Baby in Moby wrap... it's okay, but not as easy as I'd hoped for a first try. Keeping baby close = cool, though.
4/17/2008, 6:48:06 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Baby in Moby wrap... it's okay, but not as easy as I'd hoped for a first try. Keeping baby close = cool, though.
4/17/2008, 6:48:06 PM
Favs: 0
Retweets: 0
link


WikiGraph gives you a visual representation of the links existing between different Wikipedia pages. Technologies used: Wikipedia API, JQuery and d3
As for now, it only works for medieval kings.
Suggestions: Henry VIII; Louis XIV; Charles V, Holy Roman Emperor.


Athens Student Involvement
Home
MyProfile
About
Updates
Interests
Clubs
Events
Logout
Welcome To
IEEE
Upcoming Events
No events added


Vendor Name:
FOUR SEASON HOTEL
Reference Number:
6013395
Contract Date:
2009-23-03
Description of Work:
RENTAL - OTHER
Contract Period:
2009-23-03 to 2009-14-05
Delivery Date:
2009-14-05
Original Contract Value:
$0.00
Current Contract Value:
$20,960.01


"SALT", VALLEY OF a place where it is said David smote the Syrians (2 Samuel 8:13). This valley (the’ Arabah) is between Judah and Edom on the south of the Dead Sea. Hence some interpreters would insert the words,“and he smote Edom,” after the words, “Syrians” in the above text. It is conjectured that while David was leading his army against the Ammonites and Syrians, the Edomites invaded the south of Judah, and that David sent Joab or Abishai against them, who drove them back and finally subdued Edom. (Comp. title to Psalm 60.) Here also Amaziah “slew of Edom ten thousand men” (2 Kings 14:7; comp. 8: 20-22 and 2 Chronicles 25:5-11).
"SALT", VALLEY OF a place where it is said David smote the Syrians (2 Samuel 8:13). This valley (the’ Arabah) is between Judah and Edom on the south of the Dead Sea. Hence some interpreters would insert the words,“and he smote Edom,” after the words, “Syrians” in the above text. It is conjectured that while David was leading his army against the Ammonites and Syrians, the Edomites invaded the south of Judah, and that David sent Joab or Abishai against them, who drove them back and finally subdued Edom. (Comp. title to Psalm 60.) Here also Amaziah “slew of Edom ten thousand men” (2 Kings 14:7; comp. 8: 20-22 and 2 Chronicles 25:5-11).


Questions about using Elastica? Please open a ticket on Github.
Elastic is developed and maintained by the MattiaLab at the University of Illinois at Urbana-Champaign. For more information on the projects we work on, see mattia-lab.com. If you are interested in collaborating with us, please contact Mattia Gazzola.
This website was created and maintained by Noel Naughton.


Welcome to our Dairy
The mission of the Dairy Management Project is to create a communication platform between rural area people and dairy management. Our main goal is to develop this application to encourage a dairy industry. DAIRY MANAGEMENT SYSTEM is a software application to maintain day to day transactions in a Milk Distributor Office. This software help to register all the details and records of farmers, stocks ,bills etc., . To manage all these they require a full-fledged software which will take care all these.
our aim
To build a strong ,healthy and nutritious country by providing an employement to all small-scale farmers
we can improve data quality,so that we can view the records on daily basis
Their will be no error in generating the bill
Reduce the manual work
Prevent and reduce human error
Easy access of all records
working
The milk will be collected from farmers in milk centers from different villages.
Each village has a milkcenter.
An employee is assaigned to a milk center for daily milk collection .
The route officer will collect milk from milk center to the head office
and there it will be purified and converted into various products.
<-previous page


General Information
- Breed Purpose
- Dual Purpose
- Comb
- Single
- Broodiness
- Average
- Climate Tolerance
- All Climates
- Egg Productivity
- Medium
- Egg Size
- Large
- Egg Color
- Brown
- Breed Temperament
- Friendly, Easily handled, Calm
- Breed Colors/Varieties
- One variety, barred silver columbian.
- Breed Size
- Large Fowl
Delaware aka Indian River was developed in the 1940s in the United States by George Ellis in the state of Delaware. He selected the occasional light colored sport produced from the popular broiler cross of Barred Plymouth Rock roosters and New Hampshire hens. The light coloring of the sports made for a commercially more desirable table bird. The Indian River was later renamed the Delaware for its state of origin, and was the most popular broiler on the east coast for twenty years, before being replaced commercially by the Cornish-Rock broiler.
The Delaware comes in one color, white with slight black barring on the ends of the hackle, wings and tails.
It is a very good choice for a dual purpose flock in general and are decent forgers for a free range dual purpose flock. The hens are good layers of very large brown eggs, are occasionally broody and good mothers. The cockerels especially have rapid growth and make for a nice table bird. They have excellent calm temperaments and are good with other large breeds. It is popular today for small flock owners, and is still used in commercial red sex-linked crosses.
Delaware chick
Delaware hens
Delaware rooster
For more information about this breed and their owners' and breeders' experiences with them, see our breed discussion here: https://www.backyardchickens.com/threads/chicken-breed-focus-delaware.1131094/


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It never gets done if you don’t do it |
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TheRainyDay |
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TheRainyDay logo. |
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Home |
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Welcome to {YOUR USER NAME GOES HERE}’s site, Where I will host all my projects. I am part of “TheRainyDay” along with RainWillFall as our leader. I will provide links to my projects and my fellow team members in my other pages {ADD MORE HERE} |
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Tapestry is an open source data pipeline orchestration framework for user entity data.
Tapestry builds a pipeline with both data ingestion and syncing; no more user data trapped in third-party SaaS tools!


| Home | Trees | Indices | Help |
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A metaclass which copies docstrings from private to public methods.
This metaclass is meant to overwrite doc-strings of methods like Node.execute, Node.stop_training, Node.inverse with the ones defined in the corresponding private methods Node._execute, Node._stop_training, Node._inverse, etc.
This makes it possible for subclasses of Node to document the usage of public methods, without the need to overwrite the ancestor's methods.
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a new object with type S, a subtype of T |
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Returns an info dictionary containing:
>>> def f(self, x=1, y=2, *args, **kw): pass >>> info = getinfo(f) >>> info["name"] 'f' >>> info["argnames"] ['self', 'x', 'y', 'args', 'kw'] >>> info["defaults"] (1, 2) >>> info["signature"] 'self, x, y, *args, **kw' >>> info["kwargs_name"] kw |
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Select private methods that can overwrite the public docstring. Return a dictionary priv_infos[pubname], where the keys are the public name of the private method to be wrapped, and the values are dictionaries with the signature, doc, ... informations of the private methods (see _function_infodict). |
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| Generated by Epydoc 3.0.1-MDP on Mon Apr 27 21:56:16 2020 | http://epydoc.sourceforge.net |


{{define "content"}}
Hello, nice to have you! You signed up with this identifier: {{ .kratosSession.Email }}
Requests to your application contain a ORY Kratos Session Cookie which middleware checks for validity and payload. The decoded ORY Kratos Session payload is as follows:
{{.kratosSession.JsonPretty}}


built-in functions.
Clones the DOM node and renders a clone for each value in an array.

{[.]}

javascript

browser

Where there are functions declared after each
in the attribute, they are run
on each clone.
Maps scope to an array of [key, value]
arrays.

{[0]}: {[1]}

type: git

url: https://github.com/cruncher/sparky.git

Fetches and parses a JSON file and uses it as scope to render the node.

{[title]}!

Sparky!

Maps scope to the value at path
of the current scope:
{[type|capitalise]} repository
Git repository
Stops sparkifying the element. No more functions are run, and
the contents of the element are not parsed.
Returns true
where value is strictly equal to value
, otherwise false
.
Returns true
where value is an object with property
, otherwise false
.
Renders true
if value matches selector
. Behaviour is overloaded to accept
different types of selector
. Where selector
is a RegExp, value is assumed
to be a string and tested against it.
{[ .|matches:/abc/ ]} // `true` if value contains 'abc'
Where selector
is an Object, value is assumed to be an object and its
properties are matched against those of selector
.
{[ .|matches:{key: 3} ]} // `true` if value.key is `3`.
Renders the Class – the name of the constructor – of value.
Renders typeof
value.
Booleans
Where value is truthy renders a
, otherwise b
.
Numbers
Adds n
to value. Behaviour is overloaded to accept various types of ‘n’.
Where n
is a number, it is summed with value. So to add 1 to any value:
{[ number|add:1 ]}
Where ‘n’ is a duration string in date-like format, value is expected to be a
date and is advanced by the duration. So to advance a date by 18 months:
{[ date|add:'0000-18-00' ]}
Where ‘n’ is a duration string in time-like format, value is expected to be a
time and is advanced by the duration. So to put a time back by 1 hour and 20
seconds:
{[ time|add:'-01:00:20' ]}
Floors a number.
Returns the n
th root of value.
Return a value in the nominal range 0-1
from a value between min
and
max
mapped to a curve
, which is one of linear
, quadratic
, exponential
.
Return a value in the range min
-max
of a value in the range 0
-1
,
reverse mapped to curve
, which is one of linear
, quadratic
, exponential
.
Transforms values in the nominal range 0-1
to dB scale, and, when used in
two-way binding, transforms them back a number in nominal range.
Transforms a polar coordinate array to cartesian coordinates.
Transforms a polar coordinate array to cartesian coordinates.
Transforms numbers to strings with n
decimal places. Used for
two-way binding, gaurantees numbers are set on scope.
Converts number to string representing number to precision n
.
Dates
Adds ISO formatted yyyy-mm-dd
to a date value, returning a new date.
Converts an ISO date string, a number (in seconds) or a Date object
to a string date formatted with the symbols:
- `'YYYY'` years
- `'YY'` 2-digit year
- `'MM'` month, 2-digit
- `'MMM'` month, 3-letter
- `'MMMM'` month, full name
- `'D'` day of week
- `'DD'` day of week, two-digit
- `'ddd'` weekday, 3-letter
- `'dddd'` weekday, full name
- `'hh'` hours
- `'mm'` minutes
- `'ss'` seconds
- `'sss'` seconds with decimals
Times
Adds duration
, an ISO-like time string, to a time value, and
returns a number in seconds.
Add 12 hours:
```html
{[ time|add:'12:00' ]}
```
Durations may be negative. Subtract an hour and a half:
```html
{[ time|add:'-01:30' ]}
```
Numbers in a `duration` string are not limited by the cycles of the clock.
Add 212 seconds:
```html
{[ time|add:'00:00:212' ]}
```
Use `timeformat` to transform the result to a readable format:
```html
{[ time|add:'12:00'|timeformat:'h hours, mm minutes' ]}
```
Not that `duration` must be quoted because it contains ':' characters.
May be used for two-way binding.
Formats value, which must be an ISO time string or a number in seconds, to
match format
, a string that may contain the tokens:
- `'±'` Sign, renders '-' if time is negative, otherwise nothing
- `'Y'` Years, approx.
- `'M'` Months, approx.
- `'MM'` Months, remainder from years (max 12), approx.
- `'w'` Weeks
- `'ww'` Weeks, remainder from months (max 4)
- `'d'` Days
- `'dd'` Days, remainder from weeks (max 7)
- `'h'` Hours
- `'hh'` Hours, remainder from days (max 24), 2-digit format
- `'m'` Minutes
- `'mm'` Minutes, remainder from hours (max 60), 2-digit format
- `'s'` Seconds
- `'ss'` Seconds, remainder from minutes (max 60), 2-digit format
- `'sss'` Seconds, remainder from minutes (max 60), fractional
- `'ms'` Milliseconds, remainder from seconds (max 1000), 3-digit format
```html
{[ .|timeformat:'±hh:mm' ]}
-13:57
```
Type converters
Transforms booleans to strings and vice versa. May by used for two-way binding.
Transforms numbers to float strings, and, used for two-way binding,
gaurantees numbers are set on scope.
Transforms an array of numbers to a string using separator
, and,
used for two-way binding, gaurantees an array of numbers is set on scope.
Transforms numbers to integer strings, and, used for two-way binding,
gaurantees integer numbers are set on scope.
Transforms an array of numbers to a string of integers seperated with
separator
, and, used for two-way binding, gaurantees an array of integer
numbers is set on scope.
Transforms strings to numbers, and, used for two-way binding,
gaurantees float strings are set on scope.
Transforms strings to integer numbers, and, used for two-way binding,
gaurantees integer strings are set on scope.
Transforms objects to json, and used in two-way binding, sets parsed
objects on scope.
Strings
Returns value + string
.
Returns string
+ value.
Prepends value with string
until the output is n
characters long.
Appends value with string
until the output is n
characters long.
Returns the slug of value.
Returns true
if value is contained in array
, otherwise false
.
```html
{[ path|is-in:[0,1] ]}
```
Localises a number to n
digits.
Returns the lowercase string of value.
Where value is singular in a given lang
, retuns str1
, otherwise str2
.


<IP_ADDRESS>.2. Log Output of Progress Status¶
Table of contents
<IP_ADDRESS>.2.1. Contents output in the progress log¶
Outputs the following content to the log:
- Job start and end logs
- Step start and end logs
- Number of logs for processing (The number of logs for processing must be determined by the application)
- Logs for progress status of steps
- TPS (calculated from the number of logs for processing and number of processed logs) from the start
- Latest TPS (TPS calculated from the elapsed time during previous TPS calculation and number of processed logs)
- Unprocessed number
- Estimated end time (estimated end time of step determined from unprocessed number and TPS).
An output example is shown below.
INFO progress start job. job name: [test-job]
INFO progress start step. job name: [test-job] step name: [test-step]
INFO progress job name: [test-job] step name: [test-step] input count: [25]
INFO progress job name: [test-job] step name: [test-step] total tps: [250.00] current tps: [250.00] estimated end time: [2017/02/13 04:02:25.656] remaining count: [15]
INFO progress job name: [test-job] step name: [test-step] total tps: [384.62] current tps: [519.32] estimated end time: [2017/02/13 04:02:25.668] remaining count: [5]
INFO progress job name: [test-job] step name: [test-step] total tps: [409.84] current tps: [450.00] estimated end time: [2017/02/13 04:02:25.677] remaining count: [0]
INFO progress finish step. job name: [test-job] step name: [test-step] step status: [null]
INFO progress finish job. job name: [test-job]
<IP_ADDRESS>.2.2. Add the configuration to output the progress log to a dedicated log file¶
Output the log indicating progress with the log category name as progress
.
By using this category name, the log can be output to the progress log file.
Shown below is an configuration example of log.properties
when the Log Output is used.
When using log Adapter , refer to the manual of the log library corresponding to the adapter to perform the configuration.
# progress log file
writer.progressLog.className=nablarch.core.log.basic.FileLogWriter
writer.progressLog.filePath=./log/progress.log
writer.progressLog.encoding=UTF-8
writer.progressLog.formatter.className=nablarch.core.log.basic.BasicLogFormatter
writer.progressLog.formatter.format=$date$ -$logLevel$- $message$
# logger list
availableLoggersNamesOrder=SQL,MON,PROGRESS,ROO
# progress logger setting
loggers.PROGRESS.nameRegex=progress
loggers.PROGRESS.level=INFO
loggers.PROGRESS.writerNames=progressLog
<IP_ADDRESS>.2.3. Output the progress log in batchlet step¶
An implementation example to output the progress status to the log with batchlet step is shown below.
There are few cases where the batchlet requires a progress log to execute task-oriented processes. If loop processing is required in the batchlet, it would be better to output the progress log based on the implementation example given below.
- Point
At the beginning of the process method, acquire the number for processing (count result to the database, number of records in file, etc.) and configure in inputCount .
Important
The starting time for calculating TPS is the timing when inputCount is called. If intensive processing such as extracting the target data from the database after calling inputCount is performed, the TPS will be different (a value that is smaller than the actual value) from the actual result.
Calls outputProgressInfo to output the progress log at regular intervals in the loop process that performs the process.
- Implementation examples
@Named @Dependent public class ProgressBatchlet extends AbstractBatchlet { /** Function to output the progress log */ private final ProgressManager progressManager; /** Progress log output interval */ private static final int PROGRESS_LOG_INTERVAL = 1000; /** * Use constructor injection to inject the function to output the progress log. */ @Inject public ProgressBatchlet(ProgressManager progressManager) { this.progressManager = progressManager; } @Override public String process() throws Exception { // Configures the number for processing. // The number for processing is the number of records in the database or file. progressManager.setInputCount(10000); // Number of processed logs long processedCount = 0; while (while the processing targets exists) { processedCount++; // Actual process omitted if (processedCount % PROGRESS_LOG_INTERVAL == 0) { // The progress log is output by transferring the number of processed logs to the progress log output function progressManager.outputProgressInfo(processedCount); } } return "SUCCESS"; } }
<IP_ADDRESS>.2.4. Output the progress log in chunk step¶
An implementation example to output the progress status to the log with chunk step is shown below.
- ItemReader
- Point
Use constructor injection to inject the interface ( ProgressManager ) that outputs the progress log.
With the open method, acquire the number for processing (count result to the database, number of records in file, etc.) and set in inputCount .
Important
The starting time for calculating TPS is the timing when inputCount is called. If intensive processing such as extracting the target data from the database after calling inputCount is performed, the TPS will be different (a value that is smaller than the actual value) from the actual result.
- Implementation examples
@Named @Dependent public class ProgressReader extends AbstractItemReader { /** Function to output the progress log */ private final ProgressManager progressManager; /** * Use constructor injection to inject the function to output the progress log. */ @Inject public ProgressReader(ProgressManager progressManager) { this.progressManager = progressManager; } @Override public void open(Serializable checkpoint) throws Exception { // Configure the number for processing in the function that outputs the progress log with the open method. // Configures the result of the count statement for the database and number of records in the file progressManager.setInputCount(10000); } @Override public Object readItem() throws Exception { // Omitted } }
- Job definition file
- Point
- Configure the listener that outputs the progress log to the list of listeners (name is fixed as
progressLogListener
) under step.
- Configure the listener that outputs the progress log to the list of listeners (name is fixed as
- Implementation examples
<job id="batchlet-progress-test" xmlns="http://xmlns.jcp.org/xml/ns/javaee" version="1.0"> <listeners> <listener ref="nablarchJobListenerExecutor" /> </listeners> <step id="step"> <listeners> <listener ref="nablarchStepListenerExecutor" /> <listener ref="nablarchItemWriteListenerExecutor" /> <!-- Configure the listener that outputs the progress log under step. --> <listener ref="progressLogListener" /> </listeners> <chunk item-count="1000"> <reader ref="progressReader" /> <writer ref="progressWriter" /> </chunk> </step> </job>
Important
If the progress log output listener is configured without setting the number of logs for processing in ItemReader , an exception is thrown as a setting fault and the operation ends abnormally. Therefore, if the progress log is not required, make sure to delete the configuration of the progress log output listener .
Important
If the setting of retrying exceptions was performed in the chunk step, the progress log output by the listener will not function properly. This is because the number of read logs metrics being used by the listener as the number of processed logs, deviates from the actual number.
To perform the retry process using retrying exceptions when an exception occurs, calculate the number of processed logs with the implementation class ItemWriter and output the progress log using outputProgressInfo .


Fractalized Mesh Algorithm
Zachary Ferguson
Step 1: Sub-divide the mesh to create new vertices between the
original ones.
-
Use the original mesh to create a new mesh.
-
Copy over the values of the original mesh.
-
Add new rows and cols between the original rows and cols while copying.
These new vertices' heights should be the average of the adjacent
original vertices' heights.
Step 2: Change the new vertices' height value to a value
specified by a random function.
The range of the random function is half the previous range that the fractalize
function was called.
-
Iterate over the new vertices
-
Change their heights by the result of the random function.
Step 3: Set the mesh to be drawn to the newly fractalized mesh.


Loading…
501 ft.
(Empty)
531
561
591
621
651
681 ft.
(Full)
10%
20%
25%
30%
40%
50%
60%
70%
75%
80%
90%
100% (Lake Is Full)
Depth
Volume


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Traditional classroom and eLearning instruction methods are great, but reviewing material is hard. That's why we created SRSbot! Built for teams that use Slack, it's a super simple, yet very effective way to build and retain knowledge.
SRSbot is built by Administrate, a comprehensive training management solution used all over the world. This project was originally built during the first ever Administrate Hack Day! Since then we've used it internally and saw how it has transformed knowledge dissemination and learning within our team.
Now we're sharing it with you!


Informing the internet on all things it needs and doesn't need to know
Reddit is an American social news aggregation, web content rating, and discussion website. Registered members submit content to the site such as links, text posts, and images, which are then voted up or down by other members. Posts are organized by subject into user-created boards called "subreddits", which cover a variety of topics including news, science, movies, video games, music, books, fitness, food, and image-sharing. Submissions with more up-votes appear towards the top of their subreddit and, if they receive enough up-votes, ultimately on the site's front page. Despite strict rules prohibiting harassment, Reddit's administrators spend considerable resources on moderating the site
Reddit connects the internet. Here's How:
A different tree from r/Glitch_in_the_Matrix
I am Peter Moore, the longest held hostage in Iraq, kept captive for over 2.5 years. AMA from r/IAmA
TIL that there is a monument in Georgia which gives instructions in 8 languages on how to rebuild society after an unknown apocalyptic event, whilst also functioning as a compass, calendar and clock from r/todayilearned
Atleast he tried.. ¯\_(ツ)_/¯ from r/CatGifs
It’d be real cool if bags of dog food had toys the way cereal boxes do. from r/Showerthoughts
[OC] The largest lake of each EU country at scale. from r/dataisbeautiful
Painted big arm Morty on my hand. What do you think? from r/rickandmorty


{% load i18n %}
{{ available_collection.short_description|safe }}
{% comment %}Translators: On the MyLibrary page (https://wikipedialibrary.wmflabs.org/users/my_library), this text is shown to indicate how many languages a collection supports. {% endcomment %} {% trans "Languages" %}: {% if available_collection.languages %} {% for language in available_collection.languages%} {{ language }}{% if not forloop.last %}, {% endif %} {% endfor %} {% else %} {% comment %}Translators: On the MyLibrary page (https://wikipedialibrary.wmflabs.org/users/my_library), this text is shown for a partner who has no content languages to show. {% endcomment %} {% trans "Language(s) not known" %} {% endif %}
{% if available_collection.tags %} {% for tag_key, tag_value in available_collection.tags.items %} {{ tag_value }} {% endfor %} {% endif %} {% if available_collection.is_waitlisted %} {% comment %}Translators: On the MyLibrary page (https://wikipedialibrary.wmflabs.org/users/my_library), this badge is shown when a collection is waitlisted. {% endcomment %} {% trans "Waitlisted" %} {% endif %} {% if available_collection.is_not_available %} {% comment %}Translators: On the MyLibrary page (https://wikipedialibrary.wmflabs.org/users/my_library), this badge is shown when a collection is not available. {% endcomment %} {% trans "Not Available" %} {% endif %}


{% extends "hr/base.html" %} {% block dashboard_title %}Professions{% endblock %} {% block page_content %}
| Profession | Members | Growth |
|---|---|---|
| Government Communication Service | 3820 | Down |
| Government Economic Service | 900 | Down |
| Government Finance Profession | 12000 | Up |
| Government IT Profession | 9940 | Down |
| Government Knowledge and Information Management Profession | 2030 | Up |
| Government Legal Service | 8090 | Up |
| Government Occupational Psychology Profession | 1120 | Down |
| Government Operational Research Service | 620 | Up |
| Government Planning Profession | 1090 | Down |
| Government Property Profession | 3170 | Down |
| Government Security Profession | - | - |
| Government Science and Engineering Profession | 18150 | Down |
| Government Social Research Profession | 540 | Down |
| Government Statistical Service Profession | 1580 | Up |
| Government Tax Profession | 25200 | |
| Government Veterinary Profession | 310 | Down |
| Human Resources Profession | 8260 | Down |
| Internal Audit Profession | 850 | Down |
| Medical Profession | 1570 | Down |
| Operational Delivery Profession | 226150 | Down |
| Policy Profession | 19540 | Up |
| Procurement Profession | 5490 | Down |
| Project Delivery Profession | 8430 | Up |


Reports interfaces that have no concrete subclasses.
Configure the inspection:
-
Use the list below to add annotations. Interfaces declared with
one of these annotations will be ignored by the inspection.
-
Use the checkbox below to ignore interfaces that only declare constant fields.
Such interfaces may still be usable even without implementations.


OSSL_CRMF_MSG_set0_validity, OSSL_CRMF_MSG_set_certReqId, OSSL_CRMF_CERTTEMPLATE_fill, OSSL_CRMF_MSG_set0_extensions, OSSL_CRMF_MSG_push0_extension, OSSL_CRMF_MSG_create_popo, OSSL_CRMF_MSGS_verify_popo - functions populating and verifying CRMF CertReqMsg structures
#include <openssl/crmf.h>
int OSSL_CRMF_MSG_set0_validity(OSSL_CRMF_MSG *crm,
ASN1_TIME *notBefore, ASN1_TIME *notAfter);
int OSSL_CRMF_MSG_set_certReqId(OSSL_CRMF_MSG *crm, int rid);
int OSSL_CRMF_CERTTEMPLATE_fill(OSSL_CRMF_CERTTEMPLATE *tmpl,
EVP_PKEY *pubkey,
const X509_NAME *subject,
const X509_NAME *issuer,
const ASN1_INTEGER *serial);
int OSSL_CRMF_MSG_set0_extensions(OSSL_CRMF_MSG *crm, X509_EXTENSIONS *exts);
int OSSL_CRMF_MSG_push0_extension(OSSL_CRMF_MSG *crm, X509_EXTENSION *ext);
int OSSL_CRMF_MSG_create_popo(int meth, OSSL_CRMF_MSG *crm,
EVP_PKEY *pkey, const EVP_MD *digest,
OSSL_LIB_CTX *libctx, const char *propq);
int OSSL_CRMF_MSGS_verify_popo(const OSSL_CRMF_MSGS *reqs,
int rid, int acceptRAVerified,
OSSL_LIB_CTX *libctx, const char *propq);
OSSL_CRMF_MSG_set0_validity() sets the notBefore and notAfter fields as validity constraints in the certTemplate of crm. Any of the notBefore and notAfter parameters may be NULL, which means no constraint for the respective field. On success ownership of notBefore and notAfter is transferred to crm.
OSSL_CRMF_MSG_set_certReqId() sets rid as the certReqId of crm.
OSSL_CRMF_CERTTEMPLATE_fill() sets those fields of the certTemplate tmpl for which non-NULL values are provided: pubkey, subject, issuer, and/or serial. X.509 extensions may be set using OSSL_CRMF_MSG_set0_extensions(). On success the reference counter of the pubkey (if given) is incremented, while the subject, issuer, and serial structures (if given) are copied.
OSSL_CRMF_MSG_set0_extensions() sets exts as the extensions in the certTemplate of crm. Frees any pre-existing ones and consumes exts.
OSSL_CRMF_MSG_push0_extension() pushes the X509 extension ext to the extensions in the certTemplate of crm. Consumes ext.
OSSL_CRMF_MSG_create_popo() creates and sets the Proof-of-Possession (POPO) according to the method meth in crm. The library context libctx and property query string propq, may be NULL to select the defaults. In case the method is OSSL_CRMF_POPO_SIGNATURE the POPO is calculated using the private key pkey and the digest method digest, where the digest argument is ignored if pkey is of a type (such as Ed25519 and Ed448) that is implicitly associated with a digest alorithm.
meth can be one of the following:
OSSL_CRMF_POPO_NONE - RFC 4211, section 4, POP field omitted. CA/RA uses out-of-band method to verify POP. Note that servers may fail in this case, resulting for instance in HTTP error code 500 (Internal error).
OSSL_CRMF_POPO_RAVERIFIED - RFC 4211, section 4, explicit indication that the RA has already verified the POP.
OSSL_CRMF_POPO_SIGNATURE - RFC 4211, section 4.1, only case 3 supported so far.
OSSL_CRMF_POPO_KEYENC - RFC 4211, section 4.2, only indirect method (subsequentMessage/enccert) supported, challenge-response exchange (challengeResp) not yet supported.
OSSL_CRMF_POPO_KEYAGREE - RFC 4211, section 4.3, not yet supported.
OSSL_CRMF_MSGS_verify_popo verifies the Proof-of-Possession of the request with the given rid in the list of reqs. Optionally accepts RAVerified. It can make use of the library context libctx and property query string propq.
All functions return 1 on success, 0 on error.
RFC 4211
The OpenSSL CRMF support was added in OpenSSL 3.0.
Copyright 2007-2021 The OpenSSL Project Authors. All Rights Reserved.
Licensed under the Apache License 2.0 (the "License"). You may not use this file except in compliance with the License. You can obtain a copy in the file LICENSE in the source distribution or at https://www.openssl.org/source/license.html.


Senior Leader Course
S308: The Rapid Decisionmaking and Synchronization Process
* * *
Table of Contents
- Course of Action 3
- Scope 4
- Learning Objective 5
- Assigned Reading 6
- The Rapid Decision Synchronization Process (RDSP) 7
- Steps to The Rapid Decision Synchronization Process 10
- Compare the Current Situation to the Order 12
- Change Indicators 14
- Determine the Type of Decision Required 16
- Course of Action Video 18
- Course of Action Implementation 22
- Summary 27
Scope
At the end of this four–hour lesson, learners will have conducted the rapid decisionmaking and synchronization process. As a result, learners will have a better understanding of how to seek timely and effective solution within the commander’s intent, mission, and concept of operations.
Answer the question in your journal before selecting further analysis button.
What is the The Rapid Decision Synchronization Process (RDSP)?
Further Analysis
Possible Answer:
Ref: FM 6–0, para 14–9
The rapid decisionmaking and synchronization process is a technique that commanders and staffs commonly use during execution. While identified here with a specific name and method, the approach is not new; its use in the Army is well established. Commanders and staffs develop this capability through training and practice. When using this technique, the following considerations apply:
- Rapid is often more important than process
- Much of it may be mental rather than written
- It should become a battle drill for the current operations integration cells, future operations cells, or both
Answer the question in your journal before selecting further analysis button.
How many steps does RSDP consist of?
Further Analysis
Possible Answer:
Ref: FM 6–0, para 14–12
The rapid decisionmaking and synchronization process is based on an existing order and the commander’s priorities as expressed in the order. The most important of these control measures are the commander’s intent, concept of operations, and commander’s critical information requirements (CCIRs). The rapid decisionmaking and synchronization process includes five steps. The first two may be performed in any order, including concurrently. The last three are performed interactively until commanders identify an acceptable course of action. (See figure 14–1.)
Answer the question in your journal before selecting further analysis button.
How do commanders and staffs identify likely variances during planning?
Answer the question in your journal before selecting further analysis button.
What are some of the indicators/conditions that can cause commanders to make changes to the current operation?
Answer the question in your journal before selecting further analysis button.
What must a commander and staff do when the variance has a significant effect on the operation?
Further Analysis
Possible Answer:
Ref: FM 6–0, para 14–16
Determine if a new course of action should be developed.
When a variance is identified, the commander directs action while the chief of operations leads chiefs of the current operations integration cell and selected functional cells in quickly comparing the current situation to the expected situation. This assessment accomplishes the following:
- Describes the variance
- Determines if the variance provides a significant opportunity or threat and examines the potential of either
- Determines if a decision is
needed by identifying if the variance:
- Indicates an opportunity that can be exploited to accomplish the mission faster or with fewer resources
- Directly threatens the decisive operation’s success
- Threatens a shaping operation such that it may threaten the decisive operation directly or in the near future
- Can be addressed within the commander’s intent and concept of operations – if so, determine what execution decision is needed
- Requires changing the concept of operations substantially - if so, determine what adjustment decision or new approach will best suit the circumstances
For minor variances, the chief of operations works with other cell chiefs to determine whether changes to control
measures are needed. If so, they determine how those changes affect other warfighting functions. They direct changes
within their authority (execution decisions) and notify the COS (XO) and the affected command post cells and staff
elements.
Ref: FM 6–0, para 14–17
Commanders intervene directly in cases that affect the overall direction of the unit. They describe the situation,
direct their subordinates to provide any additional information they need, and order either implementation of planned
responses or development of an order to redirect the force.
Ref: FM 6–0, para 14–18
Answer the question in your journal before selecting further analysis button.
What were the major key points in the video?
Further Analysis
Possible Answer:
Ref: FM 6–0, para 14–16
Answers may include some of the following:
- Mission
- Commander’s intent
- Current dispositions and freedom of action
- CCIRs
- Limiting factors, such as supply constraints, boundaries, and combat strength
Course of Action Explained
The new options must conform to the commander’s intent. Possible COAs may alter the concept of operations and CCIRs, if
they remain within the commander’s intent. However, the commander approves changes to the CCIRs. Functional cell chiefs
and other staff leaders identify areas that may be affected within their areas of expertise by proposed changes to the
order or mission. Course of action considerations include, but are not limited to, those shown in table 14–3.
Ref: FM 6–0, para 14–20
The commander is as likely as anyone else to detect the need for change and to sketch out the options. Whether the
commander, COS (XO), or chief of operations does this, the future operations cell is often directed to further develop
the concept and draft the order. The chief of operations and the current operations integration cell normally lead this
effort, especially if the response is needed promptly or the situation is not complex. The commander or COS (XO) is
usually the decisionmaking authority, depending on the commander’s delegation of authority.
Ref: FM 6–0, para 14–21
Commanders may delegate authority for execution decisions to their deputies, COSs (XOs), or their operations officers.
They retain personal responsibility for all decisions and normally retain the authority for approving adjustment decisions.
Ref: FM 6–0, para 14–22
When reallocating resources or priorities, commanders assign only minimum essential assets to shaping operations. They
use all other assets to weight the decisive operation. This applies when allocating resources for the overall operation
or within a warfighting function.
Ref: FM 6–0, para 14–23
Commanders normally direct the future operations cell or the current operations integration cell to prepare a fragmentary
order (FRAGORD) setting conditions for executing a new COA. When lacking time to perform the MDMP, or quickness of action
is desirable, commanders make an immediate adjustment decision—using intuitive decisionmaking—in the form of a focused COA.
Developing the focused COA often follows mental war–gaming by commanders until they reach an acceptable COA. If time is
available, commanders may direct the plans cell to develop a new COA using the MDMP, and the considerations for planning
become operative.
Ref: FM 6–0, para 14–24
Answer the question in your journal before selecting further analysis button.
How is a new COA implemented?
Further Analysis
Possible Answer:
Ref: FM 6–0, para 14–25 thru 14–27
Upon the acceptance of a COA, the COS (XO) will recommend implementation to the commander or implements it directly, if they have been given authority to do so by their commander. This normally requires a FRAGORD; in some instances it may require a new operation order (OPORD).
Refine and Validate the Course of Action
Once commanders describe the new COA, the current operations integration cell conducts an analysis to validate its
feasibility, suitability, and acceptability. If acceptable, the COA is refined to resynchronize the warfighting functions
enough to generate and apply the needed combat power. Staffs with a future operations cell may assign that cell responsibility
for developing the details of the new COA and drafting a fragmentary order to implement it. The commander or COS (XO) may
direct an “on–call” operations synchronization meeting to perform this task and ensure rapid resynchronization.
Ref: FM 6–0, para 14–25
Validation and refinement are done quickly. Normally, the commander and staff officers conduct a mental war game of the new COA. They consider potential enemy reactions, the unit’s counteractions, and secondary effects that might affect the force’s synchronization. Each staff member considers the following items:
- Is the new COA feasible in terms of my area of expertise?
- How will this action affect my area of expertise?
- Does it require changing my
information requirements?
- Should any of the information requirements be nominated as a CCIR?
- What actions within my area of expertise does this change require?
- Will this COA require changing objectives or targets nominated by staff members?
- What other command post cells and elements does this action affect?
- What are potential enemy reactions?
- What are the possible friendly counteractions?
- Does this counteraction affect my area of expertise?
- Will it require changing my information requirements?
- Are any of my information requirements potential CCIRs?
- What actions within my area of expertise does this counteraction require?
- Will it require changing objectives or targets nominated by staff members?
- What other command post cells and elements does this counteraction affect?
Ref: FM 6–0, para 14–26
The validation and refinement will show if the COA will solve the problem adequately. If it does not, the COS or chief
of operations modifies it through additional analysis or develops a new COA. The COS (XO) informs the commander of any
changes made to the COA.
Ref: FM 6–0, para 14–27
Answer question(s) in your journal.
How will you use RDSP at your unit?
How will your understanding of COA development enhance your decisionmaking?
Your facilitator will provide instructions for the Develop a Course of Action Learning Activity.


{% load static %}
| Name | Phone | Roll Number | Abroad? | Position | |
|---|---|---|---|---|---|
| Name | Phone | Roll Number | Abroad? | Position | |
| {{ brother.name }} | {{ brother.phone }} | {{ brother.email }} | {{ brother.rollnumber }} | {{ brother.abroad_flag }} | {{ brother.position }} |
| No matching records found |


After many months of development we have a HTML5 & CSS3 compliant Framework that provides a way of creating CloudApps that work on Mobile devices, Desktops and Even Game consoles.
We have designed the H5C3 Framework around the Google Chromium Framework. No other browser is currently supported at this time. The reason for this is quite simple...Google Chrome just works, flawlessy with all W3C standards. Microsoft Internet Explorer, Apple Safari and the others all issues and or bugs which even though a work around could be done...it would diminish your overall experience with our services and applications.
 There is no need for the developers to maintain computer systems, backups, write installers, updaters, etc. The DevPortal provides for Project management, version tracking, support desk, Online IDE, Bulding, Sandbox, everything a developer needs.
We have designed the H5C3 Framework around the Google Chromium Framework. No other browser is currently supported at this time. The reason for this is quite simple...Google Chrome just works, flawlessy with all W3C standards. Microsoft Internet Explorer, Apple Safari and the others all issues and or bugs which even though a work around could be done...it would diminish your overall experience with our services and applications.
The entire framework was designed to be developer friendly. We provide you with the resources and support you need, We certifiy the WebApp (including ESRB if a game), We publish and then we handle the financial side for you, just tell us where to deposit your $$$.


{{- define "main" -}}
This is a paragraph. The font family is monospace and for the headings 1 to 3 it's Sans-Serif. Some bold text. Italics also looks nice. You can underline things you feel are important. has styles that override the default heading styles, including margin.
inline code;
inline samp; and kbd: ctrl
c
Code blocks are code tags wrapped with pre tags.  I always used it as a reference.
— Also me
Lists are default HTML lists. I tried a few things but figured the defaults are all that's needed (imo).
Tables looks nice too:
| Name | Username | secondary email | |
|---|---|---|---|
| Lorem Ipsum | lorem |<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|
| Lorem Ipsum | lorem |<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|
Buttons are created with either a button or an anchor, they both must have the btn
class.


Signs of Disease in Common Houseplants
Just like people or pets, houseplants occasionally succumb to disease.  But many times, if you know what to look for, you can spot warning signs of an outbreak and act to defeat the disease. Many common houseplant diseases operate in an opportunistic fashion, taking hold when plants are stressed due to unfavorable growing conditions. The single greatest thing you can do to prevent disease outbreaks is to provide a suitable growing environment. This means using proper soil, not crowding plants, avoiding drafts, and providing adequate temperature, humidity, light, water and drainage.
Disease Symptoms: What To Watch For
When disease attacks a plant, it's easily visible. Growth slows, stunts or becomes spindly; leaves may yellow, show white powdery blotches or develop spots. Affected leaves eventually drop. Stems may become soft and mushy, with black tissue visible near the soil. Waterlogged soil – either from overwatering or compacted soil that lacks air pockets – causes roots to suffocate and die, trading their white tubular appearance for a spongy, blackened mess. Root problems usually surface as a plant that remains wilted, even though soil is adequately moist. Slip a plant you suspect is having root issues from its pot. Blackened roots and a sour or ammonia odor are sure signs the root system is unhealthy.
Dealing With Diseased Plants
Follow these steps to prevent disease development and spread.
- Isolate diseased plants.
- Wash hands between plants when working with different houseplants.
- Provide adequate water – don't overwater or underwater.
- Double-check light needs; adjust a plant's location accordingly
- Avoid crowding plants. Ensure that air flows freely around plants. If necessary, use a small fan to improve airflow.
- Give up on the most diseased. Sometimes you'll need to toss plants you can't cure.
Common Diseases
Gray Mold
Also called Botrytis; a fungal disease that can attack every part of a plant. Resembles fuzzy Gray Mold. To prevent, faithfully remove dead leaves or flowers from stems and soil, and provide adequate air circulation. Commonly attacks Begonia, African Violet and Cyclamen.
Powdery Mildew:
White powder appears on leaves. Powdery Mildew doesn't kill plants, but greatly weakens them. Associated with poor air circulation.


--- layout: default title: "Home" ---
JSIS is short for JavaScript IRC Stats. In short, it's a Node.js application that generates static web-pages for displaying IRC channel usage statistics.
If the word "IRC" means nothing to you, it's quite likely this application will be completely useless for you.
JSIS collects and shows many different statistics, below is a list of some.
I grew bored of looking at the old stats generated with pisg, and the other generators. I then thought I'd make my own stats program, with a more modern feel to it, and a more modern looking output.
The code in JSIS should also be somewhat easy to manage, and themeing should be pretty easy, if you get sick of the default theme. There's a widget system for adding content areas, e.g. "Most referenced words" in a somewhat simple way.
The code can be downloaded from the GitHub project page. GitHub also hosts the Wiki, and issue tracking. The JSIS homepage at JSIS.name serves as a place to publish documentation etc. in a better format.
Stable and ready are both relative terms. Is it ready? ... probably never will be, as the requirements keep growing as features are finished. Is it stable? If I commit, it doesn't crash for me. There's still a lot more to code, and many features need heavy "fine tuning" to generate better statistics.
Is it usable? It should be, assuming it happens to support the log format you need.
Some features that aren't ready:
At the moment, JSIS supports the default log formats of:
Some clients etc. are pretty dumb and alter the log format based on themes etc., you might find help with cleaning them up to a format that can be parsed in the Wiki.
If you've stuck here for this long, you might be interested of the licensing of this awesome creation. Worry not, my friends, this thing is open source.
JSIS itself is released under two licenses: new BSD, and MIT. You may pick the license that best suits your development needs. The exact text of both licenses are provided with the source code.
Please refer to the documentation.


WITNESS LIST Economic Development Committee May 18, 1997-6:00P HB 102 Registering, but not testifying: For: Hernandez, Leslie (Maternal&Child Coaltion), Austin Pollard, Mike (TALHI), Austin On: Myron, Rhonda (TDI), Austin HB 768 Registering, but not testifying: For: Beachley, Pam (BICA), Austin Howden, Robert (Fed Independent Busines), Austin Kamm, Robert (TABC), Austin Against: Bowden, Don (TTLA), Austin HB 1173 Registering, but not testifying: For: McClure, Spencer (MHMR Centers), Austin HB 1202 Against: Aaron, Ron (Rape Crisis Center), San Antonio Dillow, Lana K. (self), Portland Lambe, Dan (TX Citizen Action), Austin Riddering, Hannah (TX NOW), Austin Suraci, Barbara (We Will Not Forget SAJE), Austin On: Bowen, J. Donald (TTLA), Houston Registering, but not testifying: For: Howden, Robert (NFIB / TX), Austin Kamm, Robert (TABCC), Austin Against: Flores, LuLu (TWPC), Austin Lyons, Laura (TAASA), Austin HB 1356 For: Davis, Brian (Funeral Dir's Life Ins.), Austin Registering, but not testifying: For: Bernie, Burner (self), Austin Herrick, Brian (Mission Life & Plans), Austin Pollard, Mike (TALHI), Austin Shawn, Jim (Assn of Ins Officials), Austin Sneed, Robert (self), Austin On: Myron, Rhonda (TDI), Austin HB 1465 For: Rice, Robert C. (NAPEO), Houston Registering, but not testifying: For: Hull, Cordell (self), Austin Kosta, Larry E. (IESC), Austin HB 1477 Registering, but not testifying: For: Huxel, Bob (Ins Agents Assoc.), Austin On: Shawn, Jim (TCPIA), Austin HB 1662 For: Burner, Burnie (TX Co. Mutual Assn.), Austin Against: Bosse, Fred C. (USAA), San Antonio Davis, Will (USAA), Austin Geiger, Richard (Vesta County Mutual), Dallas Graves, William (PCMI), Austin Palmer, Eugene (Allstate Ins.), Austin Thompson, Jay (AFACT), Austin On: Bomer, Elton (TDI), Austin Durden, David (TDI), Austin Registering, but not testifying: For: Bryan, Bradley (self), Austin Against: Watkins, Robert (State Farm Ins. Co.), Bloomington HB 1789 For: Schneider, Rob (Consumers Union), Austin Registering, but not testifying: On: Myron, Rhonda (TDI), Austin HB 2001 For: Desrochers, Gerard A. (Duddleston Investment), Houston Richmond, Karin (Owens Corning), Austin Registering, but not testifying: For: Castaneda, Tris (City of San Antonio), Austin Forbes, Scott (City of Houston), Houston Kamm, Robert (TABCC), Austin Kanterczyk, David C. (Duddlesten Companies), Houston White, Michael (GrtrHouston Partnership), Austin On: Albright, Jim (TDC), Austin Wattles, Dan (TDC), Austin HB 2133 Registering, but not testifying: On: Brown, Todd (TWC), Austin Mullen, Carl (self), Austin HB 3076 Registering, but not testifying: For: Sandberg, Eric (TSCBA), Austin On: Marines, John T. (TX Savings & Loans), Austin HB 3077 Registering, but not testifying: For: Sandberg, Eric (TSCBA), Austin On: DeMarines, John T. (TX Savings & Loan Dept.), Austin HB 3078 Registering, but not testifying: For: Sandberg, Eric (TSCBA), Austin On: DeMarines, John T. (TX Savings & Loans), Austin HB 3139 For: Kamm, Robert (TABCC), Austin On: Stephens, Mike (Nabors Drilling), Odessa Registering, but not testifying: On: Brown, Todd (TWC), Austin HB 3202 Registering, but not testifying: For: Thompson, Jay (AFACT), Austin HB 3279 Registering, but not testifying: On: Brown, Todd K. (self), Austin HB 3522 For: Beechley, Pam (BICA), Austin Against: Geiger, Richard (AFCCT), Dallas Registering, but not testifying: For: Kamm, Robert (TABCC), Austin On: Brown, Todd (self), Austin HB 3563 For: Davis, Will (Hertz Corp.), Austin Registering, but not testifying: On: Myron, Rhonda (TDI), Austin HB 3575 Registering, but not testifying: For: Bernie, Burner (Swiss Re.), Austin HCR 204 Registering, but not testifying: On: Macias, Luis (TWC), Austin SB 189 For: Dromgoole, Charlie (Ablilene Chamber), Abilene Registering, but not testifying: For: Kamm, Robert (TABCC), Austin Pinkus, David (Small Business United), Austin Against: Bowan, Don (TTLA), Austin


#include <boost/preprocessor/control/expr_if.hpp>
#include <boost/preprocessor/tuple/elem.hpp>
#define CV(n) \
BOOST_PP_EXPR_IF( \
n, \
BOOST_PP_TUPLE_ELEM( \
4, n, \
(..., const, volatile, const volatile) \
) \
) \
/**/
CV(0) // 展开为空
CV(1) // 展开为 const
Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at www.boost.org/LICENSE_1_0.txt)


Home
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in cooperation with Governor, the Division of Financial Management, Legislative Services Office, and Office of the CIO
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(Idaho Courts)
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edu.uci.isr.yancees.server.rmi
Class RemoteSubscriberImplementation
java.lang.Object
java.rmi.server.RemoteObject
java.rmi.server.RemoteServer
java.rmi.server.UnicastRemoteObject
edu.uci.isr.yancees.server.rmi.RemoteSubscriberImplementation
- All Implemented Interfaces:
- java.rmi.Remote, RemoteSubscriberInterface, java.io.Serializable
- Direct Known Subclasses:
- YanceesRMIClient.SubscriberMediator
- public abstract class RemoteSubscriberImplementation
- extends java.rmi.server.UnicastRemoteObject
- implements RemoteSubscriberInterface
This class provides the common functionality for a remote subscriber in the
yancees framework. It provides a remote callback interface to receive events
coming from the yancees remote server. This is a convenience class.
It can be extended in order to implement custom subscribers.
It provides all necessary RMI initializations.
- See Also:
- Serialized Form
| Fields inherited from class java.rmi.server.RemoteObject |
ref |
| Methods inherited from class java.rmi.server.UnicastRemoteObject |
clone, exportObject, exportObject, exportObject, unexportObject |
| Methods inherited from class java.rmi.server.RemoteServer |
getClientHost, getLog, setLog |
| Methods inherited from class java.rmi.server.RemoteObject |
equals, getRef, hashCode, toString, toStub |
| Methods inherited from class java.lang.Object |
finalize, getClass, notify, notifyAll, wait, wait, wait |
RemoteSubscriberImplementation
public RemoteSubscriberImplementation()
throws java.rmi.RemoteException
- Initialized this remote interface and registers it with the localhost
rmiregistry
- Throws:
java.rmi.RemoteException
notify
public abstract void notify(EventInterface evt)
throws java.rmi.RemoteException
- Receives notification from the remote server.
- Specified by:
notify
in interface RemoteSubscriberInterface
- Parameters:
evt
- is an event container (text or DOM parsed XML)
- Throws:
java.rmi.RemoteException
- in case of connection errors.
notify
public abstract void notify(EventInterface[] evtList)
throws java.rmi.RemoteException
- Receives notification from the remote server.
- Specified by:
notify
in interface RemoteSubscriberInterface
- Parameters:
evtList
- is a list event containers (text or DOM parsed XML)
- Throws:
java.rmi.RemoteException
- in case of connection errors.


Load track with selection
Pass a start time and end time in seconds to pre select an area on a track


KeyboardLeopard Options
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Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering.
| Version: | 0.4.5 |
| Imports: | SpatialTools, fields, parallel, maps, smacpod, spdep, matrixStats, sp |
| Suggests: | testthat, SpatialEpi |
| Published: | 2018-04-19 |
| Author: | Joshua French |
| Maintainer: | Joshua French <joshua.french at ucdenver.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Spatial |
| CRAN checks: | smerc results |
| Reference manual: | smerc.pdf |
| Package source: | smerc_0.4.5.tar.gz |
| Windows binaries: | r-devel: smerc_0.4.5.zip, r-release: smerc_0.4.5.zip, r-oldrel: smerc_0.4.5.zip |
| OS X binaries: | r-release: smerc_0.4.5.tgz, r-oldrel: smerc_0.4.5.tgz |
| Old sources: | smerc archive |
| Reverse imports: | FlexScan |
Please use the canonical form https://CRAN.R-project.org/package=smerc to link to this page.


|
LVTK
API for writing LV2 plugins and UIs in C++
|
Adds LV2 worker support to your instance. More...
#include <lvtk/ext/worker.hpp>
Public Member Functions | |
| WorkerStatus | work (WorkerRespond &respond, uint32_t size, const void *data) |
| Perform work as requested by schedule_work. More... | |
| WorkerStatus | work_response (uint32_t size, const void *body) |
Process work responses sent with respond in the work callback. More... | |
| WorkerStatus | end_run () |
| Called at the end of a processing cycle. | |
Public Attributes | |
| WorkerSchedule | schedule_work |
| Use this to schedule a job with the host. More... | |
Adds LV2 worker support to your instance.
Add this to your instance's Mixin list to activate it.
|
inline |
Perform work as requested by schedule_work.
| respond | Function to send responses with |
|
inline |
Process work responses sent with respond in the work
callback.
| size | Size of response data |
| data | The reponse data |
| WorkerSchedule schedule_work |
Use this to schedule a job with the host.
This is a function object so it can be called directly.
Example:
The above code would result in work
being called where "non_rt_job" is the data parameter


Semicolon insertion
- JavaScript helpfully (!) inserts semicolons when you forget
- Makes the language whitespace sensitive
- Lesson: use standard formatting
Generous operators
- Implicit type conversions
- Ignoring 'small' differences
Overloading of +
- Meaning of + depends on context
- Source of hard-to-track bugs
- Lesson: be careful, don't be clever
Strange Equalities
- The == operator is complicated, and not transitive
- (And for extra entertainment, remove the parens!)
- Lesson: use === and !== instead (try it!)
Special Values
- NaN and its properties
- The needless null
Not a number?
- NaN: a bad idea from IEEE 754
- Lesson: avoid it, especially comparisons
Null or undefined?
- Why null? Not clear
- Don't confuse with undefined
- In this code, should have used undefined
Truthiness
- Truthy and falsy values
- The troubles they cause
Truthiness
- Non-boolean values can be used in conditionals
- Truthy values are like true; falsy values are like false
- Lesson: use only booleans in boolean expressions
Prototypes
- No empty objects
- Problems with new & this
No empty objects
- No truly empty objects, due to prototype fields
- Entertaining example below by Doug Crockford
- Lesson: don't use objects as hash tables
Omitting new
- new allocates object & binds to this
- If omitted, this is bound to the global environment (!)
- Lesson: design constructors that don't use new
this and that
- The variable this is dynamically scoped
- Inside a function call o.f(), this is bound to o
- Lesson: avoid use of this; work around by defining that
Function declarations
- function f () {} short for var f = function () {}
- But not quite...
Silent Failure
- Examples of silent failure
- Strict mode
Silent Failure
- Illegal actions often have no effect in JavaScript
- Instead of complaining, interpreter just continues silently
- Violates principle of early errors
Strict mode
- A helpful hack to make JavaScript less generous
- Just put "use strict" as first line in script or function
- Turns some silent errors into thrown exceptions
- Disables some features (eg, eval)
- (Demo works in console but not live slide: not sure why)


These systems make it easy to instantly check key information about inventory levels, project status, financial reporting and employee performance metrics directly
This ideally helps employees who work from home or travel for their jobs
The value of IT consultants goes well beyond the cost reduction of their efficiency strategies.
Being guided by an industry expert can give both peace of mind and increase the likelihood of success.
An automated system provides a visual and organized platform
This frees up your time to work on items that add genuine value to the business
eg:Business Documents Processing
Computer engineering in a business is essential in giving high security against any fraudsters
It also enhances proper telecommunication planning and product development
The value of IT consultants goes well beyond the cost reduction of their efficiency strategies.
Being guided by an industry expert can give both peace of mind and increase the likelihood of success.
Web app gives you a wider landscape as it allows you to capture multiple users on different platforms such as mobile, web
It allows you to showcase your products and services without prompting users to install the app on their phones.


---
layout: js-documentation
title: Ink.Autoload
description:
site_root: ../
---
All samples are using Add a new entry to be autoloaded. moduleName
selector
Removes a module from autoload, making it not be automatically loaded. moduleName
Run Autoload on a specific element. Useful when you load something from AJAX and want it to have automatically loaded Ink modules.Ink.requireModules
, please read how to use it at Ink.requireModules section
Ink.Autoload namespace
Function name
Description
.add(moduleName, selector)
Add a new entry to be autoloaded.
.remove(moduleName)
Removes a module from autoload, making it not be automatically loaded.
.run(parentEl, [options])
Run Autoload on a specific element.
Property name
Description
.selectors
Matches module names to default selectors. {Object}
.add(moduleName, selector)
method
Accepts
.remove(moduleName)
method
Accepts
.run(parentEl, [options])
method
parentEl
Root element. The children of this element will be processed by Autoload.options
Options object, containing:options.forceAutoload
Autoload things on elements even if they have `data-autoload="false"`options.createClose
Whether to create the Ink.UI.Close component. Defaults to `true`.options.createSmoothScroller
Whether to create the Scroller component. Defaults to `true`.options.selectors
Ink.Autoload.selectorsA hash mapping module names to selectors that match elements to load these modules. For example, `{ 'Modal_1': '.my-specific-modal' }`.options.waitForDOMLoaded
falseDo nothing until the DOM is loaded. Uses Ink.Dom.Loaded.run();Matches module names to default selectors.
{Object}


your
question?
Your
question
is
one
that's
being
asked
by
college
kids
all
over
this
country
as
in
Pennsylvania
with
someone
who
just
graduated.
This
was
in
Philadelphia,
and
she
said
I've
got
my
degree.
I
can't
find
a
job.
I've
got
three
part
time
jobs.
They're
just
barely
enough
to
pay
for
my
food
and
pay
for
an
apartment.
I
can't
begin
to
pay
back
my
student
loans.
So
we
have
to
do
is
two
things.
We
have
to
make
sure
that
we
make
it
easier
for
kids
to
afford
college
and
also
make
sure
that
when
they
get
out
of
college,
there's
a
job.
When
I
was
governor,
Massachusetts
toe,
get
a
high
school
degree.
You
had
to
pass
an
exam.
If
you
graduated
in
the
top
quarter
of
your
class,
we
gave
you
a
John
and
Abigail
Adams
scholarship.
Four
years
tuition
free
to
the
college
of
your
choice
in
Massachusetts.
It's
a
public
institution.
I
want
to
make
sure
we
keep
our
Pell
Grants
Pell
Grant
program
growing.
We're
also
gonna
have
our
loan
programs
so
that
people
are
able
toe
afford
school.
But
the
key
thing
is
to
make
sure
you
could
get
a
job
when
you
get
out
of
school.
And
what's
happened
over
the
last
four
years
has
been
very,
very
hard
for
America's
young
people.

I
know
what
it
takes
to
get
this
economy
going.
With
half
of
college
kids
graduating
this
year
without
a
college
except
without
a
job
and
without
a
college
level
job,
that's
just
unacceptable.
And
likewise,
you
got
more
and
more
debt
in
your
back.
So
more
debt
and
less
jobs.
I'm
gonna
change
that.
I
know
what
it
takes
to
create
good
jobs
again.
I
know
what
it
takes
to
make
sure
that
you
have
that
kind
of
opportunity
you
deserve.
And
kids
across
this
country
are
going
to
recognize
we're
bringing
back
in
economy.

The
middle
class
has
been
crushed
over
the
last
four
years,
and
jobs
have
been
too
scarce.
I
know
what
it
takes
to
bring
him
back.
And
I'm
gonna
do
that.
Make
sure
when
you
graduate
when
you
graduate


The Hough transform in its simplest form is a method to detect straight lines.
In the following example, we construct an image with a line intersection. We then use the Hough transform to explore a parameter space for straight lines that may run through the image.
Usually, lines are parameterised as , with a gradient and y-intercept c. However, this would mean that goes to infinity for vertical lines. Instead, we therefore construct a segment perpendicular to the line, leading to the origin. The line is represented by the length of that segment, , and the angle it makes with the x-axis, .
The Hough transform constructs a histogram array representing the parameter space (i.e., an matrix, for different values of the radius and different values of ). For each parameter combination, and , we then find the number of non-zero pixels in the input image that would fall close to the corresponding line, and increment the array at position appropriately.
We can think of each non-zero pixel “voting” for potential line candidates. The local maxima in the resulting histogram indicates the parameters of the most probably lines. In our example, the maxima occur at 45 and 135 degrees, corresponding to the normal vector angles of each line.
Another approach is the Progressive Probabilistic Hough Transform [1]. It is based on the assumption that using a random subset of voting points give a good approximation to the actual result, and that lines can be extracted during the voting process by walking along connected components. This returns the beginning and end of each line segment, which is useful.
The function probabilistic_hough has three parameters: a general threshold that is applied to the Hough accumulator, a minimum line length and the line gap that influences line merging. In the example below, we find lines longer than 10 with a gap less than 3 pixels.
| [1] | C. Galamhos, J. Matas and J. Kittler,”Progressive probabilistic Hough transform for line detection”, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999. |
| [2] | Duda, R. O. and P. E. Hart, “Use of the Hough Transformation to Detect Lines and Curves in Pictures,” Comm. ACM, Vol. 15, pp. 11-15 (January, 1972) |
from skimage.transform import (hough_line, hough_line_peaks,
probabilistic_hough_line)
from skimage.filter import canny
from skimage import data
import numpy as np
import matplotlib.pyplot as plt
# Construct test image
image = np.zeros((100, 100))
# Classic straight-line Hough transform
idx = np.arange(25, 75)
image[idx[::-1], idx] = 255
image[idx, idx] = 255
h, theta, d = hough_line(image)
plt.figure(figsize=(8, 4))
plt.subplot(131)
plt.imshow(image, cmap=plt.cm.gray)
plt.title('Input image')
plt.subplot(132)
plt.imshow(np.log(1 + h),
extent=[np.rad2deg(theta[-1]), np.rad2deg(theta[0]),
d[-1], d[0]],
cmap=plt.cm.gray, aspect=1/1.5)
plt.title('Hough transform')
plt.xlabel('Angles (degrees)')
plt.ylabel('Distance (pixels)')
plt.subplot(133)
plt.imshow(image, cmap=plt.cm.gray)
rows, cols = image.shape
for _, angle, dist in zip(*hough_line_peaks(h, theta, d)):
y0 = (dist - 0 * np.cos(angle)) / np.sin(angle)
y1 = (dist - cols * np.cos(angle)) / np.sin(angle)
plt.plot((0, cols), (y0, y1), '-r')
plt.axis((0, cols, rows, 0))
plt.title('Detected lines')
# Line finding, using the Probabilistic Hough Transform
image = data.camera()
edges = canny(image, 2, 1, 25)
lines = probabilistic_hough_line(edges, threshold=10, line_length=5, line_gap=3)
plt.figure(figsize=(8, 3))
plt.subplot(131)
plt.imshow(image, cmap=plt.cm.gray)
plt.title('Input image')
plt.subplot(132)
plt.imshow(edges, cmap=plt.cm.gray)
plt.title('Canny edges')
plt.subplot(133)
plt.imshow(edges * 0)
for line in lines:
p0, p1 = line
plt.plot((p0[0], p1[0]), (p0[1], p1[1]))
plt.title('Probabilistic Hough')
plt.axis('image')
plt.show()
Python source code: download (generated using skimage 0.9.0)


For signature operations in DLT nodes/applications a private key is normally used locally to sign a message.
HSMs transfer the private key handling from the application server to a dedicated secure hardware device.
For an application to use an HSM it calls an API with credentials and a message payload for the key on the HSM to sign.
If an application is compromised the private key can be forced to sign messages chosen by the attacker.
The attacker can perform a time consuming chosen-plaintext attack to reveal the private keys.
But it is much easier to send the HSM a payload to sign that gives the attacker all of the funds secured by your keys…
KeyGuardAPI sits in between the application and the HSM and firewalls each signature request to the HSM.
If the request does not fit the configured validation requirements it is rejected and does not reach your HSM.
Once messages are signed by the HSM they are sanitized again to ensure safe data is returned to the application.
This prevents even the most determined hackers from gaining unintended access to your private keys.
safeSig <.io> never has unencrypted access to your private keys


This introduction aims to show basic usage of a Jupyter notebook, with some details geared towards users inside the EUCP project. For more details on Jupyter notebooks and usage, there are lots of resources on the internet for further reading.
This particular introduction will not show any actual code examples: it keeps it more general, and tries to point out how the Jupyter Hub interface works, and what some things are to be aware of. There will be pointers near the end to actual code examples. The latter, though, have more to do with how to perform some specific analysis in a specific language (Python, mostly), than how to work with a Jupyter Hub.
Note that you can get more (and possibly better) documentation from the help menu inside the notebook: "Help → JupyterLab Reference".
Logging in
You should have a login with a password; the NLeSC should be able to provide you with one. You can then log in to the notebook interface at https://server.eucp-nlesc.surf-hosted.nl .
Once logged in, you’re inside the Jupyter lab environment: from here, you can start a notebook from the launcher in the right pane, an editor or even a terminal (running in your browser, but fully functional).
The picture below is annotated to indicate some essential parts of the interface, which will be referred to elsewhere in this documentation. See also https://jupyterlab.readthedocs.io/en/stable/user/interface.html for a more detailed overview.
The launcher is your main starting point; click the plus symbol in the file browser toolbar to open it if you don’t see it. From the launcher, you can open an empty notebook, a "console", a terminal (opens in your home directory) or a plain text editor. The console is essentially the classic Python (or Julia, or R) command line interpreter; it is rarely useful.
You can also open files directly by double clicking on their name, or with right click, "open". The program with which it opens will depend on the file type, that is, the extension (the "precipitation-trend.ipynb" would open with a notebook; usually, the metadata inside the file tells Jupyter whether this is a Python, Julia or R notebook).
For people used to the default Jupyter notebook interface, you can reach this in two ways:
-
Pick the "Help" menu, then the "Launch Classic Notebook" item.
-
Change the last bit of the URL,
/lab…
into/tree
.
The latter indicates how to get back from the classic interface to the lab environment: make sure the URL ends with /user/<username>/lab
.
Sessions are saved across logins: if you entered something in a notebook and then log out, it will be there once you log back in. Also, if you close a notebook, you can easily reopen it from the panel on the left (provided the panel is in file browser mode: click the folder icon just below the Jupyter icon in the top left).
To properly log out, don’t simply close the browser tab: select the Hub → Logout menu item in the Lab environment. This will prevent other people (mis)using your Jupyter session.
ssh login
For those who prefer ssh login, this is also possible: use the standard port 22 login to the same server:
ssh<EMAIL_ADDRESS>And of course, you can use ssh keys as well.
For convenience, the screen
and tmux
terminal emulators are installed.
Limited packages are available when using the ssh access; the normal JupyterHub login should be used for that.
Note that several goals for which you may want to use ssh
, can also be achieved using the terminal application in the Jupyter Lab environment, including running long-running programs.
See below for more information on the latter.
Basic usage of a notebook
A Jupyter notebook gives you the ability of executing code in steps, iterating on a single several times. Graphs can also be drawn in the notebook, and the iteration aspect makes it possible to tweak the graph quickly and easily. Even fuller interaction exists for some types of graphs, see other tutorials.
The individual steps in a notebook are called "cells". You type one or more lines of (Python) code into a cell, and executes the cell, by either clicking the "run" triangle at the top of the notebook, or using the "shift-enter" keyboard shortcut.
The currently active cell is highlighted by a (blue) thick line to its left, and surrounded by a (blue) line when it is ready for input. Arrow keys can walk up and down previous and next cells, or select a cell with the pointer.
Note that the notebook has essentially two modes: one where commands (or text) can be inserted, called "edit mode", and a mode where extra commands can be issued, called "command mode". A highlighted cell (and blinking cursor) indicates edit mode, while an active but greyed-out cell indicates command mode. Use enter to get into edit mode, and use escape to get into command mode.
Most commands work both in edit and command mode, such as running a cell using shift-enter. Some keyboard shortcuts, such as "d d" (which deleted the selected cell(s)), only work in command mode. If you are using the mouse and menu items, you’ll find there is not much difference between the two modes. Note that you can select multiple cells and apply commands such as the aforementioned "d d" (menu item: Edit - Delete Cells) command.
Type in some simple code, then see the effect when you run a cell. To save your work, use "File → Save Notebook" or simply control-s / command-s (depending on your OS & browser combination). You may want to rename the notebook from the standard "Untitled.ipynb": right-click on the tab of the relevant notebook and pick the first item: "Rename Notebook…". Or use "File → Save Notebook As…" / shift-control-s / shift-command-s.
Output
The output from each cell is whatever the last line returns.
There is no print function needed, but if you want output from earlier lines in the cell, you will need to use print()
or something similar (such as logging functions).
You can avoid output by assigning to a variable (the underscore variable can be useful here), or appending a semi-colon, ;
, at the end of the last line.
Cell type
Cells can be of another type than code: plain text ("raw") and Markdown are also possible.
Select the cell type from the "Code" menu item at the top of the notebook.
Note that "code" type of cells have an (empty) number holder in front of them [ ]:
.
Markdown is a simple mark-up language, and it is useful if you want to provide a bit more layout (lists, tables, headings, indented text) than you can achieve with raw text.
You’ll need to "run" a Markdown cell to actually render it into HTML.
If you select to edit a Markdown cell, it will automatically revert to Markdown (from HTML) until you rerun it, after which it will show rendered HTML again.
The code type is always that of the chosen kernel. You can change the kernel of a notebook, although this will be of limited use (it was useful for transitioning Python 2 to Python 3 code). There are ways of running, for example, an R code block in a few cells inside a Jupyter Python (3) notebook. For reproducibility and convenience of other users, however, we don’t recommend this.
You can thus switch your cell type between code and Markdown, providing text between your code that is more readable than standard Python comments. This is, for example, widely used for teaching purposes. It is generally used to explain steps in the next cell(s) better than a set of comments. All data (variables, function definitions etc) are saved between cells, not hampering execution.
A nice example of this is the online Python Data Science Handbook by Jake Vanderplas: a few dozen notebooks are listed at https://github.com/jakevdp/PythonDataScienceHandbook/tree/master/notebooks . Conveniently, GitHub can render Jupyter notebooks: when selecting a notebook on GitHub, GitHub will attempt to render it with Markdown-to-HTML formatting and figures (though some larger notebooks will fail to render). Note that figures are saved with the notebook: there is no actual execution of the code in a rendered notebook, just the notebook as last saved by the creator.
Executing and editing an existing notebook
Other than creating your own notebook, you can also grab a notebook from a colleague, and run it yourself. Very similar to running a script, but this time, you can easily stop halfway, edit some lines of code, then execute the rest with your changes.
As an example, you could download one of the aforementioned data science handbook example notebooks.
Pick one you like (e.g., the K-means tutorial, notebook 05.11; it may take a few tries for GitHub to render it)[1].
Select the "Download" or "Raw" option near the top on the GitHub page, which will likely render the raw notebook contents in your web browser (a JSON file).
Save this raw page somewhere on your local machine (preferably keep the extension to be .ipynb
), then in the Jupyter lab on the server, in the file browser (left pane, the folder icon), select "Upload Files" (line with up-arrow above it).
Once the notebook is uploaded, Jupyter Lab will recognise it by its extension as a Jupyter notebook, and either double-clicking or right-click → Open should start a new notebook with all the content already in it, including the graphics.
(There is, as far as a I know, not yet a way to open a remote notebook directly from a Jupyter Lab, by giving it the URL of the file or the URL of the GitHub repository item: you’ll have to download and upload it yourself.)
You can now execute the cells top-down one by one (shift-enter nicely steps through each cell), which will recreate the graphs; and edit cells in the notebook as you see fit. In the main menu, there are various other options under the "Run" item to run a notebook.
Caveats
There are a few caveats to be aware of when using a Jupyter notebook;
- Notebooks are not idempotent
-
In other words, executing a notebook cell over and over again will not always yield the same result. The following example shows:
[4]: a = 5 ----------- [5]: a += 1 ----------- [ ]: a
Depending on how often you execute cell #5, the last cell will show 6, 7, 8 or an even higher number. You could even execute a dozen cells in order, then go back to a cell like #5 here, execute it once, then hop forward all the way to where you were before (skipping all cells in between), and get different results, because you increased
a
's value by 1. It is, therefore, often good before sending a notebook to someone else, or publishing it in some other way, to ensure everything works as expected. The menu item "Run → Restart Kernel and Run All Cells…" is a good option for this. - Insignificant changes in the notebook file hamper version control
-
Each code cell has a counter next to it (the counter serves, among others, as a history item). Since this counter changes every time you execute a cell, and the counter is saved in the notebook file, the actual file on disk changes, even if the code nor output have changed (execution date information may also be saved and will change every time). This is annoying when using versioning software such as git, which will show this as a difference. Again, the menu item "Run → Restart Kernel and Run All Cells…" can help here, resetting all the counters. There are also a few little scripts that clean up the notebook files on disk, that you can run before using git. Be aware that some scripts also strip the output from the notebooks. This may be fine, but when such notebooks are saved on GitHub, they will be rendered with just the input: no output or graphs will be visible.
One tool is nbstripout; you can use it as
nbstripout --keep-output
to keep the output, but remove the counters, before adding and committing this to git or your favourite versioning tool. - Output may get lost
-
When closing and then re-opening a notebook, or when logging out and logging back in again, calculations will still proceed in the background (as long as the server is running). But their output may not be visible anymore: the kernel has lost the connection to the displaying cell. Always assign important output to a variable, so you can retrieve it later. This prevents losing results when e.g. accidentally closing a browser tab.
Terminal interface
The Terminal interface is very much like a normal terminal. You can walk around the file system, execute programs and open up a text editor (even if there is a standard text editor shipped with Jupyter Lab).
You can also compile and run programs directly from the terminal.
For longer running programs, it may be useful to redirect the normal output (stdout
) and errors (stderr
) to a file, and disconnect the program from the terminal, so it will continue to run.
The following is one easy way to do this:
$ ./start-long-running-program >& output.txt &
$ disown %1
ps -ax
will still show the program, but it will not be connected to the Terminal app.
Be aware that in the above example, both standard output and standard error are sent to the same file. To keep them separate, use e.g.
$ ./start-long-running-program > output.txt 2> error.txt &
$ disown %1
Note that these examples use disown
.
The nohup
command is an alternative, used in front of the long running command.
nohup
will automatically redirect output to a file called nohup.out
.
Kernels and server
The Kernel refers to the underlying program executing your commands, such as Python, or perhaps R or Julia. There are a few interesting options under the "Kernel" menu item. Perhaps the most important one is "Interrupt Kernel" ("i i" keyboard shortcut in command mode): if you realise the cell you are currently executing takes too long, this will stop the cell and kernel.
The "Restart Kernel and Clear All Outputs…" is a good way to start a notebook completely from scratch. It will not execute the notebook, but will remove all variable values kept in memory, but only for the current notebook. Or, as mentioned in the Caveats section, use "Run → Restart Kernel and Run All Cells…".
If you want a complete restart, you can restart the server: "Hub → Control Panel", then "Stop My Server", then "Start My Server". This will not clear the notebooks, nor log you out, but it will completely restart the underlying server that takes care of running all the kernels. This is nearly the definition of "Server" here: it is the part that provides the web interface and runs the kernels. It is called your server, since it runs under your account, and restarting it does not hamper other users. There is a more general server that is used by everyone, which is what you see at the login page.
This gives some insight how a Jupyter Hub works and is subdivided: main server → user servers → kernels. This can be useful to keep in mind when something breaks or hangs: you may not need to restart everything.
Extra packages
The notebook environment is set up with most Python packages and utilities available. If, however, you have need a straightforward package that isn’t installed, you can install it locally yourself:
-
Open a Terminal
-
pip install <mypackage> --user
-
Start a new notebook
The --user
option is necessary, since otherwise pip
will attempt to install the package system wide, and you won’t have access to do that.
You will also have to start a new notebook, to let the Python kernel pick up the newly installed package.
You can even avoid opening the Terminal, and use the shell escape with pip from within a notebook cell: !pip install <mypackage> --user
.
You will still have to start a new notebook though.
Conda
If you are familiar with conda, you can use this to install even more packages, including C or Fortran libraries.
Conda can be found at /usr/local/miniconda/bin/conda
, and should be on your $PATH
.
Use the Terminal to create a new environment and install the necessary packages.
For example, in the Terminal
conda create --name myenv --channel conda-forge python=3.7 astropy
in case you want to run some astronomical analysis.
The above also uses the conda-forge channel, which houses a lot of useful (scientific) packages.
Conda creates a new "environment", which is not read by a (new) notebook, unfortunately. Therefore, at the moment, you can only use this for running scripts in the Terminal.
Using a Jupyter notebook on your local machine
If you have gotten the hang of notebooks, and you like them, you may also want to try and use them on your local machine. This can be as simple as
python3 -m pip install jupyter
and then
python3 -m jupyter notebook
(I use the python3 -m <package>
idiom: this guarantees the corresponding package-executable belongs to this Python version, and not, for example, Python 2.
For example, pip
generally refers to Python 2, and pip3
to Python 3, but this is not guaranteed.)
The last command will open a tab in your default browser with a (classic) notebook on your localhost.
If you want a Jupyter Lab environment, install it and run it
python3 -m pip install jupyterlab
python3 -m jupyter lab
Some details can also be found at https://jupyter.readthedocs.io/en/latest/content-quickstart.html
Further reading
Tutorials & introductions
Note about tutorials and introduction: there is a lot of information on the internet, but lots of that is spent instructing the reader how to install Jupyter (Lab or other). With a server already available, you can obviously skip those parts, and dive straight into code examples. If you want to run a Jupyter(Lab) environment on your own machine, the first half of such material may also be of use, but see also the previous section.


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