scatterbytes.client package¶
Submodules¶
scatterbytes.client.chunk module¶
handles splitting and recombining files
- class scatterbytes.client.chunk.ClientChunk(file_path)[source]¶
Bases: scatterbytes.chunk.Chunk
- scatterbytes.client.chunk.calc_chunk_sizes(data_size, min_chunk_size=999996, tgt_chunk_size=1499996, max_chunk_size=1999996)[source]¶
Figure out the best chunk size
subtract 4 to leave room for the 4 byte checksum
- scatterbytes.client.chunk.combine_chunks(chunks, output_path, decompress=False, encrypt_key=None)[source]¶
rebuild the original file from chunks
- scatterbytes.client.chunk.read_chunk_dir(chunk_dir, prefix='chunk')[source]¶
generate a list of ClientChunks for chunk_dir
- scatterbytes.client.chunk.split_file(file_path, chunk_output_dir, compress=True, encrypt_key=None)[source]¶
split the file into chunks
returns a list of ClientChunk objects
- compress
- compress with gzip
- encrypt_key
- 128 bit key used for AES encryption
128 bit key recommended by Schneier https://www.schneier.com/blog/archives/2009/07/another_new_aes.html
scatterbytes.client.downloader module¶
- class scatterbytes.client.downloader.DownloadLog(dir_path, name=None)[source]¶
Bases: scatterbytes.client.util.ChunkTransferLog
- dt_re = <_sre.SRE_Pattern object at 0x2800000>¶
- name = 'downloads.log'¶
- class scatterbytes.client.downloader.DownloadWorkerThread(sn_proxy_creator, chunk_job_queue, chunk_job_complete_queue, chunk_job_failed_queue)[source]¶
Bases: threading.Thread
- class scatterbytes.client.downloader.SplitChunk(chunk_dir, chunk_info)[source]¶
Bases: object
Chunk split into segments for downloading.
keeps state of downloaded parts for a chunk
- complete
- all segments downloaded and chunk is complete
- min_segment_size = 100000¶
- class scatterbytes.client.downloader.ThreadedDownloader(file_info, control_node_proxy, snode_proxy_creator, thread_count, encrypt_passphrase, output_path, download_dir)[source]¶
Bases: object
downloads all chunks and recombines them
- file_info
- information about the file from the control node
- thread_count
- number of download threads to spawn
- output_path
- path to save the downloaded file
- download_dir
- directory where all downloaded files are stored. The downloaded file will be stored under a subdirectory using the volume name and a hash of the file name.
- chunk_download_dir
- dirctory where chunks for this specific download are stored - hash of the volume name and file name
- sleep_period = 0.1¶
scatterbytes.client.jsonrpc module¶
scatterbytes.client.node module¶
client node
The client uploads files to storage nodes. Files are split into chunks, optionally compressed and encrypted, then uploaded to storage nodes. The control node tracks where each file chunk is stored.
- class scatterbytes.client.node.ClientNode(control_node_proxy=None, snode_proxy_creator=None, config=None)[source]¶
Bases: scatterbytes.node.UserNode
client node for sending and retrieving files
- control_node_proxy
- proxy for the control node
- config_class¶
alias of ClientNodeConfig
- download_file(file_name, output_path, volume_name=None, thread_count=None, overwrite_output=False)[source]¶
- find_files(volume_name, search_criteria, detail_level=0)[source]¶
find files matching search criteria
- volume_name
- name of the volume to search on
- search_criteria
list of tuples containing expressions for search example:
- [‘AND’,
(‘author’, ‘=’, ‘Joe Smith’), (
‘OR’, (‘filetype’, ‘=’, ‘jpg’), (‘filetype’, ‘=’, ‘tif’) (‘filetype’, ‘=’, ‘gif’))
]
Both operands and conjunctions can be negated by prepending a ”!” character. For example:
[‘!AND’, (‘author’, ‘!=’, ‘Joe Smith’), (
‘OR’, (‘filetype’, ‘=’, ‘jpg’), (‘filetype’, ‘=’, ‘tif’) (‘filetype’, ‘=’, ‘gif’))
]
- prepare_file(file_path, encrypt=True, compress=True)[source]¶
Prepare a file for uploading.
- encrypt
- encrypt using AES-128
- compress
- compress using zlib
- retrieve_chunk(snode_proxy, snode_args, chunk_md5sum)[source]¶
Retrieve the chunk from the node given in node_info.
- upload_file_chunks(file_chunks_path, volume_name=None, thread_count=None, file_name=None, metadata=None)[source]¶
Upload file chunks to the ScatterBytes network.
The file should already be chunked using the prepare_file method. If an upload was interruped, it will be resumed.
- file_chunks_path
- path to the file chunks being uploaded
- thread_count
- number of concurrent upload threads to spawn
- file_name
- name to assign it - If not given, the file path will be used.
- metadata
- a dict containing extra metadata to be stored with the file.
- class scatterbytes.client.node.ClientNodeConfig(config_path=None)[source]¶
Bases: scatterbytes.config.ConfigBase
ClientNode configuration
- config_name = 'client_node.config'¶
- defaults = {'encrypt_key_iterations': ('data_prep', 10000, 'int'), 'upload_thread_count': ('transfer', 3, 'int'), 'download_thread_count': ('transfer', 10, 'int'), 'control_node_address': ('network', 'controlnode.test.scatterbytes.net', None), 'compress': ('data_prep', True, 'boolean'), 'encrypt_passphrase': ('data_prep', '', None), 'node_id': ('main', '', None), 'debug': ('main', True, 'boolean'), 'control_node_port': ('network', 8080, 'int'), 'encrypt': ('data_prep', True, 'boolean')}¶
- log_filename = 'scatterbytes_client_node.log'¶
- sections = ['main', 'network', 'data_prep', 'transfer']¶
- class scatterbytes.client.node.FileChunkInfo[source]¶
Bases: object
information about a chunked file
The information includes if a file is encrypted or compressed, and the volume name, file name, and ID of the file on the Control Node.
- class scatterbytes.client.node.ThreadedUploader(cn_proxy, sn_proxy_creator, volume_name, file_name, chunks, upload_thread_count, upload_log)[source]¶
Bases: threading.Thread
chunk uploader that uses a worker thread per chunk
Chunks are sequenced according to their file name (e.g. chunk_0001). References to chunks on the control node are by volume_name, file_name, and chunk sequence number.
- class scatterbytes.client.node.UploadLog(dir_path, name=None)[source]¶
Bases: scatterbytes.client.util.ChunkTransferLog
- name = 'uploads.log'¶


CLASS OF 1999 A review in the public domain by The Phantom<EMAIL_ADDRESS>Though the Phantom usually apologizes for taking longer than a few days in getting his reviews to his phans, in this case no apology is really needed, since the Phantom, in a departure from his usual verbose style, is going to advise his phans up front to sit out Mark Lester's somewhat entertaining but rather lame sequel to his 1982 cult favorite, CLASS OF 1984, or at least wait for its Blockbusters debut in a few months. (Now imagine that sentence had the Phantom *not* departed from his usual verbose style.)
For those phans not familiar with Lester's earlier work, CLASS OF 1984 was intended to be an updating of the schoolroom chaos classic THE BLACKBOARD JUNGLE. The idea was much the same -- a naive teacher comes to a troubled inner city school and is forced to contend with a gang of thugs who do everything they can to discourage him from teaching. Sadly, BLACKBOARD JUNGLE seems fairly tame and dated by our contemporary standards, and it is no doubt for this reason that Lester went to great lengths to make things in CLASS OF 1984 just a little more outrageous than the reality of even the most troubled school. Yes, many city schools now force students to submit to metal detectors, but at least there aren't many yet where teachers are threatened with axes, or where students are pushed into buzz saws, or where teachers go berserk and teach their biology classes at gunpoint. At least not yet (though had someone suggested the possibility of teaching at gunpoint to a certain frustrated high school chemistry teacher the Phantom remembers, chances are the teacher would at least have raised the possibility with the school board and teachers' union).
CLASS OF 1984 wasn't a great film, but it was a lot of fun. One reason for its success is the shear obviousness of its plot. It's something so familiar and comfortable to us -- we know just how the entire film will progress, we know that there won't be any unpleasant and surprising plot twists, and we know that if we decide to watch our microwave popcorn for the whole four minutes, we really won't miss that much. We've seen it all before, but while obviousness is a serious drawback in other genres, it is sometimes a distinct plus when it comes to horror films. Why else do we so eagerly await each of Freddy, Michael, and Jason's new installments? Of course we know that the teacher will win out in the end, and of course we know that all those awful students will get just what they deserve before the credits roll. To be fair, Timothy Van Patten also had a lot to do with CLASS OF 1984's success: his over-the-top performance as a combination sociopath and accomplished but frustrated pianist added a spark of life (and more than a little camp) to what otherwise might have been an ordinary, run-of-the-mill revenge film. And seeing Michael "I haven't added the 'J' yet" Fox play a frightened freshmen is alone worth the price of admission; his incredibly melodramatic "performance" in this cheap exploitation flick is likely to be a little further back to the future than he would care to remember at this point in his career.
Lester's latest, CLASS OF 1999, isn't exactly a sequel, since all the bad guys get theirs at the end of CLASS OF 1984; instead, it's more like a spinoff. And in this season of high concept horror films, CLASS OF 1999 is no exception. The high concept pitch? "OK, imagine ROBOCOP meets THE TERMINATOR, but with teachers, not cops. Things get so bad in the schools they have to hire androids to teach, but they lose control of them and..." The Phantom was disappointed that the print ads didn't feature an original slogan like "Meet the future of classroom instruction," though perhaps the fear of litigation stifled the producers' creative impulses.
But like many high concept films, CLASS OF 1999 suffers from a distinct lack focus. It starts in the same vein as ROBOCOP, complete with a bleak vision of the future, a future where most schools are declared free-fire zones, students are asked to check their automatic weapons at the door (to be picked up after school ends), and the government agency charged with educating our nation's youth is the Department of Educational Defense. The joke here is that the students have made it so difficult for average teachers (i.e., human teachers) to teach that the Department and the school board of a beleaguered Seattle school resort to extreme measures: they decide to try using experimental androids to teach classes and restore order in the school. Since the androids look human enough (well, human enough to pass for teachers, anyway), the students don't realize what's happening until it's too late.
Had Lester stuck with this theme (as Paul Verhoeven did with ROBOCOP), he might have had something here; alas, Lester is no Verhoeven. Instead, he chickens out and turns CLASS OF 1999 into a TERMINATOR clone about half way through. Unfortunately, although both ROBOCOP and THE TERMINATOR deal with future technology and specifically with androids and how they interact with people, they're fundamentally different films. It would have made no sense for Peter Weller to suddenly lose his mind and start killing innocent people, just as it would have made no sense for Schwarzenegger (had to look that one up, phans -- the Phantom can never remember how many Z's go on the marquee) to fall in love; to their credit, neither Verhoeven nor Cameron stray from the single point of focus in their respective films -- that's what makes them great directors. Lester, however, is basically a hack, and he makes the mistake of assuming that if one idea is good, then two are even better (the Phantom hereby dubs this "THE FIRST POWER syndrome," in honor of one of the silliest and most overplotted horror films in recent memory).
There was an echo of CLASS OF 1999 in CLASS OF 1984, when toward the end Malcolm McDowell, who played a burnt-out and hard-drinking biology teacher, finally cracks after Timothy Van Patten and pals kill his laboratory animals (and specifically put his favorite lab rabbit on a rotisserie, FATAL ATTRACTION-style). McDowell is found holding a gun on his biology class, forcing them to learn or die.
Without a doubt, there is something undeniably funny about a biology teacher holding a .32 to a student's head and asking her how many chambers the human heart has -- "Come on now, you know this! It's very important that you try to remember..." But instead of expanding on this idea (furthering the already outrageous joke by making the teachers inhuman robots), Lester decides to go the TERMINATOR route and turn CLASS OF 1999 into a bad remake of that hunt-and-destroy classic. The teachers, you see, are really army-surplus, and the unscrupulous head of MegaTech (played by Stacy Keach with a white mane of hair and Star Trek-style contacts in his eyes) knows that with a little reprogramming he can pass them off as fully certified classroom instruction units. But Keach has a hidden agenda: he knows that once the "teachers" get a taste of corporal punishment, they'll begin to revert back to their original purpose, and he finally be able to prove to the army how effective they are in combat.
That's really much too much story for such a simple-minded film, and though there are dozens of great scenes and lots of great ideas scattered through, CLASS OF 1999 just can't support all that plot. Instead, it winds up as another candidate for our ever-expanding "half-film festival." Lester would have been better advised to stick to the successful formula of CLASS OF 1984 -- the kind of formula that makes Troma films (like the TOXIC AVENGER series) so enjoyable -- rather than try to take a stab at creating a fully realized future world that's part ROAD WARRIOR, part ROBOCOP, part TERMINATOR, but only partly successful.
Still, how can you not enjoy seeing an android teacher approach an unruly student and go through a menu of possible responses in his heads-up display [ (1) educate, (2) reprimand, (3) discipline ]? And how can you help but enjoy the little throwaway touches throughout the film (like the Orwellian electronic signs in the school, urging the students to "LEARN" and "OBEY")? And to the film's credit, the creature and robot effects are quite good -- at least as good as the effects in the similarly budgeted TERMINATOR.
But in the end, all the individual parts just don't add up to one coherent whole. Every time we think that Lester has finally found his voice, he pulls the rug out from under us and changes the tone of the film once again (usually for the worse). By the film's end, we're just biding our time until the teachers can all be exterminated by the rival gangs of students (who have, in a wonderful moment of classic film cliche, shook hands and joined to fight their common enemy). And we do this only because Lester holds out the promise of a TERMINATOR-style ending -- one promise that he does, in fact, deliver on.
With ROBOCOP 2 and TOTAL RECALL arriving in the theaters shortly, there's not much point in seeing CLASS OF 1999; in just a few weeks, it'll all be done better, with better special effects, with higher budgets, and with tee-shirts and Burger King glasses galore. But CLASS OF 1999 is worth seeing once the hoopla of the summer's releases fade and fall is once again upon us.
On the bright side, remember that it did take Lester eight years to bring forth this sub-par sequel to his cultish CLASS OF 1984; if he keeps to this pace, the Phantom won't have to review CLASS OF 2001 (complete with gorillas, space stations, and a tall, black chalkboard that hums) for a good long time.
: The Phantom<EMAIL_ADDRESS>: {cmcl2,uunet}!esquire!baumgart
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


Cryptol
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Read the ColorBrewer database from file and find the colormaps matching the required parameters.
group color_map { int ncolors; string category; string name; int colors[ncolors][3] ; }; module CB_ColorMapCore { string+IPort2 cbFile = "xp_comm_proj/cb_cmap/ColorBrewer_all_schemes_RGBonly3.csv"; int ncats; string categories[ncats]; int catidx; int mapidx; cmap_type_sel selector; omethod+notify_inst+req inst ( cbFile+read+notify+req, ncats+write, categories+write+nosave, cmapptr+write+nosave )="CB_ColorMap_Inst"; ptr cmapptr; omethod+notify_inst+req update ( cmapptr+read+req, selector+read+notify, catidx+read+notify, mapidx+read+notify, ncatmaps+write, catmaps+write, ncmap+write, colormaps+write )="CB_ColorMapCore"; omethod+notify_deinst+req destroy ( cmapptr+read+req )="CB_ColorMap_Destroy"; int ncatmaps; string catmaps[ncatmaps]; int ncmap; color_map colormaps[ncmap]; };
Read the ColorBrewer database from file and find the colormaps matching the required parameters.
ColorBrewer is an online tool for generating colormaps primarily looking at map data but can be used with any type of data and provides much better interpretation of the data than the standard visualization colormaps.
selector
Select on name or number of colors.
catidx
Category index (0 to ncats-1)
mapidx
Name index of colormap type
ncatmaps
Number of colours in selected colormaps
ncmap
Number of colormaps matching requirements
colormaps
Array of the colomaps matching the requirements.
CB_ColormapEg
xp_comm_proj/cb_map/cbcmmods.v contains the color_map and CB_ColorMapParams groups and the CB_ColorMapCore module V definitions.
The ColorBrewer database, ColorBrewer_all_schemes_RGBonly3.csv, is provided under the Apache license agreement. See the file ColorBrewer_all_schemes_RGBonly3.license.txt.
Tino Ernst & Tobias Shriebeck International AVS Centre Research Computing Services Devonshire House, Precinct Centre, University of Manchester Oxford Road Manchester UK M13 9PL
CB_ColorMap


--- layout: post status: publish published: true title: '2016 NLDS Game #1 Post-Game Show - Episode 8.61' author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 12111 wordpress_url: http://ivyenvy.com/?p=12111 date: '2016-10-08 00:13:38 +0000' date_gmt: '2016-10-08 05:13:38 +0000' categories: - Podcast tags: [] comments: [] ---
The Cubs won Game #1 of the 2016 NLDS, backed by an incredible pitching performance by Jon Lester and an 8th inning solo home run by Javier Baez. This episode was recorded moments after the game ended.


Brexit Referendum 2016
voted to leave 21% - 75%
Back to
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This mapbox service expires June 4th, 2020


Case Study¶
1a. Antiviral Drugs Repurposing for SARS-CoV2 3CLPro, using One Line.
Given a new target sequence (e.g. SARS-CoV2 3CL Protease), retrieve a list of repurposing drugs from a curated drug library of 81 antiviral drugs. The Binding Score is the Kd values. Results aggregated from five pretrained model on BindingDB dataset!
from DeepPurpose import oneliner
oneliner.repurpose(*load_SARS_CoV2_Protease_3CL(), *load_antiviral_drugs())
1b. New Target Repurposing using Broad Drug Repurposing Hub, with One Line.
Given a new target sequence (e.g. MMP9), retrieve a list of repurposing drugs from Broad Drug Repurposing Hub, which is the default. Results also aggregated from five pretrained model! Note the drug name here is the Pubchem CID since some drug names in Broad is too long.
from DeepPurpose import oneliner
oneliner.repurpose(*load_MMP9())
2. Repurposing using Customized training data, with One Line.
Given a new target sequence (e.g. SARS-CoV 3CL Pro), training on new data (AID1706 Bioassay), and then retrieve a list of repurposing drugs from a proprietary library (e.g. antiviral drugs). The model can be trained from scratch or finetuned from the pretraining checkpoint!
from DeepPurpose import oneliner
from DeepPurpose.dataset import *
oneliner.repurpose(*load_SARS_CoV_Protease_3CL(), *load_antiviral_drugs(no_cid = True), *load_AID1706_SARS_CoV_3CL(), \
split='HTS', convert_y = False, frac=[0.8,0.1,0.1], pretrained = False, agg = 'max_effect')
A Framework for Drug Target Interaction Prediction, with less than 10 lines of codes.
Under the hood of one model from scratch, a flexible framework for method researchers:
from DeepPurpose import models
from DeepPurpose.utils import *
from DeepPurpose.dataset import *
# Load Data, an array of SMILES for drug,
# an array of Amino Acid Sequence for Target
# and an array of binding values/0-1 label.
# e.g. ['Cc1ccc(CNS(=O)(=O)c2ccc(s2)S(N)(=O)=O)cc1', ...],
# ['MSHHWGYGKHNGPEHWHKDFPIAKGERQSPVDIDTH...', ...],
# [0.46, 0.49, ...]
# In this example, BindingDB with Kd binding score is used.
X_drug, X_target, y = process_BindingDB(download_BindingDB(SAVE_PATH),
y = 'Kd',
binary = False,
convert_to_log = True)
# Type in the encoding names for drug/protein.
drug_encoding, target_encoding = 'MPNN', 'Transformer'
# Data processing, here we select cold protein split setup.
train, val, test = data_process(X_drug, X_target, y,
drug_encoding, target_encoding,
split_method='cold_protein',
frac=[0.7,0.1,0.2])
# Generate new model using default parameters;
# also allow model tuning via input parameters.
config = generate_config(drug_encoding, target_encoding, \
transformer_n_layer_target = 8)
net = models.model_initialize(**config)
# Train the new model.
# Detailed output including a tidy table storing
# validation loss, metrics, AUC curves figures and etc.
# are stored in the ./result folder.
net.train(train, val, test)
# or simply load pretrained model from a model directory path
# or reproduced model name such as DeepDTA
net = models.model_pretrained(MODEL_PATH_DIR or MODEL_NAME)
# Repurpose using the trained model or pre-trained model
# In this example, loading repurposing dataset using
# Broad Repurposing Hub and SARS-CoV 3CL Protease Target.
X_repurpose, drug_name, drug_cid = load_broad_repurposing_hub(SAVE_PATH)
target, target_name = load_SARS_CoV_Protease_3CL()
_ = models.repurpose(X_repurpose, target, net, drug_name, target_name)
# Virtual screening using the trained model or pre-trained model
X_repurpose, drug_name, target, target_name = \
['CCCCCCCOc1cccc(c1)C([O-])=O', ...], ['16007391', ...], \
['MLARRKPVLPALTINPTIAEGPSPTSEGASEANLVDLQKKLEEL...', ...],\
['P36896', 'P00374']
_ = models.virtual_screening(X_repurpose, target, net, drug_name, target_name)


When moving the items in on the Timeline below, they will snap to full hours, independent of being zoomed in or out.


Object Property: 'is caused by'
http://purl.org/biotop/btl2.owl#IsCausedBy
Annotations (2)
-
definition "Causation of a process is here understood as the disjunction between agency (a continuant causes a process) and as the realization of a disposition or a function, i.e. a disposition is considered the cause of a process.
" ()
-
label "is caused by" ()
Inverses (1)
Usage (5)


| W/L | Fighter | Str | Td | Sub | Pass | Weight class | Method | Round | Time |
|---|---|---|---|---|---|---|---|---|---|
|
|
32 14 |
1 0 |
1 0 |
5 0 |
Heavyweight |
SUB Armbar |
2 |
2:41 |
|
|
|
22 35 |
1 2 |
1 0 |
2 0 |
Welterweight |
SUB Arm Triangle |
2 |
4:43 |
|
|
|
37 24 |
0 0 |
0 0 |
0 0 |
Light Heavyweight |
KO/TKO Punch |
1 |
4:29 |
|
|
|
0 0 |
0 0 |
1 0 |
1 0 |
Welterweight |
SUB Armbar |
1 |
1:11 |
|
|
|
8 4 |
1 0 |
1 0 |
2 0 |
Middleweight |
SUB Arm Triangle |
1 |
2:20 |
|
|
|
7 4 |
0 1 |
1 0 |
0 0 |
Featherweight |
SUB Triangle Choke |
1 |
1:24 |
|
|
|
17 14 |
3 0 |
1 0 |
5 0 |
Bantamweight |
SUB Armbar |
2 |
1:51 |
|
|
|
27 4 |
0 1 |
0 0 |
0 2 |
Featherweight |
KO/TKO Elbows |
1 |
3:32 |
|
|
|
33 50 |
3 0 |
0 0 |
0 0 |
Welterweight |
U-DEC
|
3 |
5:00 |
|
|
|
76 102 |
2 0 |
0 0 |
0 0 |
Featherweight |
S-DEC
|
3 |
5:00 |
|
|
|
21 30 |
1 2 |
5 0 |
4 2 |
Middleweight |
SUB Rear Naked Choke |
2 |
2:49 |
|
|
|
6 5 |
1 0 |
1 0 |
1 0 |
Middleweight |
SUB Kneebar |
1 |
1:52 |


| Package | com.flashdynamix.motion.extras |
| Class | public class Emitter |
| Inheritance | Emitter flash.display.Sprite |
| Property | Defined by | ||
|---|---|---|---|
| angle : *
The angle in degrees to allow the particles to move to :
| Emitter | ||
| delay : Number = 0
The amount of delay in seconds before a particle begins to move to its target destination.
| Emitter | ||
| distance : *
The distance to allow particles to move to :
| Emitter | ||
| ease : Function
The ease equation used for the particle motion animations
| Emitter | ||
| endColor : ColorTransform
Allows for tweening the particles color over its lifespan.
This value can be an Object defining the target redOffset, blueOffset, greenOffset etc. Or it can be a ColorTransform defining the end color. | Emitter | ||
| frequency : int
How many particles are created on each ENTER_FRAME.
| Emitter | ||
| holder : Sprite
The container Sprite for particles.
| Emitter | ||
| random : Number
How often particles are created on each ENTER_FRAME.
If 0.5 particles will only be created half the time. | Emitter | ||
| refreshType : String
The timing system currently in use.
This can be either :
| Emitter | ||
| running : Boolean = false
Defines whether the Emitter is rendering.
| Emitter | ||
| scale : Number
Gets the scale of the Emmitter.
| Emitter | ||
| secondsPerFrame : Number | Emitter | ||
| speed : Number
The time in seconds it takes for a particle to get to its end position.
| Emitter | ||
| startDistance : Number = 0
The distance in pixels to start the particle Object at.
| Emitter | ||
| target : Object
Additional properties to tween during the particle's lifespan.
i.e. | Emitter |
| Method | Defined by | ||
|---|---|---|---|
|
Emitter(Particle:Class, target:Object = null, frequency:int = 5, random:Number = 1, angle:Number = 0,360, distance:String = "20", speed:* = 1, blendMode:* = normal)
| Emitter | ||
|
Clones the Emmitter and returns a new instance.
| Emitter | ||
|
dispose():void
Disposes the Emitter Class ready for garbage collection
| Emitter | ||
|
pause():void
Pauses all playing particle tweens.
| Emitter | ||
|
resume():void
Resumes all paused particle tweens.
| Emitter | ||
|
start():void
Starts adding particle tweens on each ENTER_FRAME.
| Emitter | ||
|
stop():void
Stops adding particle tweens on each ENTER_FRAME.
| Emitter |
| Method | Defined by | ||
|---|---|---|---|
|
addEvent(item:EventDispatcher, type:String, liststener:Function, priority:int = 0, useWeakReference:Boolean = true):void
| Emitter | ||
|
removeEvent(item:EventDispatcher, type:String, listener:Function):void
| Emitter |
| angle | property |
public var angle:*
The angle in degrees to allow the particles to move to :
| delay | property |
public var delay:Number = 0
The amount of delay in seconds before a particle begins to move to its target destination.
| distance | property |
public var distance:*
The distance to allow particles to move to :
| ease | property |
public var ease:Function
The ease equation used for the particle motion animations
| endColor | property |
public var endColor:ColorTransform
Allows for tweening the particles color over its lifespan.
This value can be an Object defining the target redOffset, blueOffset, greenOffset etc.
Or it can be a ColorTransform defining the end color.
| frequency | property |
public var frequency:int
How many particles are created on each ENTER_FRAME.
| holder | property |
public var holder:Sprite
The container Sprite for particles.
| random | property |
public var random:Number
How often particles are created on each ENTER_FRAME.
If 0.5 particles will only be created half the time. By default this is set to 1.
| refreshType | property |
refreshType:String
[read-write]
The timing system currently in use.
This can be either :
public function get refreshType():String
public function set refreshType(value:String):void
See also
| running | property |
public var running:Boolean = false
Defines whether the Emitter is rendering.
| scale | property |
scale:Number
[read-write]Gets the scale of the Emmitter.
Implementation public function get scale():Number
public function set scale(value:Number):void
| secondsPerFrame | property |
secondsPerFrame:Number
[read-write]Implementation
public function get secondsPerFrame():Number
public function set secondsPerFrame(value:Number):void
| speed | property |
public var speed:Number
The time in seconds it takes for a particle to get to its end position.
| startDistance | property |
public var startDistance:Number = 0
The distance in pixels to start the particle Object at.
| target | property |
public var target:Object
Additional properties to tween during the particle's lifespan.
i.e. {scaleX:2, scaleY:2} would scale the DisplayObject by a factor of 2 over its lifespan.
| Emitter | () | constructor |
public function Emitter(Particle:Class, target:Object = null, frequency:int = 5, random:Number = 1, angle:Number = 0,360, distance:String = "20", speed:* = 1, blendMode:* = normal)
Parameters
Particle:Class — The DisplayObject Class used to construct particles.
|
|
target:Object (default = null ) — Additional properties to tween during the particle's lifespan.i.e. {scaleX:2, scaleY:2} would scale the DisplayObject by a factor of 2 over its lifespan. |
|
frequency:int (default = 5 ) — How many particles are created on each ENTER_FRAME.
|
|
random:Number (default = 1 ) — How often particles are created on each ENTER_FRAME.If 0.5 particles will only be created half the time. By default this is set to 1. |
|
angle:Number (default = 0,360 ) — The angle in degrees to allow the particles to move to:
|
|
distance:String (default = "20 ") — The distance to allow particles to move to:
|
|
speed:* (default = 1 ) — The time in seconds it takes for a particle to get to its end position.
|
|
blendMode:* (default = normal ) — The BlendMode applied to the particle.
|
| addEvent | () | method |
protected function addEvent(item:EventDispatcher, type:String, liststener:Function, priority:int = 0, useWeakReference:Boolean = true):void
Parameters
item:EventDispatcher |
|
type:String |
|
liststener:Function |
|
priority:int (default = 0 )
|
|
useWeakReference:Boolean (default = true )
|
| clone | () | method |
| dispose | () | method |
public function dispose():void
Disposes the Emitter Class ready for garbage collection
| pause | () | method |
public function pause():void
Pauses all playing particle tweens.
| removeEvent | () | method |
protected function removeEvent(item:EventDispatcher, type:String, listener:Function):void
Parameters
item:EventDispatcher |
|
type:String |
|
listener:Function |
| resume | () | method |
public function resume():void
Resumes all paused particle tweens.
| start | () | method |
public function start():void
Starts adding particle tweens on each ENTER_FRAME.
| stop | () | method |
public function stop():void
Stops adding particle tweens on each ENTER_FRAME. Though doesnt stop current particle tweens.


[1]
too many too list; -no flash. -no camera. -no microphone
[2]
Outboard Volume Controls, Slimmer Form Factor; None That Are A Deal-Breaker
[3]
See Below, It would not fit; See Below, It would not fit


--- layout: page title: Rating Scale date: 2020-05-05 15:30:58.000000000 -04:00 type: page parent_id: '0' published: true password: '' status: publish categories: [] tags: [] meta: _publicize_pending: '1' _coblocks_attr: '' _coblocks_dimensions: '' _coblocks_responsive_height: '' _coblocks_accordion_ie_support: '' advanced_seo_description: '' amp_status: '' spay_email: '' _starter_page_template: blank author: login: paulweidinger email<EMAIL_ADDRESS>display_name: paul first_name: Paul last_name: Weidinger permalink: "/rating-scale/" ---
0: Avoid. Be willing to pay to avoid this work.
1: Skippable. You won't miss much.
2: Good. Worth reading only if you have a particular interest.
3: Excellent. Worth reading for nearly everyone.
4: Masterpiece. The standard by which all similar works should be judged


|
GT RoboCup SSL
Soccer software, robot firmware
|
Macros | |
| #define | SUPER_LOOP_FREQ 200 |
| #define | SUPER_LOOP_PERIOD (1000000L / SUPER_LOOP_FREQ) |
| #define | MAX_MISS_CNT 5 |
Functions | |
| int | main () |
| #define MAX_MISS_CNT 5 |
| #define SUPER_LOOP_FREQ 200 |
| #define SUPER_LOOP_PERIOD (1000000L / SUPER_LOOP_FREQ) |
| int main | ( | void | ) |
| BatteryVoltage batteryVoltage |
| DebugInfo debugInfo |
| FPGAStatus fpgaStatus |
| IMUData imuData |
| KickerCommand kickerCommand |
| KickerInfo kickerInfo |
| MotionCommand motionCommand |
| MotorCommand motorCommand |
| MotorFeedback motorFeedback |
| RadioError radioError |
| RobotID robotID |


| Novel Coronavirus (COVID-19) |
Fever
Cough
Shortness of Breath
Fatigue
|
Sudden |
2–14 days after exposure |
2–8 weeks |
Human to Human |
Acute pneumonia, septic shock, respiratory failure in adverse condition. |
No vaccines available, only symptoms can be treated. |
| Severe Acute Respiratory Syndrome (SARS) |
Fever
Dry Cough
Headache
Difficulty in breathing
Muscle aches
Loss of appetite
Diarrhoea
|
Sudden |
2–7 days after exposure |
5–6 weeks |
Human to Human |
Heart, Liver and Respiratory failure in adverse condition. |
Breathing ventilator to deliver oxygen.
Pneumonia treating antibiotics
Antiviral medicines
Steroids to reduce lung swelling
|
| Middle East Respiratory Syndrome (MERS) |
Fever
Chills
Diarrhoea
Nausea
Vomiting
Congestion
Sneezing
Sore throat
|
Sudden |
5–6 days after exposure |
6–7 weeks |
Human to Human |
Acute pneumonia Kidney failure in adverse condition. |
Treatment only for symptoms such as Fluids replacement
Oxygen therapy.
|
| Common flu |
Runny or Stuffy nose
Sneezing
Sore throat
Mild Headache
Low grade fever
|
Gradual |
2–3 days after exposure |
7–10 days |
Human to Human |
Extremely rare or None |
Symptoms can be treated by medication. |
This table represents the parallel investigation of Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS), Novel Coronavirus (COVID-19) and Common Flu with their Symptoms, Onset of Disease, Incubation Period, Recovery, Transmission of Disease, Complications and available treatments.


Discussing Agility & Quality
Making The Case For Play/Scala - BBC
@components.productivity()-
In this video from PingConf, BBC explores how they achieved management buy-in to take their team of PHP developers into a new world of Play Framework and Scala for the rewrite of its popular CBeebies children’s website. It’s not a technical talk. In fact, the title could be, "How to sell change into a big, multi-national organization so it’s not too scary."
The video discusses how the team got management buy-in by demonstrating skills transfer and success within a few weeks. Management and stakeholders never saw anything happen this fast. Plus, Scala’s cool factor made it easy to recruit, giving management comfort that the team made the right choice.
Watch the Video
Agility & Quality In Action
Writing Startlingly Simple Code - Tapad
@components.productivity()-
Tadpad processes 150 billion data points from cookies, cellphone IDs, Wi-Fi connections, and other inputs for its highly concurrent advertising system. The Actor implementation from Akka made it startlingly simple to write comprehensible code that leverages all the cores in their production machines for this sophisticated system.
Read the Case Study Improving Flexibility - Janrain
@components.productivity()-
Janrain uses the Typesafe Reactive Platform to move towards elastic sizing in the Cloud; the platform has enabled them to very quickly spin up a new approach that allows for a lot of flexibility in application deployment.
Read the Case Study Boosting Quality with Akka/Scala - CCAD (Comcast spinoff)
@components.productivity()-
CCAD (Combined Conditional Access Development) is a joint venture between Comcast and Arris Group (which acquired Motorola Home).
Scaling developer productivity, improving code quality and removing locking and contention were reasons that influenced CCAD’s decision to move away from the traditional Java-based stack they were using to look for more sustainable alternatives.
Read the Case Study


WebEngineLoadRequest QML Type
A utility type for the WebEngineView::loadingChanged signal. More...
| Import Statement: | import QtWebEngine 1.5 |
| Since: | QtWebEngine 1.0 |
Properties
- errorCode : int
- errorDomain : enumeration
- errorString : string
- status : enumeration
- url : url
Detailed Description
Contains information about a request for loading a web page, such as the URL and current loading status (started, succeeded, failed).
See also WebEngineView::loadingChanged.
Property Documentation
This enumeration holds the type of a load request error:
| Constant | Description |
|---|---|
WebEngineView.NoErrorDomain | Error type is not known. |
WebEngineView.InternalErrorDomain | Content cannot be interpreted by Qt WebEngine. |
WebEngineView.ConnectionErrorDomain | Error results from a faulty network connection. |
WebEngineView.CertificateErrorDomain | Error is related to the SSL/TLS certificate. |
WebEngineView.HttpErrorDomain | Error is related to the HTTP connection. |
WebEngineView.FtpErrorDomain | Error is related to the FTP connection. |
WebEngineView.DnsErrorDomain | Error is related to the DNS connection. |
This enumeration represents the load status of a web page load request:
| Constant | Description |
|---|---|
WebEngineLoadRequest.LoadStartedStatus | Page is currently loading. |
WebEngineLoadRequest.LoadSucceededStatus | Page has been loaded with success. |
WebEngineLoadRequest.LoadFailedStatus | Page could not be loaded. |
See also WebEngineView::loadingChanged.
url : url |
Holds the URL of the load request.


{% extends "webhooks/base.html" %} {% block css %} {% endblock %} {% block content_left %}
Requests: {{ '{{' }}requests.length{{ '}}' }}
Total viewers: {{ '{{' }}totalSubscribers{{ '}}' }}
Sounds enabled:
No requests yet!
POST or GET with params to {{ full_path }} to have them show up here, live. No need to refresh.
As an example, open this link in a new tab and see the GET data show up below.
New Subscriber watching this Webhook!


BlenderCurve
-
class
compas_blender.geometry.
BlenderCurve
(obj)[source] Bases:
compas_blender.geometry.BlenderGeometry
Methods
__init__
(obj)Initialize self.
closest_point
(point[, maxdist, return_param])closest_points
(points[, maxdist])delete
()descent
(points)divide
(number_of_segments)divide_length
(length_of_segments)find
(guid)from_name
(name)from_points
(points[, degree])heightfield
(density)hide
()purge
()refresh
()select
()show
()space
(density)tangents
(points)unselect
()


{% extends '_layouts/application.html' %} {% block content %} {% set digital = true %} {% include './_partials/header.html' %} {{ section1Subtitle }} {{ section1Intro1 }} {{ section1Sub1 }} {{ section1Sub1P1 }} {{ section1Sub1P2 }} {% include '_partials/visualizations/number-of-people-online.html' %} {{ section1Sub1P1 }} {{ section1Sub1P2 }} {% include '_partials/visualizations/internet-penetration-countries.html' %} {{ section1Sub2 }} {{ section1Sub1P1 }} {{ section1Sub1P2 }} {% include '_partials/visualizations/internet-affordability.html' %} {{ section1Sub3 }} {% include '_partials/visualizations/women-online.html' %} {{ section1Sub4 }} {% include '_partials/visualizations/share-of-content-by-language.html' %} {{ next }} {{ section2Subtitle }} {% endblock %}
{{ section1Intro1 }}
{{ section1Sub1P1 }}
{{ section1Sub1P2 }}


By the end of this lesson you will be able to -
$ cd /home/ec2-user/continuous_integration_example/software/src/web
$ sudo vim index.jsp
$ git add index.jsp
$ git commit -m "Modify the application code"
$ git push
$ cd /home/ec2-user/sample_app/app/views/pages
$ sudo vim home.html.erb


Lidia's Diary:
The thirtieth day of the month of Shilen.
Tomorrow's the big day!
I wasn't able to talk Father out of it.
Nidrah's words just made too much sense!
The royal authority of Rune has been tenuous for ages, and something must be done!
Brother Eilhalder said that our family's primary role is to protect Rune itself, not the royal family!
I'm not sure I believe all that...
Nidrah came to me this evening.
He told me that no matter what I decided, I must always show courage in terrible times.
What did he mean by that?
I've always been courageous!
Turn the page.


This is a production of Laura Newman Eckstein Mapping with data harvested from Chronicling America.Special thanks to Professor Ryan Cordell and the Viral Texts Project for inspiration. Credit also to Leaflet mapping library, Cartodb, marker cluster add-on, and sidebar add-on. Please share!


Methods
aggregate(aggregateSpecification) → {Array.<hierarchyNode>}
Group active rows into a hierarchy of dimensions and calculate the measures at each level of the hierarchy.
Parameters:
| Name | Type | Description |
|---|---|---|
aggregateSpecification |
aggregateSpecification | Specify dimensions and measures (required). |
- Source:
Returns:
Array of hierarchyNodes with calculated measures.
- Type
- Array.<hierarchyNode>
filter(filterSpecifications)
Apply filterSpecifications to filterFields and updates the active states of filterRecords and filterValues. Filters are applied in the sequence listed.
Parameters:
| Name | Type | Description |
|---|---|---|
filterSpecifications |
Array.<filterSpecification> | Array of filterSpecification to apply (required). |
- Source:
findField(fieldName) → {filterField}
Finds an existing filterField by name.
Parameters:
| Name | Type | Description |
|---|---|---|
fieldName |
string | Field name. |
- Source:
Returns:
Found filterField, or null if not found.
- Type
- filterField
findValue(filterField, valueName) → {filterValue}
Finds an existing filterValue by valueName, in a specified filterField.
Parameters:
| Name | Type | Description |
|---|---|---|
filterField |
filterField | filterField in which to search. |
valueName |
string | Value name. |
- Source:
Returns:
Found filterValue, or null if not found.
- Type
- filterValue
Type Definitions
aggregateSpecification
Specify dimensions and measures by name, but not index
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
dimensions |
Array.<dimensionSpecification> | Array of dimensionSpecifications (required). |
measures |
Array.<measureSpecification> | Array of measureSpecifications (required). |
- Source:
dimensionSpecification
Specify a dimension by name.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
field |
string | Field name of dimension (required). |
- Source:
filterField
One field containing an array of unique filterValues.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
fieldName |
string | Name of field. |
fieldIndex |
number | Position in parent array. |
fieldValues |
Array.<filterValue> | Array of filterValues, one index for each unique value. |
- Source:
filterRecord
One field containing an array of unique filterValues.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
recordIsActive |
boolean | Indicator if record is active or dormant. |
recordValues |
Array.<filterValue> | Array of filterValues, one index for every field. |
- Source:
filterSpecification
Specify field and value filter by name
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
field |
string | Actual field name or '*' for all fields |
value |
string | Actual value name or '*' for all values |
isActive |
string/boolean | Active status : true / false / '!' for invert |
- Source:
filterTable
Normalised table structure that facilitates filtering and aggregation.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
filterName |
string | Name of table. |
filterFields |
Array.<filterField> | Array of filterFields, containing unique field values. |
filterRecords |
Array.<filterRecord> | Array of filterRecords, containing references to unique field values. |
filterFunctions |
Array.<function()> | Array of aggregation functions. |
findField |
findField | Function that finds an existing filterField by name. |
findValue |
findValue | Function that finds an existing filterValue by name, in a specified filterField. |
filter |
filter | Function that filters the dataset. |
aggregate |
aggregate | Function that aggregates the dataset. |
- Source:
filterValue
One unique field value (per field).
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
valueName |
string | description of value (actual value of the incoming cell). |
valueIndex |
number | position in parent array. |
valueActiveRows |
number | number of active records where this value is found. |
valueDormantRows |
number | number of dormant records where this value is found. |
valueIsActive |
boolean | indicates whether user has actively filtered this value. |
- Source:
hierarchyGroup
Single group made up of unique combination of filterValues.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
value |
string | Node unique value. |
level |
int | Node hierarchy level. |
groupValues |
Array.<filterValue> | Unique combination of filtervalues that denotes one hierarchyGroup. |
groupRecords |
Array.<filterRecord> | Array of all active fiterRecords that belong to this hierarchyGroup. |
- Source:
hierarchyMeasure
Measure value at one level in hierarchy.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
value |
object | Measure value as returned from function call. |
- Source:
hierarchyNode
Single dimension value with all its subsequent children.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
value |
string | Node unique value. |
level |
int | Node hierarchy level. |
children |
Array.<hierarchyNode> | Next dimension's nodes - this is recursive. |
measures |
Array.<hierarchyMeasure> | Calculated measures for each level in hierarchy. |
groups |
Array.<hierarchyGroup> | All groups (and subgroups) for each level of hierarchy. |
- Source:
measureSpecification
Specify a measure by calculation function.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
calculation |
string | Calculation function name (required). |
- Source:
tableDefinition
Define filterTable's name, fields, records and functions.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
tableName |
string | Table name. |
tableFields |
Array.<tableField> | Array of field arrays. Each field array is an array of unique field values. |
tableRecords |
Array.<tableRecord> | Array of normalised table record arrays. Each record array contains the index of the unique field value. |
tableFunctions |
tableFunctions | Functions used to aggregate measures. |
- Source:
tableField
Each field array is an array of unique field values.
Type:
- array
Properties:
| Name | Type | Description |
|---|---|---|
value |
string | Unique field value. |
- Source:
tableFunction
Function that gets called to aggregate hierarchy records.
Type:
- object
- Source:
tableFunctions
Contains functions used to aggregate measures.
Type:
- object
Properties:
| Name | Type | Description |
|---|---|---|
myFunction1 |
tableFunction | Your own function to calculate a measure. |
myFunction2 |
tableFunction | Your own function to calculate a measure. |
myFucntionN |
tableFunction | Your own function to calculate a measure. |
- Source:
tableRecord
Each record array contains the index of the unique field value.
Type:
- array
Properties:
| Name | Type | Description |
|---|---|---|
valueIndex |
int | Index of value in the correspondingly index tableField |
- Source:


Ryan Impey
About
Portfolio
Contact
Developer and Student at the University of Lincoln
Technologies used:
Previous Work
University of Lincoln - Associate Developer
Currently working at the University of Lincoln as part of the associate developer team, building web applications to enhance student experience and aid day to day activies.
Octogoin - Lead fullstack developer
NodeJS Reward Site allowing users to complete surveys and install apps, rewarded with virtual currency which could be redeemed at the onsite shop, with automated item delivery to the players linked Steam™ account via automated bots.
Portfolio


x
About
Your blog posts need images!
Marketing Dude
Having visuals in your content, especially blog posts, is important. Finding relevant images can be difficult, especially if covering multiple subjects. This tool creates nice images using others. Search for images, drag them into the box below, arrange them to your liking, and download your image.
Created by Dan Adams, a software engineer and technical consultant at Cantina Consulting.
Please don't steal images: check and respect the license of any images used and reference the image sources in your final material.


1. To integrate the plugin that we just built into the Sunbird Platform we'll create a framework.config.ts file on the root of our application and add the following content:
Next, we will import the build of
sunbird-web-extension
module and framework.config.ts
into your main app.module.ts
This will import
BootstrapFramework
and
WebFrameworkModule
classes. and the config file which has the array of plugins that we want to extend on the fly.
Now, if we launch our application, the plugin will be loaded by the PluginService
and
ExtensionPoint
directives will instantiate the TableGenerator
plugin components where appropriate.
2. Next, create a file called
framework.config.ts
file under the
src/
folder of your angular app
Well done! You successfully implemented your first plugin! In this section, we used the API of
our plugin architecture to create a plugin to manage Table Generation. We used the
PluginPlacement
class to map our plugin components to different slots in the UI of our
application. We also made use of the PluginData
object that is provided to each instantiated
component in the plugin slot in order to access the plugin instance.
The advantage of implementing functionality like this inside a plugin should be obvious. We
added an additional feature to our application without building up additional dependencies.
Our Table Generator feature is completely portable. Third-party developers can write independent
plugins, and they can be loaded by our system. This is a big advantage, and it helps us keep
our core slim while providing great extensibility.


On this list you'll find the best PC games we're playing right now—recent singleplayer hits,
thriving esports, and a few modern classics that would improve any library.
We'll continue to update this list as new games release, removing older favorites and
replacing them with our latest obsessions....And, despite us loving our home consoles, too,
the truth is that PC gaming has always represented the absolute pinnacle of video
game excellence, and that distinction continues in 2020 with some of
the most groundbreaking experiences gracing overclocked towers and juiced-up
laptops the world over.
About UsWe Believe that Interior Beauty Lasts LongOn this list you'll find the best PC games we're playing right now—recent singleplayer hits, |


Javascript and jQuery Project
This page displays the completed Javascript and jQuery project from the Web Development 101 course on The Odin Project.
The full write up regarding this project can be found on my website here.
This page displays the completed Javascript and jQuery project from the Web Development 101 course on The Odin Project.
The full write up regarding this project can be found on my website here.


NotificationCenterProtocol
public protocol NotificationCenterProtocol
A notification dispatch mechanism protocol that enables the broadcast of information to registered observers.
-
Creates a notification with a given name and sender and posts it to the notification center.
Declaration
Swift
func post(name aName: Notification.Name, object anObject: Any?)
Parameters
aName
the name of the notification
anObject
the object posting the notification
-
Adds an entry to the notification center’s dispatch table with an observer and a notification selector, and an optional notification name and sender.
Declaration
Swift
func addObserver(_ observer: Any, selector aSelector: Selector, name aName: Notification.Name?, object anObject: Any?)
Parameters
observer
the object registering as an observer
aSelector
the selector that specifies the message the receiver sends observer to notify it of the notification posting, the method specified by aSelector must have one and only one argument (an instance of Notification)
aName
the name of the notification for which to register the observer; that is, only notifications with this name are delivered to the observer. If you pass nil, the notification center doesn’t use a notification’s name to decide whether to deliver it to the observer
anObject
the object whose notifications the observer wants to receive; that is, only notifications sent by this sender are delivered to the observer. If you pass nil, the notification center doesn’t use a notification’s sender to decide whether to deliver it to the observer
-
Removes all entries specifying a given observer from the notification center’s dispatch table.
Declaration
Swift
func removeObserver(_ observer: Any)
Parameters
observer
the observer to remove


The PRIDE Converter 2 tool suite is a composed of 4 independent applications:
- The PRIDE Converter 2 application will convert MS search result files containing identification and spectra into PRIDE XML.
- The PRIDE mzTab Generator will produce skeleton mzTab files from MS search results files. These skeleton files require either manual or scripted editing to add quantitation and/or gel information.
- The PRIDE XML Filter will remove identifications or spectra from PRIDE XML files based on a series of configurable filters.
- The PRIDE XML Merger will combine several PRIDE XML files into a single one.
All tools have both a Graphical User Interface (GUI) and a Command-Line Interface (CLI). The GUIs have been designed to provide a rich, user-friendly interface while the CLIs have been developed mainly for tool and pipeline developers to be able to integrate the PRIDE Converter 2 tools in their own software to provide an efficient way to generate PRIDE XML from their own resources.
System Requirements:
- Java: JRE 1.5 +
- CPU: 1 gigahertz (GHz) or faster 32-bit or 64-bit processor.
- Memory: 1 gigabyte (GB) RAM.
- Hard Disk: 55 MB available for installation, more if doing file conversions.
- Platform: Tested in Mac OS X, Linux, and Windows (XP, Vista, 7).
- PRIDE Converter 2 requires Internet access for connection to the Ontology Lookup Service (OLS) web service and automatic access to PubMed records already published.
Key Features:
- Possibility to converty multiple files at once.
- Low memory footprint, even for arbitrarily large source files.
- Scriptable and interactive use are both possible.
- A host of programmable open source API/libraries.


{% extends "base.html" %} {% block pretitle %}Edit Organization{% endblock %} {% block extra_head %} {% endblock %} {% block breadcrumbs %}
Close and Delete Account. All your application keys will be deleted if you close your account.
{# TODO: Link to Delete Account process #}Apply for access to the CMS Live BlueButton API Platform.
{# TODO: Link to Production Platform Access approval #} {# DONE: Link to Manage Application Keys #}


Home
About Me
My Work
How To Reach Me
Hi,
I'm
Sergio Naranjo
,
Full -Stack Web Developer.
See My Work
¡Hire Me!


SoXJS Samples
Create and Delete Device
Acquiring Device Meta Data
Get All Devices
Publish Data to Device
Subscribe Device
Subscribe Multiple Devices
Unsubscribe All Devices


| Interface | Description |
|---|---|
| Compiler |
A compiler.
|
| CompilerConfiguration |
A configuration for a compiler
|
| Linker |
A linker for executables, and static and dynamic libraries.
|
| LinkerConfiguration |
A configuration for a linker
|
| PrecompilingCompiler |
A compiler that can utilize precompilation of header files
|
| Processor |
A processor.
|
| ProcessorConfiguration |
A configuration for a C++ compiler, linker or other processor
|
| ProgressMonitor |
Interface to receive notification of compile progress
|
| Class | Description |
|---|---|
| AbstractCompiler |
An abstract compiler implementation.
|
| AbstractLinker |
An abstract Linker implementation.
|
| AbstractProcessor |
An abstract processor (compiler/linker) implementation.
|
| CaptureStreamHandler |
Implements ExecuteStreamHandler to capture the output of a Execute to an
array of strings
|
| CommandLineCCompiler |
An abstract Compiler implementation which uses an external program to
perform the compile.
|
| CommandLineCompiler |
An abstract Compiler implementation which uses an external program to
perform the compile.
|
| CommandLineCompilerConfiguration |
A configuration for a C++ compiler
|
| CommandLineFortranCompiler |
An abstract Compiler implementation which uses an external program to
perform the compile.
|
| CommandLineLinker |
An abstract Linker implementation that performs the link via an external
command.
|
| CommandLineLinkerConfiguration |
A configuration for a command line linker
|
| LinkType |
This class represents the target platform for the compile and link step.
|
| PrecompilingCommandLineCCompiler |
A command line C compiler that can utilize precompilation of header files
|
| PrecompilingCommandLineCompiler |
A command line C compiler that can utilize precompilation of header files
|
Copyright © 2005-2016 NAR Maven Plugin developers. All Rights Reserved.


This is a web application that allows a three-dimensional block to be manipulated by the user. Try interacting with some of the parameters using the control panel on the right to get started!
RotateX: Rotate the Box along the X axis
RotateY: Rotate the Box along the Y axis
RotateZ: Rotate the Box along the X axis
Scale: Change the size of the Box proportionally
X: Change the length of the Box
Y: Change the height of the Box
Z: Change the width of the Box
strokeWeight: Change the width of the Box border
noFill: Toggle skeleton (see-through/border only) mode
box2: Toggle inner box (requires noFill to be selected)
stroke: Change the color of the Box border
color: Change the color of the Box (noFill cannot be toggled)
bcolor: Change the background color


<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">

[Apologies for multiple receipts]

<img
alt="QiCP'2008, Second International Workshop on Quantification in Constraint Programming"
<EMAIL_ADDRESS>border="0"
height="284" width="452">

----------------------------------

<big>QiCP'08:</big>

Second International Workshop on Quantification in Constraint
Programming

"Beyond Existentially Quantified Variables"

held in conjunction with CP’2008, 14th International Conference on
Principles and Practice of Constraint Programming

Sydney, Australia, Sept 14, 2008.

http://www.univ-orleans.fr/lifo/evenements/QiCP2008/

<big><big>Overview:</big></big>

Constraint Programming is a very successful paradigm to express
combinatoral

problems for which it provides both a representation language and
powerful

solving techniques. Modeling uncertainty in data and/or the presence
of an

adversary can be done by introducing universally quantified and/or
stochastic

variables. They are used to encode possible alternative that have to
be all

taken into account to provide a robust solution. Possible applications
are

games, robust scheduling, conformant planning or model checking for the
discrete

case. For continuous variables, it includes control design,
verification of

safety and performance conditions of a system in engineering or
determination of

values of design variables compatible with all values of some uncertain
physical

data.

The first workshop on Quantification in Constraint Programming has been
held in

conjuction with CP’2005 in Sitges, Spain. Since then, there has been
an

increasing attention to this topic in the areas of QBF, QCSP and
continuous

constraints. The aim of this workshop is to collect papers describing
novel and

ongoing works in the field, and to foster discussions and
cross-fertilization

between different approaches.

<big>Scope:</big>

This workshop is open to all aspects related to quantification in
Constraint

Programming and SAT. The aim of the workshop is to present ongoing
work and to

exchange ideas on modeling and solving quantified problems. Topics that
may be

addressed in papers for consideration for inclusion in this workshop
include,

but are not limited to:

- Search and propagation algorithm

- Modeling issues with quantified languages

- Complexity results

- Quantified global constraints

- Quantified languages design and compilation

- Strategy extraction and representation

- Over-constrained quantified problems, explanations

- First-order constraints

- Quantification in CHR

- Uncertainty handling

- Stochastic constraint programming

- Implementation issues

- Other types of variables, non-backtrackable variables where domain
prunings are not undone

on backtracking

- Applications and benchmarks of Quantified Constraints, QBF and
Stochastic CSP

<big>Submissions:</big>

The workshop is open to all members of the CP community. Submitted
papers can

be up to 15 pages in length, describing work on one or more of the
topics

relevant to the workshop. Alternatively, a shorter paper (maximum 5
pages) can

be submitted, presenting a research statement or perspective on topics
relevant

to the workshop. All submissions will be reviewed and accepted papers
will be

published in the workshop proceedings. At least one author must attend
the

workshop. The proceedings will be available electronically on the
workshop web

page and in hardcopy at CP 2008.

We encourage authors to submit papers electronically in pdf format.
Papers

should be formatted using the Lecture Notes in Computer Science (LNCS)
style.

All submissions should include the author's name(s), affiliation,
complete

mailing address, and email address. Workshop papers will be published
in

workshop notes as well as on the Web.

Please send your submission by email
to the workshop organizers,

using the subject line “QiCP’2008 submission”: <a class="moz-txt-link-abbreviated" href="mailto:enrico<EMAIL_ADDRESS><a class="moz-txt-link-abbreviated" href="mailto:arnaud.lallouet<EMAIL_ADDRESS><a class="moz-txt-link-abbreviated" href="mailto:rueher<EMAIL_ADDRESS>

<big>Important Dates:</big>

Paper submission : July 11, 2008

Notification : July 30, 2008

Final version : August 20, 2008

<big>Organizing Committee:</big>

Enrico Giunchiglia, University of Genova, Italy.

Arnaud Lallouet, University of Orléans, France.

Michel Rueher, University of Nice, France.

<big>Program Committee:</big>

Fahiem Bacchus, University of Toronto, Canada.

Marco Benedetti, University of Orléans, France.

Lucas Bordeaux, MsR Cambridge, England.

Ken Brown, University College Cork, Ireland.

Hubie Chen, University Pompeu Fabra, Spain.

Uwe Egly, Technical University of Vienna, Austria.

Enrico Giunchiglia, University of Genova, Italy.

Alexandre Goldsztejn, University of Nantes, France.

Arnaud Lallouet, University of Orléans, France.

Stefan Ratschan, Academy of Sciences, Czech Republic.

Jussi Rintanen, NICTA, Australia.

Michel Rueher, University of Nice, France.

Kostas Stergiou, University of the Aegean, Greece.

Toby Walsh, NICTA, Australia.


WARNING: This is an educational resource to demonstrate concepts in a phishing attack. It is not to be used for any other purpose.


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Is Your Team Suddenly Distributed?
Published on March 6, 2020 for Industrial Logic Blog
With the 2020 outbreak of the Coronavirus, many companies are implementing work-from-home policies. If you are a team that is suddenly converted from being co-located to distributed, here are some tips on staying productive. […]
Characterization Testing in Nuclear Power and Software
Published on January 28, 2020 for Industrial Logic Blog
Characterization testing, aka Golden Master testing, is a technique where you apply known inputs to a process to verify the output against a known result. I have found this to be a great technique for testing legacy code that does not have many tests. However, my first use of this technique was at a nuclear power plant. […]
7 Ways To Go Beyond Your Agile Process
Published on October 31, 2016 for Source Allies Blog
Now that Agile has become mainstream, teams are looking to go beyond their Agile process to find ways to improve. There has even been recent use of the term “Antifr-Agile”, where process is secondary to product validation and customer learning (AgileDayChicago, 2016). Here are 7 ways that your team can go beyond your Agile process. […]
Updated TDD Mantra
Published on June 17, 2014 for Source Allies Blog
If you have ever practiced test driven development (TDD), then you are probably familiar with the TDD mantra – red, green, refactor. I’m a big proponent of TDD, but I think the TDD mantra is missing a fourth step. In his book that introduced me to TDD, Test Driven Development: By Example, Kent Beck introduced […]
A Better Analogy For Agile Software Development?
Published on December 30, 2013 for Source Allies Blog
For years, like many of you, I have been comparing software development to construction. But ever since adopting the agile methodology a decade ago, I have been looking for a better analogy to help me explain agile software development. I recently came up with what I think is that analogy – urban planning. Read on […]


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TABLE OF INTERACTIONS WITH
BLOOD GLUCOSE LOWERING SULFONAMIDES
From the French ANSM drug interactions document of
September 2016, pp. 207-208
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
ALCOHOL (DRINK OF INGREDIENT) |
Antabuse effect, especially for glibenclamide, glipizide, tolbutamide. Increase of the hypoglycemic reaction (inhibition of the compensation reactions) that can make possible the onset of hypoglycemic coma |
Not recommended Avoid taking alcoholic beverages and medications containing alcohol. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
SOMATOSTATIN ANALOGS CLASS CODE: H01CB0-001 |
Risk of hypoglycemia or hyperglycemia: decrease or increase of the need for the blood glucose lowering sufonamide, due to decrease or increase of the secretion of endogenous glucagon |
Precaution for use Reinforce self-monitoring of blood glucose and adjust the dosage of the blood glucose lowering sulfonamide if needed during the treatment with the somatostatin analog. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
BETA-2 MIMETICS or BETA 2 ADRENERGIC AGONISTS CLASS CODE: R03C-001 |
Elevation of the glycemia by the beta-2 mimetic |
Precaution for use Reinforce blood and urine monitoring. Possibly change to insulin if the situation requires. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
BETA BLOCKING AGENTS (EXCEPT ESMOLOL) CLASS CODE: C07AB-002 |
All the beta blocking agents can mask certain symptoms of hypoglycemia: palpitations and tachycardia |
Precaution for use Inform the patient and reinforce self-monitoring of blood glucose, especially at the beginning of treatment. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
BETA-BLOCKING AGENTS IN HEART FAILURE CLASS CODE: C07AB-003 |
All the beta blocking agents can mask certain symptoms of hypoglycemia: palpitations and tachycardia |
Precaution for use Inform the patient and reinforce self-monitoring of blood glucose, especially at the beginning of the treatment. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
CHLORPROMAZINE RxNorm: 2403 ATC: N05AA01 |
With large doses (100mg per day of chlorpromazine): elevation of the glycemia (decrease of the release of the insulin) |
Precaution for use Inform the patient and reinforce self-monitoring of blood glucose. Possibly adjust the dosage of the neuroleptic during the treatment and after it is stopped. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
CLARITHROMYCIN RxNorm: 21212 ATC: J01FA09 |
Risk of hypoglycemia due to increase of the plasma concentrations of the antidiabetique |
Precaution for use Inform the patient, reinforce self-monitoring of blood glucose and possibly adjust the dosage of the blood glucose lowering sulfonamide during the treatment with the clarithromycin. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
DANAZOL RxNorm: 3102 ATC: G03XA01 |
Diabetes inducing effect of the danazol |
Not recommended If the administration of the substances together cannot be avoided, inform the patient and reinforce self-monitoring of blood glucose. Possibly adjust the dosage of the antidiabetic during the treatment with the danazol and after it is stopped. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
FLUCONAZOLE RxNorm: 4450 ATC: D01AC15 J02AC01 |
Increase of the half life of the sulfonamide with possible onset of manifestations of hypoglymemia |
Precaution for use Inform the patient, reinforce self-monitoring of blood glucose and possibly adjust the dosage of the sulfonamide during the treatment with the fluconazole. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
The use of an ACE inhibitor can lead to an increase of the hypoglycemic effect in diabetic patients treated with glucose lowering sulfonamides. The onset of hypoglycemic difficulties seems exceptional (improvement of the tolerance for glucose that would have the result of a reduction of the need for the glucose lowering sulfonamides) |
Precaution for use Reinforce self -monitoring of blood glucose. |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
MICONAZOLE RxNorm: 6932 ATC: A01AB09 A07AC01 D01AC02 G01AF04 J02AB01 S02AA13 |
With the miconazole by general route or oral gel: increase of the hypoglycemic effect with possible onset of hypoglycemic manifestations, even coma |
CONTRAINDICATION |


{% extends "layout.html" %} {% from "macros.html" import form_field_group_macro, form_select_field, inline_field %} {% block content %}


Package: IDP
Type: Package
Title: Molecular Origins of Intrinsically Disordered Protein Dynamics
Version: 0.1
Date: 2016-01-06
Authors: Jane Doe, John Smith
Affiliation: University
Contact<EMAIL_ADDRESS>Description: This package predicts the contribution of polyproline-II propensities and electrostatic effects to the structure of intrinisically disordered proteins.
License: Apache2
LazyData: true


| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final boolean |
DEBUG |
true |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
fade_in |
2130968576 |
public static final int |
move_block_anim |
2130968577 |
public static final int |
rotate_anim |
2130968578 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
activity_horizontal_margin |
2131034112 |
public static final int |
activity_vertical_margin |
2131034113 |
public static final int |
textsize |
2131034114 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
background1 |
2130837504 |
public static final int |
background2 |
2130837505 |
public static final int |
background3 |
2130837506 |
public static final int |
background4 |
2130837507 |
public static final int |
background5 |
2130837508 |
public static final int |
background6 |
2130837509 |
public static final int |
background7 |
2130837510 |
public static final int |
bag |
2130837511 |
public static final int |
boy |
2130837512 |
public static final int |
cake_1 |
2130837513 |
public static final int |
cake_10 |
2130837514 |
public static final int |
cake_11 |
2130837515 |
public static final int |
cake_12 |
2130837516 |
public static final int |
cake_13 |
2130837517 |
public static final int |
cake_14 |
2130837518 |
public static final int |
cake_15 |
2130837519 |
public static final int |
cake_16 |
2130837520 |
public static final int |
cake_17 |
2130837521 |
public static final int |
cake_18 |
2130837522 |
public static final int |
cake_19 |
2130837523 |
public static final int |
cake_2 |
2130837524 |
public static final int |
cake_3 |
2130837525 |
public static final int |
cake_4 |
2130837526 |
public static final int |
cake_5 |
2130837527 |
public static final int |
cake_6 |
2130837528 |
public static final int |
cake_7 |
2130837529 |
public static final int |
cake_8 |
2130837530 |
public static final int |
cake_9 |
2130837531 |
public static final int |
girl |
2130837532 |
public static final int |
ic_launcher |
2130837533 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
action_settings |
2131296292 |
public static final int |
activity_game_Layout |
2131296257 |
public static final int |
authors |
2131296261 |
public static final int |
board |
2131296270 |
public static final int |
board_size_one |
2131296273 |
public static final int |
board_size_selections |
2131296272 |
public static final int |
board_size_three |
2131296275 |
public static final int |
board_size_two |
2131296274 |
public static final int |
cake |
2131296260 |
public static final int |
candles |
2131296263 |
public static final int |
CMPT276_hyperlink |
2131296259 |
public static final int |
config |
2131296266 |
public static final int |
game_board_size |
2131296271 |
public static final int |
greenCake |
2131296289 |
public static final int |
help |
2131296267 |
public static final int |
instructions |
2131296262 |
public static final int |
LogoImage |
2131296285 |
public static final int |
MainMenu |
2131296264 |
public static final int |
mine |
2131296276 |
public static final int |
mine_size |
2131296277 |
public static final int |
mine_size_four |
2131296282 |
public static final int |
mine_size_one |
2131296279 |
public static final int |
mine_size_selections |
2131296278 |
public static final int |
mine_size_three |
2131296281 |
public static final int |
mine_size_two |
2131296280 |
public static final int |
minesFound |
2131296256 |
public static final int |
play |
2131296265 |
public static final int |
progressBar1 |
2131296291 |
public static final int |
redCake |
2131296286 |
public static final int |
reset |
2131296283 |
public static final int |
run_count |
2131296284 |
public static final int |
scanUsed |
2131296258 |
public static final int |
setting |
2131296269 |
public static final int |
skipButton |
2131296290 |
public static final int |
textLeon |
2131296288 |
public static final int |
textMineSeeker |
2131296268 |
public static final int |
textRay |
2131296287 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
activity_game |
2130903040 |
public static final int |
activity_help |
2130903041 |
public static final int |
activity_menu |
2130903042 |
public static final int |
activity_option |
2130903043 |
public static final int |
activity_splash |
2130903044 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
game |
2131230720 |
public static final int |
help |
2131230721 |
public static final int |
main |
2131230722 |
public static final int |
menu |
2131230723 |
public static final int |
option |
2131230724 |
public static final int |
splash |
2131230725 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
action_settings |
2131099651 |
public static final int |
app_name |
2131099650 |
public static final int |
authors |
2131099675 |
public static final int |
board_size |
2131099662 |
public static final int |
button_text_Skip |
2131099660 |
public static final int |
cake_picture |
2131099676 |
public static final int |
candles_picture |
2131099677 |
public static final int |
CMPT276_hyperlink |
2131099673 |
public static final int |
count |
2131099672 |
public static final int |
fifteen |
2131099669 |
public static final int |
four_by_six |
2131099664 |
public static final int |
green_cake |
2131099649 |
public static final int |
instructions |
2131099674 |
public static final int |
mine_size |
2131099666 |
public static final int |
red_cake |
2131099648 |
public static final int |
reset |
2131099671 |
public static final int |
setting |
2131099661 |
public static final int |
six |
2131099667 |
public static final int |
six_by_ten |
2131099665 |
public static final int |
splash_description |
2131099652 |
public static final int |
ten |
2131099668 |
public static final int |
text_Leon |
2131099658 |
public static final int |
text_Ray |
2131099659 |
public static final int |
three_by_four |
2131099663 |
public static final int |
title_activity_game |
2131099653 |
public static final int |
title_activity_help |
2131099655 |
public static final int |
title_activity_menu |
2131099657 |
public static final int |
title_activity_option |
2131099654 |
public static final int |
title_activity_splash |
2131099656 |
public static final int |
twenty |
2131099670 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
AppBaseTheme |
2131165184 |
public static final int |
AppTheme |
2131165185 |


{% extends "base.html" %} {# Template for page that will display all the plots and stats data. Each section holds a different plot which has been generated by the scripts and placed in the template folder to be rendered here with a simple 'include' taken from the templates folder. #} {% block content %}


Signing State Machines
Access
User
Session
State Machine
Host addess
Port
User
Private key
Clear view
User
query user
query admin
Clear view
Public key
register user
Private key / Credits
grant
credits
generate key pair
list users
list admins
User / Admin
{{userItem}}
Session
query session
start session
Clear view
Action
perform action
digest file
limit
list sessions
Session
{{sessionItem}}
log session
State Machine
query SSM
create SSM
preview SSM
Clear view
list state machines
State Machine
{{ssmItem}}


{% extends 'watson/base.html' %} {% block body %}
Hi,
We've received a request to reset your password.
Reset Password
If you did not make this request, you can ignore this email and your password will not be changed.


{% extends "skeleton.html" %} {% block body %}
{{search.result}}
{{search.error}}
Nothing. Perhaps you should ask a party officer, da?


Huge selection of roleplaying miniatures available for free download, including Falkor and a bear with sharks for hands
by John StruanMiguel Zavala, who has a Patreon, has created a huge number of 3d printable files for roleplaying miniatures and posted them for free download. It's a delightful selection of oddball Dungeons and Dragons characters, including many inspired by the longrunning Acquisitions Incorporated series:


I thought of you as awake; someone I could tear down the walls for until I realized you were a mere mirage; a fake.
I thought of you as awake; then I saw you would rather steal from me than build with me.
I hear the Karma Train Coming...... moving stealthily unhurried by your arrogance.
I thought of you as awake; then I saw you would rather steal from me than build with me.
I hear the Karma Train Coming...... moving stealthily unhurried by your arrogance.


Basic lrndesign-drawer demo (left fly out is always default)
This is some help text
Same flyout but from right side
This is some help text


--- layout: post title: "Applicative functors" description: "An applicative functor is a useful abstraction. While typically associated with functional programming, applicative functors can be conjured into existence in C# as well." date: 2018-10-01 6:34 UTC tags: [Software Design] --- {% include JB/setup %}
{{ page.description }}
This article series is part of a larger series of articles about functors, applicatives, and other mappable containers.
In a former article series, you learned about functors, and how they also exist in object-oriented design. Perhaps the utility of this still eludes you, although, if you've ever had experience with LINQ in C#, you should realise that the abstraction is invaluable. Functors are abundant; applicative functors not quite so much. On the other hand, applicative functors enable you to do more.
I find it helpful to think of applicative functors as an abstraction that enable you to express combinations of things.
In the functor article series, I mostly focused on the mechanics of implementation. In this article series, I think that you'll find it helpful to slightly change the perspective. In these articles, I'll show you various motivating examples of how applicative functors are useful.
A normal functor maps objects in an 'elevated world' (like C#'s IEnumerable<T>
or IObservable<T>
) using a function in the 'normal world'. As a variation, an applicative functor maps objects in an 'elevated world' using functions from the same 'elevated world'.
In Haskell, an applicative functor is defined like this:
class Functor f => Applicative f where pure :: a -> f a (<*>) :: f (a -> b) -> f a -> f b
This is a simplification; there's more to the Applicative
typeclass than this, but this should highlight the essence. What it says is that an applicative functor must already be a Functor
. It could be any sort of Functor
, like []
(linked list), Maybe
, Either
, and so on. Since Functor
is an abstraction, it's called f
.
The definition furthermore says that in order for a functor to be applicative, two functions must exist: pure
and <*>
('apply').
pure
is easy to understand. It simply 'elevates' a 'normal' value to a functor value. For example, you can elevate the number 42
to a list value by putting it in a list with a single element: [42]
. Or you can elevate "foo"
to Maybe
by containing it in the Just
case: Just "foo"
. That is, literally, what pure
does for []
(list) and Maybe
.
The <*>
operator applies an 'elevated' function to an 'elevated' value. When f
is []
, this literally means that you have a list of functions that you have to apply to a list of values. Perhaps you can already see what I meant by combinations of things.
This sounds abstract, but follow the above list of links in order to see several examples.
Applicative functors aren't explicitly modelled in F#, but they're easy enough to add if you need them. F# doesn't have typeclasses, so implementing applicative functors tend to be more on a case-by-case basis.
If you need list
to be applicative, pure
should have the type 'a -> 'a list
, and <*>
should have the type ('a -> 'b) list -> 'a list -> 'b list
. At this point, you already run into the problem that pure
is a reserved keyword in F#, so you'll have to find another name, or simply ignore that function.
If you need option
to be applicative, <*>
should have the type ('a -> 'b) option -> 'a option -> 'b option
. Now you run into your second problem, because which function is <*>
? The one for list
, or the one for option
? It can't be both, so you'll have to resort to all sorts of hygiene to prevent these two versions of the same operator from clashing. This somewhat limits its usefulness.
Again, refer to the above list of linked articles for concrete examples.
Applicative functors push the limits of what you can express in C#, but the equivalent to <*>
would be a method with this signature:
public static Functor<TResult> Apply<T, TResult>( this Functor<Func<T, TResult>> selector, Functor<T> source)
Here, the class Functor<T>
is a place-holder for a proper functor class. A concrete example could be for IEnumerable<T>
:
public static IEnumerable<TResult> Apply<T, TResult>( this IEnumerable<Func<T, TResult>> selectors, IEnumerable<T> source)
As you can see, here you somehow have to figure out how to combine a sequence of functions with a sequence of values.
In some of the examples in the above list of linked articles, you'll see how this will stretch the capability of C#.
This article only attempts to provide an overview of applicative functors, while examples are given in linked articles. I find it helpful to think of applicative functors as an abstraction that enables you to model arbitrary combinations of objects. This is a core feature in Haskell, occasionally useful in F#, and somewhat alien to C#.
Next: Full deck.


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DNTEFNP - Do Not throw Exceptions for Normal Processing
Throwing an exception is costly and should be reserved for exceptional situations. Something that you expect to happen normally during execution of your code is not exceptional. For example, if you are writing validation rules that either pass or fail, you should not generate an exception on your rule failure. Control anything you can directly with code. Exceptions are designed to handle situations for which you cannot possibly code.
Wrong
{
int i = 0;
while ( true )
{
process(array[i++]);
}
}
catch (ArrayIndexOutOfBoundsException e)
{
}


27. The Story of the Good Samaritan
One day, an expert in the Jewish law came to Jesus to test him, saying, "Teacher, what must I do to inherit eternal life?" Jesus answered, "What is written in God's law?"
The law expert replied that God's law says, "Love the Lord your God with all your heart, soul, strength, and mind. And love your neighbor as yourself." Jesus answered, "You are correct! Do this and you will live."
But the law expert wanted to prove that he was righteous, so he asked, "Who is my neighbor?"
Jesus answered the law expert by telling a story. "There was a Jewish man who was traveling along the road from Jerusalem to Jericho."
"While the man was traveling, he was attacked by a group of robbers. They took everything he had and beat him until he was almost dead. Then they went away."
"Soon after that, a Jewish priest happened to walk down that same road. When this religious leader saw the man who had been robbed and beaten, he moved to the other side of the road, ignored the man who needed help, and kept on going."
"Not long after that, a Levite came down the road. (Levites were a tribe of Jews who helped the priests at the Temple.) The Levite also crossed over to the other side of the road and ignored the man who had been robbed and beaten."
"The next person to walk down that road was a Samaritan. (Samaritans were the descendants of Jews who had married people from other nations. Samaritans and Jews hated each other.) But when the Samaritan saw the Jewish man, he felt very strong compassion for him. So he cared for him and bandaged his wounds."

"The next day, the Samaritan needed to continue his journey. He gave some money to the person in charge of the inn and said, 'Take care of him, and if you spend any more money than this, I will repay those expenses when I return.'"
Then Jesus asked the law expert, "What do you think? Which one of the three men was a neighbor to the man who was robbed and beaten?" He replied, "The one who was merciful to him." Jesus told him, "You go and do the same."
A Bible story from: Luke 10:25-37


I am a former educator inspired by data driven instruction to explore the world of data science
What are the most important factors in predicting the cost of a house? Is it the number of bedrooms, bathrooms, and square footage? How important is the neighborhood? What about basements or garages? This project explores the cost of houses in Ames, Iowa based on the Ames Housing dataset. Follow this link to read more about my findings.
Reddit is the self-proclaimed "front page of the internet." As one of the most visited sites on the internet, reddit can give clear insights into current social trends. In this project, I explored which factors were most important in determining whether a given post came from a subreddit supporting President Trump, or a subreddit supporting Robert Mueller. Factors investigated include the titles and comments of posts, what domains each post linked to, and the number of comments on a given post. Visit this link to learn more about my findings
Apart from being a data scientist, I love to travel, hike, and go to concerts. When forced indoors, I'm a huge fan of sci-fi and fantasy novels and podcasts, and I spend a large amount of my free time exploring the latest technology advancements in the data science world.


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Scooter
Jump five feet high and sideways when a shadow moves.
Snuggles
Cats secretly make all the worlds muffins instantly break out into full speed gallop across the house for no reason cat snacks lounge in doorway claws in your leg. Curl into a furry donut ignore the squirrels, you'll never catch them anyway claw drapes.

Johnny
Wild and young, Johnny is the fastest cat in the world. This large old cat is male. He has a medium-length white coat with a fawn tabby hood and tail with a spot on his back. He has a short, average-width face and is somewhat thin. He is especially fond of chicken, is a bit lazy, and is very friendly. He loves flowers 💐.


Profile
I would like to: To excel among professionals where i can utilize my skills with strong commitment and dedication , for the progressive growth of the company.
To work in a challenged and dynamic environment that offers opportunity for personal growth and advance in areas where success is the key
- Education
-
From :September 2017 - December 2021
Work, Masinde Muliro University of Science and Technology,
Kakamega
Major: Awaiting graduation in September
Minor:Certificate in HTS
- Employment History
-
Social Work, Tawakal Medical Clinic
From : May 2021 - July 2021
- Assisted in provision of individual and group counselling services and other
short term therapeutic services to patients.
-
Assist in conducting psychological assesments and Mental status Examinations .
- Ensured appropriate psycho social assesment and diagnosis of all the psychological cases are in line with hospitals requirement
-
Assisted in assesments for provision of Social assistance.
-
Ensured timely, quality and comprehensive reports for official work done.
-
conducted home visits and follow up of my patients.
-
mentored Tawakal youth, where every Friday we held a session on current matters that affect the youth of this generation
-
Trained 500 people on life skills in different organised groups in Nairobi.
-
Organissed Muslim Women Fora's where we empower adolescent Muslim girls and women with information on sexual and reproductive health including gender based violence and create awareness on Mental health.
-
Developing and designing of Amina and Ali Cse toolkit which is used by Muslim faith leaders in Madrasahs.
- Skills
-
- Leadership
- Effective Time Management
- Computer Skills
- Adaptability
- Ability to work under pressure
- Public speaking
- Collaboration and Teamwork
- Communication
- Languages
-
- English
- Swahili
- Somali
- Oromo
- References
- Dr. Abdulkadir Warsame from Tawakal Medical clinic
tawakal<EMAIL_ADDRESS>|<PHONE_NUMBER>


| CS 111 - Introduction to Computer Science
Homework #8 |
1. Pig Game: In file PigGame.java, implement this specification. Note: You'll want to copy your PigComputerGame.java code as a starting point.
2. Statistics: In file Statistics.java, implement this specification. In addition to public static methods implementing simple statistics such as
you will also implement a bootstrapping technique for computing confidence intervals on the mean of given data. First, we'll describe the process, then we'll outline the algorithm parts.
Imagine that you have some data, such as win or loss values from 2-player gameplay. Let a first-player win or loss be counted as value 1 or 0, respectively. Suppose our initial data array consists of 7 wins and 3 losses. Do we have 90% confidence that the first player has some advantage over the second player? Put another way, would we expect the mean win value to be above .5 with 90% confidence if we collected more data? The "bootstrap" is a versatile statistical approach that can help us with confidence intervals (and more) when the data doesn't follow common assumptions (e.g. having a normal distribution).
In this example, suppose our data array is 7 ones and 3 zeros:
[1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 0.0]
The main assumption of bootstrapping is that this is a representative sample. The first step of bootstrapping is that we resample our original data many times. With each resample, we construct a new array with randomly selected values from our original data array. We select each element of our original array with equal probability for each position of the resample array, so the resample will usually contain duplicates and omit values in the original array. For our purposes, we'll resample 1,000,000 times:
[0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0]
[1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 0.0, 1.0, 1.0]
[0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0,
1.0]
... (999,996 resamples omitted) ...
[1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0]
If we're interested in a statistic, we compute it on each of the resamples. In this case, we want to know if the mean value is above .5 with 90% confidence, so we compute the mean of each resample:
[0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0] ® 0.6
[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0] ® 0.9
[0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0] ® 0.8
... (999,996 resamples omitted) ...
[1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0] ® 0.8
Next, we put all of these resample means into an array and sort them:
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.1, 0.1, 0.1, ... (999,980 resample means omitted) ... , 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
A 90% confidence interval for the mean statistic can then be computed as the top and bottom values of the middle 90% of values in this array of resample means. Put another way, we look at the values at 5th and 95th percentiles (i.e. 5% and 95% of the way through the array). In this case, the resample mean values at the 5th and 95th percentiles are 0.5 and 0.9, respectively. Because the lower end of this interval (the 5th percentile) is 0.5, indicating an even chance of winning or losing, we cannot conclude with 90% confidence that a player with 7 out of 10 wins has an advantage.
However, the 15% and 85% percentile values are 0.6 and 0.8, respectively, so we could say that we have 70% confidence that the first player has an advantage.
To program the bootstrap technique for this assignment, you are given an implementation of percentile lookup in a sorted data array (public static double getPercentile(double[] data, double percentile)), but the rest is up to you. None of the relevant methods have method bodies that require more than 5 lines of code if expressed compactly.


Represents a condition that an object is in when retrieving capability on
it. A host can be in multiple conditions at the same time. Currently we
have the following ones.
Enum Constants
Name
Description
calculated
Capabilities are not retrieved from the host but are calculated based on host's version.
disconnected
Host is in disconnected state.
oldversion
Host version is before ESXi 6.0 U1.
unknown
Not able to get/calculate the host's capabilities, thus empty capability list returned.


Better late than never #rubyconf! Slides from my talk "GDB: A Gentle Intro" are online https://speakerdeck.com/jasonrclark/gdb-a-gentle-intro. Thanks all who came along!
11/18/2015, 8:28:55 PM
Favs: 2
Retweets: 2
link--- layout: tweet ---
Better late than never #rubyconf! Slides from my talk "GDB: A Gentle Intro" are online https://speakerdeck.com/jasonrclark/gdb-a-gentle-intro. Thanks all who came along!
11/18/2015, 8:28:55 PM
Favs: 2
Retweets: 2
link