My Enactus Nationals Experience
What a difference a year makes.
One year ago today I was counting down the days until high school graduation. Suffering from boredom and “senioritis”, I did my usual thing and scrolled through Facebook, hoping to find something remotely interesting. Fifteen minutes later, I managed to come across this video.
I was probably thinking at the time “Interesting… A 23 minute long video with the title Enactus National Champions. What does Enactus even mean? There’s no chance my attention span is going to last for more than 5 minutes watching this.”  Anyways, I watched the first few minutes of the presentation and was instantly hooked to their passion and projects. If you haven’t watched Enactus Ryerson’s presentation yet, I would strongly recommend it. I will personally guarantee two things.
- You will be inspired.
- The line “turning ideas into reality” will get stuck in your head.
After hearing “turning ideas into reality” a gazillion times, I had an idea: I wanted to start an Enactus team at the University of Waterloo and change the world just like Enactus Ryerson. It wasn’t easy, but Enactus Waterloo officially joined the Enactus family in November 2014. My idea would not have turned into reality without the support of Annie Chen (other co-founder), Julie Marin (our lovely program manager), and David Rose (faculty advisor).
Our team recently attended the Enactus Canada National Competition in downtown Toronto. It was truly an incredible and empowering three day experience.
The first day consisted mainly of registration, meetings, and the opening ceremonies. The opening ceremony was pretty damn epic. I’ve never seen that much spirit and passion contained in a single room. We witnessed the first presentation of Enactus Nationals, presented proudly by the Enactus Canada head office team. Simply put, it was informational and quite humorous. Next up, Ricardo Martin, Vice President of Marketing of Unilever Canada, delivered a wonderful, humbling keynote speech. I was also fortunate enough to be the recipient of Enactus Canada’s Rising Star award. Although winning this award was sweet, the highlight of my night was watching Acacia (from Enactus Thompson Rivers) win the HSBC Woman Leader of Tomorrow Award.
On Tuesday, I woke up bright and early at 5:00AM, so I could commute from Vaughan to Toronto and attend the 7:00AM tech checks. Our entire presentation team actually commuted from home, since we wanted to save some money. Abhishek, Amy, Annie, and Nirupan made up the presentation team, and I was on tech. Overall, I thought our presentation team did a great job. Later in the day, I found some time to watch a few of the National Challenges presentations. I particularly enjoyed Enactus Ottawa’s soccer officiating program and Enactus St. Mary’s University’s Start Up 100 project.
Finally, it was the moment everyone was waiting for. Brett Wilson’s awesome talk. His speech had everything you expected a great speech would have and much more. The most powerful part of his talk was when someone asked “Who do you look up to in life?” He initially responded with a very influential Canadian businessman (name which I sadly can not remember). He thought about it a bit more and then changed his answer to “someone who spends time with their children and family.” This response left me in deep thought for quite a long time.
Tuesday night concluded with the announcement of the winners from the opening round. We were in the last league, so it took a while before the results from our league was announced. The play-by-play went something like this. The spirit award goes to Western, the runner-up goes to SFU, and the semi-finalists are… the University of Waterloo and Wilfrid Laurier University! Just wow. I couldn’t believe it, though at the same time, I knew we did the best we could do. Having our neighbours and friends Enactus Laurier move on with us made the moment even more memorable.
The only downside was the fact that one of our members flew back to Korea after our first presentation. As you might guess, this led to some obvious problems. That night, I had to memorize her entire set of lines and then present the next morning. Needless to say, it was an interesting and stressful experience, especially when you’re not staying overnight at the hotel. We presented and once again, I thought our presentation went very well. Unfortunately, this time we did not move on to the finals.
The four finalists were University of Ottawa, St. Lawrence College, St. Mary’s University, and University of Windsor. The four teams were all well deserving finalists and they all had fantastic presentations and projects. Several announcements later, Enactus Ottawa was chosen as the National Champions, with Enactus St. Mary’s winning runner-up.
I was invited to the Reception of Champions, which may have been the best part of my first Enactus Nationals experience. I had the opportunity to meet many of Enactus Ottawa’s dedicated members and learn from their experiences. I also had the chance to talk with members and faculty from exceptional Enactus programs: Lambton College, Ryerson University, University of Windsor, St. Mary’s University, and St. Lawrence College. I learned from a conversation with Ian Aitken (Founder and Chair of Enactus Canada) that he and Preston weren’t related. He also noted that in other Enactus Nationals, the two finalists are actually led on to the stage and then the winner is selected in a American Idol fashion. Finally, I met David Primmer, the donor of Enactus Rising Star Award. Awesome guy.
Anyways, this was quite a long blog post. I’ve never been more inspired and I’m ready to take our Enactus Waterloo program to the next level. This is going to be one incredible year.


required
attribute test
Pass Criteria
#1: Attribute is supported
#2: Attribute has correct HTML and Core Accessibility API mappings
#3: Validation error message is presented to the user
Reference
HTML
required
attribute
HTML Accessibility API Mappings for
required
attribute
Test rq-001:
required
attribute
Submit without entering value to trigger required attribute:
Submit


This recipe makes quick, tasty hummus, with no messing. It has been adapted from a number of different recipes that I have read over the years.
Hummus is a delicious thick paste used heavily in Greek and Middle Eastern dishes. It is very tasty with salad, grilled meats and pitta breads.
For a different flavour, you could try blending in a small measure of lemon and coriander, chili pepper, lime and chipotle, harissa and mint, or spinach and feta cheese. Experiment and see what works for you.
Refrigerate the finished hummus in a sealed container. You should be able to use it for about a week after you've made it. If it starts to become fizzy, you should definitely discard it.
Hummus is suitable for freezing; you should thaw it and use it within a couple of months.
This liquid is highly toxic — if you drink it, you may die.
The Ruby-throated Hummingbird (Archilochus colubris) is the most common hummingbird in Eastern North America.
The menu was a sea of exotic words like vatrushka, nasi goreng and soupe à l'oignon.
Someday I'll learn how to spel better.
Document content goes here.....
This is a paragraph.


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Floral Facts
Know someone bored during quarantine? Play this puzzle with them to have fun with some interesting plants!
Figure out the names of two real plants. If you are correct, you will discover a fun fact they have in common!
Check out the latest puzzles below. You can play online or download as an image or printer-friendly PDF.
| Puzzle | Web | Difficulty | Download | |
|---|---|---|---|---|
| {{ puzzle.name }} | Play | {{ puzzle.difficulty }} | PNG | PDF ({{ colorType }}) |


Bloggers, journalists may be labelled 'foreign agents' in Russia
Rights groups decry the move as 'a further step to restrict free and independent media'.
Rights activists on Tuesday warned of greater curbs on media and online freedom in Russia as MPs backed a controversial bill that could lead bloggers and independent journalists to be labelled "foreign agents".
Legislators want to broaden existing legislation that forces foreign-funded media and NGOs to describe themselves as "foreign agents", by including individuals.
More:
The lower house of Parliament, the State Duma, approved the amendments without any debate in the crucial second reading on Tuesday.
The final reading will be on Thursday, after which the bill must go through the upper house and then be signed off by President Vladimir Putin.
Foreign agents, defined as involved in politics and receiving money from abroad, must register with the justice ministry, label publications with the tag, and submit detailed paperwork or face fines.
Critics say extending the law to individuals would affect bloggers and even ordinary social media users, although some ruling party legislators denied this.
Amnesty International in a joint statement with other rights groups, including Journalists Without Borders, decried the move as "a further step to restrict free and independent media", and "a strong tool to silence opposition voices".
Authors say the bill is intended to "perfect" existing legislation on "foreign agents" that already covers NGOs and media organisations.
Russia says it wants the law as a tit-for-tat mechanism if its journalists are defined as foreign agents in the West.
"This wraps up the creation of a series of reciprocal measures ... in case there are restrictions on Russian media's work or people working for them abroad," Leonid Levin, the head of the Duma's information policy department, told Parliament.
'Primarily affect bloggers'
The politician acknowledged "concerns" the bill may affect bloggers and social media users, but insisted it would not be applied lightly.
"I stress the text says 'can receive' [the status] but that doesn't mean they necessarily get it," Levin said.
It will be necessary to prove a journalist or blogger collaborated with foreign media or a foreign agent and received compensation for it, he added.
Yet the independent RBK news site warned the law will "primarily affect bloggers".
"You don't need to be a journalist, it's enough just to write something on social media," wrote political observer Anton Orekh.
Rights activist Alexander Verkhovsky, who sits on Putin's human rights council, warned the law could affect anyone who posts online and receives money from abroad, even for unrelated reasons.
But Putin's spokesman Dmitry Peskov dismissed such concerns as "horror stories".
Legislators insist the label would only be imposed on journalists who cover politics.
One of the authors, senator Andrei Klimov told the Kommersant daily: "If someone writes about a hockey match or chasing butterflies, no one will recognise them as a foreign agent."
Russia first passed legislation allowing media organisations to be slapped with the label in 2017, after Kremlin-funded RT television was declared a foreign agent in the United States.
Media outlets affected by the law include US-financed Radio Liberty/Radio Free Europe and Voice of America.
The legislation was originally passed in 2012 to cover NGOs and has been widely used against rights and environmental groups.


The schedule cloud data or string name of the schedule
The time cloud data associated with the schedule
Returns the current period index and period object given a time.
the time that you want to lookup the period of
the index for ScheduleUtil.Schedule.getPeriod, and period object
Generated using TypeDoc
Class which takes data retrieved from functions in CalDataManage, and converts it into a list of periods which can be retrieved based on time.


User’s guide: wdPicker¶
Analysis of the output files¶
The script wdPicker.py
allows to visualize and perform some analysis of WaveDec output files. It is also possible to save to disk figures and comma-separated values (CSV) files with picked curves.
The workflow is as follow:
Quickly plot the WaveDec or WaveDecActive output files with no user intervention.
Using a graphical interface, manually select the wavenumber ML estimates corresponding to the dispersion curve of a certain mode of propagation.
For Rayleigh waves, manually select the ellipticity angle ML estimates of the ellipticity angle curve.
The ML estimates of the selected dispersion curve (and eventually ellipticty angle curve) are saved to CSV file. (Same format of WaveDec output files).
Automatically pick the median value of the filtered estimates for the dispersion curve or the ellipticity curve.
In each of these three steps, figures and CSV are generated and can be saved to file. To choose which files need to be saved to disk, see command line options (see inline help wdPicker.py -h
). In order to change default settings including figure output format (eg, PDF or PNG), resolution (dpi), input and output folders, edit the corresponding values in bin/wdSettings.py
.
Observe that the name of the WaveDec output files should not be changed as it is used by wdPicker.
Note
Depending on the version of your libraries, several warning messages generated by Qt libraries while using wdPicker.py
may be printed in the console.
The errors do not affect the functionalities but only represent a nuisance when reading the instructions from the console.
Plotting¶
wdPicker.py
immediately produces figures of all WaveDec output files in the current folder without requiring any user intervention.
Plots generated include:
Array layout
Dispersion curve, in wavenumber vs frequency and in velocity vs frequency
Ellipticity angle curve for Rayleigh waves
Azimuth vs frequency
Each ML estimate is depicted with a red dot. The density of the estimates is represented in the background using a color scale and is obtained using a standard non-parametric method, kernel density estimation (KDE). For quantities defined on angles (azimuth and ellipticity angle) the modularity is considered.
If the file ArrayResolutionLimits.csv
is present, array resolution limits are overlaid to the dispersion curve.
These figures show together estimates belonging to multiple modes and outliers not belonging to any mode of propagation. In order to separate the modes, continue reading to the next section.
Filtering¶
We now explain how it is possible to isolate a single mode of propagation and to reject outliers.
Considering the wavenumber-frequency plot, the user can select an upper and a lower bound containing the estimates of interest using the mouse. Once the selection is finalized, only the estimates between the bounds will be considered and the estimates outside will be disregarded.
During the filtering procedure, read and follow instructions given in console. The bounds are represented as piecewise linear functions. Pressing the mouse left button will add a new point, pressing the right button will remove the last point selected. When a bound is correctly selected, press the SPACE KEY
to accept it. Scrolling the mouse wheel or pressing the keys +
and -
it is possible to increase or reduce the width of the background estimate density.
For Love waves the selection is performed in the wavenumber-frequency plane. For Rayleigh waves the selection is first performed in the wavenumber-frequency plane and then in the ellipticity angle-frequency plane.
After the selection is done, more figures corresponding to the filtered points (i.e., the points within the selected bounds) are plotted and saved to file.
Moreover CSV files with the same format of the WaveDec output files are generated. In these files, only the filtered estimates are present.
Picking¶
In the last step, which requires no intervention from the user, the dispersion curve and the ellipticity angle curve are picked from the filtered estimates.
For dispersion curves, the median and the standard deviation of the filtered wavenumbers are computed.
For ellipticity angle curves, the circular median and the circular standard deviation of the filtered ellipticity angles are computed.
Picked curves are saved to a CSV file.
Several images are saved to file.
Options¶
Some options for wdPicker
can be set from command line. Help is shown with
$ wdPicker.py --help
The default value for these options can be modified in the file wdSettings.py
.
Options include
Image output format (png, pdf, …) and resolution (dpi)
Output folders for plots and CSV files
Default bandwidth/variance used for visualization of the estimates


This section shows changes and bug fixes in the XlsxWriter module.
Added worksheet tables. See Working with Worksheet Tables and Example: Worksheet Tables.
Tested with the new Python stable releases 2.7.4 and 3.3.1. All tests now pass in the following versions:
- Python 2.6
- Python 2.7.2
- Python 2.7.3
- Python 2.7.4
- Python 3.1
- Python 3.2
- Python 3.3.0
- Python 3.3.1
There are now over 700 unit tests including more than 170 tests that compare against the output of Excel.
Added Python 2.6 support. All tests now pass in the following versions:
- Python 2.6
- Python 2.7.2
- Python 2.7.3
- Python 3.1
- Python 3.2
- Python 3.3.0
Added worksheet methods:
- set_zoom() for setting worksheet zoom levels.
- right_to_left() for middle eastern versions of Excel.
- hide_zero() for hiding zero values in cells.
- set_tab_color() for setting the worksheet tab colour.
Added the set_properties() workbook method for setting document properties.
Added several new examples programs with documentation. The examples now include:
- array_formula.py
- cell_indentation.py
- datetimes.py
- defined_name.py
- demo.py
- doc_properties.py
- headers_footers.py
- hello_world.py
- merge1.py
- tutorial1.py
- tutorial2.py
- tutorial3.py
- unicode_polish_utf8.py
- unicode_shift_jis.py
Added final page setup methods to complete the page setup section.
- print_area()
- fit_to_pages()
- set_start_page()
- set_print_scale()
- set_h_pagebreaks()
- set_v_pagebreaks()
Added page setup method.
- print_row_col_headers
Added page setup methods.
- repeat_rows()
- repeat_columns()
Added Python 3 support with help from John Evans. Tested with:
- Python-2.7.2
- Python-2.7.3
- Python-3.2
- Python-3.3.0
Added page setup methods.
- center_horizontally()
- center_vertically()
- set_header()
- set_footer()
- hide_gridlines()
Added page setup method.
- set_margins()
Added page setup methods.
- set_landscape()
- set_portrait()
- set_page_view()
- set_paper()
- print_across()


Never Memorize Something That You Can Look Up
No.2
Complete Certified HL7® CDA Specialist.
Software Developer Internship


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--- layout: default date: 2019-12-06 title: XML header: XML ---
Home/ Computing/ Formatting/ Xml/
XML is a language for describing text suitiable for computer interpretation.


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I recently crossed the 1,000 note mark in my Evernote account and wanted to get a sense of what I’ve been reading and writing in aggregate. This visualization is based on some tech I was exploring at a previous startup (Magic Notebook).
The nodes in the network above are individual notes. For each note, a set of tags is automatically generated which serves as a feature vector for the note. For each pair of notes, we assign a similarity score and draw an edge if the score is over a certain threshold. Colors represent detected communities from notes which cover similar material.
After extracting the body of each note, pass it through the Wikipedia Miner Toolkit. The toolkit is composed of a set of machine learned algorithms that when given an input document attempts to identify important concepts in the text and automatically links these concepts to their corresponding Wikipedia pages. Roughly, the algorithm is split into three parts...
For a more thorough explanation check out the research paper.
Given tag vectors for each document, we can assign a score for how similar each set of documents is (i.e. cosine similarity). If the similarity between two nodes is above a certain threshold, we draw an edge in the network.
Treating each node as a ball and each edge as a spring, the network is laid out to minimize the total energy of the system. I used the ForceAtlas2 algorithm from the Gephi Toolkit.
The modularity of a network is a scalar value that compares the density of connections between nodes in the same community versus connections between communities. The colors in the network represent detected communities using the Louvain Algorithm from the Gephi Toolkit.


Kws have 4 planes
the first one is for trans portation...
the second one is fore keeping domestic awey from the forest
the third one is fore triting animals
is for couting
Aeronautics is the science or art involved with the study, design, and manufacturing of air flight capable machines, and the techniquesof operating aircraftwhat is aeronautics engineer
and rockets within the atmosphere.When the animals are sick the last plane takes off and before it takes off the aeronautics engineer checks
learn more


Getting Started with the CKG Build¶
Setting up the Clinical Knowledge Graph is straightforward.
Assuming you have Python 3.6 already installed and added to PATH
, you can choose to create a virtual environment where all the packages with the specific versions will be installed. To do so, use Virtualenv.
To check which Python version is currently installed:
$ python3.6 --version
And where this Python version is:
$ which python3.6
If this does not correspond to the correct Python version you want to run, you can create a shell alias in the bash file:
Open the bash file:
$ vi ~/.bash_profile
Add at the end of the file:
alias python3.6="/path/to/correct/python3.6"
Save and close the bash file
Make the alias available in the current session:
$ source ~/.bash_profile
Note
If you don’t have Python 3.6 installed, download the Python 3.6 version appropriate for your machine, and run the installer package. Python should be installed in /Library/Frameworks/Python.framework/Versions/3.6/bin/python3.6
and also found in /usr/local/bin/python3.6
.
Create a virtual environment¶
Virtualenv is not installed by default on Macbook machines. To install it, run:
$ python3 -m pip install virtualenv
To create a new virtual environment using a costum version of Python, follow the steps:
Take note of the full path to the Python version you would like to use inside the virtual environment.
Navigate to the directory where you would like your virtual environment to be (e.g. user’s root).
Create the virtual environment at the same time you specify the version of Python you wish to use.
env_name
is the name of the virtual environment and can be set to anything you like.
$ virtualenv -p /path/to/python env_name
Activate the virtual environment by running:
$ source path/to/env_name/bin/activate
After this, the name of the virtual environment will now appear on the left of the prompt:
(env_name) username$
If you are finished working in the virtual environment for the moment, you can deactivate it by running:
$ deactivate
Setting up the Clinical Knowledge Graph¶
The first step in setting up the CKG, is to obtain the complete code by clone the GitHub repository:
$ git clone https://github.com/MannLabs/CKG.git
Once this is finished, you can find all the Python modules necessary to run the Clinical Knowledge Graph in requirements.txt
.
To install all the packages required, simply run:
$ cd CKG/
$ pip install -r requirements.txt
Warning
Make sure the virtual environment previously created is active before installing requirements.txt
.
Now that all the packages are correctly installed, you will have to create the appropriate directory architecture within the local copy of the cloned repository:
$ python setup_CKG.py
$ python setup_config_files.py
This will automatically create the data
folder and all subfolders, as well as setup the configuration for the log files where all errors and warnings related to the code will be written to.
Add CKG to .bashrc¶
In order run the the Clinical Knowledge Graph, add the path to the code to your .bashrc
(or .bash_profile
):
Open the .bashrc file.
Add the following lines to the file and save it:
PYTHONPATH="${PYTHONPATH}:/path/to/folder/CKG/src/"
export PYTHONPATH
Notice that the path should always finish with “/CKG/src/”.
To reload the bash file, first deactivate the virtual environment, reload ~/.bashrc, and activate the virtual environment again:
$ deactivate
$ source ~/.bashrc
$ source path/to/env_name/bin/activate
Build Neo4j graph database¶
The building of the CKG database is thoroughly automated. Most of the biomedical databases and ontology files will automatically be downloaded during building of the database. However, the following licensed databases have to be downloaded manually.
PhosphoSitePlus: Acetylation_site_dataset.gz, Disease-associated_sites.gz, Kinase_Substrate_Dataset.gz, Methylation_site_dataset.gz, O-GalNAc_site_dataset.gz, O-GlcNAc_site_dataset.gz, Phosphorylation_site_dataset.gz, Regulatory_sites.gz, Sumoylation_site_dataset.gz and Ubiquitination_site_dataset.gz.
DrugBank: All drugs (under COMPLETE DATABASE) and DrugBank Vocabulary (under OPEN DATA).
SNOMED-CT: Download RF2 Files Now!.
After download, move the files to their respective folders:
PhosphoSitePlus:
CKG/data/databases/PhosphoSitePlus
DrugBank:
CKG/data/databases/DrugBank
SNOMED-CT:
CKG/data/ontologies/SNOMED-CT
In the case of SNOMED-CT, unzip the downloaded file and copy all the subfolders and files to the SNOMED-CT
folder.
Warning
These three databases require login and authentication. To sign up go to PSP Sign up, DrugBank Sign up and SNOMED-CT Sign up. In the case of SNOMED-CT, the UMLS license can take several business days.
Note
If the respective database folder is not created, please do it manually.
The last step is to build the database, which can be done using the builder.py
module or a dump file
.
From builder.py¶
To build the graph database, run builder.py
:
$ cd src/graphdb_builder/builder
$ python builder.py -b full -u neo4j
Warning
Before running builder.py
, please make sure your Neo4j graph is running. The builder will fail otherwise.
This action will take aproximately 6 hours but depending on a multitude of factors, it can take up to 10 hours.
From the provided dump file (Testing)¶
A dump file of the database is also made available in this link and alternatively, you can use it to load the graph database contained in it. To do so, download both files (ckg_080520.dump
and data.tar.gz
).
The .dump
file will be used to load the Neo4j graph database:
Create
backups
andgraph.db
folders:
$ cd /path/to/neo4jDatabases/database-identifier/installation-x.x.x/
$ mkdir backups
$ mkdir backups/graph.db
$ cp 2019-11-04.dump backups/graph.db/.
After copying the dump file to backups/graph.db/, make sure the graph database is shutdown and run:
$ bin/neo4j-admin load --from=backups/graph.db/2019-11-04.dump --database=graph.db --force
In some systems you might have to run this as root:
$ sudo bin/neo4j-admin load --from=backups/graph.db/2019-11-04.dump --database=graph.db --force
$ sudo chown -R username data/databases/graph.db/
Warning
Make sure the dump file naming in the command above, matches the one provided to you.
Once you are done, start the database and you will have a functional graph database.
Be aware the database contained in the dump file does NOT include the licensed databases (PhosphoSitePlus, DrugBank and SNOMED-CT).
To add the missing ontology and databases, as well as their dependencies (relationships to other nodes), please manually download the files as explained in Build Neo4j graph database, unzip the downloaded file data.tar.gz
and place its contents in CKG/data/
. The folder data
should look like the figure depicted.
Once this is done, run the following commands:
$ cd CKG/src/graphdb_builder/builder
$ python builder.py -b minimal -u username
Note
Remember of replace the username
in each command, with your own neo4j username.
More on the dump file¶
Another great use for the dump file, is to generate backups of the database (e.g. different versions of the imported biomedical databases). To generate a dump file of a specific Neo4j database, simply run:
$ cd /path/to/neo4jDatabases/database-identifier/installation-x.x.x/
$ bin/neo4j-admin dump --database=neo4j --to=backups/graph.db/name_of_the_file.dump
Warning
Remember to replace name_of_the_file
with the name of the dump file you want to create.


A type of Video Game where the player, instead of controlling a single character, controls a group of characters, and progress frequently depends on puzzles making use of this fact. (Multi-player games can also be teamwork puzzle games, but often aren't.)
In its simplest form, the characters are pretty much interchangeable, and the puzzles merely make use of the fact that there's more than one of them — for instance, by presenting the characters with a door that only opens when somebody holds down a switch on the far side of the room. In more sophisticated games, each character has a unique set of abilities (and disabilities) — in a game like this, the door switch might only work if operated by Alice the Locksmith, but be located on a high ledge that Alice can't reach without the assistance of Bob the Very Tall Weightlifter.
The actual genre/type of gameplay of a teamwork puzzle game may be Platform Game, Point-and-Click Game, Interactive Fiction, or any other that supports storytelling and puzzle solving. (So probably not actual Puzzle Game, which is usually a lot more abstract.)
See also Plot Tailored to the Party.
Examples:
- The Legend of Zelda: Four Swords, The Legend of Zelda: Four Swords Adventures, and The Legend of Zelda: Tri Force Heroes
- The Lego Adaptation Games
- The Lost Vikings
- Maniac Mansion and Day of the Tentacle
- Sonic Heroes, Sonic Advance 3, Sonic Chronicles and Knuckles Chaotix.
- Trine
- Shrek 2
- In the Frenetic Five game series, the player controls five superheroes with a variety of abilities.
- Half-Life: Decay is a PS2-only Half Life 1 Expansion Pack in which the player controls two characters (or two players each control one character) who must work together to proceed.
- There is also a Half-Life mod called Sven Co-op where players online work together to complete a level. At least two players are necessary, as levels will have switches where one player must hold down a button to allow another player to pass through.
- In Head Over Heels, the player controls two characters, each with three abilities the other lacks, and in addition some puzzles can only be solved with Head standing on top of Heels.
- In The Humans, the player controls a tribe of cave-people. In the original game the cave-people are largely interchangeable (with the exception of a Witch Doctor who appears in some levels), and the puzzles are of the things-a-person-can't-do-alone type; the sequels added other individuals with specific abilities.
- Indiana Jones and the Fate of Atlantis can be played three different ways, with varying emphasis on puzzles or action adventure; one is a teamwork puzzle game with Indy assisted by a former colleague.
- The predecessor Indiana Jones and the Last Crusade includes a few puzzles requiring teamwork between Indy and his father.
- In Key to Adventure, an internet flash game, the player controls both a traditional platform character and an electric... not-traditional platform character.
- In The Legend of Spyro: Dawn of the Dragon, Cynder and Spyro have different "elements". Each element can interact with different obstacles, and the player has to figure out which character's elements are needed to get past a certain obstacle.
- In Once, Twice, Thrice!, the player controls three wizards with different sets of Elemental Powers.
- In Suspended, an Infocom Interactive Fiction game, the player controls six robots, each with different capabilities.
- Sven Co-op, a Half Life 1 Game Mod, has quite a few non-combat maps that are completely dependent on player co-operation. Possibly the most famous series are the "Secret City" maps.
- Problem Sleuth plays out much like this, owing to the three protagonists' varying statistics.
- The Neopets game, Hannah and the Ice Caves. The two playable characters have slightly different talents, but both must reach the exit door to finish each level.
- Fury Of The Furries, an old game for Amiga, Mac and DOS (and its later sprite swap the DOS, Mac and Game Boy versions of Pac-In-Time; the divergent SNES version of that, not so much), used a variation on this: the entire party traveled around at once, rather than moving independently, but each member of the party had skills that could be used at certain points in the level.
- Looney Tunes Collector for Game Boy Color works in a similar fashion.
- Karoshi Factory. A worker team up with other workers to find a way to kill themselves...
- Gobliiins games:
- In the original game, you have three characters — a technician, a wizard, and a warrior — and must use their respective abilities in the right places to complete levels.
- In Gobliins 2, you have two characters with slightly different abilities — one is weaker, but more intellectual, the other one vice versa — which affect their interaction with objects; many puzzles also require both character to perform some tasks simultaneously. When you get the third character, he is useful too in several scenes.
- In Gobliins 3, you have only one character, who, at several points, gets sidekicks (who are also under your control), allowing for solving puzzles that require using two characters at the same time.
- Pikmin 2 has you control both Olimar and Louie or later as the President to control two sets of Pikmin. Pikmin 3 ups this to three captains, Alph, Brittany, and Charlie, each of whom can control their own Pikmin army.
- Guy & Buddy: A guy sets out to avenge his murdered buddy, with his buddy's ghost tagging along. Each can go places and do things the other can't.
- Marvelous: Another Treasure Island, a Super Famicom title developed by Nintendo late in the console's lifespan. You control a trio of summer campers who do develop individual abilities based on the inventory items the plot hands them, but there are also obstacles that just require the three kids to act together to get past.
- The Cookie and Cream games have you controlling both characters at once to solve puzzles. On different screens. In different areas. It's... complicated.
- Beyond Good & Evil has several puzzles of the first type, bleeding into the second. Main character Jade has two partners who have different abilities than her, which you sometimes need to get through obstacles. In addition, it's frequently to do things like hit distant switches, so you can get through doors.
- Star Fox Adventures makes use of this with Fox and his Tag-Along Sidekick, Tricky the
TriceratopsEarthWalker. In addition to Tricky having different abilities than Fox (he can dig and breath fire), you sometimes have to get him to press switches and do other things for you.  - The licenced Transformers Animated game on the Nintendo DS.
- Dearth requires the two players to work together to smash the water monsters. There are two versions: one for two human players, and one for a single human player with the help of an AI.
- Two very similarly titled, and easily confusable, games for Amiga and Mega Drive that both use this mechanic: Bubble & Squeak and Bubba 'n' Stix.
- Some installments of the Resident Evil series:
- Resident Evil: Outbreak has eight characters who are all radically different (though only four could be used in any given level).
- Resident Evil 5 has only two characters that are almost interchangeable.
- Resident Evil 0 also uses a partner mechanic, with two somewhat different characters who could be swapped between.
- Clive Barker's Jericho. You get seven characters at the start, only one of whom can be controlled, but later the cast is reduced to six and you can take control of everyone else, all of whom play quite differently. There are also a few puzzles that require you to split the group up or that require multiple characters to work together to do something.
- The co-operative multiplayer section of Portal 2.
- Crash Twinsanity, which due to the whole Enemy Mine between Crash and Dr. Cortex often means that making Cortex suffer is key to progress.
- Enough Plumbers has you control a group of plumber clones.
- In CreaVures the player controls five characters, each with its own unique ability.
- A fair share of games in the Nicktoons Unite! series:
- The console version of Nicktoons Unite is best described as a lighter X-Men Legends with a heavier focus on puzzles requiring usage of one or more of the four characters' different skillsets than on combat.
- The Nintendo DS version of Nicktoons Unite and the Game Boy Advance version of Battle For Volcano Island are akin to the above-mentionned Fury of the Furries and Looney Tunes Collector. The former, however, is distinct by being set on a 3D plane.
- The DS version of Globs of Doom has the player controlling a different protagonist-antagonist pair per world (for five world), the 10 characters each having unique abilities. (For the record, the only moment where the player can choose which pairing to control is for the final boss.)
- Some versions of Math Blaster have a navigational puzzle where you control three distinct characters, each of which is needed to get past one of three distinct obstacles: A character tall enough to reach the pull-chains on the ceiling, a character stout enough to set off the floor switches, and a small floating character that can travel through narrow openings.
- Schizm: Mysterious Journey involves two search team members, Sam Mainey and Hannah Grant, sent to look for their fellow scientists who went missing on the planet Argilus, only to be stranded on opposite sides of the planet when they abandoned their spaceship before the game started. The player can switch between Sam and Hannah at will, and the first goal is to get both in radio contact with each other. From there on, certain puzzles require using both of them at once, where setting one of the characters to move or hold something keeping the other person from progressing.
- The Earth and Sky series features a pair of siblings with themed superpowers. In early installments the game dictates which is the player character for each section, but part 3 introduces the ability to switch between them at will, and has a lot of puzzles that require both their abilities to solve.
- In the online versions of Uru, the Bevins (neighbourhoods where players can meet) include one of two randomly selected garden levels, Eder Tsogahl and Eder Delin, which have no purpose other than including a similar puzzle that absolutely needs at least four to five people to be completed easily. It involves pushing a series of buttons in a certain order (different each time), said buttons being scattered around the environment. The simplest way to complete these is having a button "caller" and have someone waiting close to each button, in order to activate them in a timely manner.
- Banjo-Tooie has elements of this, at least after "Split Up" makes it possible for Banjo and Kazooie to act independently and acquire their own unique moves.
- In certain dungeons of Final Fantasy VI you need to split into two or three groups and alternatively walk into different switches to open up paths.
- Lemmings has some of this, although 88 of its 120 levels can be solved with just one lemming doing all the work.
- Brothers: A Tale of Two Sons. Rare in that you control both characters simultaneously.
- Sweet Home has five characters who could form into parties of up to three and could be switched between at any time. Each character has a special object such as a lighter (burns rope barriers) or a vacuum (clears debris).
- Pheus and Mor has the title characters. In addition to switch puzzles and the like, Mor, the dog, is needed to pass any watery area due to his owner Pheus' Super Drowning Skills.
- The What-Iffers in: Final Fancy stars four heroes representing common RPG classes, who must use their unique abilities in tandem to reach the goal of each stage.
- In Never Alone, the fox is more agile and can get places Nuna can't, but Nuna can move and carry things the fox can't.
- Seven Billion Humans is a Programming Game where a swarm of office works all run the same program.
- Luigi's Mansion 3. Luigi is accompanied by "Gooigi", a slimy clone of him that shares the same abilities as well. Progress through the game requires the player to switch between both characters at several points (or, alternatively, have a second player for co-op).
- Martian Gothic Unification has you controlling three astronauts in a deserted Mars base. Played with in that the characters can never actually meet: they're each carrying one-third of a deadly virus, and if any two of them are in the same room, terrible things will happen.
- The Animaniacs Licensed Game for the Sega Genesis has you play as Yakko, Wakko, and Dot in their quest to collect movie props. You can switch between each character with the push of a button, and they all have their own unique abilities that are required to progress through the game.
- Armikrog features two playable companions - Tommynaut and his alien dog Beak Beak. The two repeatedly utilize their size difference and Beak Beak's visor to get access to locations and information that Tommynaut wouldn't be able to have on his own.
- A few rooms into the indie point-and-click adventure game LUNA The Shadow Dust the protagonist discovers a cat-like creature buried under the rubble, who, after being rescued, becomes a controllable character. The creature's small size and ability to turn into a shadow allow it to explore places that would've been out of reach otherwise.


{% for author in page.authors %}
{% for team-member in site.team-members %}
{% if team-member.title contains author %}
{% include team-member.html %}
{% endif %}
{% endfor %}
{% for advisors in site.advisors %}
{% if advisors.title contains author %}


ESTSecureBeaconManager Class Reference
| Inherits from | NSObject |
| Declared in | ESTSecureBeaconManager.h |
Tasks
Other Methods
-
delegate
property
CoreLocation Authorization (new in iOS 8)
CoreLocation Based Scanning
Properties
delegate
The delegate object to receive update events.
@property (nonatomic, weak) id<ESTSecureBeaconManagerDelegate> _Nullable delegate
See Also
Declared In
ESTSecureBeaconManager.h
Class Methods
authorizationStatus
Returns the app’s authorization status for using location services.
+ (CLAuthorizationStatus)authorizationStatus
Return Value
A value indicating whether the app is authorized to use location services.
Discussion
For more details about the new location services authorization model please refer to the CoreLocation documentation.
See Also
[CLLocationManager authorizationStatus]
Declared In
ESTSecureBeaconManager.h
Instance Methods
requestAlwaysAuthorization
Requests permission to use location services whenever the app is running.
- (void)requestAlwaysAuthorization
Discussion
“Always” authorization is required to use beacon monitoring (startMonitoringForRegion:
) in the background and to relaunch a terminated app upon a monitoring event.
For more details about the new location services authorization model please refer to the CoreLocation documentation.
See Also
[CLLocationManager requestWhenInUseAuthorization]
Declared In
ESTSecureBeaconManager.h
requestStateForRegion:
Retrieves the state of a region.
- (void)requestStateForRegion:(CLBeaconRegion *)region
Parameters
- region
The region whose state you want to know.
Discussion
This method performs the request asynchronously and delivers the results to the beacon manager’s delegate
. You must implement the [ESTBeaconManagerDelegate beaconManager:didDetermineState:forRegion:]
method in the delegate
to receive the results.
Declared In
ESTSecureBeaconManager.h
requestWhenInUseAuthorization
Requests permission to use location services while the app is in the foreground.
- (void)requestWhenInUseAuthorization
Discussion
“When in use” authorization is sufficient to use beacon ranging (startRangingBeaconsInRegion:
) and monitoring (startMonitoringForRegion:
) in the foreground, but is not enough to use monitoring in the background and will not relaunch a terminated app upon a monitoring event.
For more details about the new location services authorization model please refer to the CoreLocation documentation.
See Also
[CLLocationManager requestWhenInUseAuthorization]
Declared In
ESTSecureBeaconManager.h
startMonitoringForRegion:
Starts monitoring the specified region.
- (void)startMonitoringForRegion:(CLBeaconRegion *)region
Parameters
- region
The region object that defines the boundary to monitor. This parameter must not be
nil.
Discussion
If an existing region with the same identifier is already being monitored by the application, the old region is replaced by the new one. The regions you add using this method are shared by all beacon and location manager objects in your application.
Region events are delivered to the [ESTBeaconManagerDelegate beaconManager:didEnterRegion:]
and [ESTBeaconManagerDelegate beaconManager:didExitRegion:]
methods of your delegate
. If there is an error, the beacon manager calls the [ESTBeaconManagerDelegate beaconManager:monitoringDidFailForRegion:withError:]
method of your delegate
instead.
See Also
Declared In
ESTSecureBeaconManager.h
startRangingBeaconsInRegion:
Starts the delivery of notifications for beacons in the specified secured region.
- (void)startRangingBeaconsInRegion:(CLBeaconRegion *)region
Parameters
- region
The region object that defines the identifying information for the targeted beacons. The number of beacons represented by this region object depends on which identifier values you use to initialize it. Beacons must match all of the identifiers you specify. This method copies the region information it needs from the object you provide. If
nil
, defaults to targeting all beacons withproximityUUID
equal toESTIMOTE_PROXIMITY_UUID
.
Discussion
Once registered, the beacon manager reports any encountered beacons to its delegate by calling the [ESTBeaconManagerDelegate beaconManager:didRangeBeacons:inRegion:]
method. If there is an error registering the specified beacon region, the beacon manager calls its delegate’s [ESTBeaconManagerDelegate beaconManager:rangingBeaconsDidFailForRegion:withError:]
method and provides the appropriate error information.
See Also
Declared In
ESTSecureBeaconManager.h
stopMonitoringForRegion:
Stops monitoring the specified secured region.
- (void)stopMonitoringForRegion:(CLBeaconRegion *)region
Parameters
- region
The region object currently being monitored. This parameter must not be
nil
. The object you specify need not be the exact same object that you registered but its beacon region attributes should be the same.
Discussion
If the specified region object is not currently being monitored, this method has no effect.
See Also
Declared In
ESTSecureBeaconManager.h
stopRangingBeaconsInRegion:
Stops the delivery of notifications for the specified secured beacon region.
- (void)stopRangingBeaconsInRegion:(CLBeaconRegion *)region
Parameters
- region
The region that identifies the beacons. The object you specify need not be the exact same object that you registered but its beacon region attributes should be the same. If
nil
, defaults to targeting all beacons withproximityUUID
equal toESTIMOTE_PROXIMITY_UUID
.
See Also
Declared In
ESTSecureBeaconManager.h


| DOSE: |
10 mg |
oral |
Pharms - Escitalopram |
(daily) |
| |
150 mg |
oral |
Pharms - Tramadol |
(pill / tablet) |
This is a warning! I take Lexapro (escitalopram oxalate), an SSRI prescribed for depression.  This medicine has been VERY effective in curing my depression. The problem is, I have a long history of Tramadol abuse, which started when I was hospitalized about a year ago and was given it for pain.
I had been taking Lexapro for about 3 weeks when I stupidly decided to indulge in some Tramadol. I only took 150mg (i usually take about 200-250).
The high was one of the best ones I've ever had, but that's not my point. The problem came the next evening, when I woke up in the middle of the night feeling really, REALLY, REALLY sick. I started shivering and in 3 seconds my ENTIRE BODY sweat so fast that I became completely soaked. I had diarrhea and threw up at the same time. I screamed for help and told my husband I was going to die. It is hard to describe how horrid of and experience that was. If you know what a bad trip on ecstasy is, (Iíve had one), multiply it by 100 and you have an idea of what I'm talking about.
I survived. The next day I did some research online on Tramadol interaction with SSRI and found out I had Serotonin Syndrome, an excess of serotonin in the brain that can be FATAL, so I DID almost die that night.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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A work by
Serdar Balci
drserdarbalci@gmail.com


public final class Prop extends Word
A Prop has the traits
FloatTrait
in the model (Deikto
)
it holds the value of the trait. The values can be manipulated through
the methods getTrait(FloatTrait)
and setTrait(FloatTrait, float)
.
TextTrait
in the model (Deikto
)
it holds the value of the trait. The values can be manipulated through
the methods getText(TextTrait)
and #setText(TextTrait, float)
.
Actor
, it has a knowsMe value that tells if the actor
knows the Prop. Manipulable through getKnowsMe(Actor)
and
setKnowsMe(Actor, boolean)
getImage(Deikto)
and
setImage(ScaledImage)
. It is also possible to retrieve the
image as a sequence of png bytes (getImageJPGBytes(Deikto)
).
This is useful for sending the image through the cable. If the image
is null the png bytes are obtained from the file on disk.
getImageName()
and
setImageName(String)
, but is also set to null when a
null image is set using setImage(ScaledImage)
(setImage(null)).
Word.Reference
| Modifier and Type | Field and Description |
|---|---|
static boolean |
DEFAULT_KNOWSME
KnowsMe values are initialized to this value.
|
static float |
DEFAULT_PROPTRAITVALUE
Stage trait values are initialized to this value.
|
zeroReference
| Constructor and Description |
|---|
Prop(java.lang.String label) |
| Modifier and Type | Method and Description |
|---|---|
Prop |
clone() |
void |
decreaseImageChangeCount() |
boolean |
getCarried() |
java.lang.String |
getDescription() |
ScaledImage |
getImage(Deikto dk)
Returns the image for the given word.
|
byte[] |
getImageJPGBytes(Deikto dk)
Gets the bytes of the image encoded as JPG.
|
java.lang.String |
getImageName()
Returns the filename where this image is loaded from/saved to.
|
boolean |
getInPlay() |
boolean |
getKnowsMe(Actor actor) |
int |
getLocation() |
Word.Reference |
getLocationRef() |
int |
getOwner() |
Word.Reference |
getOwnerRef() |
java.lang.String |
getText(TextTrait t)
Returns the text corresponding to a given trait for this prop.
|
float |
getTrait(FloatTrait t)
Returns the value for a given trait.
|
boolean |
getVisible() |
void |
increaseImageChangeCount() |
boolean |
isImageModified()
Tells if the image was modified since the prop was created.
|
void |
resetImageChangeCount()
Sets the image change count to 0.
|
void |
setCarried(boolean tNewCarried) |
void |
setDescription(java.lang.String tDescription) |
void |
setImage(ScaledImage image)
Sets an image as the image associated to this prop.
|
void |
setImageName(java.lang.String filename)
Sets an image in a file on disk as the image associated to this prop.
|
void |
setInPlay(boolean tNewInPlay) |
void |
setKnowsMe(Actor actor,
boolean newKnowsMe) |
void |
setLocation(Stage tNewLocation) |
void |
setLocationRef(Word.Reference r) |
void |
setOwner(Actor tNewOwner) |
void |
setOwnerRef(Word.Reference r) |
void |
setText(TextTrait t,
java.lang.String text)
Sets the text corresponding to a given trait for this prop.
|
void |
setTrait(FloatTrait t,
float f)
Sets the value for a given trait.
|
void |
setVisible(boolean tNewVisible) |
public static final float DEFAULT_PROPTRAITVALUE
public static final boolean DEFAULT_KNOWSME
public float getTrait(FloatTrait t)
public void setTrait(FloatTrait t, float f)
public java.lang.String getText(TextTrait t)
public void setText(TextTrait t, java.lang.String text)
public boolean getCarried()
public void setCarried(boolean tNewCarried)
public boolean getVisible()
public void setVisible(boolean tNewVisible)
public boolean getInPlay()
public void setInPlay(boolean tNewInPlay)
public int getOwner()
public Word.Reference getOwnerRef()
public void setOwner(Actor tNewOwner)
public void setOwnerRef(Word.Reference r)
public int getLocation()
public Word.Reference getLocationRef()
public void setLocation(Stage tNewLocation)
public void setLocationRef(Word.Reference r)
public boolean getKnowsMe(Actor actor)
public void setKnowsMe(Actor actor, boolean newKnowsMe)
public java.lang.String getDescription()
public void setDescription(java.lang.String tDescription)
public ScaledImage getImage(Deikto dk)
Word
public void setImage(ScaledImage image)
public void setImageName(java.lang.String filename)
public java.lang.String getImageName()
Word
getImageName
in class Word
public byte[] getImageJPGBytes(Deikto dk) throws java.io.IOException
java.io.IOException
public boolean isImageModified()
isImageModified
in class Word
public void resetImageChangeCount()
resetImageChangeCount
in class Word
public void increaseImageChangeCount()
public void decreaseImageChangeCount()


The third component of the administrative infrastructure, archival for catastrophic recovery, concerns the recoverability of the database in the face of catastrophic failure. Recovery after catastrophic failure is intended to minimize data loss when physical hardware has been destroyed — for example, loss of a disk that contains databases or log files. Although the application may still experience data loss in this case, it is possible to minimize it.
Berkeley DB backups (archives) can be recovered using machines of differing byte order. That is, a backup taken on a big-endian machine can be used to restore a database residing on a little-endian machine.
First, you may want to periodically create snapshots (that is, backups) of your databases to make it possible to recover from catastrophic failure. These snapshots are either a standard backup, which creates a consistent picture of the databases as of a single instant in time; or an on-line backup (also known as a hot backup), which creates a consistent picture of the databases as of an unspecified instant during the period of time when the snapshot was made. The advantage of a hot backup is that applications may continue to read and write the databases while the snapshot is being taken. The disadvantage of a hot backup is that more information must be archived, and recovery based on a hot backup is to an unspecified time between the start of the backup and when the backup is completed.
Second, after taking a snapshot, you should periodically archive the log files being created in the environment. It is often helpful to think of database archival in terms of full and incremental filesystem backups. A snapshot is a full backup, whereas the periodic archival of the current log files is an incremental backup. For example, it might be reasonable to take a full snapshot of a database environment weekly or monthly, and archive additional log files daily. Using both the snapshot and the log files, a catastrophic crash at any time can be recovered to the time of the most recent log archival; a time long after the original snapshot.
When incremental backups are implemented using this procedure, it is important to know that a database copy taken prior to a bulk loading event (that is, a transaction started with the DB_TXN_BULK flag) can no longer be used as the target of an incremental backup. This is true because bulk loading omits logging of some record insertions, so these insertions cannot be rolled forward by recovery. It is recommended that a full backup be scheduled following a bulk loading event.
To create a standard backup of your database that can be used to recover from catastrophic failure, take the following steps:
Run the db_archive utility with option -s to identify all the database data files, and copy them to a backup device such as CD-ROM, alternate disk, or tape.
If the database files are stored in a separate directory from the other Berkeley DB files, it may be simpler to archive the directory itself instead of the individual files (see DB_ENV->add_data_dir() for additional information on storing database files in separate directories).
If any of the database files did not have an open DB handle during the lifetime of the current log files, the db_archive utility will not list them in its output. This is another reason it may be simpler to use a separate database file directory and archive the entire directory instead of archiving only the files listed by the db_archive utility.
To create a hot backup of your database that can be used to recover from catastrophic failure, take the following steps:
Archive your databases, as described in the previous step #4. You do not have to halt ongoing transactions or force a checkpoint. As this is a hot backup, and the databases may be modified during the copy, it is critical that database pages be read atomically as described by Berkeley DB recoverability.
Note that only UNIX based systems are known to support the atomicity of reads. These systems include: Solaris, Mac OSX, HPUX and various BSD based systems. Linux and Windows based systems do not support atomic filesystem reads directly. The XFS file system supports atomic reads despite the lack of it in Linux. On systems that do not support atomic file system reads, the db_hotbackup utility should be used or a tool can be constructed using the DB_ENV->backup() method. Alternatively, you can construct a tool using the the db_copy() method. You can also perform a hot backup of just a single database in your environment using the DB_ENV->dbbackup() method.
Archive all of the log files. The order of these two operations is required, and the database files must be archived before the log files. This means that if the database files and log files are in the same directory, you cannot simply archive the directory; you must make sure that the correct order of archival is maintained.
To archive your log files, run the db_archive utility using the -l option to identify all the database log files, and copy them to your backup media. If the database log files are stored in a separate directory from the other database files, it may be simpler to archive the directory itself instead of the individual files (see the DB_ENV->set_lg_dir() method for more information).
To minimize the archival space needed for log files when doing a hot backup, run db_archive to identify those log files which are not in use. Log files which are not in use do not need to be included when creating a hot backup, and you can discard them or move them aside for use with previous backups (whichever is appropriate), before beginning the hot backup.
After completing one of these two sets of steps, the database environment can be recovered from catastrophic failure (see Recovery procedures for more information).
To update either a hot or cold backup so that recovery from catastrophic failure is possible to a new point in time, repeat step #2 under the hot backup instructions and archive all of the log files in the database environment. Each time both the database and log files are copied to backup media, you may discard all previous database snapshots and saved log files. Archiving additional log files does not allow you to discard either previous database snapshots or log files. Generally, updating a backup must be integrated with the application's log file removal procedures.
The time to restore from catastrophic failure is a function of the number of log records that have been written since the snapshot was originally created. Perhaps more importantly, the more separate pieces of backup media you use, the more likely it is that you will have a problem reading from one of them. For these reasons, it is often best to make snapshots on a regular basis.
Obviously, the reliability of your archive media will affect the safety of your data. For archival safety, ensure that you have multiple copies of your database backups, verify that your archival media is error-free and readable, and that copies of your backups are stored offsite!
The functionality provided by the db_archive utility is also available directly from the Berkeley DB library. The following code fragment prints out a list of log and database files that need to be archived:
void log_archlist(DB_ENV *dbenv) { int ret; char **begin, **list; /* Get the list of database files. */ if ((ret = dbenv->log_archive(dbenv, &list, DB_ARCH_ABS | DB_ARCH_DATA)) != 0) { dbenv->err(dbenv, ret, "DB_ENV->log_archive: DB_ARCH_DATA"); exit (1); } if (list != NULL) { for (begin = list; *list != NULL; ++list) printf("database file: %s\n", *list); free (begin); } /* Get the list of log files. */ if ((ret = dbenv->log_archive(dbenv, &list, DB_ARCH_ABS | DB_ARCH_LOG)) != 0) { dbenv->err(dbenv, ret, "DB_ENV->log_archive: DB_ARCH_LOG"); exit (1); } if (list != NULL) { for (begin = list; *list != NULL; ++list) printf("log file: %s\n", *list); free (begin); } }


|
ATC()
|
Ability to correlate to other rows |
|
ATC_approx()
|
Ability to correlate to other rows - an approximated method |
|
ConsensusPartition-class
|
The ConsensusPartition class |
|
ConsensusPartitionList-class
|
The ConsensusPartitionList class |
|
DownSamplingConsensusPartition-class
|
The DownSamplingConsensusPartition class |
|
`[`(<ConsensusPartitionList>)
|
Subset a ConsensusPartitionList object |
|
`[`(<HierarchicalPartition>)
|
Subset the HierarchicalPartition object |
|
`[[`(<ConsensusPartitionList>)
|
Subset a ConsensusPartitionList object |
|
`[[`(<HierarchicalPartition>)
|
Subset the HierarchicalPartition object |
|
FCC()
|
Flatness of the CDF curve |
|
HierarchicalPartition-class
|
The HierarchicalPartition class |
|
PAC()
|
The proportion of ambiguous clustering (PAC score) |
|
aPAC()
|
Adapted PAC scores |
|
adjust_matrix()
|
Remove rows with low variance and impute missing values |
|
adjust_outlier()
|
Adjust outliers |
|
all_leaves(<HierarchicalPartition>)
|
All leaves in the hierarchy |
|
all_nodes(<HierarchicalPartition>)
|
All nodes in the hierarchy |
|
all_partition_methods()
|
All supported partitioning methods |
|
all_top_value_methods()
|
All supported top-value methods |
|
cola()
|
A bottle of cola |
|
cola_opt()
|
Global parameters |
|
cola_report(<ConsensusPartition>)
|
Make HTML report from the ConsensusPartition object |
|
cola_report(<ConsensusPartitionList>)
|
Make HTML report from the ConsensusPartitionList object |
|
cola_report(<HierarchicalPartition>)
|
Make HTML report from the HierarchicalPartition object |
|
cola_report-dispatch
|
Method dispatch page for cola_report |
|
cola_rl
|
Example ConsensusPartitionList object |
|
collect_classes(<ConsensusPartition>)
|
Collect subgroups from ConsensusPartition object |
|
collect_classes(<ConsensusPartitionList>)
|
Collect classes from ConsensusPartitionList object |
|
collect_classes(<HierarchicalPartition>)
|
Collect classes from HierarchicalPartition object |
|
collect_classes-dispatch
|
Method dispatch page for collect_classes |
|
collect_plots(<ConsensusPartition>)
|
Collect plots from ConsensusPartition object |
|
collect_plots(<ConsensusPartitionList>)
|
Collect plots from ConsensusPartitionList object |
|
collect_plots-dispatch
|
Method dispatch page for collect_plots |
|
collect_stats(<ConsensusPartition>)
|
Draw and compare statistics for a single method |
|
collect_stats(<ConsensusPartitionList>)
|
Draw and compare statistics for multiple methods |
|
collect_stats-dispatch
|
Method dispatch page for collect_stats |
|
colnames(<ConsensusPartition>)
|
Column names of the matrix |
|
colnames(<ConsensusPartitionList>)
|
Column names of the matrix |
|
colnames(<DownSamplingConsensusPartition>)
|
Column names of the matrix |
|
colnames(<HierarchicalPartition>)
|
Column names of the matrix |
|
colnames-dispatch
|
Method dispatch page for colnames |
|
compare_partitions(<ConsensusPartition>)
|
Compare two partitionings |
|
compare_signatures(<ConsensusPartition>)
|
Compare Signatures from Different k |
|
compare_signatures(<HierarchicalPartition>)
|
Compare Signatures from Different Nodes |
|
compare_signatures-dispatch
|
Method dispatch page for compare_signatures |
|
concordance()
|
Concordance to the consensus partition |
|
config_ATC()
|
Adjust parameters for default ATC method |
|
consensus_heatmap(<ConsensusPartition>)
|
Heatmap of the consensus matrix |
|
consensus_partition()
|
Consensus partition |
|
consensus_partition_by_down_sampling()
|
Consensus partitioning only with a subset of columns |
|
correspond_between_rankings()
|
Correspond between a list of rankings |
|
correspond_between_two_rankings()
|
Correspond two rankings |
|
david_enrichment()
|
Perform DAVID enrichment analysis |
|
dim(<ConsensusPartition>)
|
Dimension of the matrix |
|
dim(<ConsensusPartitionList>)
|
Dimension of the matrix |
|
dim(<DownSamplingConsensusPartition>)
|
Dimension of the matrix |
|
dim(<HierarchicalPartition>)
|
Dimension of the matrix |
|
dimension_reduction(<ConsensusPartition>)
|
Visualize column after dimension reduction |
|
dimension_reduction(<DownSamplingConsensusPartition>)
|
Visualize column after dimension reduction |
|
dimension_reduction(<HierarchicalPartition>)
|
Visualize columns after dimension reduction |
|
dimension_reduction-dispatch
|
Method dispatch page for dimension_reduction |
|
dimension_reduction(<matrix>)
|
Visualize columns after dimension reduction |
|
find_best_km()
|
Find a best k for the k-means clustering |
|
functional_enrichment(<ANY>)
|
Perform functional enrichment on signature genes |
|
functional_enrichment(<ConsensusPartition>)
|
Perform functional enrichment on signature genes |
|
functional_enrichment(<ConsensusPartitionList>)
|
Perform functional enrichment on signature genes |
|
functional_enrichment(<HierarchicalPartition>)
|
Perform functional enrichment on signature genes |
|
functional_enrichment-dispatch
|
Method dispatch page for functional_enrichment |
|
get_anno(<ConsensusPartition>)
|
Get annotations |
|
get_anno(<ConsensusPartitionList>)
|
Get annotations |
|
get_anno(<DownSamplingConsensusPartition>)
|
Get annotations |
|
get_anno(<HierarchicalPartition>)
|
Get annotations |
|
get_anno-dispatch
|
Method dispatch page for get_anno |
|
get_anno_col(<ConsensusPartition>)
|
Get annotation colors |
|
get_anno_col(<ConsensusPartitionList>)
|
Get annotation colors |
|
get_anno_col(<HierarchicalPartition>)
|
Get annotation colors |
|
get_anno_col-dispatch
|
Method dispatch page for get_anno_col |
|
get_children_nodes(<HierarchicalPartition>)
|
Test whether a node is a leaf node |
|
get_classes(<ConsensusPartition>)
|
Get subgroup labels |
|
get_classes(<ConsensusPartitionList>)
|
Get subgroup labels |
|
get_classes(<DownSamplingConsensusPartition>)
|
Get subgroup labels |
|
get_classes(<HierarchicalPartition>)
|
Get class IDs from the HierarchicalPartition object |
|
get_classes-dispatch
|
Method dispatch page for get_classes |
|
get_consensus(<ConsensusPartition>)
|
Get consensus matrix |
|
get_matrix(<ConsensusPartition>)
|
Get the original matrix |
|
get_matrix(<ConsensusPartitionList>)
|
Get the original matrix |
|
get_matrix(<HierarchicalPartition>)
|
Get the original matrix |
|
get_matrix-dispatch
|
Method dispatch page for get_matrix |
|
get_membership(<ConsensusPartition>)
|
Get membership matrix |
|
get_membership(<ConsensusPartitionList>)
|
Get membership matrix |
|
get_membership-dispatch
|
Method dispatch page for get_membership |
|
get_param(<ConsensusPartition>)
|
Get parameters |
|
get_signatures(<ConsensusPartition>)
|
Get signature rows |
|
get_signatures(<DownSamplingConsensusPartition>)
|
Get signature rows |
|
get_signatures(<HierarchicalPartition>)
|
Get signatures rows |
|
get_signatures-dispatch
|
Method dispatch page for get_signatures |
|
get_stats(<ConsensusPartition>)
|
Get statistics |
|
get_stats(<ConsensusPartitionList>)
|
Get statistics |
|
get_stats-dispatch
|
Method dispatch page for get_stats |
|
golub_cola
|
Example ConsensusPartitionList object from Golub dataset |
|
golub_cola_ds
|
Example DownSamplingConsensusPartition object from Golub dataset |
|
golub_cola_rh
|
Example HierarchicalPartition object from Golub dataset |
|
hierarchical_partition()
|
Hierarchical partition |
|
is_best_k(<ConsensusPartition>)
|
Test whether the current k is the best/optional k |
|
is_best_k(<ConsensusPartitionList>)
|
Test whether the current k is the best/optional k |
|
is_best_k-dispatch
|
Method dispatch page for is_best_k |
|
is_leaf_node(<HierarchicalPartition>)
|
Test whether a node is a leaf node |
|
is_stable_k(<ConsensusPartition>)
|
Test whether the current k corresponds to a stable partition |
|
is_stable_k(<ConsensusPartitionList>)
|
Test whether the current k corresponds to a stable partition |
|
is_stable_k-dispatch
|
Method dispatch page for is_stable_k |
|
knee_finder2()
|
Find the knee/elbow of a list of sorted points |
|
knitr_add_tab_item()
|
Add JavaScript tab in the report |
|
knitr_insert_tabs()
|
Generate the HTML fragment for the JavaScript tabs |
|
map_to_entrez_id()
|
Map to Entrez IDs |
|
max_depth(<HierarchicalPartition>)
|
Max depth of the hierarchy |
|
membership_heatmap(<ConsensusPartition>)
|
Heatmap of membership in each partition |
|
merge_node(<HierarchicalPartition>)
|
Merge node |
|
merge_node_param()
|
Parameters to merge branches in subgroup dendrogram. |
|
ncol(<ConsensusPartition>)
|
Number of columns in the matrix |
|
ncol(<ConsensusPartitionList>)
|
Number of columns in the matrix |
|
ncol(<DownSamplingConsensusPartition>)
|
Number of columns in the matrix |
|
ncol(<HierarchicalPartition>)
|
Number of columns in the matrix |
|
ncol-dispatch
|
Method dispatch page for ncol |
|
node_info(<HierarchicalPartition>)
|
Information on the nodes |
|
node_level(<HierarchicalPartition>)
|
Information on the nodes |
|
nrow(<ConsensusPartition>)
|
Number of rows in the matrix |
|
nrow(<ConsensusPartitionList>)
|
Number of rows in the matrix |
|
nrow(<HierarchicalPartition>)
|
Number of rows in the matrix |
|
nrow-dispatch
|
Method dispatch page for nrow |
|
plot_ecdf(<ConsensusPartition>)
|
Plot the empirical cumulative distribution (eCDF) curve of the consensus matrix |
|
predict_classes(<ConsensusPartition>)
|
Predict classes for new samples based on cola classification |
|
predict_classes-dispatch
|
Method dispatch page for predict_classes |
|
predict_classes(<matrix>)
|
Predict classes for new samples based on signature centroid matrix |
|
print(<hc_table_suggest_best_k>)
|
Print the hc_table_suggest_best_k object |
|
recalc_stats()
|
Recalculate statistics in the ConsensusPartitionList object |
|
register_NMF()
|
Register NMF partitioning method |
|
register_SOM()
|
Register SOM partitioning method |
|
register_partition_methods()
|
Register user-defined partitioning methods |
|
register_top_value_methods()
|
Register user-defined top-value methods |
|
relabel_class()
|
Relabel class labels according to the reference labels |
|
remove_partition_methods()
|
Remove partitioning methods |
|
remove_top_value_methods()
|
Remove top-value methods |
|
rownames(<ConsensusPartition>)
|
Row names of the matrix |
|
rownames(<ConsensusPartitionList>)
|
Row names of the matrix |
|
rownames(<HierarchicalPartition>)
|
Row names of the matrix |
|
rownames-dispatch
|
Method dispatch page for rownames |
|
run_all_consensus_partition_methods()
|
Consensus partitioning for all combinations of methods |
|
select_partition_number(<ConsensusPartition>)
|
Several plots for determining the optimized number of subgroups |
|
show(<ConsensusPartition>)
|
Print the ConsensusPartition object |
|
show(<ConsensusPartitionList>)
|
Print the ConsensusPartitionList object |
|
show(<DownSamplingConsensusPartition>)
|
Print the DownSamplingConsensusPartition object |
|
show(<HierarchicalPartition>)
|
Print the HierarchicalPartition object |
|
show-dispatch
|
Method dispatch page for show |
|
split_node(<HierarchicalPartition>)
|
Split node |
|
suggest_best_k(<ConsensusPartition>)
|
Suggest the best number of subgroups |
|
suggest_best_k(<ConsensusPartitionList>)
|
Suggest the best number of subgroups |
|
suggest_best_k(<HierarchicalPartition>)
|
Guess the best number of partitions |
|
suggest_best_k-dispatch
|
Method dispatch page for suggest_best_k |
|
test_between_factors()
|
Test whether a list of factors are correlated |
|
test_to_known_factors(<ConsensusPartition>)
|
Test correspondance between predicted subgroups and known factors |
|
test_to_known_factors(<ConsensusPartitionList>)
|
Test correspondance between predicted classes and known factors |
|
test_to_known_factors(<DownSamplingConsensusPartition>)
|
Test correspondance between predicted subgroups and known factors |
|
test_to_known_factors(<HierarchicalPartition>)
|
Test correspondance between predicted classes and known factors |
|
test_to_known_factors-dispatch
|
Method dispatch page for test_to_known_factors |
|
top_elements_overlap()
|
Overlap of top elements from different metrics |
|
top_rows_heatmap(<ConsensusPartition>)
|
Heatmap of top rows |
|
top_rows_heatmap(<ConsensusPartitionList>)
|
Heatmap of top rows from different top-value methods |
|
top_rows_heatmap(<HierarchicalPartition>)
|
Heatmap of top rows from different top-value methods |
|
top_rows_heatmap-dispatch
|
Method dispatch page for top_rows_heatmap |
|
top_rows_heatmap(<matrix>)
|
Heatmap of top rows from different top-value methods |
|
top_rows_overlap(<ConsensusPartitionList>)
|
Overlap of top rows from different top-value methods |
|
top_rows_overlap(<HierarchicalPartition>)
|
Overlap of top rows on different nodes |
|
top_rows_overlap-dispatch
|
Method dispatch page for top_rows_overlap |
|
top_rows_overlap(<matrix>)
|
Overlap of top rows from different top-value methods |


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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/print.20list.20name.html ---
My first attempt at writing a tactic. I want a tactic that will fail
by printing a list of tactics. I've copy-pasted code by Scott:
meta def get_applicable_lemmas : tactic name := do cs ← attribute.get_instances `applicable, fail -- <what do I put here?>
(Whoops, there was still code that tried to apply the tactics, only failing if none applied. That's now gone.)
Oh, and maybe there is a far easier way to look up all the current applicable lemmas then by writing a failing tactic. If so, I'dd also like to learn that method (-;
I don't quite get what you are tying to do
I want Lean to print me a list of all lemmas that are tagged with applicable
.
Hmmm, can I do this with #print attribute applicable
or something similar?
Where do I what sorts of things I can #print
anyways? So far I've learned two or three incantations by osmosis in this chat. Is this documented anywhere?
#print attribute
is not a valid print command )-;
So, I need to fold \lam n, n.to_string
over this list, right? And I can just use the regular fold. I don't need some meta
-fold.
Because monads are just cool mathematical goodies.
meta def get_applicable_lemmas : tactic unit := do cs ← attribute.get_instances `applicable, tactic.trace (list.foldl (λ s n, name.to_string n ++ ", " ++ s) "" cs)
That seems to do what I want (-;
So, I need to fold
\lam n, n.to_string
over this list, right? And I can just use the regular fold. I don't need somemeta
-fold.
Whilst I'm kind-of out of my depth, I think that the fact that you can use regular fold is one thing that Lean has over Coq. I think that in Coq you have to learn one language to write proofs and then another language to write tactics.
here's another way:
meta def get_applicable_lemmas : tactic unit := do cs ← attribute.get_instances `applicable, cs.mmap' tactic.trace
or attribute.get_instances `applicable >>= list.mmap' tactic.trace
if you want to be clever
Right! That's nice (-;
Of course I should have thought of looking for some map
-like.
here I am using a kind of "meta map" mmap
although this is because I want to map from inside a monad
mmap'
is more of a "for each" or "scan" type function than a map - it doesn't return any output
What is the difference between tactic unit
vs tactic name
vs tactic string
?
that's like asking what the difference is between option unit
and option nat
and option real
If you're passing information around between tactics then you might want to use tactic blah
(which means "blah plus the extra option of failure"), but at the end of it all when you want to run the tactic you may as well return something of type "tactic unit" because no other tactic wants the output.
The changing of the state is not an output of the tactic, that all goes on within the monad
Right. That makes sense.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


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Graph the following system of inequalities:
expr([ "+", [ "*", A_1, "x" ], [ "*", B_1, "y" ] ]) STD_FORM_COMP_1 C_1
y COMP_1 PRETTY_SLOPE_1 x + YINT_1
expr([ "+", [ "*", A_2, "x" ], [ "*", B_2, "y" ] ]) STD_FORM_COMP_2 C_2
y COMP_2 PRETTY_SLOPE_2 x + YINT_2
Convert the first inequality, expr([ "+", [ "*", A_1, "x" ], [ "*", B_1, "y" ] ]) STD_FORM_COMP_1 C_1
,
to slope-intercept form by solving for y
.
A_1 < 0 ? "Add" : "Subtract" abs( A_1 )x
A_1 < 0 ? "to" : "from" both sides:
\qquad expr( [ "*", B_1, "y" ] ) STD_FORM_COMP_1 expr([ "+", [ "*", -A_1, "x" ], C_1 ])
Divide both sides by B_1
. Since you're multiplying or dividing by a negative number, don't forget to flip the inequality sign:
\qquad y COMP_1 expr([ "+", "\\dfrac{" + expr([ "*", -A_1, "x" ]) + "}{" + B_1 + "}", "\\dfrac{" + C_1 + "}{" + B_1 + "}" ])
\qquad y COMP_1 \color{purple}{PRETTY_SLOPE_1} x \color{gray}{+ YINT_1}
The y-intercept is YINT_1
and the slope is decimalFraction( SLOPE_1, true, true )
.
Since the y-intercept is YINT_1
, the line must pass through the point (0, YINT_1)
.
The slope is decimalFraction( SLOPE_1, true, true )
. Remember that
the slope tells you rise over run. So in this case for every
abs( SLOPE_FRAC_1[0] )
"position" + ( abs( SLOPE_FRAC_1[0] ) !== 1 ? "s" : "" )
you move
down (because it's negative)
up
you must also move
SLOPE_FRAC_1[1]
"position" + ( abs( SLOPE_FRAC_1[1] ) !== 1 ? "s" : "" )
to the right. So the line must also pass through (SLOPE_FRAC_1[1], YINT_1 + SLOPE_FRAC_1[0])
Since our inequality has a LESS_THAN_1 ? "less-than" : "greater-than"INCLUSIVE_1 ? " or equal to" : "" sign, that means that any point LESS_THAN_1 ? "below" : "above" the line is a solution to the inequality, so the area LESS_THAN_1 ? "below" : "above" the line should be shaded.
Note that since the sign is LESS_THAN_1 ? "less-than" : "greater-than" or equal to, any point on the line is also a solution, so the line should be solid.
Note that since the sign is LESS_THAN_1 ? "less-than" : "greater-than" (and not equal to), any point on the line is not part of the solution, so the line should be dashed to indicate this.
Convert the second inequality, expr([ "+", [ "*", A_2, "x" ], [ "*", B_2, "y" ] ]) STD_FORM_COMP_2 C_2
,
to slope-intercept form by solving for y
.
A_2 < 0 ? "Add" : "Subtract" abs( A_2 )x
A_2 < 0 ? "to" : "from" both sides:
\qquad expr( [ "*", B_2, "y" ] ) STD_FORM_COMP_2 expr([ "+", [ "*", -A_2, "x" ], C_2 ])
Divide both sides by B_2
. Since you're multiplying or dividing by a negative number, don't forget to flip the inequality sign:
\qquad y COMP_2 expr([ "+", "\\dfrac{" + expr([ "*", -A_2, "x" ]) + "}{" + B_2 + "}", "\\dfrac{" + C_2 + "}{" + B_2 + "}" ])
\qquad y COMP_2 \color{purple}{PRETTY_SLOPE_2} x \color{gray}{+ YINT_2}
The y-intercept is YINT_2
and the slope is decimalFraction( SLOPE_2, true, true )
.
Since the y-intercept is YINT_2
, the line must pass through the point (0, YINT_2)
.
The slope is decimalFraction( SLOPE_2, true, true )
. Remember that
the slope tells you rise over run. So in this case for every
abs( SLOPE_FRAC_2[0] )
"position" + ( abs( SLOPE_FRAC_2[0] ) !== 1 ? "s" : "" )
you move
down (because it's negative)
up
you must also move
SLOPE_FRAC_2[1]
"position" + ( abs( SLOPE_FRAC_2[1] ) !== 1 ? "s" : "" )
to the right. So the line must also pass through (SLOPE_FRAC_2[1], YINT_2 + SLOPE_FRAC_2[0])
Since our inequality has a LESS_THAN_2 ? "less-than" : "greater-than"INCLUSIVE_2 ? " or equal to" : "" sign, that means that any point LESS_THAN_2 ? "below" : "above" the line is a solution to the inequality, so the area LESS_THAN_2 ? "below" : "above" the line should be shaded.
Note that since the sign is LESS_THAN_2 ? "less-than" : "greater-than" or equal to, any point on the line is also a solution, so the line should be solid.
Note that since the sign is LESS_THAN_2 ? "less-than" : "greater-than" (and not equal to), any point on the line is not part of the solution, so the line should be dashed to indicate this.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Preheat the oven to 200C/390F/Gas 6.
To make the herb crust, mix together the herbs, garlic, olive oil and honey. Roll the pork fillet in the mixture to coat well.
Heat a pan until it's red-hot. Add the herb-crusted pork and sear for one minute on each side. Transfer to the oven and cook for a further ten minutes. Remove the pork and leave to rest for at least five minutes before serving.
In a clean pan, heat the butter until it foams. Add the onion and apple and cook them together for two minutes. Add the lentils and cider, and give them a few seconds of cooking time before you add the honey and mustard. Let the lentils warm for 2-3 minutes, then season and add the parsley. The idea is to leave enough 'cidery' liquid in the lentils to provide a sauce.
At the last minute, stir in the butter to thicken the sauce.
Carve the pork into 1cm (0.5in) thick chunks. Lay the pork slices onto the mash and spoon the lentils and liquor all around.


Project Team
A successful project requires many people to play many roles. Some members write code or documentation, while others are valuable as testers, submitting patches and suggestions.
The project team is comprised of Members and Contributors. Members have direct access to the source of a project and actively evolve the code-base. Contributors improve the project through submission of patches and suggestions to the Members. The number of Contributors to the project is unbounded. Get involved today. All contributions to the project are greatly appreciated.
Members
The following is a list of developers with commit privileges that have directly contributed to the project in one way or another.
| Image | Id | Name | URL | Organization | Organization URL | Roles | |
|---|---|---|---|---|---|---|---|
| sebawagner | Sebastian Wagner |<EMAIL_ADDRESS>| https://twitter.com/#!/dead_lock | - | - | architect, developer, pmc | |
| solomax | Maxim Solodovnik |<EMAIL_ADDRESS>| - | Unipro | http://unipro.ru | chair, architect, developer, pmc | |
| vdegtyarev | Vasiliy Degtyarev |<EMAIL_ADDRESS>| - | Unipro | http://unipro.ru | developer, tester, pmc | |
| iarkh | Irina Arkhipets |<EMAIL_ADDRESS>| - | Unipro | http://unipro.ru | support, pmc | |
| susheeljalali | Susheel Jalali |<EMAIL_ADDRESS>| - | Coscend | http://www.Coscend.com | developer, pmc | |
| dkandrov | Denis Kandrov | - | - | Unipro | http://unipro.ru | support, pmc | |
| aaf | Alexei Fedotov |<EMAIL_ADDRESS>| - | - | http://dataved.ru | support, pmc | |
| - | Evgeny Rovinsky | - | - | - | - | - | |
| - | Oliver Becherer | - | - | - | - | - | |
| - | Eugen Schwert | - | - | - | - | - | |
| sxander | Sascha Xander | - | - | - | - | - | |
| - | Johnny Strom | - | - | - | - | - | |
| - | Timur Tleukenov | - | - | Unipro | http://unipro.ru | developer, pmc | |
| albus | Alvaro Bustos |<EMAIL_ADDRESS>| - | - | - | pmc | |
| - | George Kirkham | - | - | - | - | - | |
| - | Stephen Cottham | - | - | - | - | - | |
| - | Yulia Algaer | - | - | Unipro | http://unipro.ru | - | |
| - | Artyom Horuzhenko | - | - | - | - | - | |
| daehn | Peter Dähn | - | - | VCRP | http://www.vcrp.de | - | |
| onoke | Keiji Ono | - | - | net8 | http://net8.co.jp/ | - |


This assigment is a simple tutorial on how to create a new webpage on the production server. Links leading to other helpful websites are also included to help better understand each step.
- Create a new folder called "listsandlinks" in your repository folder.
- Inside listsandlinks create a file called "index.html" and a file called "main.css"
- In index.html create an ordered list of step by step instructions to create a new webpage on the production server.
- Also create an unordered list of 5 or more links to websites with useful webdesign related information.
- In the nav section, create an unordered list of links to with a link back to your main index page.
- In your main index.html file in public_html, add an unordered list of links to the nav section with a link to "listsandlinks"
- Add an article with a heading and a paragraph description of this assignment. Also add an unordered list that contains this list of requirements.
- Turn in your work.


{{site.user_description}}
Siemens and Allen Bradley PLC Programming & Fault Finding expertise.
Allen Bradley Panelview 1400, Panelview Plus, Siemens Touchpanels, SICK Barcode Scanners
Experience with ABB and KUKU robotics and KRL programming.


Favorite Books &/Or Their Authors
Fantasy
- Robert Jordan
- The Wheel of Time
- The Eye of The World
- The Great Hunt
- The Dragon Reborn
- The Shadow Rising
- The Fires of Heaven
- Lord of Chaos
- A Crown of Swords
- The Path of Daggers
- Winter’s Heart
- Crossroads of Twilight
- Knife of Dreams
- The Gathering Storm
- Towers of Midnight
- A Memory of Light
- Brendan Sanderson
- The Stormlight Archives
- The Way of Kings
- Words of Radiance
- Oathbringer
- The Mistborn Series
- Original Trilogy
- The Final Empire
- The Well of Ascension
- The Hero of Ages
- Wax & Wayne Books series
- The Alloy of Law
- Shadows of Self
- The Bands of Mourning
- The Lost Metal (Release date TBD)
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pgblog
A musician tackles code
Silicon Valley and its clones around the country and the world are primarily focussed on developing viable businesses. The operative question is: how can I pay my employees competitively and ensure a return to my investors?
Of course, all industries are organized in this manner, and it seems pollyannaish to suggest that things ought to change. Still, considering the potential of technology to lead the way in uncovering the causes and solutions to real-world problems, it seems that every time someone obtains funding for yet another new social network, one might be forgiven wondering if that startup money might not be better spent on creating solutions for environmental problems or institutionalized bigotry.
To be sure, philanthropic causes have been addressed in the tech world, and to accuse the coding community of living in a bubble is to succumb to a rather unfair stereotype. Awareness of social and ecological causes among the tech sector is (I speculate!) higher than in the average population. However, it seems that the kinds of initiatives that grab headlines for their social value are too little, too late, or few and far between... I conceive you may use any cliche you choose... Whether you organize a hackathon or you allocate resources for weekend keyboard-warriors to devote their intellectual power to crowdsourcing poverty alleviation initiatives, your well-deserved pat on the back may tend to obscure the fact that all that is being done, so far, is a collective drop in the bucket.
In this environment, the big firms such as Yahoo, Google, or Facebook need to be more frank about the ineffectiveness of merely informing oneself and one's peers by signing petitions or distributing social-consciousness clickbait. It's not enough that awareness of environmental issues or economic disparities spreads, but we must also be aware that awareness is not enough.
The U.S. citizenry is not accustomed to collective action, let alone to government-mandated changes in attitude -- for better or worse, our societal attitudes are biased toward scattered energy and ephemeral, short-attention-span-rewarding undertakings. I don't know a solution to this problem, and I am relatively pessimistic about whether the principles of spontaneous self-organization found in nature (see illustration) will happen in society. It's a cool idea, but people are not starlings...
Can we strike a balance between the US-American concept of individual liberty and the need, more urgent than ever, for unified action? Bwuh? Oh, look, a squirrel!


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OpenM++ runtime library (libopenm)
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OpenM++ modeling library: public base class for run controller to run modeling process. More...
Go to the source code of this file.
Classes | |
| class | openm::RunController |
| run controller: create new model run(s) and support data exchange. More... | |
| struct | openm::RunController::EntityAttrItem |
| entity attribute item to write microdata into database or csv file More... | |
| struct | openm::RunController::EntityItem |
| entity item to write microdata into database or csv file More... | |
| struct | openm::RunController::IRowsFirstNext |
| interface to opaque list of bytes rows More... | |
| struct | openm::RunController::ListFirstNext |
| list of bytes rows wrapped into IRowsFirstNext interface More... | |
| struct | openm::RunController::BytesFirstNext |
| array of bytes rows wrapped into IRowsFirstNext interface More... | |
Namespaces | |
| openm | |
| openM++ namespace | |
OpenM++ modeling library: public base class for run controller to run modeling process.


[1]
you could find a few channels bed was actually decent.
[2]
i saw some people wading through it but i probably would n't.


Instructions
Select all
/api/characters?limit=X
Input the limit as a number instead of X
If no limit is provided all characters will be shown.
Search
/api/characters/[character_name]
You need to input full name separated with "_".
Add
/api/characters?name=new_name
You need to send an object with all the necessary fields.
It can be only tested with tools like Insomnia or Postman.
{
"characterName": "Mia",
"houseName": "Targaryen",
"characterImageThumb": "https://imageThumb.jpg",
"characterImageFull": "https://imageFull.jpg",
"actorName": null,
"killed": ["Dragon"],
"killedBy": null
}
Update
/api/characters/[character_name]?name=new_name
At the moment you can only edit names.
It can be only tested with tools like Insomnia or Postman.
Delete
/api/characters/[character_name]
It can be only tested with tools like Insomnia or Postman.


 As tired as we were, none of us could sleep (I thought that had worn off!)
'So, uh, do you want to go smoke in my garage?'
I was mixing things again, but I remember hearing that you should never mix alcohol with bennys.. something about that specific combination, it shuts down your respiratory system, you go into a coma, you just stop breathing. Not to mention, that taking those pills alone is something, but the last cocktail with those, I barely needed any and my brain was smashing into walls. I said I didn't want to take as many pills that were already on the table for me. I'd already explained the mixing with alcohol part. I was thinking, what if those last 2 pills killed me? We wasted a bit of time laughing uncontrollably over the fact that it was around 8 in the morning. Those last 2 pills.. well, I already knew I was going to take them.
We wandered back into the living room. All of the things we'd just done can make me terribly tired, so she said she'd go to sleep. I drew pictures with an orange marker - strange ones without thinking - and occasionally looked over to be sure her chest was still rising and falling. It had all started to kick in... I forced myself to stay awake, not trusting what would happen if I didn't. I was so tired... I watched my breathing once it felt like I'd forget to take a breath if I didn't. Deep, slow breaths.
My hands were turning blue.
I stared at them for a minute before waking her up (she'd never really slept anyways). Her hands were just as blue. We looked at our feet and our arms and our legs. 'Fuck...'
We woke up Lisa (who I don't think had ever fallen asleep) and made her look. She told us they looked normal. Normal?! Our skin, looking pale and blueish, like zombies, our fingers and toes losing touch - normal?!
I kept forgetting where I was, I was kind of stuck in that dreamlike feeling of tripping, it felt like I was falling asleep with my eyes open, until I'd come back to the room and the realization that I was losing circulation. Sarah and I sat on the couch and looked at each other. Hospitals and stomach pumps? We couldn't think. Lisa, meanwhile, kept trying to tell us that we were making it up, it was the lighting, we were tripping. Sarah and I looked at her with the same face - are you kidding? We sat in an anxious, confused state for a while, not sure of what to do, and constantly looking at our hands. It wasn't getting worse, nor better, but we were still blue and shaking and lost. We considered making ourselves throw-up, and I did have a couple minutes alone over the toilet.
We went into the kitchen to call AJ and see what he had to say. I sat on the floor, I didn't trust that I could stand. AJ, like Lisa, tried to tell us it was nothing.
At some point, during waiting and worrying, time stopped going so slow, maybe other things were wearing off. By the time AJ got there, my hands and everything were back to normal, although I was still too shaken and trippy to feel alright. We walked home. As if the whole 'day after' thing wasn't bad, I had no sleep and a panicked morning on this 'day after'..  I still do, and judging by the way my head feels heavy, the loss of words and clear thinking, the worry without reason.. I'm still coming down (sigh.)
I don't know if my hands were really as blue as I saw them, I don't know how much was in my head. But it was the worst feeling, of worry and dread and panic and .. now I understand the words BAD TRIP.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.