Reconciliation is identifying multiple representations of the same real-world object. In the Semantic Web field, it is usually known as instance matching and refers to identifying equivalent resources in two RDF datasets.
Google Refine can reconcile values in a specific column to entities in Freebase. Reconciliation to Freebase is a very useful operation as it helps mapping ambiguous textual values to precisely identified Freebase entities.
Upon reconciliation request, Google Refine starts by invoking the Freebase reconciliation service with a sample set of data values. It uses the result to guess a type for the values in the corresponding column.
The list of guessed types are presented to the user who can select a specific type or continue without choosing any. The user can also choose to include additional properties in the request to help enhancing the precision of the reconciliation process. Additional properties need to be clearly identified to the reconciliation service i.e. via IDs understandable by the service. To help the user in that a reconciliation service can support autocomplete for properties search.
Figure below shows a screenshot of the reconciliation interface resulting from reconciling a set of city names against Freebase.
In the Figure we see that a set of types are suggested with City/Town/Village
(with ID /location/citytown
) at the top of the list. The right part of the figure shows property autocompletion in action. Proceeding with reconciliation as shown in the figure means that the set of values will be reconciled against Freebase
for entities of type /location/citytown
taken into account that the city is contained by a location matching the corresponding content of the state column in the data.
After receiving the response, the top three matching candidates for each value are presented to the user. the user can then choose to accept one of them or refuse them all. To better inform the user decision, a resource preview is available per candidate where basic information about the candidate is provided. Additionally, a numeric facet is built based on the scores of results provided by the service, helping the user to find an acceptable threshold for the score and mass accept or reject certain results.
Figure below shows a screenshot where a preview for the candidate labeled "Cambridge" is presented. Results marked as an "exact match" will be automatically accepted by Google Refine without the need of user intervention.


The Virtual File System is an abstraction layer over the file system implementations in the operating system. It handles all system calls related to the file syste and allows for client applications to access different types os file systems in a uniform way. It also provides a common interface to several kinds of file system implementations.
It represents a mounted file system. It contains the device number, the mount flags, the maximum file size on the given partition. It refers to the mounted file system's root vnode and to the vnode on which the file system is mounted on
The filp object represents an open file. It specifies how the file was opened, which vnode it refers to and the current file position. The rest of the fields are used by the implementation of the select system call.
Structure used to manage file locking.Contains a pointer to vnode,lock type- read and write lock, pid of process holding the lock etc.
The fproc object maintains per-process information. It contains working directory's inode number, root directory's inode number, user id, process id, kernel endpoint of the process etc.
All the communication between VFS and caller process and File systems takes place using messages. MINIX messages consist of a general header - which contains the sender process's endpoint number and the message type - and an additional part. The additional part is deined as a union of different structures that were needed for this communication between processes.
VFS spawns worker threads at startup. Main thread fetches requests and replies and hands them off to idle or reply-pending workers.
There are types of system calls in file systems that are handled in different manners by VFS.
1. System calls with path name argument eg. mkdir, acccess, chmod, open, create, mknod, chdir, chroot, unlink, utime
2. System calls with file descriptor argument eg. read, write, lseek
3. System calls without argument eg. fork, exit, sync, fsync
Let's consider system call stat() with an argument /usr/web/index.html. This is help you in understanding VFS and its workflow.
Assume
The user process calls the stat() function of the POSIX library which builds the stat request message and sends it to the VFS process.
(a) The VFS process copies the path name from userspace.
The VFS first issues a lookup for the path name. It determines that the given path is absolute, therefore the root FS process has to be requested to perform
the lookup.
(b) The root FS process copies the path name from the VFS address space.
During the lookup in the root FS process the root directory has to be read in order to find the string "usr". Let us assume that this information is not in the buffer cache. The root FS asks the Driver process to read the corresponding block from the disk.
The driver reads the block and transfers back to the FS process. It reports OK.
(c) The driver copies the disk content into the FS buffer cache.
The root FS process examines the "usr" directories inode data and realizes that there is a partition mounted on this directory. It sends the EENTER MOUNT message to the VFS that also contains the number of characters that were processed during the lookup.
The VFS looks up in the virtual mount table which FS process is responsible for the "/usr" partition. The lookup has to be continued in that FS process ( /usr: Mininx filesystem partition). The VFS sends the lookup request and with the rest of the path name.
d. The "/usr" FS process copies the path name from the VFS address space.
The FS process that handles the "/usr" partition continues the lookup of the path name. It needs additional information from the disk, therefore it asks the driver process to read the given block and transfer it into the FS process buffer cache.
The driver reads the disk and transfers back to the FS process. It reports success.
(e) The driver copies the disk content into the "/usr" FS process buffer cache.
The /usr FS process finishes the lookup and transfers back the inode's details to the VFS.
The VFS has all the necessary information in order to issue the actual REQ STAT request. The FS process is asked to perform the stat() operation.
The FS process fills in the stat buffer. Let us assume that all the information needed for this operation is in the FS process' buffer cache, therefore no
interaction is involved with the Driver process. The FS copies back to the user process' address space. It reports success for the VFS.
(f) The FS process copies the stat buffer to the caller process address space.
The VFS receives the response message from the FS process and sends the return value back to the POSIX library. The function reports success back to the user process.
Further Reference : http://www.minix3.org/theses/gerofi-minix-vfs.pdf


Elon Musk Explains Why Window Broke On The Cybertruck
Do you believe him?
by Jared RosenholtzNo matter if you're a Tesla fan or not, there's no arguing that the reveal event for the all-new Cybertruck could have gone better. Tesla's predicted specs for the truck are undeniably great - a $39,900 starting price, a 500-mile max range, and a 0-60 mph time of under three seconds on the fastest model. During the reveal, Tesla CEO Elon Musk wanted to show off one of the Cybertruck's other unique features - supposedly "bulletproof" windows that the company calls 'Armor Glass.'
Musk invited a Tesla employee on stage to throw a metal ball at the Cybertruck's windows, showing their durability. The metal ball was supposed to bounce right off the window but in a stunning turn of events, it created a huge crack. He then threw the ball at the rear window and just like the front glass, it cracked. Musk was clearly unhappy with the result of the demonstration so the CEO took to Twitter to explain why the window didn't stand up to the ball.
https://twitter.com/elonmusk/status/1198772995021406209
Twitter user Rod Adib said, "I know the real reason behind the window crack. It's ok Elon, But maybe you should've threw (sic) the ball of (sic) the window before you decided to hit the door with a sledgehammer." Musk responded to Adib's comment to confirm this theory saying, "Yup. Sledgehammer impact on door cracked base of glass, which is why steel ball didn't bounce off. Should have done steel ball on window, *then* sledgehammer the door. Next time …"
This seems like a reasonable explanation for why the ball didn't bounce off the window but there's just one issue - why didn't it bounce off the rear window? Before throwing the ball, Tesla demonstrated the toughness of the stainless steel door by hitting it with a sledgehammer, which supposedly broke the base of the front window. But the rear door wasn't hit with a hammer, so why did the window crack?
https://twitter.com/elonmusk/status/1198751258384818176
In another demonstration of the Cybertruck's abilities, Musk posted a tug-of-war test versus a Ford F-150. Tesla says the Cybertruck can tow up to 14,000 pounds, which is about 600 pounds more than the F-150. Tesla's video shows the Cybertruck pulling the F-150 up a hill in a tug-of-war but like the metal ball demonstration, there is a problem here.
The video clearly shows the Tesla moving first, meaning the Ford is immediately at a disadvantage for traction. And as the Cybertruck starts pulling the F-150, only the rear wheels spin, so clearly 4WD mode was not active for the test. As with the metal ball best, the tug-of-war video shows the Cybertruck may not be ready for prime time just yet.


₹ 2,499.00
Up to 30H Total Playback
Read More
₹ 1,099.00
in-Ear True Wireless
₹ 3,499.00
Smart speaker with Alexa
₹ 2,899.00
1080p Full HD
₹ 897.00
Built in FM, Call Function
₹ 1,399.00
Up to 8H Playtime


version 3.2 changes¶
0. Map popup changes¶
clean up code for npstere and spstere sensitivity
rotated option doesn’t make it into the plotting code
rotated option to be insensitive when data is not in rotated coordinates
map resolution drop added to map options
Changed
1. Colour bar extensions don’t work¶
No code for colour bar extensions - levs_extend_min and levs_extend_max were missing.
Code added
2. Code to remove auxiliary coordinates removed¶
Change code to remove extra auxiliary coodinates as this is no longer needed - remove_aux=False
Done
3. Colour scale code changes¶
The colour scale code was changed:
change to viridis - colour scale doesn’t change
output code is cscale=’inferno’ rather than scale=’inferno’
Done
4. contour levels - bug with nlevs definition as a boolean¶
There was a bug in the contour levels code with nlevs definition as a boolean
Fixed
5. Maps - user configuration and saving¶
Maps - user configuration and saving options added to map popup.
Done
6. Contour levels - user configuration and saving¶
Contour levels - user configuration and saving options added to map popup.
Done
7. Colour scale - user configuration and saving¶
Colour scale - user configuration and saving options added to map popup.
Done
8. New sections for user settings to be scrollable¶
New sections for user settings to be scrollable.
Done
9. New sections for user settings to be visible after clicking a checkbox¶
New sections for user settings to be visible after clicking a checkbox.
Done
10. Defaults file code rewrite¶
Defaults file code rewrite to use dictionaries for user defined map, contour level and colour scale options.
Done
11. Issues with cf-python 3.14.0 investigated¶
Issues with cf-python 3.14.0 were investigated. These mostly seemed related to the version of netCDF4 with 1.6.1 causing issues. With a fresh install a few weeks later the issues had gone away so it is assumed that this was fixed somewhere in conda.
Investigated
13. New property popup window to properties popup needs recoding¶
The new property popup window to properties popup needed recoding.
Done
14. Doc strings for all routines¶
Doc strings were added for all routines.
Done
15. Make a plot code - rework map settings¶
Rework code for making a plot: map settings Use dictionaries for working out settings and code generation.
Done
16. Make a plot code - rework colour settings¶
Rework code for making a plot: map settings Use dictionaries for working out settings and code generation.
Done
17. Make a plot code - rework contour level settings¶
Rework code for making a plot: map settings Use dictionaries for working out settings and code generation.
Done
18. netCDF file with no fields but doesn’t produce a sensible error¶
A netCDF file with no fields but doesn’t produce a sensible error.
Corrected
19. Update cfview interpolation code¶
Update interpolation to use a sequence of Coordinate instances. This changed in cf-python at version 3.14.1.
g = f.regrids({‘longitude’: lons, ‘latitude’: lats}, method=method)
becomes
g = f.regrids([lats, lons], method=method)
Done
20. Changes to cope better with dodgy data¶
Changes to various parts of cfview were made to cope better with some dodgy data found in cn134a.pl1m_195006-195006.nc
cannot read - cf-python issue with a dodgy 7th field - no data
cf-view now has an issue with this data
find_dim_names - have five domain axes and four coordinates
change loop to check for coordinate type to go over coords rather than daxes
field 5 fails as the data is dodgy - subspace fails in plot routine - add an exception test
Done
21. Remove references to plotvars.stored collapses and plotvars.stored dimensions¶
Remove references to plotvars.stored collapses and plotvars.stored dimensions. These are now plotvars.stored[‘f0’][‘collapses’] and plotvars.stored[‘f0’][‘axes’]
Done
22. Field search code update¶
Field search code update. A new field gets lost internally and doesn’t display as expected.
Done
23. Stray print removal¶
A stray print statement was removed.
Done
24. Stray print removal - and again¶
A stray print statement was removed.
Done


The window.lib.getPersons() function is available in the script. It must receive a callback as a parameter. After a short delay, the callback will be executed with two parameters: the first contains an error (if there is one, otherwise null ), the second an array of people.
When clicking on the button, call the getPersons function and display the result obtained in the console. Warning: the getPersons function has plus or minus one in two chance of generating an error. If that is the case, uses console.error () to display it.


When: March 21 from 8:00am - 9:30am
Where: Mayfield Heights City Hall, 6154 Mayfield Road Mayfield Heights, oHIO 44124 map this
First meeting of the year of the Euclid Creek Watershed Council to approve a work plan for the year and to elect the 2019 Chair and Vice Chair of the Council.
Space limited, please RSVP.


X-Man
The X-Men is an American superhero film series based on the fictional superhero team of the same name, who originally appeared in a series of comic books created by Stan Lee and irby and published by Marvel Comics. 20th Century Fox obtained the film rights to the characters in 1994, and after numerous drafts, Bryan Singer was hired to direct X-Men (2000) and its sequel, X2 (2003), while Brett Ratner directed X-Men: The Las Stand (2006). After each film earned higher box office grosses than its predecessor, several spin-off films were released, X-Men Origins: Wolverine (2009), X-Men: First Class (2011) and The Wolverine (2013). X-Men: Days of Future Past, a sequel to both X-Men: The Last Stand and X-Men: First Class, was released in 2014. More spin-offs followed in 2016 and 2017 with the releases of Deadpool, X-Men: Apocalypse and Logan. X-Men, X2, X-Men: First Class, X-Men: Days of Future Past and the spin-offs The Wolverine, Deadpool, and Logan were all met with positive reviews. X-Men and X2 were particularly lauded by critics for their dark, realistic tones and subtexts dealing with discrimination and intolerance. X-Men: The Last Stand and X-Men: Apocalypse were met with mixed reviews, while X-Men Origins: Wolverine opened to negative reviews from critics. With ten films released, the X-Men film series is the seventh-highest-grossing film franchise, having grossed over US$4.3 billion worldwide.
Rumen Nikodimov


Account#
Pokemon
111
Cang
Name
Type:
Pokemon Type
HP:
45
Attack:
45
Defense:
45
Speed:
45
Advantages:
Fire-types
Weaknesses:
Grass-Types
Draft
Pixel Wallpaper Background
Pokemon Font


Meal that brings happiness on the dinner table
Pizzaro is a restraurant known for delicious pizza that makes you lick your fingers and order for more.
We also offers other meals prepared with skill that will make you look for your grandmother's recipe.
It is a restraurant where you can spend time with your family and friends and also celebrate
Cheeseburger pizza
Margherita pizza
Chicken hawaiian
Chicken Taco Pizza


{%set description = 'FAQ about Karl N. Redman. Software Engineer and Systems Engineer. Provides information regarding work history, and other personal aspects pertaining to career.'%}
{%set keywords = "Resume,Software Engineer,Systems Engineer,Programmer,Developer,Administrator,linux,Karl N. Redman, C/C++, bash, python, Release Engineer, Javascript, Linux, HPC, High Performance Computing, Full Stack, Full Stack Devloper"%}
{% extends "base.html" %}
{% block content %}
Karl N. Redman
About this website:
This is a reactive static website generated from inline content using Flask and Frozen-Flask. Sources for this simple project can be found here.
All rights reserved by Karl N. Redman © {{ copyright_date }}


NotificationTopic.CreateTopic(object)
class documentationNotificationTopic
(View In Hierarchy)
Known subclasses: NotificationHandler.NotifierMqtt
Wrapper class for creating Notification Topic.
| Method | CreateIFDTopic | This method creates the IFD topic. |
| Method | CreateIFLTopic | This method creates IFL topic. |
| Method | CreateIFFTopic | This method creates IFF topic. |
| Method | CreateIFATopic | This method creates IFA topic. |
| Method | CreateFirewallTopic | This method creates firewall topic. |
| Method | CreateRouteTopic | This method creates route topic. |
| Method | CreateRouteTableTopic | This method creates route table topic. |
| Method | CreateGenericTopic | This method creates a generic topic to subscribe all events. |
This method creates the IFD topic.
| Parameters | op | operation(ADD, DELETE, CHANGE, ALL), Default is ALL. |
| ifd_name | ifd name to subscribe, Default is all ifds. | |
| Returns | Returns the IFD topic object |
This method creates IFL topic.
| Parameters | op | operation(ADD, DELETE, CHANGE, ALL), Default is ALL. |
| ifd_name | ifd name to subscribe, Default is all ifds. | |
| sub_unit | sub_unit is mandatory when interface name is passed. | |
| Returns | Returns the IFL topic object |
This method creates IFF topic.
| Parameters | op | operation(ADD, DELETE, CHANGE, ALL), Default is ALL. |
| ifd_name | ifd name to subscribe, Default is all ifds. | |
| sub_unit | sub_unit is mandatory when interface name is passed. | |
| family_type | Default is all family_types. | |
| Returns | Returns the IFF topic object |
This method creates IFA topic.
| Parameters | op | operation(ADD, DELETE, CHANGE, ALL), Default is ALL. |
| ifd_name | ifd name to subscribe, Default is all ifds. | |
| sub_unit | sub_unit is mandatory when interface name is passed. | |
| family_type | Default is all family_types. | |
| address | Default is all address. | |
| Returns | Returns the IFA topic object |
This method creates firewall topic.
| Parameters | op | operation(ADD, DELETE, CHANGE, ALL), Default is ALL. |
| filter_name | filter name to subscribe, Default is all filters. | |
| Returns | Returns the firewall topic object |
This method creates route topic.
| Parameters | op | operation(ADD, DELETE, CHANGE, ALL), Default is ALL. |
| family | family to subscribe, Default is all family. | |
| address | address to subscribe, Default is all addresses. | |
| prefix_length | Default is all prefix lengths | |
| Returns | Returns the route topic object |
This method creates route table topic.
| Parameters | op | operation(ADD, DELETE, CHANGE, ALL), Default is ALL. |
| table_name | table name to subscribe. Default is all tables | |
| lr_name | LR name to subscribe, Default is all | |
| Returns | Returns the route table topic object |


Registering for GST is mandatory for some businesses while optional for others.
If you're registered for GST, you're entitled to claim input tax credits for the GST paid on items you've bought for business use. If you're not registered, you can't claim input tax credits.
You must register for GST if you run a business or enterprise and your GST turnover is $75,000 or more ($150,000 or more for non-profit organisations). GST turnover is your business's gross income, not your business's profit.
It is your responsibility to register if your turnover exceeds the relevant threshold or is likely to exceed it. If you are not registered for GST, check each month to see whether you have reached your threshold. You must register within 21 days of reaching the threshold.
You must also register for GST, regardless of turnover, if you:
If your GST turnover is below the threshold, registering for GST is optional. However, if you choose to register, you generally must stay registered for at least 12 months.
If registering is optional for your business and you choose not to register, then you won't include a GST component in your prices. This means that any invoices you provide will need to show that GST was not included in the purchase price. You also can't claim GST credits for your business purchases.
Other considerations include:
If your business has an annual turnover of less than $2 million, you may be able to access the following GST concessions.
You can account for GST in the same tax period you receive payments from your customers and claim input tax credits for making payments to your suppliers.
You can pay GST by instalments each quarter based on what you or the Australian Tax Office (ATO) estimates your GST liability to be. You can vary this amount each quarter.
You can claim a full input tax credit for a business purchase that you intend to use partly for private purposes and make a single adjustment to account for the private use percentage at the end of your income year.
'Taxi travel' means transporting passengers by taxi or limousine for fares. The requirement to register if you provide taxi travel applies to both owner drivers and people who lease a taxi on a daily or other basis.
GST obligations if you provide taxi travel:
If your business doesn't fit into one of the above categories, you don't have to register for GST.
GST credits are a potential amount of money your business might be able to claim from the ATO. If you are registered for GST, you can claim back the GST that has been included in the purchase price of something you've bought for your business.


simple_geolocator
A simple Geolocating Ruby Gem utilizing IP-API.com.
Installation
RubyGems
gem install simple_geolocator
Bundler
Add this line to application's Gemfile:
gem('simple_geolocator')
And then execute:
$ bundle
Usage
You can use it in your code as described in the documentation. Or, if you wanna have some real fun, you can use the fancy command line interface added in version 1.3.0!
$ simplegeo <ip>
It uses the wonderful Rainbow Gem to color the text, along with the StringUtility Gem to create spectacular colors. Here is an example output, without colors :cry: :
$ simplegeo <IP_ADDRESS>
Here is the data for <IP_ADDRESS>:
ISP: Beijing CheeryZone Scitech Co.,Ltd
Organization: Beijing CheeryZone Scitech Co.,Ltd
Timezone: Asia/Shanghai
Location: Beijing, Beijing Shi, China, 0
Exact location: 39.9289, 116.3883
Also note that this IP is not some significant person as far as I know; I literally just typed in random numbers when writing this README.
Documentation
Please see the RubyDocs.


Leave by the end of this month.
Pay or leave.
Salik's research article titled "China Pakistan Economic Corridor and Pakistan’s energy security: A meta-analytic review".
| Population in 1980 | Population in 1990 | Population in 2000 | Population in 2010 | Population in 2020 |
|---|---|---|---|---|
| 100,000 | 200,000 | 400,000 | 1,000,000 | 6,000,000 |
Walk on, walk on with your head up high, and don't be afraid of the dark, at the end of the storm is a golden sky, and a sweet silver song of a lark.
LFC anthem
HTML crash course student: Salik uddin Ahmed


No problem. We’ll get in touch with you to take you through our easy exchange process. Our team will be happy to help you choose another piece
Earrings ● Size 9.5
9
197, 6th Main, 1st Cross
Matrix Partners India, Indiranagar
Bengaluru - Karnataka 560075
₹245
Cash on Delivery
Thanking you on behalf of Team Melorra,
Call us on +91-8880050505 ● Mail us at<EMAIL_ADDRESS>Melorra is a registered trademark of August Jewellery Private Limited
Bengaluru, Karnataka - India


The 'seplyr' (standard evaluation plying) package supplies improved standard evaluation adapter methods for important common 'dplyr' data manipulation tasks. In addition the 'seplyr' package supplies several new "key operations bound together" methods. These include 'group_summarize()' (which combines grouping, arranging and calculation in an atomic unit), 'add_group_summaries()' (which joins grouped summaries into a 'data.frame' in a well documented manner), 'add_group_indices()' (which adds per-group identifiers to a 'data.frame' without depending on row-order), 'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()' (which simulates per-row if-else blocks in expression sequences).
| Version: | 0.8.2 |
| Depends: | R (≥ 3.4.0), wrapr (≥ 1.6.2) |
| Imports: | dplyr (≥ 0.7.0), rlang (≥ 0.2.0), tidyr |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2018-09-25 |
| Author: | John Mount [aut, cre], Win-Vector LLC [cph] |
| Maintainer: | John Mount <jmount at win-vector.com> |
| BugReports: | https://github.com/WinVector/seplyr/issues |
| License: | GPL-3 |
| URL: | https://github.com/WinVector/seplyr/, https://winvector.github.io/seplyr/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | seplyr results |
| Reference manual: | seplyr.pdf |
| Vignettes: |
Mutate Partitioner Named Map Builder rename_se seplyr Using seplyr |
| Package source: | seplyr_0.8.2.tar.gz |
| Windows binaries: | r-devel: seplyr_0.8.2.zip, r-release: seplyr_0.8.2.zip, r-oldrel: seplyr_0.8.2.zip |
| OS X binaries: | r-release: seplyr_0.8.2.tgz, r-oldrel: seplyr_0.8.2.tgz |
| Old sources: | seplyr archive |
Please use the canonical form https://CRAN.R-project.org/package=seplyr to link to this page.


ZooKeeper
ZooKeeper: A Distributed Coordination Service for Distributed Applications
ZooKeeper is a distributed, open-source coordination service for distributed applications. It exposes a simple set of primitives that distributed applications can build upon to implement higher level services for synchronization, configuration maintenance, and groups and naming. It is designed to be easy to program to, and uses a data model styled after the familiar directory tree structure of file systems. It runs in Java and has bindings for both Java and C.
Coordination services are notoriously hard to get right. They are especially prone to errors such as race conditions and deadlock. The motivation behind ZooKeeper is to relieve distributed applications the responsibility of implementing coordination services from scratch.
Design Goals
ZooKeeper is simple. ZooKeeper allows distributed processes to coordinate with each other through a shared hierarchal namespace which is organized similarly to a standard file system. The name space consists of data registers - called znodes, in ZooKeeper parlance - and these are similar to files and directories. Unlike a typical file system, which is designed for storage, ZooKeeper data is kept in-memory, which means ZooKeeper can acheive high throughput and low latency numbers.
The ZooKeeper implementation puts a premium on high performance, highly available, strictly ordered access. The performance aspects of ZooKeeper means it can be used in large, distributed systems. The reliability aspects keep it from being a single point of failure. The strict ordering means that sophisticated synchronization primitives can be implemented at the client.
ZooKeeper is replicated. Like the distributed processes it coordinates, ZooKeeper itself is intended to be replicated over a sets of hosts called an ensemble.
| ZooKeeper Service |
The servers that make up the ZooKeeper service must all know about each other. They maintain an in-memory image of state, along with a transaction logs and snapshots in a persistent store. As long as a majority of the servers are available, the ZooKeeper service will be available.
Clients connect to a single ZooKeeper server. The client maintains a TCP connection through which it sends requests, gets responses, gets watch events, and sends heart beats. If the TCP connection to the server breaks, the client will connect to a different server.
ZooKeeper is ordered. ZooKeeper stamps each update with a number that reflects the order of all ZooKeeper transactions. Subsequent operations can use the order to implement higher-level abstractions, such as synchronization primitives.
ZooKeeper is fast. It is especially fast in "read-dominant" workloads. ZooKeeper applications run on thousands of machines, and it performs best where reads are more common than writes, at ratios of around 10:1.
Data model and the hierarchical namespace
The name space provided by ZooKeeper is much like that of a standard file system. A name is a sequence of path elements separated by a slash (/). Every node in ZooKeeper's name space is identified by a path.
| ZooKeeper's Hierarchical Namespace |
Nodes and ephemeral nodes
Unlike is standard file systems, each node in a ZooKeeper namespace can have data associated with it as well as children. It is like having a file-system that allows a file to also be a directory. (ZooKeeper was designed to store coordination data: status information, configuration, location information, etc., so the data stored at each node is usually small, in the byte to kilobyte range.) We use the term znode to make it clear that we are talking about ZooKeeper data nodes.
Znodes maintain a stat structure that includes version numbers for data changes, ACL changes, and timestamps, to allow cache validations and coordinated updates. Each time a znode's data changes, the version number increases. For instance, whenever a client retrieves data it also receives the version of the data.
The data stored at each znode in a namespace is read and written atomically. Reads get all the data bytes associated with a znode and a write replaces all the data. Each node has an Access Control List (ACL) that restricts who can do what.
ZooKeeper also has the notion of ephemeral nodes. These znodes exists as long as the session that created the znode is active. When the session ends the znode is deleted. Ephemeral nodes are useful when you want to implement [tbd].
Conditional updates and watches
ZooKeeper supports the concept of watches. Clients can set a watch on a znodes. A watch will be triggered and removed when the znode changes. When a watch is triggered the client receives a packet saying that the znode has changed. And if the connection between the client and one of the Zoo Keeper servers is broken, the client will receive a local notification. These can be used to [tbd].
Guarantees
ZooKeeper is very fast and very simple. Since its goal, though, is to be a basis for the construction of more complicated services, such as synchronization, it provides a set of guarantees. These are:
-
Sequential Consistency - Updates from a client will be applied in the order that they were sent.
-
Atomicity - Updates either succeed or fail. No partial results.
-
Single System Image - A client will see the same view of the service regardless of the server that it connects to.
-
Reliability - Once an update has been applied, it will persist from that time forward until a client overwrites the update.
-
Timeliness - The clients view of the system is guaranteed to be up-to-date within a certain time bound.
For more information on these, and how they can be used, see [tbd]
Simple API
One of the design goals of ZooKeeper is provide a very simple programming interface. As a result, it supports only these operations:
-
create -
creates a node at a location in the tree
-
delete -
deletes a node
-
exists -
tests if a node exists at a location
-
get data -
reads the data from a node
-
set data -
writes data to a node
-
get children -
retrieves a list of children of a node
-
sync -
waits for data to be propagated
For a more in-depth discussion on these, and how they can be used to implement higher level operations, please refer to [tbd]
Implementation
ZooKeeper Components shows the high-level components of the ZooKeeper service. With the exception of the request processor, each of the servers that make up the ZooKeeper service replicates its own copy of each of components.
| ZooKeeper Components |
The replicated database is an in-memory database containing the entire data tree. Updates are logged to disk for recoverability, and writes are serialized to disk before they are applied to the in-memory database.
Every ZooKeeper server services clients. Clients connect to exactly one server to submit irequests. Read requests are serviced from the local replica of each server database. Requests that change the state of the service, write requests, are processed by an agreement protocol.
As part of the agreement protocol all write requests from clients are forwarded to a single server, called the leader. The rest of the ZooKeeper servers, called followers, receive message proposals from the leader and agree upon message delivery. The messaging layer takes care of replacing leaders on failures and syncing followers with leaders.
ZooKeeper uses a custom atomic messaging protocol. Since the messaging layer is atomic, ZooKeeper can guarantee that the local replicas never diverge. When the leader receives a write request, it calculates what the state of the system is when the write is to be applied and transforms this into a transaction that captures this new state.
Uses
The programming interface to ZooKeeper is deliberately simple. With it, however, you can implement higher order operations, such as synchronizations primitives, group membership, ownership, etc. Some distributed applications have used it to: [tbd: add uses from white paper and video presentation.] For more information, see [tbd]
Performance
ZooKeeper is designed to be highly performant. But is it? The results of the ZooKeeper's development team at Yahoo! Research indicate that it is. (See ZooKeeper Throughput as the Read-Write Ratio Varies.) It is especially high performance in applications where reads outnumber writes, since writes involve synchronizing the state of all servers. (Reads outnumbering writes is typically the case for a coordination service.)
| ZooKeeper Throughput as the Read-Write Ratio Varies |
The figure ZooKeeper Throughput as the Read-Write Ratio Varies is a throughput graph of ZooKeeper release 3.2 running on servers with dual 2Ghz Xeon and two SATA 15K RPM drives. One drive was used as a dedicated ZooKeeper log device. The snapshots were written to the OS drive. Write requests were 1K writes and the reads were 1K reads. "Servers" indicate the size of the ZooKeeper ensemble, the number of servers that make up the service. Approximately 30 other servers were used to simulate the clients. The ZooKeeper ensemble was configured such that leaders do not allow connections from clients.
In version 3.2 r/w performance improved by ~2x compared to the previous 3.1 release.
Benchmarks also indicate that it is reliable, too. Reliability in the Presence of Errors shows how a deployment responds to various failures. The events marked in the figure are the following:
-
Failure and recovery of a follower
-
Failure and recovery of a different follower
-
Failure of the leader
-
Failure and recovery of two followers
-
Failure of another leader
Reliability
To show the behavior of the system over time as failures are injected we ran a ZooKeeper service made up of 7 machines. We ran the same saturation benchmark as before, but this time we kept the write percentage at a constant 30%, which is a conservative ratio of our expected workloads.
| Reliability in the Presence of Errors |
The are a few important observations from this graph. First, if followers fail and recover quickly, then ZooKeeper is able to sustain a high throughput despite the failure. But maybe more importantly, the leader election algorithm allows for the system to recover fast enough to prevent throughput from dropping substantially. In our observations, ZooKeeper takes less than 200ms to elect a new leader. Third, as followers recover, ZooKeeper is able to raise throughput again once they start processing requests.
The ZooKeeper Project
ZooKeeper has been successfully used in many industrial applications. It is used at Yahoo! as the coordination and failure recovery service for Yahoo! Message Broker, which is a highly scalable publish-subscribe system managing thousands of topics for replication and data delivery. It is used by the Fetching Service for Yahoo! crawler, where it also manages failure recovery. A number of Yahoo! advertising systems also use ZooKeeper to implement reliable services.
All users and developers are encouraged to join the community and contribute their expertise. See the Zookeeper Project on Apache for more information.


${post.datePublished | dateFormat}
${post.datePublished}
Are you sure you want to remove this post?
Cancel Remove
Cancel Create


13.2. GeoMesa FileSystem CommandLine Tools¶
13.2.1. Building from Source¶
To build from source make sure you have Maven, Git, and Java SDK 1.8 installed. To build just the GeoMesa FileSystem distribution do this:
git clone git@github.com:locationtech/geomesa.git
cd geomesa
build/mvn clean install -pl geomesa-fs/geomesa-fs-dist -am -T4
The tarball can also be downloaded from geomesa.org.
13.2.2. Installation¶
To install the command line tools simply untar the distribution tarball:
# If building from source
tar xvf geomesa-fs/geomesa-fs-dist/target/geomesa-fs_2.11-$VERSION-dist.tar.gz
export GEOMESA_FS_HOME=/path/to/geomesa-fs_2.11-$VERSION
After untaring the archive you’ll need to either define the standard Hadoop environmental variables or install hadoop
using the bin/install-hadoop.sh
script provided in the tarball. Note that you will need the proper Yarn/Hadoop
environment configured if you would like to run a distributed ingest job to create files.
If you are using a service such as Amazon Elastic MapReduce (EMR) or have a distribution of Apache Hadoop, Cloudera, or Hortonworks installed you can likely run something like this to configure hadoop for the tools:
# These will be specific to your Hadoop environment
. /etc/hadoop/conf/hadoop-env.sh
. /etc/hadoop/conf/yarn-env.sh
export HADOOP_CONF_DIR=/etc/hadoop/conf
After installing the tarball you should be able to run the geomesa-fs
command like this:
$ cd $GEOMESA_FS_HOME
$ bin/geomesa-fs
The output should look like this:
INFO Usage: geomesa-fs [command] [command options]
Commands:
...
13.2.3. Command Overview¶
<IP_ADDRESS>. configure¶
Used to configure the current environment for using the commandline tools. This is frequently run after the tools are first installed to ensure the environment is configured correctly:
$ geomesa-fs configure
<IP_ADDRESS>. ingest¶
Ingests files into a GeoMesa FS Datastore. Note that a “datastore” is simply a path in the filesystem. All data and metadata will be stored in the filesystem under the hierarchy of the root path. Before ingesting data you will need to define a SimpleFeatureType schema and a GeoMesa converter for your data. Many default type schemas and converters for formats such as gdelt, twitter, etc. are provided in the conf directory of GeoMesa.
If you are not using one of these data types you can provide a file containing your schema and converter or configure the GeoMesa tools to reference the schema configuration by name (see Partition Schemes). Schemas files can also be stored in a remote filesystem such as HDFS, S3, GCS, or WASB.
Commonly used arguments for ingest are:
-p
- Root path for storage (e.g. s3a://bucket/datastores/myds)-e
- Encoding to use for file storage (e.g. parquet)--partition-scheme
- Common partition scheme name (e.g. daily, z2) or path to a file containing a scheme config--temp-dir
- A temp dir in HDFS to use when doing S3 ingest (can speed up writes for parquet)--num-reducers
- The number of reducers to use when performing distributed ingest (try to set to num-partitions / 2)-C
- Path to a converter or named convert available in the environment-s
- Path to a SimpleFeatureType config or named type available in the environment
For example lets say we have all our data for 2016 stored in an S3 bucket:
geomesa-fs ingest \
-p 's3a://mybucket/datastores/test' \
-e parquet \
--partition-scheme daily,z2-2bits \
-s s3a://mybucket/schemas/my-config.conf \
-C s3a://mybucket/schemas/my-config.conf \
--temp-dir hdfs://namenode:port/tmp/gm/1 \
--num-reducers 20 \
's3a://mybucket/data/2016/*'
After ingest we expect to see a file structure with metadata and parquet files in S3 for our type named “myfeature”:
aws s3 ls --recursive s3://mybucket/datastores/test
datastores/test/myfeature/schema.sft
datastores/test/myfeature/metadata
datastores/test/myfeature/2016/01/01/0/0000.parquet
datastores/test/myfeature/2016/01/01/2/0000.parquet
datastores/test/myfeature/2016/01/01/3/0000.parquet
datastores/test/myfeature/2016/01/02/0/0000.parquet
datastores/test/myfeature/2016/01/02/1/0000.parquet
datastores/test/myfeature/2016/01/02/3/0000.parquet
Two metadata files (schema.sft
and metadata
) store information about the schema, partition scheme, and list of
files that have been created. Note that the list of created files allows the datastore to quickly compute available
files to avoid possibly expensive directly listings against the filesystem. You may need to run update-metadata if you
decide to insert new files.
Notice that the bucket “directory structure” includes year, month, day and then a 0,1,2,3 representing a quadrant of the Z2 Space Filling Curve with 2bit resolution (i.e. 0 = lower left, 1 = lower right, 2 = upper left, 3 = upper right). Note that in our example January 1st and 2nd both do not have all four quadrants represented. This means that the input dataset for that day didn’t have any data in that region of the world. If additional data were ingested, the directory and a corresponding file would be created.
<IP_ADDRESS>. update-metadata¶
Recompute the list of partitions stored within the metadata file in a filesystem datastore. This metadata file is used at query time in lieu of performing repeated directory listings.
<IP_ADDRESS>. export¶
Export GeoMesa features. Commonly used arguments to control export are:
-a
- A comma-separated list of attributes and/or filter functions to export (e.g. geom,dtg,user_name)-q`
- a GeoTools CQL query to select rows of data from the datastore-F
- an output format (e.g. csv, tsv, avro)--query-threads
- The number of threads to read files from the datastore-m
- Maxiumum number of features to export
Example export commands:
$ geomesa-fs export \
-p 's3a://mybucket/datastores/myds' \
-e parquet \
-f test_feature
$ geomesa-fs \
-p 's3a://mybucket/datastores/myds' \
-e parquet \
-f test_feature \
-F TSV \
-q "dtg >= '2016-01-02' and dtg < '2016-01-10' and bbox(geom, -5, -5, 50, 50)"
<IP_ADDRESS>. version¶
Prints out the version, git branch, and commit ID that the tools were built with:
$ geomesa-fs version


Jamie is a psychology PhD student based at the University of Sussex.
Creating new plugins is the way to add new kinds of tasks to jsPsych. A task can be virtually any kind of activity. If it can be implemented in JavaScript, then it almost certainly can be turned into a plugin.
Plugin files follow a specific template. Adherence to the template is what allows jsPsych to run a plugin without knowing anything about what the plugin is doing. What makes plugins so flexible is that the template imposes very few requirements on the code. Here’s what an empty plugin template looks like:
jsPsych.plugins['plugin-name'] = (function(){
var plugin = {};
plugin.info = {
name: 'plugin-name',
parameters: {
}
}
plugin.trial = function(display_element, trial){
jsPsych.finishTrial();
}
return plugin;
})();
This plugin will work! It defines a plugin called ‘plugin-name’, and it does absolutely nothing. However, it won’t break the experiment, and jsPsych will understand that this is a valid plugin.
Let’s examine it in more detail.
The overall structure of the plugin is defined using a module JavaScript design pattern. This pattern uses a technique called an anonymous closure. This is why the first line has (function(){
and the last line is })();
. The details aren’t important, but if you want to learn more about it, this is a nice overview. The reason this pattern is useful is because it allows for persistent state and private scope. In other words, the plugin is isolated and can’t be altered by other plugins.
The module, created by the (function(){
})();
expressions, contains an object called plugin
that has two properties, info
and trial
. The plugin
object is returned at the end of the module, which is what assigns the defined properties of plugin
to jsPsych['plugin-name']
.
The trial
method is responsible for running a single trial. There are two parameters that are passed into the trial method. The first, display_element
, is the DOM element where jsPsych content is being rendered. This parameter will be an HTMLElement
. Generally, you don’t need to worry about this parameter being in the correct format, and can assume that it is an HMTLElement
and use methods of that class. The second, trial
, is an object containing all of the parameters specified in the corresponding TimelineNode.
The only requirement for the trial
method is that it calls jsPsych.finishTrial()
when it is done. This is how jsPsych knows to advance to the next trial in the experiment (or end the experiment if it is the last trial). The plugin can do whatever it needs to do before that point.
Of course, there are other things that you will probably want the plugin to do besides just end. Here are some examples:
There are a few ways to change the content of the display. The display_element
parameter of the trial method contains the DOM element for displaying content, so you can use various JavaScript methods for interaction with the display element. A common one is to change the innerHTML
.
var html_content = '
This is the first paragraph
';
html_content += '
This is the second paragraph
';
display_element.innerHTML = html_content;
It is often appropriate to use innerHTML
to clear the display at the end of a trial:
// clear the display
display_element.innerHTML = '';
Plugins exist to collect data, so saving data is obviously a crucial thing to do. You can pass an object of data as the parameter to jsPsych.finishTrial()
:
var data = {
correct: true,
rt: 350
}
jsPsych.finishTrial(data)
The data recorded will be that correct
is true
and that rt
is 350
. Additional data for the trial will also be collected automatically by the jsPsych library.
An empty plugin template is included in the plugins/template
folder.


Shed Seven celebrate Rick Witter's birthday at Rock City
His band present Rick with a birthday cake
by Phil VilesIt’s Rick Witter’s birthday, but it’s hard to tell if he’s in a good or a bad mood from the early exchanges with the crowd. After rousing opener Room in my House wets the whistles of the sold out, predominantly male audience, first Rick has a pop at someone for holding up a sign and then lambasts someone else for asking for an autograph during the set.
Is it banter? Is Rick ok with being 47? The crowd’s chants of Happy Birthday don’t land well either, and the band make ‘slitting throat’ gestures in a bid to stop the chants.
Despite this, he sounds great. In this two-hour set there’s a real mixture of old and relatively new, and the songs are bolstered by an organ and a brass section. Then, prior to the first chord of On Standby, his band present Rick with a birthday cake and thankfully there are wide smiles.
It’s a ‘phew’ moment, Rick’s OK, he’s embraced it. Play ball. And indeed, they do, and play it well. Formed in 1990, there’s no signs of fatigue or gigging for gigs’ sake. They love it.
They have an arsenal of songs to choose from, and it’s a pleasure to hear first album songs Mark, Dolphin and Ocean Pie.
But without doubt, it’s the songs from their scintillating sophomore record, A Maximum High, that are met with the most gusto, not least the anthemic Going for Gold, which sees the brass section trio don sparkling gold jackets.
Elsewhere, Disco Down is a pulsing, throbbing dance floor filler. Rock City is bouncing.
 It is sublime.
Rick, it turned out, was OK with being 47, and this birthday bash is some party.


DAY FOR NIGHT A film review by Steve Rhodes Copyright 1997 Steve Rhodes
RATING (0 TO ****): *** 1/2
DAY FOR NIGHT is a marvelous celebration of the art and toil of filmmaking. For those interested in the mechanics and the background of the creation of movies this picture should be on your must-see list. DAY FOR NIGHT won the Oscar for best foreign film in 1973 and received nominations for best director and screenwriter for Francois Truffaut and best supporting actress for Valentina Cortese. With an excellent print, the film is showing now in Manhattan. Hopefully, the print will make its way around the country so others can share the joy I had in seeing it. (The film is undoubtedly available on videotape of course.)
Nervous director Ferrand, played with perfect precision by Truffaut, is under pressure from his American backers to finish his film called MEET PAMELA, a tragedy about a woman who falls in love with her father-in-law. Radiantly beautiful Jacqueline Bisset plays the less-than-confident American megastar Julie, who has the starring role of Pamela. Julie brings her new husband, a silver-haired doctor old enough to be her father, to the set with her.
The English title DAY FOR NIGHT for the French film LE NUIT AMERICAINE comes from the way filmmakers can shoot nighttime scenes during the day and then darken them in the developing to look like night. The title is apt in that the fascination of the picture comes from the behind the scenes look we get at the way pictures are made. A two hour documentary would not reveal less and certainly would not be as involving as DAY FOR NIGHT.
We see all of the details, large and small. To avoid continuity errors, the cigarettes are carefully chopped to the same length for each take. The actors step over the camera rails as they are being filmed and are careful not to trip. We watch them acting from facades and observe the director and the editor pouring over the day's film stock.
Like real movie making, the production of MEET PAMELA has a slew of problems, which puts the director's 7-week schedule in jeopardy at every turn. The lab destroys a complicated and costly crowd scene. Costumes are sent back too early. And, boy oh boy, are those stars ever temperamental and thus keep getting in the way of a successful completion of their production. Still, little that happens, except the ending, is a surprise. The masterwork of the movie is that Truffaut makes both DAY FOR NIGHT and the cheap melodrama MEET PAMELA fascinating without tricks or gimmicks.
But the picture is no boring pseudo-documentary. The actors come alive with enough mini-dramas for a couple of daytime soap operas. As in "Upstairs, Downstairs," the minor members of the crew have as many trials and tribulations as the cast.
Valentina Cortese plays the older actress Severine, who drinks too much and forgets her lines as Pamela's mother-in-law. Jean-Pierre Leaud plays the impetuous young actor Alphonse, who is in love with Bisset in both pictures -- who wouldn't be! If you've never quite understood how romances on movie sets develop, this movie demonstrates how quite convincingly.
In a revelation of the duality of an actor's real and celluloid lives, Julie and Pamela come to the same conclusion. "I've decided to live alone," they both declare at different times. "I know that life is rotten."
Although written a quarter of a century ago, the film seems remarkably fresh and relevant. The director complains that, "THE GODFATHER is showing all over Nice, and it's killing the other movies." With this summer's action blockbusters taking over most of the screens this comment becomes so apropos. If DAY FOR NIGHT were released for the first time this summer, it would be buried by the fourth episode of masked superheroes and the second of mechanical lizards as were ULEE'S GOLD and PONETTE.
DAY FOR NIGHT runs 1:55. The film is in French with English subtitles. It is rated PG for mild profanity and for sexuality. The film would be fine for teenagers and those a bit younger. I loved this sweet film and think you would too, so it gets a strong recommendation from me and *** 1/2.
**** = A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show. Don't waste your money. 0 = Totally and painfully unbearable picture.
REVIEW WRITTEN ON: August 14, 1997
Opinions expressed are mine and not meant to reflect my employer's.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


The Poet class¶
-
class
tflyrics.
Poet
(name: str = None, vocabulary: list = None, embedding_dim: int = 256, rnn_units: int = 1024, batch_size: int = 32)¶ An artificial poet.
A Poet object is an object that wraps a recurrent predictive TensorFlow model, and with it can predict the next character in a sequence of unicode characters extracted from a possibly large text corpus.
-
property
batch_size
¶ Get the batch size of the poet’s internal model.
Get the model’s batch size, i.e. the number of inputs that can be fed at once to the model for traning or evaluation.
- Returns
the current batch size
-
build_model
(batch_size: int = 1) → None¶ Build the Poet’s internal model.
- Parameters
batch_size – the number of inputs to be fed at once to the model
-
generate
(start_string: str, n_gen_chars: int = 1000, temperature: float = 1.0) → str¶ Generate text using the poet’s internal model.
Generate a specified number of characters by feeding an initial string to the model and using this string as a starting point to repeatedly sample a character that is likely to appear after the previously generated character.
- Parameters
start_string – initial string fed to the model
n_gen_chars – number of characters to generate
temperature – how surprising vs. predictable characters should be
- Returns
a new, generated text
-
restore
() → None¶ Restore the state of the Poet’s model from a checkpoint.
If checkpoints have been saved during training, set the Poet’s model parameters (weights) to the state of the latest checkpoint saved.
- Raises
ResourceWarning
-
train_on
(train_data: object, val_data: object = None, n_epochs: int = 1, checkpoints: bool = False) → dict¶ Train the Poet’s internal model on a dataset.
Train the Poet’s internal model on a TensorFlow Dataset containing batches of sequences of text (encoded as integers). You can also add a validation dataset as a separate argument. Optionally specify the number of epochs (by default just 1 epoch), and whether a checkpoint of the model should be saved at the end of each training epoch. Returns the training history, as a dictionary whose values are lists; each list represents a metric, and each element in the list is the value of that metric at a certain epoch.
- Parameters
train_data – LyricsGenerator or TensorFlow Dataset
val_data – LyricsGenerator or TensorFlow Dataset
n_epochs – number of training epochs
checkpoints – whether or not to save checkpoints of the model
- Returns
the training history, as a dictionary of lists
-
property


EMPLOYMENT HISTORY
-
Springfield Nuclear Power Plant, Springfield, USA 1989 to Present
Safety Inspector
- Strengthened safety procedures that resulted in 75% fewer accidents on days I was absent.
- Pioneered workplace stress-reduction methods that worked for at least one employee.
-
City of Springfield, Springfield, USA 2002 to 2002
Chief of Police
- Broke up weasel-selling ring.
- Secured community support in almost-successful effort to expel organized crime from city.
-
Moe's Tavern and Homer's Hunting Club, Springfield, USA 2001 to 2001
Bartender
- Engaged patrons in witty, whimsical, avuncular dialog covering topics such as the arts, philosophy, politics, and spectator sports.
- Launched remodeling project that led to 100% reduction in clientele (including myself).
-
National Aeronautics and Space Administration (NASA), Cape Canaveral, FL 1994 to 1994
Astronaut
- Averted in-flight disaster by forcing giant ants out of cockpit during space shuttle mission.
-
Mr. Plow, Springfield, USA 1992 to 1993
Owner, Chief Marketing Officer, and Chief Driver for Snow-Plowing Business
- Boosted business 15% by executing late-night TV marketing campaign targeting homeowners who were too wasted to shovel their driveways.
- Deliberated at length before rescuing man trapped beneath mountain avalanche.
-
Springfield Isotopes Baseball Club, Springfield, USA 1990 to 1990
Game Mascot ("Dancin' Homer")
- Generated 25% increase in fan interest and 50% jump in beer sales by leading cheers at home games for minor league baseball team


One implementation of the Null Object Pattern (renamed "Nil" for Ruby). All methods not defined by Object simply return the Aquarium::Utils::NilObject itself. Users can subclass or add methods to instances to customize the behavior.
[Validate]


- C23 - Receive task to fix Blue APR, create
new branch
- C24 - Complete task, save changes, and update QA
- C27 - QA now shows both BAU and APR
- C25 - Phase 1 - Deploy-Prep
Change links to re-direct traffic
- C25 - Preprod is updated for pre-deploy QA
- C28 - PS is set to turn off blue and traffic
is being redirected, so preAPR goes live
- C29 - Make deploy branch for preparation
- C30 - Update branch with features being deployed
(In this case only blueAPR)
- Submit pull request to preprod
- Pull requests send up the necessary changes for
a senior to reivew before updating
a high level branch
- C31 - Justin or Ed have reviewed the pull request
and updated preprod
- C31 - Preprod has gone through QA and Justin
has updated the master version making
it live


Creating Snapshot Packages
A snapshot package is a two-step process allowing you to easily make a package containing all files added to a directory after a certain point in time. In the first step, a snapshot of the directory is taken, and stored into a .snapshot bundle. In the second step, this snapshot is compared against the current state of the directory and a package is created containing the files added since the snapshot. Both steps are currently done using the PackageMaker CLI.
Creating the Snapshot
To create a snapshot package, you must first create the snapshot which will later be compared against the directory. To create a snapshot, use the following command:
/Developer/Tools/packagemaker --snapshot root-path destination-path
For example, to snapshot ~/Documents/MyGreatApp
, you might use:
/Developer/Tools/packagemaker --snapshot ~/Documents/MyGreatApp ~/Docments/MyGreatApp.snapshot
typed on one line. This would create the snapshot directory ~/Documents/MyGreatApp.snapshot
. The structure of this directory would be as follows:
- MyGreatApp.snapshot - Contents Info.plist snapshot.bom
The Info.plist contains the path to the original directory. The snapshot.bom file is a bill-of-materials file specifying the contents of the directory when the snapshot was taken.
Creating the Snapshot Package
After creating the snapshot and adding whatever files you like to the directory, you can create a snapshot package containing only the added files. This is done much like creating a normal package with the CLI:
/Developer/Tools/packagemaker -build -snapshot snapshot-path [other options]
Essentially, in addition to all the normal CLI options, you specify the path to the snapshot directory. Note however that you do not need to specify a root directory - PackageMaker will use the directory specified in the Info.plist of the snapshot directory. For a full description of the other available options, see the packagemaker
man page.


City of San Diego
|
Mayor Kevin L. Faulconer
Toggle navigation
Data
Data Portal
DataSD Blog
About DataSD
Data Inventory
Performance & Analytics
Find the Data You Need!
Search datasets from the City of San Diego. Or
browse on the data catalog
Get Involved
Review the Inventory
Attend an Open San Diego Meeting
Made With Data
Budget Transparency
San Diego Map Gallery
Resources
Open Data Policy
Council Update
Performance & Analytics


Welcome!
First off, welcome to our very first user group meeting!
About Space Coast JS
Space Coast JS is a community of software developers interested in discussing JavaScript-based technologies. We present information on a wide range of JavaScript-related topics at our meetings such as Node.js, development tools, best practices, etc.
About Steven
I’m a software developer specializing in JavaScript, C#, and database systems. I’ve worked on everything from cutting-edge Node.js apps to NASA mainframes.
Before we talk about "Modern" JavaScript...
Let's talk about "Classic" JavaScript.

An Overview
- Code is added inline to HTML with the
<script>
tag.
- Events are attached to controls by embedding JS code into HTML attributes. Example:
<input type="button" onclick="doSomething();">
- Functions are typically defined in the global context.
- JavaScript is generally regarded as a toy language.
What's so bad about that?
Well...
- The UI and the code are tightly coupled.
- Naming conflicts and unintended overriding are likely in the global context.
- The code is difficult to maintain and debug.
- Automated testing and validation is difficult.
...There's a better way, right?
(Relax, nobody is bringing FrontPage back...)
Introducing Modern JS!
- Better libraries and frameworks.
- Better tools.
- More environments for JS to run in.
- A large and active community of developers.
Module Systems and Loaders
Until ES6 is released, JavaScript doesn't have a built-in module system. In the mean time, you can choose your own.
Don't forget about the classics!
Linters
Provides syntax validation and enforces coding guidelines and best practices. Useful for catching syntax errors before runtime.
- JSLint: The original JS linter.
- JSHint: Based on JSLint, more configurable.
- ESLint: A modular JS linting utility.
- JSCS: JavaScript coding style validator.
- CoffeeLint: A linter for CoffeeScript.
Build Systems
Used to execute steps required to validate, compile, and package your application.
- Cake: A simple build system for CoffeeScript.
- Grunt: A popular build system which uses JS for the build file.
- Gulp: A new and fancy build system based on streaming pipes.
- Brunch: A scaffolding and build tool that is pre-configured.
- Broccoli: An even newer and fancier build system based on even fancier streams/pipes/fibers/whatever.
Transpilers
A Transpiler, or source-to-source compiler, allows code to be converted into another source language such as JavaScript.
Testing
Automated unit and integration testing for server-side and client-side environments.
- NodeUnit: Focused on unit testing for Node.js
- QUnit: Focused on unit testing for a browser environment.
- Mocha/Chai/Sinon: TDD/BDD toolset with mocks for JS.
Node.js
JS on your server!
- Created in 2009 at Joyent using Google's V8 engine.
- All requests execute on a single thread, with all IO being asynchronous and evented (I.E. callbacks).
- Support for command-line programs to be written in JavaScript. Many of the JS development tools are written in this way.
- Ships with the package manager NPM.
- Write your server-side code in the same language as your client-side code!
Package Managers
Now that we have so many awesome libaries, how do we manage all of those third-part assets?
Conclusion
- JavaScript is a real language, so treat it like one.
- Use JS tools and best practices in your projects.
- Go forth and do awesome things!
Thanks for coming!
Questions?
Comments?


Catalonia is a traditional region of Spain that is fiercely proud of its unique culture. Barcelona is the most-visited destination. This colorful seaside city is full of attractions and things to do, with a captivating medieval quarter, surprising modernist architecture, and a vibrant urban culture, and if you are visiting the city you should not miss to visit the second hand markets.
This is the largest second-hand market in Barcelona and one of the oldest in Europe, as it dates back to the 14th century. In 2013 it was given a new home at the foot of the Agbar Tower near Poblenou and holds around 500 stalls.
At the Mercat del Encants you can find everything from rare antiques to junk-shop style gadgets, books and clothing. The market is open on Mondays, Wednesdays, Fridays and Saturdays from 9 a.m. to 8 p.m., with longer opening hours during the summer. read more info about encants maraket.
If you’re interested in second-hand books, comics, postcards and newspapers then be sure to check out the Mercat de Sant Antoni on a Sunday where you can find old and antique material.
The market is currently undergoing renovation and has been moved to a stretch of the street Comte d’Urgell, which is closed off for the occasion every Sunday.
Founded in 2007, the Flea Market is part of a new generation of second-hand markets who are firm believers in the old saying “one man’s garbage is another man’s gold.”
There are actually two markets organized by Flea Market: Fleadonia, which takes place every first Sunday of the month in El Raval, and El Flea, which takes place once a month near Drassanes metro stop. . for more info about El flea


 Just landed another great job. Bitcoins moons. Now I spend my days chasing the digital dragon again.
did someone plug the Tether printer back in?
grewalsatinder28-Aug-18 11:45 AM
how far this btc price will go wizards?
Deleted User28-Aug-18 11:46 AM
I can help you chase other dragons while you wait for the bear ;)
They call me mr shenron
actionslacks28-Aug-18 11:47 AM
I've chased them all. This one is the best.
It unironically makes exactly as much sense as the stock market
Cryptoon28-Aug-18 11:50 AM
Volume not that big tbh...
broken upper bb on the daily
Hollowman900028-Aug-18 11:51 AM
I expect 6-9k sideways channel until 2022
Everyone who dares play with leverage will get murdered
actionslacks28-Aug-18 11:54 AM
I set total crypto marketcap at 1/4 trillion, safe bet so far
Deleted User28-Aug-18 11:54 AM
2022
Thats 4 more years of wagecucking
1
:'(
actionslacks28-Aug-18 11:54 AM
buy below, sell above
Deleted User28-Aug-18 11:55 AM
Hi how can I help you today?
Hello goodmorning did you need anything?
Hey brother, did you need a hand?
Hey mate lookin for anythin in particular?
Hey hows your day been?
I was actually hoping for more blood first but wtf ever. sry boss. I quit.
CHMEX28-Aug-18 12:03 PM
thank you @Hollowman9000 that means a lot to me.
all the credit for coding the snapshots goe to Duke and James brilliant minds
If you’re in a position at breakeven or profit and you’re feeling “hopeful” why not close it? Trade, don’t gamble. Analyse and make money. Don’t guess and loose. NEVER LOOSE MONEY!!!
bishop28-Aug-18 01:44 PM
Probably likes loose women too
house28-Aug-18 01:47 PM
keep it tight, that money grip
we goin' high boi
blackjok3r28-Aug-18 01:48 PM
well I sold some KMd a couple of days ago... its mooned 50% of the time I did that before
hasnt happened in quite a while though lol
house28-Aug-18 01:49 PM
someone's been holding us down ... pool party at 1900
thanks @blackjok3r ... your timing is on the money ... do the same sh*t myself
blackjok3r28-Aug-18 01:51 PM
well.. .I sold all of my KMD litteraly a day before it mooned to $10+ in december
house28-Aug-18 01:51 PM
blackjok3r28-Aug-18 01:51 PM
so when ever I want it to go up, i sell some more
house28-Aug-18 01:51 PM
just give us the heads up aight
blackjok3r28-Aug-18 01:52 PM
lol...
seriously tho, cant know what it will do ... this year it always went down after I sold any. so meh
house28-Aug-18 01:53 PM
I think same for anyone past 8 months
blackjok3r28-Aug-18 01:53 PM
hold is best, but sometimes need to sell for costs etc.
house28-Aug-18 01:53 PM
dollar avg safety
1
25 day MA ascending toward 100 day is nice sign ... I think we have our bottom gents (kmd)(edited)
imho oc
snowdamn28-Aug-18 02:03 PM
ok, more wait
Bittersweet28-Aug-18 02:09 PM
Kmd slowly creeping back into top 50
Sshhhh
siu - Chainmakers28-Aug-18 02:11 PM
That bottom has been forming for the last weeks
I remember i posted the bottoming pattern and @Hollowman9000 said it would keep going down
Bittersweet28-Aug-18 02:15 PM
Fortunately, I never listen to @Hollowman9000 trading advice
1
Even @Hollowman9000 doesn't listen to @Hollowman9000 trading advice
blackjok3r28-Aug-18 02:17 PM
Clearly I listened to hollowman
lol
Hollowman900028-Aug-18 02:37 PM
Even Hollowman9000 doesn’t listen to Hollowman9000 trading advice


I128
Section: Devices and Network Interfaces (4)Updated: xf86-video-i128 1.3.4
Index Return to Main Contents
NAME
i128 - Number 9 I128 Xorg video driverSYNOPSIS
Section N'34'DeviceN'34' Identifier N'34'devnameN'34' Driver N'34'i128N'34' ... EndSection
DESCRIPTION
i128 is an Xorg driver for Number 9 I128 video cards. The driver is accelerated and provides support for all versions of the I128 chip family, including the SGI flatpanel configuration. Multi-head configurations are supported.SUPPORTED HARDWARE
The i128 driver supports PCI and AGP video cards based on the following I128 chips:- I128 rev 1
- (original)
- I128-II
- I128-T2R
- Ticket 2 Ride
- I128-T2R4
- Ticket 2 Ride IV
CONFIGURATION DETAILS
Please refer to xorg.conf(5) for general configuration details. This section only covers configuration details specific to this driver.The driver auto-detects the chipset type and may not be overridden.
The driver auto-detects the amount of video memory present for all chips and may not be overridden.
The following driver Options are supported:
- Option N'34'HWCursorN'34' N'34'booleanN'34'
- Enable or disable the HW cursor. Default: on.
- Option N'34'NoAccelN'34' N'34'booleanN'34'
- Disable or enable acceleration. Default: acceleration is enabled.
- Option N'34'SyncOnGreenN'34' N'34'booleanN'34'
- Enable or disable combining the sync signals with the green signal. Default: off.
- Option N'34'Dac6BitN'34' N'34'booleanN'34'
- Reduce DAC operations to 6 bits. Default: false.
- Option N'34'DebugN'34' N'34'booleanN'34'
- This turns on verbose debug information from the driver. Default: off.
SEE ALSO
Xorg(1), xorg.conf(5), Xserver(1), X(7)AUTHORS
Authors include: Robin Cutshaw (driver), Galen Brooks (flatpanel support).
Index
This document was created by man2html, using the manual pages.
Time: 05:33:53 GMT, December 24, 2015


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 21. Managing Databases | Next |
CREATE DATABASE actually works by copying an existing database. By default, it copies the standard system database named template1. Thus that database is the "template" from which new databases are made. If you add objects to template1, these objects will be copied into subsequently created user databases. This behavior allows site-local modifications to the standard set of objects in databases. For example, if you install the procedural language PL/Perl in template1, it will automatically be available in user databases without any extra action being taken when those databases are created.
There is a second standard system database named template0. This database contains the same data as the initial contents of template1, that is, only the standard objects predefined by your version of PostgreSQL. template0 should never be changed after the database cluster has been initialized. By instructing CREATE DATABASE to copy template0 instead of template1, you can create a "virgin" user database that contains none of the site-local additions in template1. This is particularly handy when restoring a pg_dump dump: the dump script should be restored in a virgin database to ensure that one recreates the correct contents of the dumped database, without conflicting with objects that might have been added to template1 later on.
Another common reason for copying template0 instead of template1 is that new encoding and locale settings can be specified when copying template0, whereas a copy of template1 must use the same settings it does. This is because template1 might contain encoding-specific or locale-specific data, while template0 is known not to.
To create a database by copying template0, use:
CREATE DATABASE dbname TEMPLATE template0;
from the SQL environment, or:
createdb -T template0 dbname
from the shell.
It is possible to create additional template databases, and indeed one can copy any database in a cluster by specifying its name as the template for CREATE DATABASE. It is important to understand, however, that this is not (yet) intended as a general-purpose "COPY DATABASE" facility. The principal limitation is that no other sessions can be connected to the source database while it is being copied. CREATE DATABASE will fail if any other connection exists when it starts; during the copy operation, new connections to the source database are prevented.
Two useful flags exist in pg_database for each database: the columns datistemplate and datallowconn. datistemplate can be set to indicate that a database is intended as a template for CREATE DATABASE. If this flag is set, the database can be cloned by any user with CREATEDB privileges; if it is not set, only superusers and the owner of the database can clone it. If datallowconn is false, then no new connections to that database will be allowed (but existing sessions are not terminated simply by setting the flag false). The template0 database is normally marked datallowconn = false to prevent its modification. Both template0 and template1 should always be marked with datistemplate = true.
Note: template1 and template0 do not have any special status beyond the fact that the name template1 is the default source database name for CREATE DATABASE. For example, one could drop template1 and recreate it from template0 without any ill effects. This course of action might be advisable if one has carelessly added a bunch of junk in template1. (To delete template1, it must have pg_database.datistemplate = false.)
The postgres database is also created when a database cluster is initialized. This database is meant as a default database for users and applications to connect to. It is simply a copy of template1 and can be dropped and recreated if necessary.


{% extends "base.html" %} {% block title %}Activated{% endblock %} {% block content %}
Account successfully activated.
You can now sign in to the website.
Main page


|
| static | _affectsRelationObjects ($className, $classPropKey, $manyToOneQueries, $oneToManyQueries, $manyToManyParsers, $objects, $included, $useCache) |
| |
| static | prepareManyToMany (&$ret, $instance, $member, $annot=null) |
| |
| static | prepareManyToOne (&$ret, $instance, $value, $fkField, $annotationArray) |
| |
| static | prepareOneToMany (&$ret, $instance, $member, $annot=null) |
| |
| static | _initRelationFields ($included, $metaDatas, &$invertedJoinColumns, &$oneToManyFields, &$manyToManyFields) |
| |
| static | getIncludedForStep ($included) |
| |
| static | getDb ($model) |
| |
| static | getClass_ ($instance) |
| |
| static | getInstance_ ($instance) |
| |
| static | getValue_ ($instance, $member) |
| |
| static | getFirstKeyValue_ ($instance) |
| |
| static | _getOne ($className, ConditionParser $conditionParser, $included, $useCache) |
| |
| static | _getAll ($className, ConditionParser $conditionParser, $included=true, $useCache=NULL) |
| |
| static | getFieldList ($tableName, $metaDatas) |
| |
|
| static | _getOneToManyFromArray (&$ret, $array, $fkv, $elementAccessor, $prop) |
| |
| static | getManyToManyFromArray ($instance, $array, $class, $parser) |
| |
| static | loadObjectFromRow ($row, $className, &$invertedJoinColumns, &$manyToOneQueries, &$oneToManyFields, &$manyToManyFields, &$oneToManyQueries, &$manyToManyParsers, &$accessors, &$transformers) |
| |
| static | parseKey (&$keyValues, $className) |
| |
Definition at line 26 of file DAOCoreTrait.php.
◆ _affectsRelationObjects()
| static _affectsRelationObjects |
( |
|
$className, |
|
|
|
$classPropKey, |
|
|
|
$manyToOneQueries, |
|
|
|
$oneToManyQueries, |
|
|
|
$manyToManyParsers, |
|
|
|
$objects, |
|
|
|
$included, |
|
|
|
$useCache |
|
) |
| |
|
staticabstractprotected |
◆ _getAll()
| static _getAll |
( |
|
$className, |
|
|
ConditionParser |
$conditionParser, |
|
|
|
$included = true , |
|
|
|
$useCache = NULL |
|
) |
| |
|
staticprotected |
- Parameters
-
| string | $className | |
| ConditionParser | $conditionParser | |
| boolean | array | $included | |
| boolean | null | $useCache | |
- Returns
- array
Definition at line 145 of file DAOCoreTrait.php.
◆ _getOne()
| static _getOne |
( |
|
$className, |
|
|
ConditionParser |
$conditionParser, |
|
|
|
$included, |
|
|
|
$useCache |
|
) |
| |
|
staticprotected |
◆ _getOneToManyFromArray()
| static _getOneToManyFromArray |
( |
& |
$ret, |
|
|
|
$array, |
|
|
|
$fkv, |
|
|
|
$elementAccessor, |
|
|
|
$prop |
|
) |
| |
|
staticprivate |
◆ _initRelationFields()
| static _initRelationFields |
( |
|
$included, |
|
|
|
$metaDatas, |
|
|
& |
$invertedJoinColumns, |
|
|
& |
$oneToManyFields, |
|
|
& |
$manyToManyFields |
|
) |
| |
|
staticabstractprotected |
◆ getClass_()
| static getClass_ |
( |
|
$instance | ) |
|
|
staticprotected |
◆ getDb()
◆ getFieldList()
| static getFieldList |
( |
|
$tableName, |
|
|
|
$metaDatas |
|
) |
| |
|
staticprotected |
◆ getFirstKeyValue_()
| static getFirstKeyValue_ |
( |
|
$instance | ) |
|
|
staticprotected |
◆ getIncludedForStep()
| static getIncludedForStep |
( |
|
$included | ) |
|
|
staticabstractprotected |
◆ getInstance_()
| static getInstance_ |
( |
|
$instance | ) |
|
|
staticprotected |
◆ getManyToManyFromArray()
| static getManyToManyFromArray |
( |
|
$instance, |
|
|
|
$array, |
|
|
|
$class, |
|
|
|
$parser |
|
) |
| |
|
staticprivate |
◆ getValue_()
| static getValue_ |
( |
|
$instance, |
|
|
|
$member |
|
) |
| |
|
staticprotected |
◆ loadObjectFromRow()
| static loadObjectFromRow |
( |
|
$row, |
|
|
|
$className, |
|
|
& |
$invertedJoinColumns, |
|
|
& |
$manyToOneQueries, |
|
|
& |
$oneToManyFields, |
|
|
& |
$manyToManyFields, |
|
|
& |
$oneToManyQueries, |
|
|
& |
$manyToManyParsers, |
|
|
& |
$accessors, |
|
|
& |
$transformers |
|
) |
| |
|
staticprivate |
- Parameters
-
| array | $row | |
| string | $className | |
| array | $invertedJoinColumns | |
| array | $manyToOneQueries | |
| array | $accessors | |
- Returns
- object
Definition at line 194 of file DAOCoreTrait.php.
◆ parseKey()
| static parseKey |
( |
& |
$keyValues, |
|
|
|
$className |
|
) |
| |
|
staticprivate |
◆ prepareManyToMany()
| static prepareManyToMany |
( |
& |
$ret, |
|
|
|
$instance, |
|
|
|
$member, |
|
|
|
$annot = null |
|
) |
| |
|
staticabstractprotected |
◆ prepareManyToOne()
| static prepareManyToOne |
( |
& |
$ret, |
|
|
|
$instance, |
|
|
|
$value, |
|
|
|
$fkField, |
|
|
|
$annotationArray |
|
) |
| |
|
staticabstractprotected |
◆ prepareOneToMany()
| static prepareOneToMany |
( |
& |
$ret, |
|
|
|
$instance, |
|
|
|
$member, |
|
|
|
$annot = null |
|
) |
| |
|
staticabstractprotected |
◆ $accessors
◆ $fields
The documentation for this class was generated from the following file:


Oomla Exchange Rate Calculator
Choose the currency and the amount to get the exchange rate
United States dollar
Euro
Swap
Bulgarian lev
Brazilian real
Bahamian dollar
Canadian dollar
Swiss franc
Chilean peso
Chinese yuan
Colombian peso
Czech koruna
Danish krone
Dominican peso
Egyptian pound
Euro
Fijian dollar
British pound
Guatemalan quetzal
Hong Kong dollar
Croatian kuna
Hungarian forint
Indonesian rupiah
Israeli new shekel
Indian rupee
Icelandic króna
Japanese yen
South Korean won
Kazakhstani tenge
Maldivian rufiyaa
Mexican peso
Malaysian ringgit
Norwegian krone
New Zealand dollar
Panamanian balboa
Peruvian nuevo sol
Philippine peso
Pakistani rupee
Polish złoty
Paraguayan guaraní
Romanian leu
Russian ruble
Saudi riyal
Swedish krona
Singapore dollar
Thai baht
Turkish lira
New Taiwan dollar
Ukrainian hryvnia
United States dollar


libcsce.parser module¶
- class libcsce.parser.CobaltStrikeConfigParser(source, version, disable_decryption=False, decryption_threshold=None)¶
Bases:
object
Cobalt Strike Beacon config parser.
Supports parsing both encrypted and/or encoded Beacon configs from PE files (DLL/EXE) and memory dumps taken from systems where a Beacon was running. Currently, Beacons generated using CobaltStrike versions 3.x and 4.x (latest major version) can be decrypted and decoded. The class should be used as a context manager if parsing from a file on disk, as that will ensure it closes any file handles before exiting. If parsing from a buffer (
libcsce.typing.ConfigBuffer
) using as a context manager is not necessary.- Parameters
source (
Union
[bytearray
,bytes
,Path
]) – buffer containing, or file path pointing to, PE file or memory dumpversion (
int
) – Cobalt Strike version (must be one ofCobaltStrikeConfigParser.SUPPORTED_VERSIONS
)disable_decryption (
bool
) – disable decryption attempt of Beacon config datadecryption_threshold (
Optional
[int
]) – override thethreshold
used during decryption key search (see:CobaltStrikeConfigParser.gen_config_from_encrypted()
)
- Variables
version – Cobalt Strike version (must be one of
CobaltStrikeConfigParser.SUPPORTED_VERSIONS
)- Examples
Parse config from Beacon file on disk:
>>> from pathlib import Path >>> from libcsce import CobaltStrikeConfigParser >>> with CobaltStrikeConfigParser(Path("testdata/exe-sample-01.bin"), 4) as beacon: ... config = beacon.parse_config() >>> config["dns-beacon"]["dns_idle"] '<IP_ADDRESS>'
Read Beacon to buffer then parse config:
>>> from pathlib import Path >>> from libcsce import CobaltStrikeConfigParser >>> beacon_buffer = Path("testdata/exe-sample-01.bin").read_bytes() >>> beacon = CobaltStrikeConfigParser(beacon_buffer, 4) >>> config = beacon.parse_config() >>> config["dns-beacon"]["dns_idle"] '<IP_ADDRESS>'
- DECODED_SIGNATURE: bytes = b'\x00\x01\x00\x01\x00\x02..\x00\x02\x00\x01\x00\x02..\x00'¶
Decoded Beacon config signature. Used to verify that decryption and/or decoding worked successfully.
- DEFAULT_DECRYPTION_THRESHOLD: int = 1100¶
Default for minimum occurrences of decryption key in encrypted Beacon config (see:
CobaltStrikeConfigParser.gen_config_from_encrypted()
).
- ENCODED_SIGNATURES: Dict[int, bytes] = {3: b'ihihik..ikihik..ij', 4: b'././.,...,./.,...'}¶
Encoded Beacon config signatures for each supported Beacon version. Use to detect encoded config data during the parsing process (see:
CobaltStrikeConfigParser.gen_config_from_encoded()
).
- ENCODE_XOR_KEYS: Dict[int, int] = {3: 105, 4: 46}¶
Static encoding keys for each supported Beacon version.
- SIZE: int = 4096¶
Size in bytes of the config data.
- SUPPORTED_VERSIONS: Set[int] = {3, 4}¶
Set of supported Beacon versions.
- classmethod gen_config_from_decoded(source_buffer)¶
Generate config data buffer from decoded Beacon.
This function should be used after decrypting and/or decoding the Beacon config data using
CobaltStrikeConfigParser.gen_config_from_encrypted()
andCobaltStrikeConfigParser.gen_config_from_encoded()
.- Parameters
source_buffer (
Union
[bytearray
,bytes
,mmap
]) – buffer to extract Beacon config data from- Return type
Union
[bytearray
,bytes
,None
]- Returns
If the decoded config data signature is found, buffer containing config data, otherwise
None
.
- classmethod gen_config_from_encoded(source_buffer, version)¶
Decode config data from the provided buffer.
Cobalt Strike can encode Beacon config data with a static key, which depends on the version (see:
CobaltStrikeConfigParser.ENCODE_XOR_KEYS
). Each version also has a distinct signature for encoded data (see:CobaltStrikeConfigParser.ENCODED_SIGNATURES
), which this function uses to determine the data offset. This function should be used after decrypting config data withCobaltStrikeConfigParser.gen_config_from_encrypted()
, if necessary.- Parameters
source_buffer (
Union
[bytearray
,bytes
,mmap
]) – buffer to decode Beacon config data fromversion (
int
) – Cobalt Strike version
- Return type
Union
[bytearray
,bytes
,None
]- Returns
If the encoded config data signature is found, buffer containing decoded config data, otherwise
None
.
- classmethod gen_config_from_encrypted(source_buffer, threshold=None)¶
Decrypt config data from the
.data
section of a PE file.The
.data
section in Beacon PE files are often much larger thanCobaltStrikeConfigParser.SIZE
. Since XOR-ing with 0x00 produces the identity, a large portion of the.data
section turns out to be the randomly-generated XOR key. This function exploits that fact to find the key by counting the number of occurrences of each 4-byte sequence in the section, and choosing the sequence that occurs at leastthreshold
times. Empirically the number of occurrences for the this sequence is much larger than the second most frequent sequence (hundreds more), and significantly larger than the third, fourth, fifth, etc. RomanEmelyanov’s parser on GitHub provides another way to decrypt Beacon configs from non-PE files. This method will likely be included once it’s understood more and can be tested.- Parameters
source_buffer (
Union
[bytearray
,bytes
,mmap
]) – buffer to decrypt Beacon config data fromthreshold (
Optional
[int
]) – override thethreshold
used during decryption key search
- Return type
Union
[bytearray
,bytes
,None
]- Returns
If an encryption key is found, new buffer containing the decrypted config data, otherwise
None
.
- gen_config_from_source()¶
Decrypt and/or decode Beacon config data from the provided source.
This function works in three steps:
If decryption isn’t disabled, attempt to decrypt the Beacon config data.
Search the decoded data signature and, if found, return the decoded data.
Otherwise, attempt to decode the config data and return it.
- Return type
Union
[bytearray
,bytes
]- Returns
If decryption and/or decoding were successful, buffer containing Beacon config data, otherwise
None
- Raises
ConfigNotFoundError – No config data identified after decryption and/or decoding
- parse_config()¶
Parse Beacon config settings.
Uses
CobaltStrikeConfigParser.gen_config_from_source()
to extract the Beacon config data and parse the settings usinglibcsce.setting.BeaconSettings
.- Return type
Dict
[str
,Any
]- Returns
Dictionary containing config settings


--- layout: paper headline: Publications title: 'Maintaining State in Propagation Solvers' authors: 'Raphael M. Reischuk, Christian Schulte, Peter J. Stuckey, Guido Tack' howpublished: > In: Ian Gent, editor, Fifteenth International Conference on Principles and Practice of Constraint Programming, Lisbon, Portugal, volume 5732 of Lecture Notes in Computer Science, pages 692-706. Springer-Verlag, September, 2009. copyright: Copyright Springer-Verlag, the original publication is available at www.springerlink.com link: pdf bibtex: > @InProceedings{ReischukSchulteEa:CP:2009, Author = "Raphael M. Reischuk and Christian Schulte and Peter J. Stuckey and Guido Tack", Title = "Maintaining State in Propagation Solvers", Editor = "Ian Gent", Booktitle = "Fifteenth International Conference on Principles and Practice of Constraint Programming", Year = 2009, Month = sep, Address = "Lisbon, Portugal", Publisher = "Springer-Verlag", Series = "Lecture Notes in Computer Science", Volume = "5732", Pages = "692--706", } relation: > Includes an evaluation of how well hybrid recomputation in Gecode works compared to trailing shorthowpub: > Fifteenth International Conference on Principles and Practice of Constraint Programming, 2009. ---
Constraint propagation solvers interleave propagation, removing impossible values from variable domains, with search. The solver state is modified during propagation. But search requires the solver to return to a previous state. Hence a propagation solver must determine how to maintain state during propagation and forward and backward search. This paper sets out the possible ways in which a propagation solver can choose to maintain state, and the restrictions that such choices place on the resulting system. Experiments illustrate the result of various choices for the three principle state components of a solver: variables, propagators, and dependencies between them. This paper also provides the first realistic comparison of trailing versus copying for state restoration.


{% extends "base.html" %} {% load compress %} {% block content %} Reflectance Detail Blob Shape {% include "material_shape_thumb.html" with entry=shape %} {% include "bsdf_wd_table.html" with entry=bsdf %} Photo {% include "shape_poly_display_photo.svg" with entry=shape %} {% for v in votes %} {% include "votes_bar.html" with bar=v %} {% endfor %} {% endblock %}


... is a C++ applications framework for graphics, audio, and interface programming. It bundles state-of-the-art libraries and exposes them under a simple API. The framework is built around the OpenSceneGraph library. We use is as our rendering engine and in many ways it functions as a coding style guide.
You can use va to write native applications with dynamic graphics and user interfaces. You can programmatically generate geometry, imagery, and sound. You can design interactions and define behavior both for the user and for other machines over the network. New features come without bloat in the form of addons.
VirtualAwesome makes heavy use of the C++ std library. At the same time we are quite conservative with advanced language concepts like templates and smart pointers. They find its way into the framework only when significantly contributing to the overall simplicity and ease of use. In this regard va takes lessons learned from projects like OpenFrameworks and Processing.
VirtualAwesome is written in cross-platform C++ and supports OSX, Linux, and Windows. It is setup for easy integration of keyboard, mouse, scroll wheel, pen tablet, and multitouch. It can load png, jpeg, bmp image formats and obj, 3ds, stl, osg 3d model formats. It also has many useful features like vertical syncing and full-screen multisampling.


Steven J. Zwick
Unafffiliated
I am currently retired, having served as the San Miguel County, Colorado, County Attorney from 1994 until I retired in February 2018. My Colorado Attorney registration status is currently inactive. A copy of my professional resume, which was prepared while I was residing in Telluride, CO, prior to my moving to Ridgway, CO in 2002, is attached.
I received a Bachelor of Arts degree, majoring in History, with honors, from Harpur College, State University of New York at Binghamton, in 1974. I received a Juris Doctor degree from the University of Colorado School of Law in 1977. I recently received the Law School Alumni Council's 2020 Distinguished Alumni Achievement - Public Sector Award. I received a Master in Public Administration - Mid Career degree from Harvard University's John F. Kennedy School of Government in 1991.
81432
My political activity since November 10, 2015, in addition to voting in the 2016, 2018, and 2020 general elections, has been primarily limited to providing campaign contributions to various candidates for political office at the county, state, and federal level, within and outside of Colorado. The following is a list of persons and political organizations for whom I have documentation that I have donated money to since November 10, 2015: Joe Biden, Michael Bennet, Diane Mitsch Bush, Gail Schwartz, Mark Kelly, Jacky Rosen, Jon Tester, John Hickenlooper, James Iacino, Heidi Heitkamp, Barbara McLachlan, Let America Vote PAC, Giffords PAC-IE, Democratic National Committee, Yes on National Popular Vote, End Citizens United, Kamala Harris, Bill Nelson, PAC to the Future, Jared Golden, Nancy Pelosi. I worked as a volunteer for Colorado state representative Barbara McLachlan reelection campaign during the 2020 election.
During my tenure as the San Miguel County, Colorado, County Attorney I was a member of the Colorado County Attorney's Association, including two terms on the board of directors, and the Colorado Bar Association, those memberships ended following my retirement as County Attorney in 2018. Since my retirement I have volunteered my services to the Town of Ridgway, where I reside, primarily with regard to planning and land use matters.
As a county attorney for San Miguel and La Plata Counties in Colorado, and as an assistant county attorney for Garfield County, CO, I devoted considerable time and effort to representing and advocating for those counties. This advocacy included testifying on behalf of the county before Colorado legislative committees, as well as various state agencies regarding pending legislation and regulations. Prior to my county government service I served as an attorney for the Colorado Rural Legal Services program in Grand Junction and Trinidad, CO, in that position I spent a considerable time and effort representing and advocating for the legal/civil rights of low income Colorado residents.
After over thirty years of county government service in Colorado it would be an honor and privilege to be able to continue to serve the citizens of Colorado in one of the most significant public policy positions in state government, as mandated by both the federal and state constitutions and statutes. Service on the commission would provide me with a meaningful opportunity to give back something of value to Colorado's citizens, using my years of public sector legal experience and expertise.
During my years serving as an attorney in three Colorado county governments I obtained considerable experience promoting and achieving consensus and agreement between various county elected and appointed officials on a wide variety of matters.
One of the principal functions of an attorney, especially one serving in the public sector, is to apply their legal training and analytical skills to the myriad of policy issues that their government clients confront on a regular basis. This task includes the application of legal reasoning and logic to a multitude of substantive matters, from the drafting of legislation and legal agreements, to advocating for various policy positions, in both litigation and non-litigation matters. While serving in county government I have had the privilege to litigate matters before Colorado and Federal trial and appellate courts. I also provided legal counsel in the decennial statutory county redistricting process for San Miguel County commissioner districts in 2001 and 2011.
Male


You must have noticed, in the previous exercise, that the articles received via the window.lib.getPosts function included a property id .
The window.lib.getComments () function is available in the script. It should receive an item id as a parameter, and return a Promise which will be resolved, after a short delay, with the table of comments on the article.
When you click on the button, calls the getPosts function. For each item retrieved, calls the getComments function and adds the comments obtained in a comments property of the article. Display articles in the console (the getPosts and getComments functions will always be resolved without error).
Note : for this exercise, use the syntax async/await.