Categorization¶
Jobs¶
Tasks related to running jobs for Tamr Categorization projects
-
tamr_toolbox.project.categorization.jobs.
run
(project, *, run_apply_feedback=False)[source]¶ Run the project
-
tamr_toolbox.project.categorization.jobs.
update_unified_dataset
(project)[source]¶ Updates the unified dataset for a categorization project
- Parameters
project (
CategorizationProject
) – Target categorization project- Return type
List
[Operation
]- Returns
The operations that were run
-
tamr_toolbox.project.categorization.jobs.
apply_feedback_and_update_results
(project)[source]¶ Trains the model and updates the categorization predictions of a categorization project
- Parameters
project (
CategorizationProject
) – Target categorization project- Return type
List
[Operation
]- Returns
The operations that were run
-
tamr_toolbox.project.categorization.jobs.
update_results_only
(project)[source]¶ Updates the categorization predictions based on the existing model of a categorization project
- Parameters
project (
CategorizationProject
) – Target categorization project- Return type
List
[Operation
]- Returns
The operations that were run
Metrics¶
Tasks related to metrics for Tamr Categorization projects
-
tamr_toolbox.project.categorization.metrics.
get_tier_confidence
(project, *, tier=-1, allow_dataset_refresh=False)[source]¶ Extracts tier-specific average confidence from a Tamr internal dataset <unified dataset name>_classifications_average_confidences in a dictionary
- Parameters
- Return type
- Returns
dictionary - keys are category paths, joined by ‘|’ if multi-level taxonomy and values are average confidence of the corresponding keys
- Raises
RuntimeError – if dataset is not streamable and allow_dataset_refresh is False;
TypeError – if tier is not of type int; or if the project type is not classification
ValueError – if tier is less than -1 or equal to 0
Schema¶
-
tamr_toolbox.project.categorization.schema.
map_attribute
(project, *, source_attribute_name, source_dataset_name, unified_attribute_name)¶ Maps source_attribute in source_dataset to unified_attribute in unified_dataset. If the mapping already exists it will log a warning and return the existing AttributeMapping from the project’s collection.
- Parameters
- Return type
AttributeMapping
- Returns
AttributeMapping that was created
- Raises
ValueError – if input variables source_attribute_name or source_dataset_name or unified_attribute_name are set to empty strings; or if the dataset source_dataset_name is not found on Tamr; or if source_attribute_name is missing from the attributes of source_attribute_name
-
tamr_toolbox.project.categorization.schema.
unmap_attribute
(project, *, source_attribute_name, source_dataset_name, unified_attribute_name)¶ Unmaps a source attribute.
- Parameters
source_attribute_name (
str
) – the name of the source attribute to unmapsource_dataset_name (
str
) – the name of the source dataset containing that source attributeunified_attribute_name (
str
) – the unified attribute from which to unmapproject (
Project
) – the project in which to unmap the attribute
- Return type
None
- Returns
None
-
tamr_toolbox.project.categorization.schema.
bootstrap_dataset
(project, *, source_dataset, force_add_dataset_to_project=False)¶ Bootstraps a dataset (i.e. maps all source columns to themselves)
- Parameters
source_dataset (
Dataset
) – the source dataset (a Dataset object not a string)project (
Project
) – the project to do the mapping ingforce_add_dataset_to_project (
bool
) – boolean whether to add the dataset to the project if it is not already a part of it
- Return type
List
[AttributeMapping
]- Returns
List of the AttributeMappings generated
- Raises
RuntimeError – if source_dataset is not part of the given project, set ‘force_add_dataset_to_project’ flag to True to automatically add it
-
tamr_toolbox.project.categorization.schema.
unmap_dataset
(project, *, source_dataset, remove_dataset_from_project=False, skip_if_missing=False)¶ Wholly unmaps a dataset and optionally removes it from a project.
- Parameters
source_dataset (
Dataset
) – the source dataset (Dataset object not a string) to unmapproject (
Project
) – the project in which to unmap the datasetremove_dataset_from_project (
bool
) – boolean to also remove the dataset from the projectskip_if_missing (
bool
) – boolean to skip if dataset is not in project. If set to false and dataset is not in project will raise a RuntimeError
- Return type
None
- Returns
None
- Raises
RuntimeError – if source_dataset is not in project and skip_if_missing not set to True
Transformations¶
-
tamr_toolbox.project.categorization.transformations.
InputTransformation
(transformation, datasets=<factory>)¶ A transformation scoped to input datasets
- Version:
Requires Tamr 2020.009.0 or later
-
tamr_toolbox.project.categorization.transformations.
TransformationGroup
(input_scope=<factory>, unified_scope=<factory>)¶ A group of input transformations and unified transformations
- Version:
Requires Tamr 2020.009.0 or later
-
tamr_toolbox.project.categorization.transformations.
get_all
(project)¶ Get the transformations of a Project
- Version:
Requires Tamr 2020.009.0 or later
- Parameters
project (
Project
) – Project containing transformations- Return type
TransformationGroup
- Returns
All input transformations and unified transformations of a project
-
tamr_toolbox.project.categorization.transformations.
set_all
(project, tx, *, allow_overwrite=True)¶ Set the transformations of a Project
- Version:
Requires Tamr 2020.009.0 or later
- Parameters
project (
Project
) – Project to place transformations withintx (
TransformationGroup
) – Transformations to put into projectallow_overwrite – Whether existing transformations can be overwritten
- Return type
Response
- Returns
Response object created when transformations of a project are replaced
- Raises
RuntimeError – if allow_overwrite is set to False but transformations already exists in project
ValueError – if provided tx are invalid
-
tamr_toolbox.project.categorization.transformations.
get_all_unified
(project)¶ Get the unified transformations of a Project
- Version:
Requires Tamr 2020.009.0 or later
-
tamr_toolbox.project.categorization.transformations.
set_all_unified
(project, tx, *, allow_overwrite=True)¶ Set the unified transformations of a Project. Any input transformations will not be altered
- Version:
Requires Tamr 2020.009.0 or later
- Parameters
- Return type
Response
- Returns
Response object created when transformations of a project are replaced
- Raises
RuntimeError – if allow_overwrite is set to False but transformations already exists in project


[gecode-users] odering information for unary scheduling constraints
Guido Tack
tack at gecode.org
Mon Aug 23 09:41:04 CEST 2010
Kish Shen wrote:
> I am looking at the unary scheduling constraints, as I have just added them to the ECLiPSe gecode interface. ECLiPSe has both unary and cumulative constraints, which were added some time ago (more than 10 years ago now, I think), and for the unary constraint, there is a version with ordering booleans, where each pair of task has a 0/1 domain variable (BoolVar for gecode) associated with it, which specify the order of the pair of task (if i is before j or j before i for pair i,j).
> This seems to be very useful, because it can used to specify ordering if required, or be used in search to try the different orderings.
>
> I guess for gecode, you would need to post extra reified constraints specifying the ordering? Does it make sense to move this into the unary constraint?
It's the same information that is expressed in an STN (Simple Temporal Network), and I'm currently implementing that. It won't be part of the unary constraint, because it's really not tied to any particular resource, but it's shared between all resources (tasks can be on more than one resource, but there's only one order among all tasks).
> I was also looking at the global constraint catalog, to see if they have a unary constraint with ordering. I found disj, which specify ordering in a different way: for each task, there is a set variable that gives/specify the tasks that happen earlier, and a variable position that gives the absolute order of the task. The description then mention that the algorithm for shaving the position attribute is implemented in gecode. Is this in the unary constraint? Is it used internally? I can't see any ordering information that can be accessed from the outside in the description of the unary constraint, or have I missed something?
The information in the global constraint catalog is not correct. Gecode has disjunctive, but not disj. I'll let them know.
Cheers,
Guido
--
Guido Tack, http://people.cs.kuleuven.be/~guido.tack/
More information about the users
mailing list


Date: Thursday, June 22, 2017 at 5pm in the CCTB
Attention: this is the first WUBSyB/HackyHour cross-over. So we will have a WUBSyB session about "deep work" from 5pm to 6pm and then continue with a regular HackyHour :)
http://wubsyb.github.io/
Ideas:
- Mobile App development (React Native)+1
- Docker security/singularity +1
- Esoteric programming languages
- Some Advanced git/gitlab topics +1+1+1
- Principal Component Analysis http://setosa.io/ev/principal-component-analysis/ +1+1
- Tools for project/day planning management
Participants:
- Markus
- Sonja
- Florian
- Frank
- Simon
- Philip
- Philipp M.
- Torsten
Pizza:
Attention: Pizza will be ordered at 5pm
- Chicken-Cheese-Tomato-BBQ (C.C.T.B.)
- Pizza Piemonte (vegetarian: spinat, schafskäse, pepperoni)
- Pizza Special (mit Schinken, Salami, Paprika, Peperoni, Zwiebeln und frischen Champignons)
- Pizza Zingara (vegetarian: mit Mozzarella, Zwiebeln, Paprika und Oliven)
- Pizza (Knobi, Aioli, Zwiebel, Soure Cream, Dönergewürz)


By default the block-ui module marks the body element as the main block instance. But in some cases this behaviour is not desired. When for instance the body element is not accessible or your ng-app directive is a child element of the body element.
It is however quite simple to relocate the main block-ui instance by simply marking a different element as the main instance.

Lorem ipsum ...

angular.module('myApp').config(function(blockUIConfig) {
// Tell blockUI not to mark the body element as the main block scope.
blockUIConfig.autoInjectBodyBlock = false;
});


Server function for the noteCrudMod module.
noteCrudMod(input, output, session, group_column, selected_group, group_options, category_options, table_id, db_conn, style_options = default_styles())
| input | Standard |
|---|---|
| output | Standard |
| session | Standard |
| group_column | Column in table to group and filter notes by |
| selected_group | Currently selected group column value |
| group_options | Group column row value options |
| category_options | Category column row value options |
| table_id | Named list with member 'table' and 'schema' referring to a db table containing notes. |
| db_conn | database connection cursor |
| style_options | Optional named list of css styles to apply to note panel elements. |
if(interactive()){ shiny::callModule( module = noteCrudMod, id = "paragraph", style_options = shiny::reactive({ list( "type" = "bullets", "header" = list("color" = "#ccc"), "panel" = list("scrollY" = TRUE) ) }), group_column = "package", selected_group = shiny::reactive("shiny"), group_options = c("shiny", "shinyWidgets", "dplyr"), category_options = c("modules", "noteCrudMod"), table_id = list(table = "scroll_demo", schema = "notes"), db_conn = connect_sqlite(auto_disconnect = F) ) }


Html
If you need 'data-t-show'
run see first screen. You have to add '.t-animated'
Javascript
You can insert options t-element: '.class'
or '#id'
view more options
@@include('../html-global/head.html')
@@include('../html-global/navbar.html')You can sort elements for the start of an animation from small to large numbers.
@@include('../html-global/list-demo-6col.html') @@include('../html-global/box-list-demo.html')


--- title: Home ---
Welcome! I plan to use this site to do some writing (mainly about typed functional programming) as well as show off some projects.


import fme
import fmeobjects
import re
from html.parser import HTMLParser
# Template Function interface:
# When using this function, make sure its name is set as the value of
# the 'Class or Function to Process Features' transformer parameter
[docs]class HTMLFilter(HTMLParser):
"""Class that serves as the basis for parsing text files formatted in HTML (`More informations: <https://docs.python.org/3/library/html.parser.html>`_)
Notes
-----
text : str
Class variable needed to parse the html string.
"""
text = ""
[docs] def handle_data(self, data):
"""This method is called to process arbitrary data (e.g. text nodes and the content of <script>...</script> and <style>...</style>).
Parameters
----------
data: str
The data to process
Returns
-------
self.text: str
The parsed data
"""
self.text += data
[docs]def processFeature(feature):
"""Cleans all string attributes by performing the followin tasks:
- Remove html directive (ex.: `<p>bla bla bla <\p>`) so that the string contains only plain text
- Replace special character (carriage return, line feed, tab) by white spaces
- Replace curly braces {} by parenthesis
- Removing front and trailing white spaces
- Replace multiple white spaces by only one white space
Parameters
----------
feature: FME feature
FME feature to process
Returns
-------
feature: FME feature
FME feature who's attributes have been processed accordingly
"""
try:
# Extract list of all attributes
list_att=feature.getAllAttributeNames()
# Loop over each attribute
for atts in list_att:
val_temp=feature.getAttribute(atts)
# Only process String attributes
if isinstance(val_temp, str):
# Remove the html directives from a string
f = HTMLFilter()
f.feed(val_temp)
val=f.text
if not val:
#remplacer par la valeur original si le texte est strippé
val=val_temp
# Reaplace some special characters by white space
val=val.replace('\n',' ') # Line feed
val=val.replace('\r',' ') # Carriage return
val=val.replace('\t',' ') # Tab character
val=val.replace('{','(')
val=val.replace('}',')')
# Strip front and trailing white spaces
val=val.lstrip(' ')
val=val.rstrip(' ')
# Replace series of white spaces by only one white space and set attribute
feature.setAttribute(atts,re.sub(r' +', ' ',val))
except:
pass


Craft and Hospitality
Founded in 2008 by Matt Higgins, Coava has had a physical presence in Southeast Portland on Grand Avenue since 2010. Expansion since then has been to another cafe on Hawthorne Avenue in addition to wholesale and online retail sales. Once you arrive at the coffee bar you will be offered a clipboard with the day’s selection of coffees listing origin and tasting notes. Coffees are divided between whether they are offered in drip or espresso methods. The highlight of choosing coffee prepared with a Chemex is the use of an Able Kone filter which was co-designed by the founder. Additionally, Coava offers cold brew and a changing selection of local pastries.
Coava’s cafes are located at:
2631 SE Hawthorne Blvd Portland, OR 97214
1300 SE Grand Ave Portland, OR 97214


Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC) and some related functions are implemented. Functions for incorporating background knowledge are provided.
| Version: | 2.6-0 |
| Depends: | R (≥ 3.0.2) |
| Imports: | stats, graphics, utils, methods, abind, graph, RBGL, igraph, ggm, corpcor, robustbase, vcd, Rcpp, bdsmatrix, sfsmisc (≥ 1.0-26), fastICA, clue, dagitty |
| LinkingTo: | Rcpp (≥ 0.11.0), RcppArmadillo, BH |
| Suggests: | MASS, Matrix, Rgraphviz, mvtnorm, huge, ggplot2 |
| Published: | 2018-06-04 |
| Author: | Markus Kalisch [aut, cre], Alain Hauser [aut], Martin Maechler [aut], Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb], Antti Hyttinen [ctb], Jonas Peters [ctb], Nicoletta Andri [ctb], Emilija Perkovic [ctb], Preetam Nandy [ctb], Philipp Ruetimann [ctb], Daniel Stekhoven [ctb], Manuel Schuerch [ctb], Marco Eigenmann [ctb] |
| Maintainer: | Markus Kalisch <kalisch at stat.math.ethz.ch> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://pcalg.r-forge.r-project.org/ |
| NeedsCompilation: | yes |
| Citation: | pcalg citation info |
| Materials: | NEWS ChangeLog |
| In views: | gR |
| CRAN checks: | pcalg results |
| Reference manual: | pcalg.pdf |
| Vignettes: |
Causal Inference: The R package pcalg Overview of the 'pcalg' Package for R |
| Package source: | pcalg_2.6-0.tar.gz |
| Windows binaries: | r-devel: pcalg_2.6-0.zip, r-release: pcalg_2.6-0.zip, r-oldrel: pcalg_2.6-0.zip |
| OS X binaries: | r-release: pcalg_2.6-0.tgz, r-oldrel: pcalg_2.6-0.tgz |
| Old sources: | pcalg archive |
| Reverse depends: | qtlnet |
| Reverse imports: | BiDAG, kpcalg, MRPC, pcgen, SID |
| Reverse suggests: | backShift, CompareCausalNetworks, iTOP, ParallelPC |
Please use the canonical form https://CRAN.R-project.org/package=pcalg to link to this page.


Among the unexplored winter destinations in Uttarakhand, Chopta is the starting point for treks to Tungnath and Chandrashila. This tiny abode is an ideal getaway for those wishing to travel on the road less taken and escape the hustle-bustle of city life.
Things to do:Trekking (Chopta Chandrashila Winter Trek), yoga, photography, birdwatching, and camping


This package contains implementations of the
{@link java.util.List List} interface.
The following implementations are provided in the package:
- TreeList - a list that is optimised for insertions and removals at any index in the list
- CursorableLinkedList - a list that can be modified while the listIterator (cursor) is being used
- NodeCachingLinkedList - a linked list that caches the storage nodes for a performance gain
The following decorators are provided in the package:
- Synchronized - synchronizes method access for multi-threaded environments
- Unmodifiable - ensures the collection cannot be altered
- Predicated - ensures that only elements that are valid according to a predicate can be added
- Typed - ensures that only elements that are of a specific type can be added
- Transformed - transforms each element added
- FixedSize - ensures that the size of the list cannot change
- Lazy - creates objects in the list on demand
- Growth - grows the list instead of erroring when set/add used with index beyond the list size
- SetUnique - a list that avoids duplicate entries like a Set


Welcome
This is the home of Pygmentify. It is a non-official GUI for Pygments, a generic syntax highlighter. Learn more about Pygments here: Official Website.Step 1: Replace with your code
Step 2: Select the language your code is written on, and click "Pygmentify"
Step 3: Copy your formmated code
FAQ
-
Can I use my own lexers and formatters?
I'm not a big fan of running untrusted 3rd party code, so I won't probably add this feature. -
When is X going to be implemented?
I'll be working on adding as much features of Pygments as I can, so be patient ;) -
How much can I use Pygmentify?
Pygmentify is intented for personal use only. Anyone abusing the page will be blocked.
So don't spam it please :) -
Do you store my code?
Nope, not a single bit of code is being stored.


Setup
Direct Controll
Status
About
Timelapse Setup
Take image every
seconds
Length
Desired Speedup
Finished length
Raw length
Direct controll


@MrGeo_Terra And with chrome extensions it is literally perfect.
The web panels are also a super big plus.


--- layout: base title: People ---
President
Computer Vision & Deep Learning
Vice president
Administrative Assistant & Treasurer
Machine Learning & Automation


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Software engineer with over a decade of experience across mobile development, web development, and systems administration.
San Francisco, CA
<EMAIL_ADDRESS>Branch Messenger
Android Lead
San Francisco, CA
December 2017 - Present
As Android lead, I am responsible for designing app architecture, development workflow, and building automated build, test, and deployment processes.
Quizlet
Software Engineer
San Francisco, CA
March 2017 - September 2017
As a member of Quizlet’s Android team, I was responsible for implementing new study modes and features to help students get an edge in their classes.
Oneteam, Inc.
Android Lead
Tokyo, Japan
March 2016 - March 2017
This position started out as a part-time remote role before transitioning to full-time onsite. I was responsible for designing the architecture for Oneteam’s mobile app and leading the project from the ground up.
8tracks
Android Lead
San Francisco, CA
January 2015 - September 2016
As the sole fulltime Android developer, I was responsible for making major architecture and design decisions for the app and its features. I also was responsible for building in support for both direct sale ads and ads provided by mediation networks to maximize mobile revenue.
Wink, Inc.
Android Engineer
San Francisco, CA
January 2014 - December 2014
As an Android engineer, I was responsibile for new feature development and building support into the Wink mobile app for various connected home devices manufactured by partner companies.
HotelTonight
Android Engineer
San Francisco, CA
June 2012 - December 2013
Working on HotelTonight’s Android team, my duties consisted of fixing bugs, implementing new features, and keeping the UX and functionality in line with both HotelTonight’s brand standards and the usability patterns expected by Android users.
Electronic Arts/Playfish
Devops Contractor
San Francisco, CA
April 2012 - June 2012
In this short-term contract position I assisted in the deployment of EA/Playfish games, troubleshooting of server infrastructure, and the development of data visualization solutions for infrastructure metrics.
Own Point of Sale
Senior Engineer/Systems Architect
San Francisco, CA
May 2011 - March 2012
As System Architect, it was my responsibility to design, document, and implement scalable solutions for both new features and problems created by a legacy codebase. This also involved a lot of architecture design and management using tools such as Amazon EC2, RightScale, and Chef. As one of the more senior engineers on the team, I was also responsible for creating, documenting, and managing developer workflow/process, as well as planning and managing software release cycles.
Converseon, Inc.
Software Engineer
Plymouth, MI
July 2010 - June 2011
Worked with a very talented team of developers to build, from the ground up, a scalable social media CRM. We managed hundreds of millions of records – from the Twitter Firehose, to Facebook posts, to message board conversations – and delivered it to clients in a manageable way. The tools we provided allowed clients to analyze social media data and engage consumers in real-time.
MS&L Digital
Web Applications Developer
Ann Arbor, MI
May 2005 - July 2010
Developed small, agile, scalable applications for projects on tight deadlines. Due to the varied nature of scope from project to project, this required me to employ every skill available to me.
Indiana Tech, Computer Science, 2004-2005
Available upon request


Getting Started
This little starter guide demonstrates the basics of setting up und running a backend, connecting a client and communication via events.
Backend
To set up a simple PyGaSe backend we will need two classes:
from pygase import GameState, Backend
First we define our initial game state:
# Let there be an imaginary enemy at position 0 with 100 health points. initial_game_state = GameState(position=0.0, hp=100)
The GameState
constructor uses keyword arguments to initialize game state attributes.
(We have to use built-in types such as int
, str
or dict
, so the game state is serializable.)
In this case our game state resembles the dict {"position": 0.0, "hp": 100}
at the start of the game.
Next we define a time step function for the game loop:
import math def time_step(game_state, dt): # Make the imaginary enemy move in sinuous lines like a drunkard. new_position = game_state.position + math.sin(dt) return {"position": new_position}
The time_step
function represents one iteration of the game loop and takes the current game_state
as an argument,
in order to return a dict
containing all the changes to the game state. By default it will be called 50 times per
second (or once every 0.02 seconds, respectively). However, the actual interval may turn out somewhat longer and differ
from time to time, which is why the time step function also gets the time since the last time step in seconds (dt
).
In this example our game loop will have the enemies position
continously oscillating between -1.0 and 1.0.
The backend should always have authority over the game logic and be the single point of truth for the shared state. It might however be beneficial to performance and a smooth feel of a game to pre-compute some game logic client-side and only validate it in the backend.
Now we can initialize and run the backend:
backend = Backend(initial_game_state, time_step) backend.run('localhost', 8080)
Mind that this run
call is blocking, so whatever we put after there will not be executed
until the backend is shut down again.
Put all together, our first super simple PyGaSe backend looks like this:
# backend.py import math from pygase import GameState, Backend # Let there be an imaginary enemy at position 0 with 100 health points. initial_game_state = GameState(position=0, hp=100) def time_step(game_state, dt): # Make the imaginary enemy move in sinuous lines like a drunkard. new_position = game_state.position + math.sin(dt) return {"position": new_position} backend = Backend(initial_game_state, time_step) backend.run('localhost', 8080)
Client
If we run python backend.py
it starts a server that just sits there until we terminate the python process.
To interact with it we could connect a client in an interactive python session in another console window:
>>> from pygase import Client >>> client = Client() >>> client.connect_in_thread(port=8080) <Thread(Thread-1, started 24096)> >>> with client.access_game_state() as game_state: ... print(game_state.position) ... print(game_state.hp) ... 0.7904802223420048 100 >>> with client.access_game_state() as game_state: ... print(game_state.position) ... -0.29265129683264307 >>>
We have to connect in a thread here, because a blocking Client.connect()
call would have made it impossible
to interact with the client in the same terminal session. We have to access the game state in a with
block like
this to ensure that the client is not updating it as we use it. But we also have to be careful not to leave this
with
block unterminated indefinitely, which would block the client from synchronizing the game state.
However, reading only is a rather one-sided kind of interaction. To have the client talk to the backend we will
use events.
Events
First we need to register an event handler on the backend side or the event will do nothing:
# A client might choose to attack the drunken master. def on_attack(attack_position, game_state, **kwargs): # Check if the attack landed near enough to hit. if abs(attack_position - game_state.position) < 0.1: print("Hit!") # Subtract the attacks damage from the enemies health. return {"hp": game_state.hp - 10} print("Missed.") return {} backend = Backend( initial_game_state, time_step, event_handlers={"ATTACK": on_attack} ) backend.run('localhost', 8080)
The event handler function on_attack
works similar to the time step function, only that it receives additional
keyword arguments like the current game_state
in this case or the attack_position
, which we assume to be attached
to the event by the client.
Having extended the backend like this we can now restart it and try out the event in a client terminal session:
>>> client.dispatch_event("ATTACK", attack_position=0.5) >>> with client.access_game_state() as game_state: ... print(game_state.position) ... print(game_state.hp) ... -0.1760756199485871 100 >>> client.dispatch_event("ATTACK", attack_position=0.5) >>> with client.access_game_state() as game_state: ... print(game_state.hp) ... 100 >>> client.dispatch_event("ATTACK", attack_position=0.5) >>> client.dispatch_event("ATTACK", attack_position=0.5) >>> with client.access_game_state() as game_state: ... print(game_state.hp) ... 90 >>>
This is me trying repeadedly to land a hit on position 0.5. If you look at the console output of the backend process, you might see something like this:
Missed. Missed. Hit! Missed.
It's not very practical to have to switch the console windows, it would be better if the client received some feedback after an attack. Events can also flow from backend to client, which works pretty much the same way as the other way around.
First we adjust the backends attack event handler to send back a feedback event:
backend = Backend(initial_game_state, time_step) # A client might choose to attack the drunken master. def on_attack(attack_position, client_address, game_state, **kwargs): # Check if the attack landed near enough to hit. if abs(attack_position - game_state.position) < 0.1: backend.server.dispatch_event("ATTACK_FEEDBACK", "Hit!", target_client=client_address) # Subtract the attacks damage from the enemies health. return {"hp": game_state.hp - 10} backend.server.dispatch_event("ATTACK_FEEDBACK", "Missed.", target_client=client_address) return {} backend.game_state_machine.register_event_handler("ATTACK", on_attack) backend.run('localhost', 8080)
Here we used another one of the keyword arguments PyGaSe passes to the event handler, the client_address
from which the event was sent. Along with the event data, a string containing the feedback message, we also
set the target client for our event. The default for target_client
is "all"
which broadcasts the event.
As you can see, the dispatch_event
method we used is not a member of backend
but of backend.server
and register_event_handler
is a member of backend.game_state_machine
.
In fact, a PyGaSe backend consists of three main components:
- A Server
that deals with connected clients.
- A GameStateStore
which is where the backend keeps track of the state.
- A GameStateMachine
that runs the whole game logic simulation and produces state updates.
Now we only need to register an appropriate event handler on the client side:
>>> client.register_event_handler("ATTACK_FEEDBACK", print) >>> client.dispatch_event("ATTACK", attack_position=0.5) Missed. >>> client.dispatch_event("ATTACK", attack_position=0.5) Missed. >>> for i in range(5): ... client.dispatch_event("ATTACK", attack_position=i*2.0/5-1) ... Missed. Hit! Missed. Missed. Missed.
Much better. We get direct feedback and even found an exploit that allows us to land a guaranteed hit
by using a for
loop. Registering the built-in function print
as the event handler callback works in this case,
because the handler only receives one argument: the string that the backend attached to the event in
backend.server.dispatch_event()
.
A proper client for this game, with a UI and everything, would probably not allow to send attack events in such a way.
Still, this is how cheats and hacks find their way into an online game, which is why the backend should
validate some of the events it gets. In this case for example, it might check if ATTACK
events are coming in at an
unreasonably high frequency.
Conclusion
Up to now we had to nastily interrupt the backend process and the client thread by hand in order to end a session. Of course we can also properly terminate everything, for example with
>>> client.disconnect(shutdown_server=True)
in the client terminal session. Only the first player to connect will have the permission to shutdown the server
like this. The backend can also shut itself down with backend.shutdown()
.
To conclude the conclusion:
We have set up a small PyGaSe backend that simulates a moving enemy and handles attack events.
Right now, the enemy would never die and its hp
would just go into the negative numbers after you hit zero.
So good next steps might be to implement a way for this game to end by defeating the drunken master or maybe have
the enemy defend itself. Also, a graphical UI wouldn't hurt (I recommend the awesome
Arcade library for this).
To see how this might be done with PyGaSe you can look through the API reference here or you can take a peek into this little example game of tag, which uses PyGaSe and pygame.
For the sake of completeness:
# backend.py import math from pygase import GameState, Backend ### SETUP ### # Let there be an imaginary enemy at position 0 with 100 health points. initial_game_state = GameState(position=0, hp=100) # Define what happens in an iteration of the game loop. def time_step(game_state, dt): # Make the imaginary enemy move in sinuous lines like a drunkard. new_position = game_state.position + math.sin(dt) return {"position": new_position} # Create the backend. backend = Backend(initial_game_state, time_step) ### EVENT HANDLERS ### def on_attack(attack_position, client_address, game_state, **kwargs): # Check if the attack landed near enough to hit. if abs(attack_position - game_state.position) < 0.1: backend.server.dispatch_event("ATTACK_FEEDBACK", "Hit!", target_client=client_address) # Subtract the attacks damage from the enemies health. return {"hp": game_state.hp - 10} backend.server.dispatch_event("ATTACK_FEEDBACK", "Missed.", target_client=client_address) return {} backend.game_state_machine.register_event_handler("ATTACK", on_attack) ### MAIN PROCESS ### if __name__ == "__main__": backend.run('localhost', 8080)


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Reset Auto reduction Solve
(To change the puzzle, generate a puzzle using the upstream game and copy-paste the URL hash fragment here.)


A bit more social...
Today, we have release version 0.5. This version makes Ligues.ca a bit more social because we added Facebook Connect and a tool to share stuff with your friends on del.icio.us, Facebook and Twitter.
A bit more social...
Facebook Connect gives you the ability to use your Facebook’s account as login on Ligues.ca. To connect with Facebook, click on “F Connect” button in the login page. Soon, we will add a Facebook Application. With this application, you will be able to see your Ligues.ca’s profile (activities, schedule and more). While you are logged in with Facebook, you can share photos, news, games’ summary, forum’s topics and events on Facebook without leaving Ligues.ca by clicking “Facebook” button on the share tool.
Divisions
We also added Divisions. So you can divide your teams per division. Check out our demo to see an example.
Search improvment
Search has been improved. If you search a name without selecting it in the suggestions list, we show you a page listing all players that match your search criteria.
If you’d like to file a support issue, or start a discussion, click on the contact us link in the footer or click on the feedback button in the right side.
Widgetify!
Everybody who own a website will be able to show teams’ standing nor top players list on it by including a simple Javascript widget. Both widgets are configurable. You will be able to change limit of teams to show (or players) and activate or not default CSS stylesheet.
Read →


A slender and quippy gearhead. She is always fixing and selling Lefty’s gear or whatever he finds in the zone that may have value. Lefty needs to protect her.
 Corny feels Dingus is the only one lower than him on the totem pole, but in reality, this is not the case. Dingus is actually quite wise and is sometimes surprisingly prophetic, however the delivery and the presentation of his wisdom make it sound like crazy homeless person talk. It’s only later after people have had a chance to think about it where the realize how accurate his statements were. Corny needs to protect him.
A small, weak, pathetic mutant who seemingly cannot provide for herself, but is so helpless in her appearance that the other mutants can’t help but aid her, especially Pavlovena. Avian trades stories in exchange for this help. Pavlovena needs to protect her (and she hates every minute of it)
A chronicaller who values rules and structure and moderates the community of the ark too closely. Spitfire is much like the president of an asinine HOA. Lefty hates him.
A fixer who is cool, swave, tall, and handsome. There is seemingly no deal that he cannot make, and he puts Corny to shame in more ways than one. Corny hates him.
An enforcer who is toxic masculinity in corporeal form. Brent is all id and frontal lobe aggression. He values his pride (which he doesn’t have much of, but he really thinks he does). Pavlovena hates him.


With CSV file (first row must be headers)
Download CSV file (this is expensive)
View and edit user details
View submission results
Time for paperwork! it's better because it's digital...
If you previously requested a submission dowload
you can access them here until deleted (after 24 hours)


Logging
| REACH | ALL | BY DIVISION | BY STACK |
|---|---|---|---|
| LEADS | Mng Application Performance |
Logs play an important role in development, allowing Developers and DevOps to diagnose problems in an application before and after a release; it allows Cyber to inspect and analyse behaviour and help build metrics to ascertain platform health. A strong logging strategy should be considered pivotal to the success of your application.
Note: No PI data should every be stored in logs
Logging Traffic Lights
Aside from standard diagnosing application issues, logging hooks should be written into your application from which to build monitoring and alerting. Logging events should be based upon a traffic light principle.
-
Red (fatal & error): fatal or unexpected values in the application. Example: the application encounters an error which is preventing a particular request from completing
-
Amber (warn): exceptions or unusual behaviour that may forebode future failure. Example: object detects inconsistency within an external data feed and it performs a corrective action to compensate for it.
-
Green (info & trace): log key events in the system or user journey to demonstrate application health. Example: registration, booking and confirmation in a booking flow
Logging Standard
We recommend you use the following logging standard in a key/value pair that is easily searchable in Splunk.
-
Timestamp: Date and time in UTC ISO8601 e.g. 20180915T155300
-
Correlation id: e.g. session id
-
Action: e.g. "GET /libs/granite/csrf/token.json HTTP/1.1"
-
Status: in http error format e.g. 200
-
Reason: human readable reason
-
Level: e.g. INFO
-
Message: The stack trace
Logging Levels
-
FATAL: Events that indicate problems requiring immediate attention. There may be different criticality of errors. The assumption at this point is that the alarming built in to Splunk will be configured to reflect.
-
ERROR: Unhandled events that provide forewarning of potential problems. This level should be used to log unhandled exceptions which are caught by a catch block at the boundary of the application which catches all occurring exceptions that have not been handled by other exception handlers.
-
WARN: Handled events that provide forewarning of potential problems; although not a response to an actual error, a warning indicates that a component or application is not in an ideal state and that some further actions could result in a critical error. This level should be used for handled exceptions. For example the application requires a configuration setting but has a default in case the setting is missing.
-
INFO: All events which are required for audit purposes
-
DEBUG: Events that perform "normal operations", e.g. mail sent, user updated profile etc.
-
TRACE: All other events:
-
Executed queries, user authentication, session expired messages
-
Begin method X, end method X etc.
-
Any event that could help with debugging
-
Note: To meet audit requirements the default setting should be level INFO.


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Editor's primary use is as an Editor for DataTables, however, it can also be used as standalone form editor, which can be very useful for both single dimension configuration parameters (i.e. those that don't directly lend themselves to display in a table) and also as a collection editor. This ensures a consistent interface for your end users in their form editing, and for you in your development API.
The examples in this section show how Editor can be used in its standalone mode.


|
|
OPENSEQ (short for open sequence) was created with the intent of providing an open platform to share sequence based analysis to the public.
- Our first project includes constructing a maximum entropy statistical model to describe each protein familiy in the Pfam database. The model captures both conservation and co-evolution patterns in the family. The strength of measured co-evolution is strongly predictive of residue-residue contacts in the 3D structure of the protein. This means that we can use this information to better understand contacts in known structures and make prediction of contacts for protein families that have no structure. (Image on the left shows the ND1 protein of the electron transport chain with predicted contacts in yellow).
- The work done here is the result of students and computing power of Prof. David Baker's Lab, though we would also like to thank the developers of HHsuite, HMMER and folks that maintain the Pfam, PDB and UniProt databases.
|
|
| May 11, 2014 |
Update on Complexes
- We've added support for Jackhmmer on our complexes web-server. You can see the technical details of how exactly we implemented it to do paired-alignment generation in the techincail details of our FAQ. The advantages/disadvantages of using Jackhmmer are described April 04, 2014 (below).
- Since our publication: a similar, independent and very cool study has recently been posted to bioRxiv by Hopt et al (folks at evfold.org)
- Sequence co-evolution gives 3D contacts and structures of protein complexes [LINK] [PDF]
- We are working on making all the scripts we used in our recent study human_friendly. All scripts involved in alignment generation + GREMLIN analysis have already been posted in the FAQ section.
|
| May 01, 2014 |
Complex Prediction!
- Early version of our paper is out showing we can predict protein-protein (residue-residue) interactions using co-evolution data. [LINK][PDF]
- We've uploaded all of our results and alignments online for your viewing pleasure. =]
- We also have a beta webserver that will generate paired alignments for a given protein pair and run the GREMLIN analysis. If you encounter any error or have suggestions, please use our contact form!
CASP11 starts TODAY!!
- CASP11 is going to be the era of "contact prediction" every group has some kind of contact predictor in their pipeline. To make things easier for folks interested in using GREMLIN results in CASP, casp sequences submitted will automatically be organized in our CASP11 page. Good luck!!
|
| April 04, 2014 |
Some updates to the submission page:
- We've added support for Jackhmmer (from HMMER) for multiple sequence alignment generation.
- Disadvantge: It is slower than HHblit, since Jackhmmer does not use the pre-clustered uniprot database.
- Advantage: Since Jackhmmer does not require a pre-clustered uniprot DB (which is updated once a year), it can use the latest uniprot release (which is updated once a month).
- If your favorite gene does not have enough homologous sequences to perform co-evolution analysis, you can try resubmitting the gene every month until it does! =P
- For those of you interested in using co-evolution based contacts in Rosetta modeling software, restraint files are now provided for each submission. We also provide a realignment and renumbering tool, for those using the restraints for a sequence longer or shorter than the original query.
|
| February 16, 2014 |
Some exciting new features have been added to the submissions output page! All previous submissions have been updated.
- We've been working on adding homooligomer support. When you submit a job, contacts coming from other chains will now be highlighted in shades of red. The max hhsearch contact will now be shown instead of the average (being either an intra, inter chain contact, or coming from a different pdb hit.)
- Each PDB hit now has its own contact map, that you can click on.
- We ran GREMLIN on all E. coli genes that have at least 1L sequences. I am working on creating a pretty intro page, but in the meantime you can see a sneak preview here: ECOLI
|
| September 14, 2013 |
- It's very exciting to see folks submitting jobs to the server (We apologize to those that submitted sequences that are ~1000 amino acids, those can take up to 24 hours to complete...). We've been fixing little bugs as they come up, if you encounter any errors or the output of the results page does not make sense, please write to us!
- We now include a sequence conservation graphic as depicted by WebLogo, for all our submissions. These can be useful because:
- A mutation to a functionally important residue will not be selected for, if it cannot be easily compensated by a co-mutation, and thus will not be observed in a multiple sequence alignment, hence not be captured by a co-evolution analysis.
- What may appear to be an highly variable/un-conserved position, (based on a WebLogo representation), may actually be highly conserved and co-evolving with another position [as would be captured in the GREMLIN output].
|
| September 3, 2013 |
- We are excited to announce that the paper describing our latest work has been released in PNAS! [LINK][PDF]
- A simplified version of the webpage is now available at gremlin.bakerlab.org that will only include the pfam analysis and gremlin submission form. This is to prevent information overload for folks accessing the resource for the first time, as we continue to add other resources to openseq.org.
|
| August 23, 2013 |
- The online server has been updated to include more options, and to make resubmission process much easier. Options include:
- The ability to submit either a single sequence or a starting alignment.
- Control diversity of the alignment, by adjusting number of iterations and e-value.
- Focus on region of interest, by adjusting the coverage and gap removal filters.
- We are working on adding the ability to select priors! Right now only the "Vanilla" option works.
- The FAQ page is now live! Its hard to judge what is common knowledge and what is new to our users. Please help improve this page by submitting questions using our contact form! (Even if its a question to which you already know the answer to, but you feel others might benefit.)
|
| August 5, 2013 |
- We are working on setting up an online server for GREMLIN co-evolution analysis. The server is in BETA mode, any suggestions are welcome as we prep for public release!
|
| July 30, 2013 |
- Predictions for 2013 should be done. We are keeping the 2012 predictions for archive purposes.
- We are in the process of uploading alignments used in our calculations. Note: for gremlin runs we removed sites that had > 75% gaps, provided alignment includes these sites.
|
| July 24, 2013 |
- We are updating our predictions to reflect new sequences that have been released since 2012. When you click on any of the pfams, you'll see a "2013" tab. The calculations are running and will be uploaded as they come in. Eventually the lists will be replaced with these new calculations.
- We welcome any suggestions as we prep this webpage for public release.
|
- "Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information."
Sergey Ovchinnikov, Hetunandan Kamisetty, and David Baker.
Elife (2014). [LINK][PDF]
- "Assessing the utility of coevolution-based residue–residue contact predictions in a sequence-and structure-rich era."
Hetunandan Kamisetty, Sergey Ovchinnikov, and David Baker.
Proceedings of the National Academy of Sciences 110, no. 39 (2013): 15674-15679. [LINK][PDF]
- "Learning generative models for protein fold families."
Sivaraman Balakrishnan, Hetunandan Kamisetty, Jaime G. Carbonell, Su-In Lee, and Christopher James Langmead.
Proteins: Structure, Function, and Bioinformatics 79, no. 4 (2011): 1061-1078. [LINK][PDF]
|


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Bring the palm sugar, fish sauce and coconut milk to the boil in a pan.
Reduce the heat until the mixture is simmering. Add the chicken thighs and poach in the liquid for 4-5 minutes, or until the chicken is just cooked through. (NB: The chicken is cooked through if the juices run clear when a skewer is inserted into the thickest part.) Remove the chicken thighs from the cooking liquid using a slotted spoon and pat dry with kitchen paper. Reserve the cooking liquid.
Heat a griddle pan over a high heat. Add the poached chicken and cook for 3-4 minutes, turning regularly, until golden-brown griddle marks appear on all sides. Set aside.
Meanwhile, return the cooking liquid to the heat and bring to the boil. Continue to boil for 1-2 minutes, then transfer the cooking liquid to a bowl and place the bowl into a sink or large dish filled with ice, if using, or filled with cold water.
Add the sliced lime leaves to the hot coconut milk and whisk until the liquid has cooled and the lime leaves are fragrant.
In a separate bowl, mix together the shallots, pepper, chillies and cucumber until well combined.
Add one tablespoon of the coconut and lime mixture to the salad and mix to coat the ingredients in the dressing.
When the chicken thighs are cool enough to handle, slice the meat into strips and add to the salad. Mix to combine.
Add the herbs and mix well to combine.
To serve, mix the teaspoon of vegetable oil with one teaspoon of water. Brush the squares of banana leaf with this mixture. Place one square of banana leaf into the centre of each of four serving plates. Divide the chicken salad equally among the squares of banana leaf. Drizzle over a little of the remaining coconut and lime dressing. Sprinkle over the peanuts and the coconut, if using.


This extension provides a similar but extended version of the Burp Suite macro feature.
The main functionality is that you are able to trigger one or more requests before every request made by Intruder, Repeater, Scanner, Sequencer or Spider. You can extract data from an arbitrary response and replace or add data to the following request (replace CSRF token, session, add new header, etc.).


About Me
I am a second-year Ph.D. student at the computer science department of the University of California, Irvine. I am a member of the Dutt Research Group, advised by professor Nikil Dutt. Before starting the long-term journey toward a doctoral degree, I got the B.S. and M.S. degrees at the computer science department of Kookmin University. Currently, my research interest is optimizing memory and I/O paths in the operating systems within diverse environments, including Ultra-low latency devices, ZNS, and CXL. Also, I was interested in applying machine learning techniques for multi-layered systems. I am always satisfied with myself when I see something I make, fix, or automate.
Projects
Optimizing polling based I/O completion mechanism
Dealing tradeoff between cpu consumption versus I/O performance
Linux operating system using interrupt-based I/O completion method. However, this completion method includes constant operating overhead. These tiny overheads were not that important overhead in the before the era when the disk device was not that fast, unlike current Ultra-low latency devices. So, we are working on how we can do better than the current interrupt-based I/O completion methodology using by polling-based one.
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Experience
Short description of the company (optional)
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Education
University of California, Irvine
Doctoral degree
2021 - current
Description of qualification
Kookmin University
Master degree
2017 - 2020
Description of qualification
Kookmin University
Bachelor degree
2011 - 2017
Description of qualification
A Little More About Me
This is where you can write a little more about yourself. You could title this section Interests and include some of your other interests.
Or you could title it Skills and write a bit more about things that make you more desirable, like leadership or teamwork


| dbWriteTable {DBI} | R Documentation |
Writes, overwrites or appends a data frame to a database table, optionally
converting row names to a column and specifying SQL data types for fields.
New code should prefer dbCreateTable()
and dbAppendTable()
.
dbWriteTable(conn, name, value, ...)
conn |
A DBIConnection object, as returned by
|
name |
A character string specifying the unquoted DBMS table name,
or the result of a call to |
value |
a data.frame (or coercible to data.frame). |
... |
Other parameters passed on to methods. |
dbWriteTable()
returns TRUE
, invisibly.
If the table exists, and both append
and overwrite
arguments are unset,
or append = TRUE
and the data frame with the new data has different
column names,
an error is raised; the remote table remains unchanged.
An error is raised when calling this method for a closed
or invalid connection.
An error is also raised
if name
cannot be processed with dbQuoteIdentifier()
or if this results in a non-scalar.
Invalid values for the additional arguments row.names
,
overwrite
, append
, field.types
, and temporary
(non-scalars,
unsupported data types,
NA
,
incompatible values,
duplicate
or missing names,
incompatible columns)
also raise an error.
The following arguments are not part of the dbWriteTable()
generic
(to improve compatibility across backends)
but are part of the DBI specification:
row.names
(default: FALSE
)
overwrite
(default: FALSE
)
append
(default: FALSE
)
field.types
(default: NULL
)
temporary
(default: FALSE
)
They must be provided as named arguments. See the "Specification" and "Value" sections for details on their usage.
The name
argument is processed as follows,
to support databases that allow non-syntactic names for their objects:
If an unquoted table name as string: dbWriteTable()
will do the quoting,
perhaps by calling dbQuoteIdentifier(conn, x = name)
If the result of a call to dbQuoteIdentifier()
: no more quoting is done
If the overwrite
argument is TRUE
, an existing table of the same name
will be overwritten.
This argument doesn't change behavior if the table does not exist yet.
If the append
argument is TRUE
, the rows in an existing table are
preserved, and the new data are appended.
If the table doesn't exist yet, it is created.
If the temporary
argument is TRUE
, the table is not available in a
second connection and is gone after reconnecting.
Not all backends support this argument.
A regular, non-temporary table is visible in a second connection
and after reconnecting to the database.
SQL keywords can be used freely in table names, column names, and data. Quotes, commas, and spaces can also be used in the data, and, if the database supports non-syntactic identifiers, also for table names and column names.
The following data types must be supported at least,
and be read identically with dbReadTable()
:
integer
numeric
(the behavior for Inf
and NaN
is not specified)
logical
NA
as NULL
64-bit values (using "bigint"
as field type); the result can be
converted to a numeric, which may lose precision,
converted a character vector, which gives the full decimal representation
written to another table and read again unchanged
character (in both UTF-8 and native encodings), supporting empty strings before and after a non-empty string
factor (returned as character)
list of raw (if supported by the database)
objects of type blob::blob (if supported by the database)
date
(if supported by the database;
returned as Date
)
time
(if supported by the database;
returned as objects that inherit from difftime
)
timestamp
(if supported by the database;
returned as POSIXct
respecting the time zone but not necessarily preserving the
input time zone)
Mixing column types in the same table is supported.
The field.types
argument must be a named character vector with at most
one entry for each column.
It indicates the SQL data type to be used for a new column.
If a column is missed from field.types
, the type is inferred
from the input data with dbDataType()
.
The interpretation of rownames depends on the row.names
argument,
see sqlRownamesToColumn()
for details:
If FALSE
or NULL
, row names are ignored.
If TRUE
, row names are converted to a column named "row_names",
even if the input data frame only has natural row names from 1 to nrow(...)
.
If NA
, a column named "row_names" is created if the data has custom row names,
no extra column is created in the case of natural row names.
If a string, this specifies the name of the column in the remote table that contains the row names, even if the input data frame only has natural row names.
The default is row.names = FALSE
.
Other DBIConnection generics:
DBIConnection-class
,
dbAppendTable()
,
dbCreateTable()
,
dbDataType()
,
dbDisconnect()
,
dbExecute()
,
dbExistsTable()
,
dbGetException()
,
dbGetInfo()
,
dbGetQuery()
,
dbIsReadOnly()
,
dbIsValid()
,
dbListFields()
,
dbListObjects()
,
dbListResults()
,
dbListTables()
,
dbReadTable()
,
dbRemoveTable()
,
dbSendQuery()
,
dbSendStatement()
con <- dbConnect(RSQLite::SQLite(), ":memory:") dbWriteTable(con, "mtcars", mtcars[1:5, ]) dbReadTable(con, "mtcars") dbWriteTable(con, "mtcars", mtcars[6:10, ], append = TRUE) dbReadTable(con, "mtcars") dbWriteTable(con, "mtcars", mtcars[1:10, ], overwrite = TRUE) dbReadTable(con, "mtcars") # No row names dbWriteTable(con, "mtcars", mtcars[1:10, ], overwrite = TRUE, row.names = FALSE) dbReadTable(con, "mtcars")


Unknown Transport
Controls
Connect
Disconnect
Clear
From IAsyncEnumerable
From Observable
From Channel
Results


rget(r, @optional timeout, default = false)
Return the object bound to the reactive variable r
.
If timeout
is not specified, rget
will wait till the reactive variable is bound by another task.
If timeout
is specified and the variable is not bound within it runs-out, rget
will return
the value of default
. If there are no other tasks running this function will raise
a "Deadlock detected" error.
The ?r
syntax has the same semantics as rget
with no
timeout
specified.
let x = ?
!{task_sleep(5); ?x = 100}
rget(x, 2) // wait for 2 seconds
// false
rget(x, 4) // wait for another 4 seconds, `x` should be bound by now.
// 100


4 years ago an optician fell from a balcony of a nightclub and ended up paralysed due to damage on his spinal cord, After the 15m fall he spent the next two years of his life in a hospital until in 2017 he agreed to take part in an exoskeleton trial with clinatec and the univeristy of grenoble. To begin he practiced using brain implants to control a virtual charager in a video game, and once he had enough practise doing this he began to use the suit.
Researchers are saying that movemenetsm, particularly walking, is far from perfect and the suit is currently only being used in a lab, however they believe the approach could massively improve patients quality of life
The man had surgery to place two implants on the surface of the brain, covering the parts of the brain that control movement along with sixty-four electrodes on each implant in order to read the brain activity and deliver instructions to a nearby computers.
LINK BACK TO HOME PAGE


&$556;
Fortress North Gate
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Inside the Garden of Eva - 500
The Center of Alligator Island - 500
Dragon Valley - 500
Tanor Canyon - 500


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Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 4
Have your friends guessing what the secret ingredient is in the glaze for this pork recipe at your next dinner party!
For the belly of pork, preheat the oven to 150C/300F/Gas 2.
Place the pork belly in a deep roasting tin and pour over the chicken stock – it should come about half-way up the pork belly.
Scatter over the spices, cover the tin with aluminium foil and cook in the oven for 2-4 hours, or until very tender.
Remove from the oven, drain off the liquid and let the meat cool completely.
For the blueberry molasses, place the blueberries and water in a food processor or blender and blend to a purée.
Place the purée in a saucepan and add the sugar, lemon and chilli flakes. Bring to a boil and simmer for 40-60 minutes, or until the mixture becomes thick and syrupy. Season with salt and freshly ground black pepper, adding more chilli if you like a little more spice.
Preheat the oven to 240C/475F/Gas 9.  Place the pork in a clean roasting tin and glaze the top and side of the meat with the blueberry molasses.
Place the pork in the oven for 5-6 minutes, or until the top is caramelised and slightly crisp.
For the salad, whip the feta, yoghurt and ground cumin together in a bowl. Season with salt and freshly ground black pepper then place in a clean bowl with the salad leaves. Mix well, then sprinkle with the cumin and sesame seeds.
Cut the pork into squares and serve with the salad.


Can you recall what did Facebook’s design look like on its onset, some decade and a half ago? By contemporary standards — not very flattering. So, if you happen to come across such website design today, admit it, you’d probably vamoose right away.
Staying in the loop when it comes to the latest design trends is beneficial whether you’re a professional web designer, an industry rookie, or an entrepreneur who wishes its business website to ooze quality.
Besides, incorporating the latest and hottest web design trends will guarantee your website to look modern, updated, and actually taken care of — a big plus when it comes to leaving the impression of reliability in your clients’ eyes.
Dark mode swept the online world off its feet flat-out, with top apps and websites such as Facebook Messenger, YouTube, Instagram, Viber, WhatsApp, and Chrome, as well as the latest releases of Android and Apple operating systems, turning the lights off one after another.
Comments


../ page-created/ page-deleted/ page-expired/ page-marked-as-draft/ page-marked-as-pending/ page-published/ page-renamed/ page-scheduled/ page-unpublished/ page-updated/


--- layout: page ---
The project is currently in intense development. Get in touch with us if you want to contribute.


StopTestFixture is a fixture with helper methods to allow a test to be aborted in certain cases.
Sometimes (in larger test) there is no use in continuing the rest of the test if certain basic checks at the start are not met. This fixture allows a test to be stopped in such cases.
Basic commands are shown in the first table below. The next tables give an idea of more realistic usage.
| script | stop test fixture | ||
| stop test if | Bye | is | Hello |
| stop test if | Hello | is not | Hello |
The expected use is that some other fixture is used (in a script) to assign the outcome of a measurement to a variable. The contents of this variable can the be checked using StopTestFixture, and if the value does not meet the expectation the execution of the rest of the page is skipped.
| script | string fixture | |||||
| $myResponseCode<-[Hallo] | value of | Hallo | ||||
| $myResponse<-[H] | replace all | [a-z]* | in | Hallo | with | |
| $myInt<-[100] | convert to int | 100 |
| script | stop test fixture | ||
| stop test if | $myResponseCode->[Hallo] | is not | Hallo |
| stop test if | $myResponse->[H] | is | B |
| stop test if | $myInt->[100] | is not | 100 |


{% extends "base_generic.html" %}
{% block title %}About{% endblock %}
{% block content %}
Any data provided to MELODI is stored and controlled by the University of Bristol only and not passed on to any third party.
User data is requested to enhance the usability of the site and not for any commercial purposes. User accounts are generated solely to provide a user specific analysis environment and improve user experience. User accounts are handled through the Google OAuth protocol and passwords are encrypted. Any data associated with the creation and analysis of article sets is private unless shared, held in a secure database, and accessible only to the MELODI administrator.


Curb Your Enthusiasm’s Jeff Garlin reveals an air date for the show’s next season
Pretty, pretty, pretty good
Curb Your Enthusiasm will return for its tenth season in January, one of the show’s stars has confirmed.
Jeff Garlin, who plays Larry David’s trainwreck manager Jeff Greene, posted a picture of himself and David in the show, along with a teaser for his new Netflix comedy special.
The cult HBO show, which stars Seinfeld creator Larry David as a fictionalised version of himself, premiered in 2000. It returned to screens in 2017 for season 9 following a six-year absence.
After being commissioned for a tenth instalment shortly afterward, it was confirmed in October 2018 that production had finally begun. No plot details or further information were shared.
In summer Collider reported that Curb that David’s schedule was the reason for the season’s lengthy delay, as well as suggestions that HBO could be holding new episodes back because the network wants to wait until Emmy voting season next spring.
Speaking of the upcoming series in 2017, David said: “As I’ve said many times, when one has the opportunity to annoy someone, one should do so.”
According to reports earlier this year, Wilco‘s Jeff Tweedy, said to be close friends with Garlin, is set to appear in the upcoming season.
Season ten will air without fan favourite Bob Einstein, however. The actor, best known for his role as Curb‘s Marty Funkhouser, passed away earlier this year.


WITNESS LIST Business & Commerce Committee February 13, 2001 - 9:00A SB 272 Registering, but not testifying: For: Leal, Jr, Joe (Texas Financial Services Association), Heath, TX Against: Schneider, Rob (Consumers Union), Austin, TX On: Pettijohn, Leslie (Consumer Credit Commissioner), Austin, TX Scruggs, Ken (Household Financial Group (HFC, Beneficial)), Glendale, AZ SB 414 FOR: Davis, Will (USAA, Texas Association of Life and Health Insurers), Austin, TX Gilbert, Bo (Independent Insurance Agents of Texas), Austin, TX Tooley, Kenneth (Texas Association of Insurance and Financial Advisors), Austin, TX Registering, but not testifying: For: Huxel, Robert (Farmers Insurance Group), Austin, TX Midence, Yuniedth (Gulf States Financial Services), Austin, TX Neeley, Karen (Independant Bankers Association of Texas), Austin, TX Vane, Mark (Texas Surplus Lines Association), Austin, TX SB 433 Registering, but not testifying: For: Val Perkins, Arthur (Texas Business Law Foundation), Houston, TX On: Neeley, Karen (Business Law Foundation), Austin, TX SB 466 ON: Schneider, Rob (Consumers Union), Austin, TX Registering, but not testifying: For: Burner, Burnie (Lolline), Austin, TX Hill, Holli (Cingular), Austin, TX


{% extends "split_page.html" %} {% block left %}
Create a set of things to be voted on. Paintings, science fair projects, cookies, anything!
We make it simple to print one barcode (specifically, a QR Code) for each item in your set.
Display your new QR codes and tell people to scan them with their phones. One scan = one vote!


Analysing...
UP
DL
Score:...
...WPM
Acc....%
Time: ...
... types
... typos
WPM
tip:
...WPM
weak...
strong...
Accuracy
tip:
Acc....%
weak...
strong...


I'm customising the code in emonTH and trying to better understand a few parts of it. Line 111 from the current code caught my eye:
if (Serial) debug = 1; else debug=0;
I'd never seen this used before, so looked into it and couldn't see how it worked, so I wrote a sketch to try it out. Indeed, it doesn't seem to work - it always returns true it seems.
Am I missing something?
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
How are you testing this?
I think I know how it should work, and what you're missing is no serial monitor. According to the language: "boolean : returns true if the specified serial port is available.". So it should prevent writing debug information to the serial port if the serial port is not available. But if you're monitoring on the serial port....
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
I'm monitoring a pin that I am toggling.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
I think the short answer is that it doesn't seem to work.
Each time it sends data, it outputs ~50 characters to Serial, which in turn means that 50*8/9600 = 0.04s is spent sending the data.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
It doesn't work on my emonTH units. I discovered this because I wrap my LED pulses in if(debug) statements... then noticed it would still flash away happily when I plugged the batteries in!
IOW, if(Serial) is always true, whether or not anything is plugged into the serial pins.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
Yes, if you look in HardwareSerial.h:
I think that all that it will do is either exist or not-exist i.e. if the hardware didn't support Serial it might not compile.
I think this might have a significant impact on battery usage.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
As you found, if(Serial) is just a test if a serial port is available on that hardware (and this will never change on a given hardware). How should it work instead? It would be necessary to test communication with an external host to know that 'something' is connected to the serial port externally.
I have always removed all this 'serial' stuff from low power code. Why not simply use a define like _UseSerial or directly #define debug?
PS: this might be different on a Leonardo, where an existing USB connection can be clearly detected.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
It's an odd way to detect the hardware though, as it will produced a compile time error if the hardware isn't present i.e. the debug = 1/0 will never actually be used.
How should it work? For most of my projects I wait a few seconds at startup and if I detect any serial input, I switch debug output on.
It's not my code, so I was curious about this construct I had never seen before.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
Good point regarding the serial printing.
I have updated the code on GitHub to have debug turned off by default. The .hex file has also been updated. All the emonTH sold through the shop will have debug turned off by default to improve battery life.
https://github.com/openenergymonitor/emonTH/tree/master/emonTH_DHT22_DS1...
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
Glyn - on a lot of my sketches (well, code, I'm only really getting into Arduino vs AVR now), I check to see if serial is available for the first 10s of operation, and if so, turn debug output on, otherwise continue.
I can put an example on github later.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
I believe it's not possible to detect if a USB to UART cable is connected, as Jbecker mentioned above the check for Serial checks to see if the serial hardware is available (which is always is on the ATmega328). Things are different on the 32u4 used on the Leonardo.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
I think he means
From the emonTH perspective, listen on the USB port for any input, and if there is something, assume someone is on the other side listening.
From user perspective, when switching on, send anything on UART to have debug activated.
But I may be wrong.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
But if you check for a serial input from an external node, then the UART is already enabled (drawing a little bit of additional current too). Then you can also enable and disable debug output by a command from the external node and it is not necessary to have it enabled all the time.
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
Would some code like this do the trick of checking at startup to see if anything is received on serial and if so turning on debug. Obviously a serial string would have to be sent during the two seconds it waits with with UART switching on. If no serial is received the UART can then be turned off to save battery
Re: if (Serial) debug = 1; else debug=0; line in emonTH code - does it work?
Yes, sorry, I wasn't clear. If you call Serial.available after waiting a short period, then use that to set debug. A lot of routers and other embedded devices do similar.


'Nothing supernatural happened': RUSADA reacts to WADA ban
by Pauline BockRussia has been banned for four years from taking part in major sporting competitions after investigations uncovered further evidence of tampering with doping data.
Under the ban from the World Anti-Doping Agency (WADA), the country will not be allowed to participate in the 2022 Football World Cup in Qatar, while Russian athletes cleared to compete in other sports will not be able to do so under the Russian flag.
READ MORE: WADA outlines how Russia's 4 year sport ban will be implemented
Yuri Ganus, the chief executive of Russia’s Anti-Doping Agency (RUSADA), reacted to the news in a press conference on Monday. The ban, RUSADA said, is unsurprising.
"Unfortunately, nothing supernatural happened", Ganus said. "The WADA executive board made a decision in complete accordance with the compliance review committee recommendations."
"The changes were significant, they were substantial, parts of data were deleted, including right before the actual transfer of data itself. Those changes have also negatively affected and stalled the WADA investigation."
Watch Ganus' press conference by clicking on the player above.


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Preliminaries
LLDB relies on many of the technologies developed by the larger LLVM project.
In particular, it requires both Clang and LLVM itself in order to build. Due to
this tight integration the Getting Started guides for both of these projects
come as prerequisite reading:
Supported compilers for building LLDB on Linux include:
- Clang 3.2
- GCC 4.6.2 (later versions should work as well)
It is recommended to use libstdc++ 4.6 (or higher) to build LLDB on Linux, but using libc++ is also known to work.
On FreeBSD the base system Clang and libc++ may be used to build LLDB,
or the GCC port or package.
On NetBSD the base system GCC and libstdc++ are used to build LLDB,
Clang/LLVM and libc++ should also work.
In addition to any dependencies required by LLVM and Clang, LLDB needs a few
development packages that may also need to be installed depending on your
system. The current list of dependencies are:
So for example, on a Fedora system one might run:
> yum install libedit-devel libxml2-devel ncurses-devel python-devel swig
On a Debian or Ubuntu system one might run:
> sudo apt-get install build-essential subversion swig python2.7-dev libedit-dev libncurses5-dev
or
> sudo apt-get build-dep lldb-3.3 # or lldb-3.4
On FreeBSD one might run:
> pkg install swig python
On NetBSD one might run:
> pkgin install swig python27 cmake ninja-build
If you wish to build the optional reference documentation, additional dependencies are required:
- Graphviz (for the 'dot' tool).
- doxygen (only if you wish to build the C++ API reference)
- epydoc (only if you wish to build the Python API reference)
To install the prerequisites for building the documentation (on Debian/Ubuntu) do:
> sudo apt-get install doxygen graphviz
> sudo pip install epydoc # or install package python-epydoc
Building LLDB
We first need to checkout the source trees into the appropriate locations. Both
Clang and LLDB build as subprojects of LLVM. This means we will be checking out
the source for both Clang and LLDB into the tools subdirectory of LLVM. We
will be setting up a directory hierarchy looking something like this:
llvm
|
`-- tools
|
+-- clang
|
`-- lldb
For reference, we will call the root of the LLVM project tree $llvm, and the
roots of the Clang and LLDB source trees $clang and $lldb respectively.
Change to the directory where you want to do development work and checkout LLVM:
> svn co http://llvm.org/svn/llvm-project/llvm/trunk llvm
Now switch to LLVM’s tools subdirectory and checkout both Clang and LLDB:
> cd $llvm/tools
> svn co http://llvm.org/svn/llvm-project/cfe/trunk clang
> svn co http://llvm.org/svn/llvm-project/lldb/trunk lldb
In general, building the LLDB trunk revision requires trunk revisions of both
LLVM and Clang.
It is highly recommended that you build the system out of tree. Create a second
build directory and configure the LLVM project tree to your specifications as
outlined in LLVM’s Getting Started Guide. A typical build procedure
might be:
> cd $llvm/..
> mkdir build
> cd build
To build with CMake
Using CMake is documented on the Building LLVM with CMake
page. Building LLDB is possible using one of the following generators:
Using CMake + Ninja
Ninja is the fastest way to build LLDB! In order to use ninja, you need to have recent versions of CMake and
ninja on your system. To build using ninja:
> cmake .. -G Ninja
> ninja lldb
> ninja check-lldb
Using CMake + Unix Makefiles
If you do not have Ninja, you can still use CMake to generate Unix Makefiles that build LLDB:
> cmake ..
> make
> make check-lldb
To build with autoconf
If you do not have CMake, it is still possible to build LLDB using the autoconf build system. If you are using
Clang or GCC 4.8+, run:
> $llvm/configure
> make
If you are building with a GCC that isn't the default gcc/g++, like gcc-4.9/g++-4.9
> $llvm/configure CC=gcc-4.9 CXX=g++-4.9
> make CC=gcc-4.9 CXX=g++-4.9
If you are running in a system that doesn't have a lot of RAM (less than 4GB), you might want to disable
debug symbols by specifying DEBUG_SYMBOLS=0 when running make. You will know if you need to enable this
because you will fail to link clang (the linker will get a SIGKILL and exit with status 9).
> make DEBUG_SYMBOLS=0
To run the LLDB test suite, run:
> make -C tools/lldb/test
Note that once both LLVM and Clang have been configured and built it is not
necessary to perform a top-level make to rebuild changes made only to LLDB.
You can run make from the build/tools/lldb subdirectory as well.
If you wish to build with libc++ instead of libstdc++ (the default), run configure with the
--enable-libcpp flag.
If you wish to build a release version of LLDB, run configure with the --enable-optimized flag.
Building API reference documentation
LLDB exposes a C++ as well as a Python API. To build the reference documentation for these two APIs, ensure you have
the required dependencies installed, and build the lldb-python-doc and lldb-cpp-doc CMake targets.
The output HTML reference documentation can be found in <build-dir>/tools/lldb/docs/.
Additional Notes
LLDB has a Python scripting capability and supplies its own Python module named lldb.
If a script is run inside the command line lldb application, the Python module
is made available automatically. However, if a script is to be run by a Python interpreter
outside the command line application, the PYTHONPATH environment variable can be used
to let the Python interpreter find the lldb module.
Current stable NetBSD release doesn't ship with libpanel(3), therefore it's required to disable curses(3) support with
the -DLLDB_DISABLE_CURSES:BOOL=TRUE option. To make sure check if /usr/include/panel.h exists in your
system.
The correct path can be obtained by invoking the command line lldb tool with the -P flag:
> export PYTHONPATH=`$llvm/build/Debug+Asserts/bin/lldb -P`
If you used a different build directory or made a release build, you may need to adjust the
above to suit your needs. To test that the lldb Python module
is built correctly and is available to the default Python interpreter, run:
> python -c 'import lldb'
Cross-compiling LLDB
In order to debug remote targets running different architectures than your host, you
will need to compile LLDB (or at least the server component) for the target. While
the easiest solution is to just compile it locally on the target, this is often not
feasible, and in these cases you will need to cross-compile LLDB on your host.
Cross-compilation is often a daunting task and has a lot of quirks which depend on
the exact host and target architectures, so it is not possible to give a universal
guide which will work on all platforms. However, here we try to provide an overview
of the cross-compilation process along with the main things you should look out for.
First, you will need a working toolchain which is capable of producing binaries for
the target architecture. Since you already have a checkout of clang and lldb, you
can compile a host version of clang in a separate folder and use that.
Alternatively you can use system clang or even cross-gcc if your distribution
provides such packages (e.g., g++-aarch64-linux-gnu
on Ubuntu). On
Android, a working toolchain can be produced by downloading the Android NDK and
running the contained make-standalone-toolchain.sh
script.
Next, you will need a copy of the required target headers and libraries on your
host. The libraries can be usually obtained by copying from the target machine,
however the headers are often not found there, especially in case of embedded
platforms. In this case, you will need to obtain them from another source, either
a cross-package if one is available, or cross-compiling the respective library from
source. Fortunately the list of LLDB dependencies is not big and if you are only
interested in the server component, you can reduce this even further by passing the
appropriate cmake options, such as:
-DLLDB_DISABLE_LIBEDIT=1
-DLLDB_DISABLE_CURSES=1
-DLLDB_DISABLE_PYTHON=1
-DLLVM_ENABLE_TERMINFO=0
In this case you, will often not need anything other than the standard C and C++
libraries.
In the case of Android, all required headers and libraries are provided by the
aforementioned make-standalone-toolchain.sh
script.
Once all of the dependencies are in place, it's just a matter of configuring the
build system with the locations and arguments of all the necessary tools. The most
important cmake options here are:
- CMAKE_CROSSCOMPILING
- Set to 1 to enable cross-compilation.
- CMAKE_LIBRARY_ARCHITECTURE
- Affects the cmake search path when looking for libraries. You may need to set
this to your architecture triple if you do not specify all your include and
library paths explicitly.
- CMAKE_C_COMPILER, CMAKE_CXX_COMPILER
- C and C++ compilers for the target architecture
- CMAKE_C_FLAGS, CMAKE_CXX_FLAGS
- The flags for the C and C++ target compilers. You may need to specify the
exact target cpu and abi besides the include paths for the target headers.
- CMAKE_EXE_LINKER_FLAGS
- The flags to be passed to the linker. Usually just a list of library search
paths referencing the target libraries.
- LLVM_TABLEGEN, CLANG_TABLEGEN
- Paths to llvm-tblgen and clang-tblgen for the host architecture. If
you already have built clang for the host, you can point these variables to the
executables in your build directory. If not, you will need to build the
llvm-tblgen and clang-tblgen host targets at least.
-
- LLVM_HOST_TRIPLE
- The triple of the system that lldb (or lldb-server) will run on. Not setting
this (or setting it incorrectly) can cause a lot of issues with remote debugging
as a lot of the choices lldb makes depend on the triple reported by the remote
platform.
You can of course also specify the usual cmake options like CMAKE_BUILD_TYPE, etc.
Example 1: Cross-compiling for linux arm64 on Ubuntu host
Ubuntu already provides the packages necessary to cross-compile LLDB for arm64. It
is sufficient to install packages gcc-aarch64-linux-gnu, g++-aarch64-linux-gnu,
binutils-aarch64-linux-gnu. Then it is possible to prepare the cmake build with the
following parameters:
-DCMAKE_CROSSCOMPILING=1 \
-DCMAKE_C_COMPILER=aarch64-linux-gnu-gcc \
-DCMAKE_CXX_COMPILER=aarch64-linux-gnu-g++ \
-DLLVM_HOST_TRIPLE=aarch64-unknown-linux-gnu \
-DLLVM_TABLEGEN=<path-to-host>/bin/llvm-tblgen \
-DCLANG_TABLEGEN=<path-to-host>/bin/clang-tblgen \
-DLLDB_DISABLE_PYTHON=1 \
-DLLDB_DISABLE_LIBEDIT=1 \
-DLLDB_DISABLE_CURSES=1
An alternative (and recommended) way to compile LLDB is with clang. Unfortunately,
clang is not able to find all the include paths necessary for a successful
cross-compile, so we need to help it with a couple of CFLAGS options. In my case it
was sufficient to add the following arguments to CMAKE_C_FLAGS and CMAKE_CXX_FLAGS
(in addition to changing CMAKE_C(XX)_COMPILER to point to clang compilers):
-target aarch64-linux-gnu \
-I /usr/aarch64-linux-gnu/include/c++/4.8.2/aarch64-linux-gnu \
-I /usr/aarch64-linux-gnu/include
If you wanted to build a full version of LLDB and avoid passing
-DLLDB_DISABLE_PYTHON and other options, you would need to obtain the target
versions of the respective libraries. The easiest way to achieve this is to use the
qemu-debootstrap
utility, which can prepare a system image using qemu
and chroot to simulate the target environment. Then you can install the necessary
packages in this environment (python-dev, libedit-dev, etc.) and point your
compiler to use them using the correct -I and -L arguments.
Example 2: Cross-compiling for Android on Linux
All tools needed to build LLDB for android are available in the Android NDK. For
example, we can produce an x86 toolchain along with all the libraries and headers
by running
./build/tools/make-standalone-toolchain.sh \
--platform=android-21 \
--toolchain=x86-4.9 \
--install-dir=$HOME/Toolchains/x86-android-toolchain
from inside the unzipped NDK. Toolchains for other architectures can be produced in
a similar manner.
For Android we provide a Android.cmake script which sets a lot of the required
options automatically. A cmake build can therefore be prepared with the following parameters:
-DCMAKE_TOOLCHAIN_FILE=cmake/platforms/Android.cmake \
-DANDROID_TOOLCHAIN_DIR=$HOME/Toolchains/x86-android-toolchain \
-DANDROID_ABI=x86 \
-DLLVM_HOST_TRIPLE=i386-unknown-linux-android \
-DLLVM_TABLEGEN=<path-to-host>/bin/llvm-tblgen \
-DCLANG_TABLEGEN=<path-to-host>/bin/clang-tblgen
Note that the full LLVM build is not functional on android yet, so simply running
ninja
will not work. You will need to manually specify the target you
want to build: lldb
, lldb-server
, etc.


The creative crew
Who we are
We are team of creatively diverse. driven. innovative individuals working in various locations from the world.
Product owner
Bill Mahoney
Art director
Saba Cabrera
Tech lead
Shae Le
UX designer
Skylah Lu
Developer
Griff Richards
Developer
Stan John


The following download packages are available. If you are just getting started with DWR, the JAR download is probably the best place to start. See the Getting Started Guide for instructions as to what to do with these downloads.
If you are upgrading from a previous version of DWR then you should read the upgrading instructions.
| Download | Version 3.0.2 | Notes |
|---|---|---|
| JAR File: | dwr.jar (839kb) | To DWR enable your web-app |
| WAR File (DWR Demo application): | dwrdemo.war (2.4Mb) | Demos/Examples of what DWR can do |
| Sources: | dwr-src.jar (822kb) | See also the sources from SVN |
| Non-CLA JAR: | dwr-noncla.jar (18.2kb) | Code that we don't have a CLA for |
Our latest release is in Maven Central:
<dependency> <groupId>org.directwebremoting</groupId> <artifactId>dwr</artifactId> <version>3.0.2-RELEASE</version> </dependency>
You may also download the latest development Snapshots from Sonatype's OSS repository. Below is a pom snippet for pulling in the 3.0.0 development snapshot from Sonatype's OSS repository.
<dependency> <groupId>org.directwebremoting</groupId> <artifactId>dwr</artifactId> <version>3.0.2-SNAPSHOT</version> </dependency> <dependency> <!-- Optional non-CLA components see DWR documentation for details --> <groupId>org.directwebremoting</groupId> <artifactId>dwr</artifactId> <classifier>noncla</classifier> <version>3.0.3-SNAPSHOT</version> </dependency> <repositories> <repository> <!-- Please consider setting up your own on-site repository proxy such as with Nexus and pointing the url element below at that instead --> <id>oss-sonatype-snapshots</id> <name>OSS Sonatype Snapshots Repository</name> <url>http://oss.sonatype.org/content/repositories/snapshots</url> <releases><enabled>false</enabled></releases> <snapshots><enabled>true</enabled></snapshots> </repository> </repositories>
You may also access our continuous integration builds on our Bamboo server which contain the latest code from our development repository.


Vue.js Fullpage Scroll
Vue.js Fullpage Scroll
Somacode
Class
Section 2
made with
Vue.js
Section 3
works on
desktop & mobile
Section 4
Somacode
Project


Cameras And Lenses - Great first principles explanation on how cameras work and complete with smooth interactive animations


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 As he tries to get ready for his life's dream, a slot at the amateur night in the last show at the famous Apollo theater, he ends up even deader than his material.  For the record, the hereafter looks like a big blue nightclub.
If this plot sounds familiar, it should. DOWN TO EARTH is a remake of the 1978 film HEAVEN CAN WAIT, starring Warren Beatty. That film, confusingly, was itself a remake, not of the 1943 film HEAVEN CAN WAIT, but of the 1941 picture HERE COMES MR. JORDAN. Now that we've gotten that straightened out, we can proceed.
Young, black, slender and poor Lance ends up in the body of Charles Wellington, a pudgy, white billionaire who is supposed to be 53 but looks a decade older.  The audience sees Lance, except for a few scenes when Charles is rapping or joking with black humor, as blacks stare at him in disbelief and dismay.
Lance transforms Charles from vicious capitalist into kind philanthropist. It isn't quite as magnanimous as it sounds, since Lance starts his giving as a way to impress Suntee (Regina King), a community activist who opposes Charles's plans for Brooklyn Community Hospital. Charles, the 15th richest man in the world, wants his hospital to boost profits by turning away people without insurance. In a dazzling performance for the cameras at the hospital's board meeting, Lance, as Charles, declares, "Shot in the head, you get a bed." No one notices that Charles's lingo suddenly sounds downscale. "Drive home safely, tip your waitresses," he tells his board when he leaves. "I gotst to go."
It's a good natured story, and Rock radiates a sweet likeableness throughout. But, the bottom line is that the movie is basically one long Chris Rock comedy routine. If you like his shtick, you'll probably like the movie. For my taste, some of his jokes are cute, but most don't quite click. Not a bad movie. Think of it as a near miss.
DOWN TO EARTH runs 1:27. It is rated PG-13 for language, sexual humor and some drug references and would be fine for kids around 9 and up.
My son Jeffrey, almost 12, gave the movie ** 1/2, saying that some of the jokes were funny but many weren't.
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Master Aiken:
There's something afoot in the Cemetery. Some Dwarven bandits named the Magpie Brothers are tunneling into tombs and robbing the dead...and they're not alone. I doubt even Maphr would condone such behavior...
A few days ago I gave a lecture on how to capture Dwarves alive. Would you like to hear some tips?
Learn skills.
Ask about Skill Enchanting.
Quest


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 2
Mussels are inexpensive, sustainable and so easy to cook once cleaned. Here they are steamed with pastis, a French anise-flavoured spirit.
Clean the mussels. Remove any beards and rinse under plenty of cold, running water. Discard any open ones that won't close when lightly squeezed.
In a large, lidded saucepan, heat the butter and gently fry the chopped celery, onion and lardons. Stir in the garlic and spices. Stir and cook for a few minutes then add the pastis.
Add the mussels and put the lid on the pan. Steam the mussels until they open taking care not to overcook. Remove the mussels with a slotted spoon and put them into a serving bowl. Discard any mussels that have not opened.
Turn up the heat and cook to reduce the sauce to a third of the volume before adding the cream. Bring to boil then add lemon juice and pour over mussels.
To serve, spoon the mussels into large serving bowl and scatter over the fresh herbs.


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{% include "./_includes/partials/content.html" %}