:to apply a brake or skid to :slow or halt by a skid
:to haul (as logs) by dragging cutting and skidding firewood
:to haul along, slide, hoist, or store on skids
:to slide without rotating (as a wheel held from turning while a vehicle moves onward)
:to fail to grip the roadway
:to slip sideways on the road
:to slide sideways away from the center of curvature when turning
:slide slip
:to fall rapidly, steeply, or far sales skidded last year


This is a demo of the classic editor build that loads the Math
and AutoformatMath
plugin.
Math
inserts mathematical formulas into the editor. You can click the CKEditor 5 Math icon in the toolbar and see the results.
This should show "\test" as ≠ via katexRenderOptions.macros:


Get Started


This buffer gives read access to any element in the buffer not just the first or last element.
Public Member Functions | |
| CyclicBuffer (int maxSize) | |
Instantiate a new CyclicBuffer of at most maxSize events. | |
| ~CyclicBuffer () | |
| void | add (const spi::LoggingEventPtr &event) |
Add an event as the last event in the buffer. | |
| spi::LoggingEventPtr | get (int i) |
| Get the ith oldest event currently in the buffer. | |
| int | getMaxSize () const |
| spi::LoggingEventPtr | get () |
| Get the oldest (first) element in the buffer. | |
| int | length () const |
| Get the number of elements in the buffer. | |
| void | resize (int newSize) |
Resize the cyclic buffer to newSize . |
|
|
Instantiate a new CyclicBuffer of at most
The
|
|
|
|
|
|
Add an
|
|
|
Get the oldest (first) element in the buffer. The oldest element is removed from the buffer. |
|
|
Get the ith oldest event currently in the buffer.
If i is outside the range 0 to the number of elements currently in the buffer, then |
|
|
|
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Get the number of elements in the buffer.
This number is guaranteed to be in the range 0 to |
|
|
Resize the cyclic buffer to
|


« CSS « CSS Reference
The unicode-bidi
property together with the
direction
property relates to the handling of bidirectional text in a document. For example, if a block of text contains both left-to-right and right-to-left text then the user-agent uses a complex Unicode algorithm to decide how to display the text. This property overrides this algorithm and allows the developer to control the text embedding.
Note: This property is intended for DTD designers. Web designers and similar authors should not override it.
Syntax
unicode-bidi: [ normal | embed | [ isolate || bidi-override ] | plaintext | inherit ] ;
Values
normal
- The element does not offer a additional level of embedding with respect to the bidirectional algorithm. For inline elements implicit reordering works across element boundaries.
embed
- If the element is inline, this value opens an additional level of embedding with respect to the bidirectional algorithm. The direction of this embedding level is given by the
direction
property. bidi-override
- For inline elements this creates an override. For block container elements this creates an override for inline-level descendants not within another block container element. This means that inside the element, reordering is strictly in sequence according to the
direction
property; the implicit part of the bidirectional algorithm is ignored. isolate
- This keyword indicates that the element's container directionality should be calculated without considering the content of this element. The element is therefore isolated from its siblings. When applying its bidirectional-resolution algorithm, its container element treats it as one or several
U+FFFC Object Replacement Character
, i.e. like an image. This keyword can be combined with bidi-override.
plaintext
- This keyword makes the elements directionality calculated without considering its parent bidirectional state or the value of the
direction
property. The directionality is calculated using the P2 and P3 rules of the Unicode Bidirectional Algorithm.
This value allows to display data which has already formatted using a tool following the Unicode Bidirectional Algorithm.
Examples
.bible-quote {
direction: rtl; unicode-bidi: embed;
}
Browser compatibility
| Feature | Chrome | Firefox (Gecko) | Internet Explorer | Opera | Safari (WebKit) |
| Basic support | 2.0 | 1.0 (1.7 or earlier)
| 5.5 | 9.2 | 1.3 |
isolate | 16 | 10.0 (10)
[1]
| -- | -- | -- |
plaintext | -- | 10.0 (10)
[2]
| -- | -- | -- |
| Feature | Android | Firefox Mobile (Gecko) | IE Phone | Opera Mobile | Safari Mobile |
| Basic support | 1.0 | 1.0 (1.0)
| 6 | 8 | 3.1 |
isolate | -- | 10.0 (10)
[3]
| -- | -- | -- |
plaintext | -- | 10.0 (10)
[4]
| -- | -- | -- |


|
||||||||||
| PREV NEXT | FRAMES NO FRAMES |
| Packages | |
|---|---|
| edu.utdallas.paged.assembler | This package defines the use of assemblers to create various models used in this extension. |
| edu.utdallas.paged.db | A general database backend for persistent storage of Jena models. This package allows retrieval of large datasets from a MySQL database. |
| edu.utdallas.paged.graph | Defines the Graph in this extension. |
| edu.utdallas.paged.graph.query | Defines the graph-level Query classes, allowing multi-pattern query over arbitrary graphs. |
| edu.utdallas.paged.mem.algorithm | Defines the algorithms used for memory management of RDF graphs. |
| edu.utdallas.paged.mem.cache | Defines various cache strategies used in memory management of RDF graphs. |
| edu.utdallas.paged.mem.disk | Defines various query mechanisms for Lucene indicies. |
| edu.utdallas.paged.mem.util | Miscellaneous collection of utility classes. |
| edu.utdallas.paged.query | Defines the SPARQL query execution mechanisms over this extension. |
| edu.utdallas.paged.rdf.model | A package for creating and manipulating RDF graphs with this extension. |
| edu.utdallas.paged.sdb | A SPARQL database backend for persistent storage of Jena models. This package allows retrieval of large datasets from a MySQL database. |
| edu.utdallas.paged.sdb.graph | Defines the Graph classes for the SPARQL database model in this extension. |
| edu.utdallas.paged.shared.impl | This package defines the properties that can be specified as user parameters in this extension. |
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES |


{% extends path+"/layout.html" %} {% block page %}
You’ll need to provide a doctor’s not to us via some other method.


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Create your own business cards
Great content is the best sales tool in the world
— Marcus Sheridan
Project Cardify
We here at cardify are believe that in the modern world of business, it is useless to be a creative, original thinker unless you can also sell what you create.
Transforming a brand into a socially responsible leader doesn’t happen overnight by simply writing new marketing and advertising strategies.
Cardify just makes everything simple, no designing experiance required. One can be the sailor of his own boat.
Asthetic designs
Download and print your designs.
Unfold your self story.Let the cards do the talking.
— Cardify
What are you waiting for !?
Move a step towards creating your first card...


CEERS Data Release 0.6
Please consider subscribing to our email list to receive updates related to released data products and alerts when future data releases are available.
We are excited to announce CEERS Data Release 0.6! Here we provide our team's reductions of the second set of CEERS MIRI and NIRCam imaging, observed as part of CEERS Epoch 2 in December 2022. See below for more information.
The CEERS observations have been split into two epochs. The first set of CEERS MIRI+NIRCam images (MIRI as the primary instrument and NIRCam in parallel) were obtained on 21 June, 2022, and involved CEERS pointings 1, 2, 3 and 6. We share our first reduction of these Epoch 1 images in CEERS Data Release 0.5.
The CEERS Epoch 2 observations include six pointings with NIRSpec MSA+NIRCam imaging (pointings 4, 5, 7, 8, 9 and 10), four of which are also observed with NIRCam WFSS+MIRI imaging (pointings 5, 7, 8 and 9). These pointings were observed with a 180° position angle rotation relative to the June imaging (see Observing Modes for more info).
Images are available on the CEERS storage space at the Texas Advanced Computing Center or via the links below. Images will also be available on MAST soon.
NIRCam Imaging
MIRI Imaging
Epoch 2 NIRCam Imaging and Reduction
This data release includes CEERS NIRCam pointings 4, 5, 7, 8, 9 and 10, obtained in parallel to prime NIRSpec MSA observations. We also include the SW F115W and direct imaging in F356W obtained as part of the NIRCam WFSS observations in pointings 5, 7, 8 and 9. The four pointings from Epoch 1 (1, 2, 3 and 6) can be accessed through CEERS DR05. This DR06 NIRCam reduction is almost identical to that of DR05, where the difference is an updated version of the Calibration Pipeline and the CRDS reference file pmap.
We also provide all scripts necessary to reproduce our reduction on GitHub at ceers-nircam. The NIRCam data reduction is descriped in detail in Bagley et al. (2023). Please cite this paper if you use the reduced images or reduction scripts for your project.
To access the full NIRCam data release directly, visit this link. Alternatively, see below to access the fully reduced mosaics in each pointing and filter. Please see the associated README describing the release.
Summary
- Instrument: NIRCam
- Mode: Imaging
- Calibration Pipeline Used: jwst v1.8.5
- CRDS Context pmap: 1023
- Target: NIRCam pointings 4, 5, 7, 8, 9, 10 (in parallel with prime NIRSpec MSA), with additional SW F115W imaging and F356W direct imaging in NIRCam WFSS pointings 5, 7, 8 and 9
- Filters: SW F115W, F150W, F200W; LW F277W, F356W, F410M, F444W
- Readout: MEDIUM8 (NIRSpec parallels), SHALLOW4 (WFSS imaging)
- Observation specification: 5, 6 or 9 groups, 1 integration
- Dithers: 3 point dither in each filter (defined by the NIRSpec primary observations), 4 point dither for F115W imaging in WFSS pointings (defined by MIRI parallels), direct and out-of-field imaging in F115W and F356W in WFSS pointings
Mosaics
- Fully reduced mosaics for the 6 pointings and all 7 filters are available here or in the table below.
- NIRCam5, 7, 8 and 9 include the additional imaging in F115W and F356W that was obtained as part of the WFSS observations.
- The mosaics are on pixel scales of 0.03"/pix and are pixel-aligned across all filters. The science images are in units of MegaJansky per steradian (MJy/sr), and so the zeropoint is 28.08652 AB mag.
- Each mosaic is a gzipped FITS file with 13 extensions, all described in the README. The gzipped files are each ~1.3-2 GB and unzip to ~2.2-3.2 GB (~4.5 for F115W in the fields with extra imaging from the WFSS observations).
- We also provide pixel-aligned images in all available HST filters for each pointing. The HST images are gzipped FITS files with 6 extensions. They are ~1.1-1.6 GB and unzip to ~1.3-1.9 GB.
- The first row of the table below provides a link to a gzipped tarball (tar.gz) containing mosaics for all filters of the pointing. These tarballs are ~15-20 GB.
Data reduction
We have reduced images through version 1.8.5 of the JWST Calibration Pipeline with custom Python scripts developed to handle additional corrections such as "snowballs", "wisps", 1/f noise, and background subtraction. Please see Bagley et al. (2023) for details on our reduction. Our full set of scripts and Pipeline parameter files are available on GitHub at ceers-nircam.
Epoch 1&2 MIRI Imaging and Reduction
This data release includes all eight CEERS MIRI pointings (1, 2, 3, 5, 6, 7, 8, 9). The four Epoch 1 pointings released in DR05 have been reprocessed along with the four Epoch 2 pointings such that all images shared here are reduced consistently. MIRI pointings 1, 2, 3 and 6 were obtained in June 2022 as the primary observations with NIRCam parallels. Pointings 5, 7, 8 and 9 were obtained in December 2022 in parallel with NIRCam WFSS primary observations. The MIRI data reduction is presented in detail in Yang et al. (2023). Please cite this paper if you use the reduced images or reduction scripts for your projet.
To access the full MIRI data release directly, visit this link. Alternatively, see below to access the fully reduced mosaics in each pointing and filter. Please see the associated README describing the release.
Summary
- Instrument: MIRI
- Mode: Imaging
- Calibration Pipeline Used: jwst v1.9.3
- CRDS Context pmap: 1039
- Target: MIRI Pointings 1, 2, 3, 6 (as primary with parallel NIRCam imaging); 5, 7, 8, 9 (as parallel with prime NIRCam WFSS)
- Filters: F560W, F770W, F1000W, F1280W, F1500W, F1800W, F2100W
- Readout: SLOWR1 (F560W and F770W), FASTR1 (all other filters)
- Observation specification: Groups and integrations vary by filter and pointing
- Dithers: 3 and 4-point dithers, optimized for MIRI+NIRCam coordinated parallels
Mosaics
- Fully reduced mosaics for all 8 pointings and in all filters are available here or in the table below.
- The mosaics are on pixel scales of 0.09"/pix and are pixel-aligned across all filters. The science images are in units of MegaJansky per steradian (MJy/sr), and so the zeropoint is 25.70091 AB mag.
- Each mosaic is a FITS file with 11 extensions, all described in the README.
- We have also produced custom RMS maps using astroRMS to account for pixel-correlated noise. These are included as an extension in each FITS file, and we and strongly recommend using them instead of the pipeline-produced ERR map.
Data reduction
We have reducded images throught version 1.9.3 of the JWST Calibration Pipeline with custom Python scripts developed to handle additional corrections such as outlier detection and background subtraction. Please see Yang et al. (2023) for details on our reduction. Our pre-flight MIRI reduction of simulated images is presented in Yang et al. (2021).


Open Source Image Uploader created with jquery. Build over Cropper Library.
Key Features
- Customizable Image upload menu
- Edit Image before uploading
- Image Cropping facility
- Apply filters to Image
- Upload Image using ajax
- Easily Integrable with bootstrap
Acknowledgement
The backbone of this plugin is Cropper Library so all credit goes to it
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.
License
MIT


Dear Friend, I got your e-mail contacts from computerised datas after my extensive search via the website for a God-fearing and trust-worthy person to bestow this transaction which is the only hope of our survival into his or her hands.When i got your address,I prayed and meditated fervently over it and i commited it into the hands of God that you should be the rightful person to help us out before I made up my decision to contact you.I am The Manager of Auditing Department of Our Bank ,Ouagadougou Burkina Faso.In my department we discovered an abandoned sum of USD$15.m(Fifteen million united states dollars). In an account that belongs to this our foreign customer who died along with his wife and and children in the plane crash.Since we got information about his death, we have been expecting his next of kin to come over and claim his money because we cannot release it unless somebody applies for it as the next of kin or relation to the deceased, as indicated in our banking guidelines but unfortunately we learnt that all his supposed next of kin or relation died alongside with him in the plane crash leaving nobody behind for the claim.It is therefore upon this discovery that I decided to make this usiness proposals to you and release the money to you as next of kin or relation to the deceased for safety and subsequent disbursement since nobody is coming for it because I don't want this money to go into the bank treasury as unclaimed Bill. The banking law and guidelines here stipulates that if such money remains unclaimed after five years, the money will be transferred into the bank treasury as unclaimed fund.The request of foreigner in this transaction is necessary because our late customer was a foreigner and a Burkinabe cannot stand as next of kin to a foreigner,I agree that 30% of this money will be for you as foreigner partner in respect to the provision of a foreign account. 10% will be set aside for expenses incurred during the business and 60% would be for me , After which I shallvisit your country for disbursement according to the percentages indicated.Therefore to enable the immediate transfer of this fund to you as I have arranged,you will furnished me with a good receiving account details where the money will betransfered,your private tel and fax number for easy communication. Upon receipt of your reply, I will send to you by fax or e-mail a text of the application which you shall retype and fax to our foreign remittance manager,for easy execution of the transaction.I will not fail to bring to your notice that this transaction is 100% hitch-free on both side. As all required arrangement have been made for the transfer and more so all the documents backing this claim will be supplied to you after you might have applied.Please I would like you you keep this transaction confidential and as a top secret as you may wish to know that I am a senior Bank official.Trusting to hear from you immediately. Yours Sincerely, Mr. kaburo musa _________________________________________________________________ Windows Live Messenger sur i-mode� : dialoguez avec vos amis depuis votre mobile comme sur PC ! http://mobile.live.fr/messenger/bouygues/


Coconet is an instance of an orderlessNADE, that uses deep convolutional
neural networks to perform music inpaintings through Gibbs sampling.
In the demo below, we call infill()
to create Bach-style
4-part harmonies with the provided input, and display the result.
The default behaviour of the model is to infill all of the "silence" in a NoteSequence. In this example, only the first voice (Soprano) is present for all the time steps, so Coconet will infill the other 3 voices (Alto, Tenor and Bass)
Input:
Result: Loading...
It took:
temperature
and numIterations
parameters to the
infill()
method.
Input:
Result: Loading...
It took:
As mentioned before, the default behaviour of the model is to infill all
of the "silent" measures. In order to distinguish between intended rests and
infill sections, you can use the infillMask
parameter to
specify exactly which section to be infilled.
Input:
Result: Loading...
It took:
Total Leaked Memory:


Music Synthesizer
Syntax:
- 24 semi-tones (2 octaves): c c# d d# e f f# g g# a b h C C# D D# E F F# G G# A B H
- Sharp/flat: c# cb (c sharp and c flat, hb = b)
- Octaves: 0c 1c 2c 3c 4c 5c 6c 7c 8c 9c (0C = 1c, 4a = 440 Hz)
- Octave defaults to same as for previous note (or rest) in same sequence (initially 4)
- Relative duration: c1 c c/2 c c3/8 (whole, whole, half, half, 3/8)
- Relative duration defaults to same as for previous note in same sequence (initially 1/4)
- Absolute duration: c2500*1/4 c (2 quarter notes at 2500 ms per whole note)
- Absolute duration defaults to same as for previous note in same sequence (initially 2000)
- Rests: r1 r r/2 (whole, whole, and half rests)
- Tracks: 1: c d e 2: g a h (track 1 plays c d e while track 2 plays g a h in parallel, default track is 0)
- Tracks: 1: c d 2: g a h 1: e (same as above, except track 1 is defined in 2 parts)
- Instruments: 1(2): c d (track 1 uses instrument 2, default instrument is 0)
- Named sequences: hiho: g a 1: c1 1 hiho d (track 1 uses itself and hiho sequence and becomes: c1 c1 g/4 a/4 d1)
- A reference to a named sequence is replaced by all notes in the sequence at the point of
reference, i.e. not including notes added to the sequence later
- Volume: v0.5 c d v1 c d (notes c and d at half volume, then at full (auto-scaled) volume)
- Comments: /* Multi-line comment */ c d // Single-line comment


As you already know - my name is Daniel. I'm 34 years old and originally from Russia. I moved in United States in 2017.
I think I can list few reasons:
Here is list of my projects I was complited with Epicodus and CS50


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September 20, 2003
Bush backs amnesty for Colombian terrorists
Inter Press Service | Submitted by: Reid Fleming
"A Colombian proposal to amnesty leaders of right-wing paramilitary groups responsible for some of the worst massacres of the country's decades-long civil war has been strongly assailed by a major U.S. human-rights researcher. In a release issued by Human Rights Watch (HRW), Robin Kirk, the author of More Terrible Than Death: Massacres, Drugs and America's War in Colombia, called on the administration of U.S. President George W. Bush to cut off aid to the South American country if the proposal is adopted. ... The Bush administration, Uribe's biggest foreign booster, has not commented publicly on the proposal, but the New York Times reported Monday that it had provided advice to Bogotá on drafting legislation that would implement the scheme's main components."
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Read article...
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Muslim chaplain arrested
WSET-TV 13 Lynchburg | Submitted by: Reid Fleming
"An Army Islamic chaplain who counseled al-Qaida prisoners at Guantanamo Naval Base in Cuba has been detained as part of a military investigation, Southern Command officials said Saturday. Capt. James Yee, also known as Yousef Yee, has been confined since Sept. 10, but has not been charged with any crimes... A senior law enforcement official, speaking on condition of anonymity, said FBI agents confiscated classified documents Yee was carrying and questioned him before he was handed over to the military. ... Yee is being held at a military brig in Charleston, S.C., Crosson said. That is the same place where officials are holding Yaser Esam Hamdi, an American-born Saudi who allegedly fought with the Taliban, and Jose Padilla, a former Chicago gang member charged with plotting to detonate a radioactive 'dirty bomb.'"
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JetBlue ratfucks own customers
Barre Montpelier Times Argus | Submitted by: Reid Fleming
"Violating its own privacy policy, JetBlue Airways gave 5 million passenger itineraries to a Defense Department contractor that used the information as part of a study seeking ways to identify 'high risk' airline customers. ... The New York-based airline sent an e-mail apologizing to angry customers and said it has taken steps so the situation will not happen again. 'This was a mistake on our part,' JetBlue chief executive David Neeleman said. ... JetBlue provided passengers' names, addresses and phone numbers to Torch after an 'exceptional request from the Department of Defense to assist their contractor, Torch Concepts, with a project regarding military base security.'"
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Read article... and
This article...
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Jailer charged with gobbling inmate cock
sanluisobispo.com | Submitted by: Laila Whosthebitchnowmotherfucker
"Former County Jail officer Curt Lowgren admitted to investigators to orally copulating a 21-year-old inmate at the facility, according to court records released after he was charged Tuesday with one felony count of the crime. ... According to a Sheriff's Department report, the alleged victim said Lowgren opened the door to a dark Cell No. 608 as the inmate laid on his bed wearing a T-shirt, underwear and socks. After being in the cell for several minutes, Lowgren orally copulated him, according to court documents. ... As Lowgren left the cell, he told the inmate not to tell anyone what happened or Lowgren would make his stay 'hell.'"
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Read article...
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130 house cats sets new record
WISN-TV 12 Milwaukee | Submitted by: Reid Fleming
"Animal control officers in the city have removed 130 cats from a house on the city's south side and are still searching for more. The finding smashes the city record of 82 cats removed from a single home in the late 1980s. ... Inspectors came to the house last week after neighbors complained of a smell. They found sinks and bathtubs filled with cat food. The cats apparently were drinking from the house's three toilets and a leaky pipe. They found trash and cat feces two-to-three feet deep and covered with endless streams of bugs."
 Leanne White, 29, had bravely testified against evil George Davison and helped jail him for 15 years. He became eligible for parole last week after serving half his sentence. But nursing home carer Leanne feared she would be haunted by the beast who abused her from the ages of 11 to 14. She climbed to the top of the Brunel car park in Swindon, Wilts, and plunged to the ground in front of horrified shoppers."
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Man sues hospital over lost legs, fingers
News Corporation | Submitted by: Tim Howard
"Two Queensland hospitals are being sued for $2.5 million after an alleged series of medical bungles left a man without his legs. Glenn Nutter, who also lost five of his fingers, claims his shocking injuries were caused when medical staff failed to correctly diagnose his condition and then administered excessive amounts of an anaesthetic drug that had devastating side-effects. The 42-year-old former mining industry worker is suing Mount Isa Base Hospital and Cairns Base Hospital for negligence over the 1998 incident, when doctors allegedly failed to diagnose a potentially lethal streptococcal infection quickly enough. ... It is further alleged doctors later administered 500mg of the drug thiopentone, causing Mr Nutter to suffer up to seven heart attacks within three minutes of being injected."
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Text messaging kills 4-year-old
pub.tv2.no | Submitted by: Tim Howard
"A 30-year-old man is charged with murder after he ran down and killed a 4-year-old while sending text messages on his cell phone. According to the police, the use of a cell phone was the reason why the driver did not manage to stop the car when Martine Skagen, 4, ran into the street, the paper VG reports. ... The driver has allegedly admitted to sending and receiving text messages while he was driving, but he claims they did not interfere with his driving."
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Galileo on kamikaze mission
galileo.jpl.nasa.gov | Submitted by: JJ
"In the end, the Galileo spacecraft will get a taste of Jupiter before taking a final plunge into the planet's crushing atmosphere, ending the mission on Sunday, Sept. 21. ... The spacecraft has been purposely put on a collision course with Jupiter to eliminate any chance of an unwanted impact between the spacecraft and Jupiter's moon Europa, which Galileo discovered is likely to have a subsurface ocean. ... Although scientists are hopeful to get every bit of data back for analysis, the likelihood of getting anything is unknown because the spacecraft has already endured more than four times the cumulative dose of harmful jovian radiation it was designed to withstand. The spacecraft will enter an especially high-radiation region again as it approaches Jupiter."
 He drove her to a trailer park, led her into a room wallpapered with posters of nude women and handcuffed her to the bed before raping her. At one point, the suspect kissed the woman on the forehead before going to his construction job, then changed his mind and raped her again, police said. ... The alleged videotaped attack occurred after Jesso went to a Sears and bought a video camera, the woman said."
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Illinois shutting youth home
thetimesonline.com | Submitted by: SpecialK
"Illinois child welfare officials announced Friday they will pull all state wards from Maryville Academy's main campus, calling it an unsafe environment... Maryville has been under scrutiny for more than a year for its handling of a teen suicide and two alleged sexual assaults. Monitors and critics have said the Des Plaines campus treats children with severe problems even though its staff is not properly trained to deal with them. Maryville's staff also has been accused of not properly reporting mistakes and incidents. Maryville and state officials this week confirmed that FBI agents are looking into possible Medicaid fraud and the handling of the suicide at Maryville."
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Students forced to wear trash bags
WKMG-TV 6 Orlando | Submitted by: Tim Howard
"Two Bronx girls reportedly had to wear skirts made of trash bags to class as a punishment for coming to school in jeans rather than their uniforms. The sixth-graders at the Bronx Preparatory Charter School were made to wear the bags by principal Marina Bernard Damiba. Damiba called the garbage-bag skirts 'Damiba fashions' and said they weren't meant to be humiliating. 'It was more of a fun way to say, "Listen, guys, wear the uniforms,"' she said."
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Girl still pulling for Caucasian Club
Contra Costa Times | Submitted by: Jonny Plasma
"Freedom High School officials say they will not make any decision on a proposed Caucasian Club until freshman Lisa McClelland meets necessary application requirements, including finding an adviser and drawing up a club constitution. ... Lisa is pushing for a Caucasian Club in an effort, she says, to break down racial barriers while embracing European American heritage. ... Lisa said she's heard positive and negative feedback from people since her cause became public, but regardless, she is not deterred. 'I'm not going to let it get to me,' she said. 'I'm excited. I'm all about the idea of learning about my heritage.'"
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Disneyland irritating downwind neighbors
Orange County Weekly | Submitted by: juanholmes
"William Fitzgerald says his neighborhood looks like a 'war zone.' Every night from June to August -- as well as weekends and holidays during the off-season -- the nearby Disneyland Resort sets off a massive fireworks display. Within minutes, a 100-foot-tall cloud of smoke rolls through the streets and homes in Fitzgerald’s neighborhood. ... 'Our estimates are 200 rounds going off each night,' Fitzgerald said. 'Afterward, you are blanketed in a big smoke cloud for 10 or 15 minutes.  This sulfuric acid is very corrosive. You can see lines on the cars where the paint has peeled away. Common sense tells you not to set off fireworks every day in a heavily populated area where the smoke hurts children and people with asthma.'"
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RIAA helping child molesters
Register | Submitted by: Reid Fleming
"US telco giant SBC has hit back at the Recording Industry Association of America's legal blitz against music lovers. In testimony before the Senate this week, SBC's counsel Jim Ellis said that the RIAA was making an end run around the constitution by issuing a blitz of subpoenas with no judicial oversight. Ellis argued that the legal tactics deployed by the RIAA could be adopted by Net stalkers and child molesters."
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Man convicted of fictional child porn
Daytona Beach News-Journal | Submitted by: Reid Fleming
"A man imprisoned for writing fictitious stories of child torture and molestation has been released from jail two months after an appeals court threw out his child pornography conviction. ... Dalton, 24, is believed to be the first person in the United States successfully prosecuted for child pornography for writings rather than images. The stories, which prosecutors say were made-up and never acted on, were about three children, ages 10 and 11, being caged in a basement, molested and tortured."
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gov.nasa.worldwind.render.markers
Interfaces
Marker
MarkerAttributes
MarkerShape
Classes
BasicMarker
BasicMarkerAttributes
BasicMarkerShape
BasicMarkerShape.Cylinder
BasicMarkerShape.HeadingArrow
BasicMarkerShape.HeadingLine
BasicMarkerShape.Shape
MarkerRenderer


%name%
%icon%
%name%
Type:
%itemType%
Choose Min Bid
5% of min bid, will be collected from your inventory when auction is created.
Choose auction duration
How many minutes, auction has to be listed (cannot be more than 1 week - 10080)
Do you want to start auction?


In a browser far, far away....
New AdventureHow to play: Use your arrow keys to move the tiles. When two tiles with the same picutre touch, they merge into one!
Note: This site is a forked-copy of the official version of 2048. You can play the original by Gabriele Cirulli on your phone via http://git.io/2048. All other apps or sites are derivatives or fakes (and possibly still cool!), and should be played with a lightsaber.
Created/Modified by Jasmine Dumas. Based on 1024 by Veewo Studio and conceptually similar to Threes by Asher Vollmer. Thanks to Gabriele Cirulli for making this project open-sourced and the Udacity Instructors: Andy Brown + Sarah Spikes. The course can be found here: https://www.udacity.com/course/ud248.


WITNESS LIST Higher Education Committee June 24, 1998-11:00A Agency Oversight For: Yeager, Kathryn A. (self, MSU B of Regents) On: Arnold, Beth (State Auditor's Office) Brown, Don W. (TX Higher Ed. Crd. Brd) Farrington, Jerry (UNT Board of Regents) Garcia, Rey (TACC) Hurley, Alfred F. (Univ. of North Texas) Jackson, Willard (TSU) Kellahger, Sheila (TWU Board of Regents) Lebermann, Lowell H. (UT Board of Regents) McMahen, Charles E. (U of H System) Montford, John T. (Texas Tech) Nash, Elizabeth (TSTU System) Powell, Don (TX A&M System B of Reg.) Rauch, Leonard (TX Higher Ed. Crd. Brd) Rodriguez, Lynn (TX Higher Ed. Crd. Brd) Santibanez, Lydia (TACC) Sayavedra, Leo (self, TX A&M System) Smith, Arthur K. (Univ. of Houston System) Surles, Carol D. (TX Woman's University) Thompson, Barry B. (TX A&M System) Urbanovsky, Lamar (TSUS) Whitacre, Edward E. (TX Tech System)


Every great dream begins with a dreamer. Always remember, you have within you the strength, the patience, and the passion to reach for the stars to change the world.
Harriet Tubman
The Text is easy to read and there is a prominent logo on the page. The most important information is visible without scrolling down the page (except the services page). The purpose comes through but I would add engaging photos and images that flow with your content. I would design the services page to be divided into sections I can see all at once. As a consumer, I want to be able to compare services and what's best for me without scrolling through them.
In the About section I would include a photo or photos of Treble Girl Entertainment. I would add a Blog section to post once a week. The blog could be intros to artists you're working with, helpful tips and etc. I would also suggest adding a testimonial tab. Testimonials are a great way to engage new clients.
Google's Site Speed Analyzer scored your site at 97/100! Which means it loads quickly! All of your links and buttons are working. Social Media links are included.
The overall design is clean and easy to read. A picture or your logo would be dope as the first thing people see on the page. Would you combine Treble Girl Studios and Treble Girl Entertainment to one site? The navigation bar can be resized to fit all of the links.
I would suggest including artists/people Treble Studios has or is currently working with. For the internship, the embedded form is great. I would also include more information about the internship(details of the opportunity, how long the internship lasts, and what previous interns are doing now).
Google's Site Speed Analyzer scored your site at 89/100! Google makes some suggestions to eliminate render-blocking resources to make the page load faster.
The homepage is great and grabs the audience's attention. Depending on the screen size the navigation bar gets hidden, I would suggest moving it to the top of the page or resizing the homepage so it all fits. I would just clean up the website by using consistent fonts, sizing, and spacing.
There is plenty of great content on this website. The purpose is met of informing the audience on who you are as an artist.
Google's Site Speed Analyzer scored your site at 68/100! Google makes some suggestions to optimize images and eliminate render-blocking resources to make the page load faster.
The image is great for the page. If you have a PRO account you can add a custom background with your logo. Not necessary but a nice addition. I would make each link have an image next to it.
I would remove the links to social media because you already have the icons at the bottom. The other links you have a great and show diversity as an artist.
The youtube and soundcloud icon links are not working but the button links work.
Adding your calendar to your website is going to be an easy thing to do. We can embed the entire calendar, use a widget, or use buttons. It will be great to have all of it in one place.
Color coding and adding detailed descriptions would be helpful to clients scheduling with you.
Adding this to a consulting tab is a great idea. It will be easy to navigate and communicate with you.
I am excited to work with Treble Girl Entertainment. I started my journey in STEM when I joined Teach For America in 2014. I have taught STEM classes for years and wanted to get more into web development. I am a self taught web developer that plans to take what I learn to teach children that look like me the same. I am excited to work with you all to develop my skills further while bringing my own set of skills to your company #blackgirlmagic .
/


| skimage.morphology.ball(radius[, dtype]) | Generates a ball-shaped structuring element of a given radius (the |
| skimage.morphology.binary_closing(image, selem) | Return fast binary morphological closing of an image. |
| skimage.morphology.binary_dilation(image, selem) | Return fast binary morphological dilation of an image. |
| skimage.morphology.binary_erosion(image, selem) | Return fast binary morphological erosion of an image. |
| skimage.morphology.binary_opening(image, selem) | Return fast binary morphological opening of an image. |
| skimage.morphology.black_tophat(image, selem) | Return black top hat of an image. |
| skimage.morphology.closing(image, selem[, out]) | Return greyscale morphological closing of an image. |
| skimage.morphology.convex_hull_image(image) | Compute the convex hull image of a binary image. |
| skimage.morphology.convex_hull_object(image) | Compute the convex hull image of individual objects in a binary image. |
| skimage.morphology.cube(width[, dtype]) | Generates a cube-shaped structuring element (the 3D equivalent of |
| skimage.morphology.diamond(radius[, dtype]) | Generates a flat, diamond-shaped structuring element of a given radius. |
| skimage.morphology.dilation(image, selem[, ...]) | Return greyscale morphological dilation of an image. |
| skimage.morphology.disk(radius[, dtype]) | Generates a flat, disk-shaped structuring element of a given radius. |
| skimage.morphology.erosion(image, selem[, ...]) | Return greyscale morphological erosion of an image. |
| skimage.morphology.greyscale_black_top_hat(...) | |
| skimage.morphology.greyscale_close(*args, ...) | |
| skimage.morphology.greyscale_dilate(*args, ...) | |
| skimage.morphology.greyscale_erode(*args, ...) | |
| skimage.morphology.greyscale_open(*args, ...) | |
| skimage.morphology.greyscale_white_top_hat(...) | |
| skimage.morphology.label | Label connected regions of an integer array. |
| skimage.morphology.medial_axis(image[, ...]) | Compute the medial axis transform of a binary image |
| skimage.morphology.octagon(m, n[, dtype]) | Generates an octagon shaped structuring element with a given size of horizontal and vertical sides and a given height or width of slanted sides. |
| skimage.morphology.octahedron(radius[, dtype]) | Generates a octahedron-shaped structuring element of a given radius |
| skimage.morphology.opening(image, selem[, out]) | Return greyscale morphological opening of an image. |
| skimage.morphology.reconstruction(seed, mask) | Perform a morphological reconstruction of an image. |
| skimage.morphology.rectangle(width, height) | Generates a flat, rectangular-shaped structuring element of a given width and height. |
| skimage.morphology.remove_small_objects(ar) | Remove connected components smaller than the specified size. |
| skimage.morphology.skeletonize(image) | Return the skeleton of a binary image. |
| skimage.morphology.square(width[, dtype]) | Generates a flat, square-shaped structuring element. |
| skimage.morphology.star(a[, dtype]) | Generates a star shaped structuring element that has 8 vertices and is an overlap of square of size 2*a + 1 with its 45 degree rotated version. |
| skimage.morphology.watershed(image, markers) | Return a matrix labeled using the watershed segmentation algorithm |
| skimage.morphology.white_tophat(image, selem) | Return white top hat of an image. |
Generates a ball-shaped structuring element of a given radius (the 3D equivalent of a disk). A pixel is within the neighborhood if the euclidean distance between it and the origin is no greater than radius.
| Parameters : | radius : int
|
|---|---|
| Returns : | selem : ndarray
|
Return fast binary morphological closing of an image.
This function returns the same result as greyscale closing but performs faster for binary images.
The morphological closing on an image is defined as a dilation followed by an erosion. Closing can remove small dark spots (i.e. “pepper”) and connect small bright cracks. This tends to “close” up (dark) gaps between (bright) features.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray of bool
|
|---|---|
| Returns : | closing : ndarray of bool
|
Return fast binary morphological dilation of an image.
This function returns the same result as greyscale dilation but performs faster for binary images.
Morphological dilation sets a pixel at (i,j) to the maximum over all pixels in the neighborhood centered at (i,j). Dilation enlarges bright regions and shrinks dark regions.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray of bool
|
|---|---|
| Returns : | dilated : ndarray of bool or uint
|
Return fast binary morphological erosion of an image.
This function returns the same result as greyscale erosion but performs faster for binary images.
Morphological erosion sets a pixel at (i,j) to the minimum over all pixels in the neighborhood centered at (i,j). Erosion shrinks bright regions and enlarges dark regions.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray of bool
|
|---|---|
| Returns : | eroded : ndarray of bool or uint
|
Return fast binary morphological opening of an image.
This function returns the same result as greyscale opening but performs faster for binary images.
The morphological opening on an image is defined as an erosion followed by a dilation. Opening can remove small bright spots (i.e. “salt”) and connect small dark cracks. This tends to “open” up (dark) gaps between (bright) features.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray of bool
|
|---|---|
| Returns : | opening : ndarray of bool
|
Return black top hat of an image.
The black top hat of an image is defined as its morphological closing minus the original image. This operation returns the dark spots of the image that are smaller than the structuring element. Note that dark spots in the original image are bright spots after the black top hat.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray
|
|---|---|
| Returns : | opening : uint8 array
|
Examples
>>> # Change dark peak to bright peak and subtract background
>>> import numpy as np
>>> from skimage.morphology import square
>>> dark_on_grey = np.array([[7, 6, 6, 6, 7],
... [6, 5, 4, 5, 6],
... [6, 4, 0, 4, 6],
... [6, 5, 4, 5, 6],
... [7, 6, 6, 6, 7]], dtype=np.uint8)
>>> black_tophat(dark_on_grey, square(3))
array([[0, 0, 0, 0, 0],
[0, 0, 1, 0, 0],
[0, 1, 5, 1, 0],
[0, 0, 1, 0, 0],
[0, 0, 0, 0, 0]], dtype=uint8)
Return greyscale morphological closing of an image.
The morphological closing on an image is defined as a dilation followed by an erosion. Closing can remove small dark spots (i.e. “pepper”) and connect small bright cracks. This tends to “close” up (dark) gaps between (bright) features.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray
|
|---|---|
| Returns : | closing : uint8 array
|
Examples
>>> # Close a gap between two bright lines
>>> import numpy as np
>>> from skimage.morphology import square
>>> broken_line = np.array([[0, 0, 0, 0, 0],
... [0, 0, 0, 0, 0],
... [1, 1, 0, 1, 1],
... [0, 0, 0, 0, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> closing(broken_line, square(3))
array([[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[1, 1, 1, 1, 1],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]], dtype=uint8)
Compute the convex hull image of a binary image.
The convex hull is the set of pixels included in the smallest convex polygon that surround all white pixels in the input image.
| Parameters : | image : ndarray
|
|---|---|
| Returns : | hull : ndarray of bool
|
References
| [R210] | http://blogs.mathworks.com/steve/2011/10/04/binary-image-convex-hull-algorithm-notes/ |
Compute the convex hull image of individual objects in a binary image.
The convex hull is the set of pixels included in the smallest convex polygon that surround all white pixels in the input image.
| Parameters : | image : ndarray
neighbors : {4, 8}, int
|
|---|---|
| Returns : | hull : ndarray of bool
|
Generates a cube-shaped structuring element (the 3D equivalent of a square). Every pixel along the perimeter has a chessboard distance no greater than radius (radius=floor(width/2)) pixels.
| Parameters : | width : int
|
|---|---|
| Returns : | selem : ndarray
|
Generates a flat, diamond-shaped structuring element of a given radius. A pixel is part of the neighborhood (i.e. labeled 1) if the city block/manhattan distance between it and the center of the neighborhood is no greater than radius.
| Parameters : | radius : int
|
|---|---|
| Returns : | selem : ndarray
|
Return greyscale morphological dilation of an image.
Morphological dilation sets a pixel at (i,j) to the maximum over all pixels in the neighborhood centered at (i,j). Dilation enlarges bright regions and shrinks dark regions.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray
shift_x, shift_y : bool
|
|---|---|
| Returns : | dilated : uint8 array
|
Examples
>>> # Dilation enlarges bright regions
>>> import numpy as np
>>> from skimage.morphology import square
>>> bright_pixel = np.array([[0, 0, 0, 0, 0],
... [0, 0, 0, 0, 0],
... [0, 0, 1, 0, 0],
... [0, 0, 0, 0, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> dilation(bright_pixel, square(3))
array([[0, 0, 0, 0, 0],
[0, 1, 1, 1, 0],
[0, 1, 1, 1, 0],
[0, 1, 1, 1, 0],
[0, 0, 0, 0, 0]], dtype=uint8)
Generates a flat, disk-shaped structuring element of a given radius. A pixel is within the neighborhood if the euclidean distance between it and the origin is no greater than radius.
| Parameters : | radius : int
|
|---|---|
| Returns : | selem : ndarray
|
Return greyscale morphological erosion of an image.
Morphological erosion sets a pixel at (i,j) to the minimum over all pixels in the neighborhood centered at (i,j). Erosion shrinks bright regions and enlarges dark regions.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray
shift_x, shift_y : bool
|
|---|---|
| Returns : | eroded : uint8 array
|
Examples
>>> # Erosion shrinks bright regions
>>> import numpy as np
>>> from skimage.morphology import square
>>> bright_square = np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> erosion(bright_square, square(3))
array([[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 1, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]], dtype=uint8)
Label connected regions of an integer array.
Two pixels are connected when they are neighbors and have the same value. They can be neighbors either in a 4- or 8-connected sense:
4-connectivity 8-connectivity
[ ] [ ] [ ] [ ]
| \ | /
[ ]--[ ]--[ ] [ ]--[ ]--[ ]
| / | \
[ ] [ ] [ ] [ ]
| Parameters : | input : ndarray of dtype int
neighbors : {4, 8}, int
background : int
|
|---|---|
| Returns : | labels : ndarray of dtype int
num : int, optional
|
Examples
>>> x = np.eye(3).astype(int)
>>> print(x)
[[1 0 0]
[0 1 0]
[0 0 1]]
>>> print(m.label(x, neighbors=4))
[[0 1 1]
[2 3 1]
[2 2 4]]
>>> print(m.label(x, neighbors=8))
[[0 1 1]
[1 0 1]
[1 1 0]]
>>> x = np.array([[1, 0, 0],
... [1, 1, 5],
... [0, 0, 0]])
>>> print(m.label(x, background=0))
[[ 0 -1 -1]
[ 0 0 1]
[-1 -1 -1]]
Compute the medial axis transform of a binary image
| Parameters : | image : binary ndarray mask : binary ndarray, optional
return_distance : bool, optional
|
|---|---|
| Returns : | out : ndarray of bools
dist : ndarray of ints
|
See also
Notes
This algorithm computes the medial axis transform of an image as the ridges of its distance transform.
Examples
>>> from skimage import morphology
>>> square = np.zeros((7, 7), dtype=np.uint8)
>>> square[1:-1, 2:-2] = 1
>>> square
array([[0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0]], dtype=uint8)
>>> morphology.medial_axis(square).astype(np.uint8)
array([[0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 1, 0, 0],
[0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0],
[0, 0, 1, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0]], dtype=uint8)
Generates an octagon shaped structuring element with a given size of horizontal and vertical sides and a given height or width of slanted sides. The slanted sides are 45 or 135 degrees to the horizontal axis and hence the widths and heights are equal.
| Parameters : | m : int
n : int
|
|---|---|
| Returns : | selem : ndarray
|
Generates a octahedron-shaped structuring element of a given radius (the 3D equivalent of a diamond). A pixel is part of the neighborhood (i.e. labeled 1) if the city block/manhattan distance between it and the center of the neighborhood is no greater than radius.
| Parameters : | radius : int
|
|---|---|
| Returns : | selem : ndarray
|
Return greyscale morphological opening of an image.
The morphological opening on an image is defined as an erosion followed by a dilation. Opening can remove small bright spots (i.e. “salt”) and connect small dark cracks. This tends to “open” up (dark) gaps between (bright) features.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray
|
|---|---|
| Returns : | opening : uint8 array
|
Examples
>>> # Open up gap between two bright regions (but also shrink regions)
>>> import numpy as np
>>> from skimage.morphology import square
>>> bad_connection = np.array([[1, 0, 0, 0, 1],
... [1, 1, 0, 1, 1],
... [1, 1, 1, 1, 1],
... [1, 1, 0, 1, 1],
... [1, 0, 0, 0, 1]], dtype=np.uint8)
>>> opening(bad_connection, square(3))
array([[0, 0, 0, 0, 0],
[1, 1, 0, 1, 1],
[1, 1, 0, 1, 1],
[1, 1, 0, 1, 1],
[0, 0, 0, 0, 0]], dtype=uint8)
Perform a morphological reconstruction of an image.
Morphological reconstruction by dilation is similar to basic morphological dilation: high-intensity values will replace nearby low-intensity values. The basic dilation operator, however, uses a structuring element to determine how far a value in the input image can spread. In contrast, reconstruction uses two images: a “seed” image, which specifies the values that spread, and a “mask” image, which gives the maximum allowed value at each pixel. The mask image, like the structuring element, limits the spread of high-intensity values. Reconstruction by erosion is simply the inverse: low-intensity values spread from the seed image and are limited by the mask image, which represents the minimum allowed value.
Alternatively, you can think of reconstruction as a way to isolate the connected regions of an image. For dilation, reconstruction connects regions marked by local maxima in the seed image: neighboring pixels less-than-or-equal-to those seeds are connected to the seeded region. Local maxima with values larger than the seed image will get truncated to the seed value.
| Parameters : | seed : ndarray
mask : ndarray
method : {‘dilation’|’erosion’}
selem : ndarray
|
|---|---|
| Returns : | reconstructed : ndarray
|
Notes
The algorithm is taken from [R211]. Applications for greyscale reconstruction are discussed in [R212] and [R213].
References
| [R211] | (1, 2) Robinson, “Efficient morphological reconstruction: a downhill filter”, Pattern Recognition Letters 25 (2004) 1759-1767. |
| [R212] | (1, 2) Vincent, L., “Morphological Grayscale Reconstruction in Image Analysis: Applications and Efficient Algorithms”, IEEE Transactions on Image Processing (1993) |
| [R213] | (1, 2) Soille, P., “Morphological Image Analysis: Principles and Applications”, Chapter 6, 2nd edition (2003), ISBN<PHONE_NUMBER>. |
Examples
>>> import numpy as np
>>> from skimage.morphology import reconstruction
First, we create a sinusoidal mask image with peaks at middle and ends.
>>> x = np.linspace(0, 4 * np.pi)
>>> y_mask = np.cos(x)
Then, we create a seed image initialized to the minimum mask value (for reconstruction by dilation, min-intensity values don’t spread) and add “seeds” to the left and right peak, but at a fraction of peak value (1).
>>> y_seed = y_mask.min() * np.ones_like(x)
>>> y_seed[0] = 0.5
>>> y_seed[-1] = 0
>>> y_rec = reconstruction(y_seed, y_mask)
The reconstructed image (or curve, in this case) is exactly the same as the mask image, except that the peaks are truncated to 0.5 and 0. The middle peak disappears completely: Since there were no seed values in this peak region, its reconstructed value is truncated to the surrounding value (-1).
As a more practical example, we try to extract the bright features of an image by subtracting a background image created by reconstruction.
>>> y, x = np.mgrid[:20:0.5, :20:0.5]
>>> bumps = np.sin(x) + np.sin(y)
To create the background image, set the mask image to the original image, and the seed image to the original image with an intensity offset, h.
>>> h = 0.3
>>> seed = bumps - h
>>> background = reconstruction(seed, bumps)
The resulting reconstructed image looks exactly like the original image, but with the peaks of the bumps cut off. Subtracting this reconstructed image from the original image leaves just the peaks of the bumps
>>> hdome = bumps - background
This operation is known as the h-dome of the image and leaves features of height h in the subtracted image.
Generates a flat, rectangular-shaped structuring element of a given width and height. Every pixel in the rectangle belongs to the neighboorhood.
| Parameters : | width : int
height : int
|
|---|---|
| Returns : | selem : ndarray
|
Remove connected components smaller than the specified size.
| Parameters : | ar : ndarray (arbitrary shape, int or bool type)
min_size : int, optional (default: 64)
connectivity : int, {1, 2, ..., ar.ndim}, optional (default: 1)
in_place : bool, optional (default: False)
|
|---|---|
| Returns : | out : ndarray, same shape and type as input ar
|
| Raises : | TypeError :
ValueError :
|
Examples
>>> from skimage import morphology
>>> a = np.array([[0, 0, 0, 1, 0],
... [1, 1, 1, 0, 0],
... [1, 1, 1, 0, 1]], bool)
>>> b = morphology.remove_small_connected_components(a, 6)
>>> b
array([[False, False, False, False, False],
[ True, True, True, False, False],
[ True, True, True, False, False]], dtype=bool)
>>> c = morphology.remove_small_connected_components(a, 7, connectivity=2)
>>> c
array([[False, False, False, True, False],
[ True, True, True, False, False],
[ True, True, True, False, False]], dtype=bool)
>>> d = morphology.remove_small_connected_components(a, 6, in_place=True)
>>> d is a
True
Return the skeleton of a binary image.
Thinning is used to reduce each connected component in a binary image to a single-pixel wide skeleton.
| Parameters : | image : numpy.ndarray
|
|---|---|
| Returns : | skeleton : ndarray
|
See also
Notes
The algorithm [1] works by making successive passes of the image, removing pixels on object borders. This continues until no more pixels can be removed. The image is correlated with a mask that assigns each pixel a number in the range [0...255] corresponding to each possible pattern of its 8 neighbouring pixels. A look up table is then used to assign the pixels a value of 0, 1, 2 or 3, which are selectively removed during the iterations.
Note that this algorithm will give different results than a medial axis transform, which is also often referred to as “skeletonization”.
References
| [R214] | A fast parallel algorithm for thinning digital patterns, T. Y. ZHANG and C. Y. SUEN, Communications of the ACM, March 1984, Volume 27, Number 3 |
Examples
>>> X, Y = np.ogrid[0:9, 0:9]
>>> ellipse = (1./3 * (X - 4)**2 + (Y - 4)**2 < 3**2).astype(np.uint8)
>>> ellipse
array([[0, 0, 0, 1, 1, 1, 0, 0, 0],
[0, 0, 1, 1, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 1, 1, 0, 0],
[0, 0, 1, 1, 1, 1, 1, 0, 0],
[0, 0, 0, 1, 1, 1, 0, 0, 0]], dtype=uint8)
>>> skel = skeletonize(ellipse)
>>> skel
array([[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=uint8)
Generates a flat, square-shaped structuring element. Every pixel along the perimeter has a chessboard distance no greater than radius (radius=floor(width/2)) pixels.
| Parameters : | width : int
|
|---|---|
| Returns : | selem : ndarray
|
Generates a star shaped structuring element that has 8 vertices and is an overlap of square of size 2*a + 1 with its 45 degree rotated version. The slanted sides are 45 or 135 degrees to the horizontal axis.
| Parameters : | a : int
|
|---|---|
| Returns : | selem : ndarray
|
Return a matrix labeled using the watershed segmentation algorithm
| Parameters : | image: ndarray (2-D, 3-D, ...) of integers :
markers: ndarray of the same shape as `image` :
connectivity: ndarray, optional :
offset: array_like of shape image.ndim, optional :
mask: ndarray of bools or 0s and 1s, optional :
|
|---|---|
| Returns : | out: ndarray :
|
See also
Notes
This function implements a watershed algorithm [R215]_that apportions pixels into marked basins. The algorithm uses a priority queue to hold the pixels with the metric for the priority queue being pixel value, then the time of entry into the queue - this settles ties in favor of the closest marker.
Some ideas taken from Soille, “Automated Basin Delineation from Digital Elevation Models Using Mathematical Morphology”, Signal Processing 20 (1990) 171-182
The most important insight in the paper is that entry time onto the queue solves two problems: a pixel should be assigned to the neighbor with the largest gradient or, if there is no gradient, pixels on a plateau should be split between markers on opposite sides.
This implementation converts all arguments to specific, lowest common denominator types, then passes these to a C algorithm.
Markers can be determined manually, or automatically using for example the local minima of the gradient of the image, or the local maxima of the distance function to the background for separating overlapping objects (see example).
References
| [R215] | http://en.wikipedia.org/wiki/Watershed_%28image_processing%29 |
| [R216] | http://cmm.ensmp.fr/~beucher/wtshed.html |
Examples
The watershed algorithm is very useful to separate overlapping objects
>>> # Generate an initial image with two overlapping circles
>>> x, y = np.indices((80, 80))
>>> x1, y1, x2, y2 = 28, 28, 44, 52
>>> r1, r2 = 16, 20
>>> mask_circle1 = (x - x1)**2 + (y - y1)**2 < r1**2
>>> mask_circle2 = (x - x2)**2 + (y - y2)**2 < r2**2
>>> image = np.logical_or(mask_circle1, mask_circle2)
>>> # Now we want to separate the two objects in image
>>> # Generate the markers as local maxima of the distance
>>> # to the background
>>> from scipy import ndimage
>>> distance = ndimage.distance_transform_edt(image)
>>> from skimage.feature import peak_local_max
>>> local_maxi = peak_local_max(distance, labels=image,
... footprint=np.ones((3, 3)))
>>> markers = ndimage.label(local_maxi)[0]
>>> labels = watershed(-distance, markers, mask=image)
The algorithm works also for 3-D images, and can be used for example to separate overlapping spheres.
Return white top hat of an image.
The white top hat of an image is defined as the image minus its morphological opening. This operation returns the bright spots of the image that are smaller than the structuring element.
| Parameters : | image : ndarray
selem : ndarray
out : ndarray
|
|---|---|
| Returns : | opening : uint8 array
|
Examples
>>> # Subtract grey background from bright peak
>>> import numpy as np
>>> from skimage.morphology import square
>>> bright_on_grey = np.array([[2, 3, 3, 3, 2],
... [3, 4, 5, 4, 3],
... [3, 5, 9, 5, 3],
... [3, 4, 5, 4, 3],
... [2, 3, 3, 3, 2]], dtype=np.uint8)
>>> white_tophat(bright_on_grey, square(3))
array([[0, 0, 0, 0, 0],
[0, 0, 1, 0, 0],
[0, 1, 5, 1, 0],
[0, 0, 1, 0, 0],
[0, 0, 0, 0, 0]], dtype=uint8)


--- title: "The solution for Google searching in mainland China" date: 2014-12-06T00:00:00 lastmod: 2014-12-06T00:00:00 draft: false # Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`. authors: - Ming Su tags: - google scholar - research summary: "The solution for Google searching in mainland China" ---
I have recently found a good solution for searching with google.
It is not based on vpn nor host file.
Just simply use
for google main sites
and use
for google scholar,
and so on.
Good luck!


RR Team Ladder from 19/12/2020 to 19/12/2020 |
| Rank |
Team |
Points |
Score Ratio |
Games |
| 1 |
ENIGMA |
52 |
128.8% |
9 |
| 2 |
Cholo$ |
42 |
116.4% |
9 |
| 3 |
Bendibox |
40 |
105.3% |
9 |
| 4 |
NSW Renegades |
38 |
104.5% |
9 |
| 5 |
Syd Sabers |
34 |
100.6% |
9 |
| 6 |
The Lost Legion |
24 |
71.8% |
9 |
| 7 |
Keter Class |
22 |
72.6% |
9 |
RR Teams vs Teams from 19/12/2020 to 19/12/2020 |
| Team |
ENIGMA |
Cholo$ |
Bendibox |
NSW Renegades |
Syd Sabers |
The Lost Legion |
Keter Class |
| ENIGMA |
|
3/4 |
3/3 |
3/3 |
2/2 |
3/3 |
3/3 |
| Cholo$ |
1/4 |
|
1/3 |
3/3 |
2/3 |
2/2 |
3/3 |
| Bendibox |
0/3 |
2/3 |
|
0/2 |
3/3 |
3/4 |
3/3 |
| NSW Renegades |
0/3 |
0/3 |
2/2 |
|
2/4 |
3/3 |
3/3 |
| Syd Sabers |
0/2 |
1/3 |
0/3 |
2/4 |
|
3/3 |
2/3 |
| The Lost Legion |
0/3 |
0/2 |
1/4 |
0/3 |
0/3 |
|
2/3 |
| Keter Class |
0/3 |
0/3 |
0/3 |
0/3 |
1/3 |
1/3 |
|
Teams vs Teams shows how each team performs against each other team. For example, to see how ENIGMA did against Cholo$, read across the first row to the second column. This score, 3/4, is the number of times ENIGMA scored higher than Cholo$, compared to the total number of times they played each other.
RR Solo Ladder from 19/12/2020 to 19/12/2020 |
| Rank |
Player |
Team |
Average Score |
Average Rank |
Score Ratio |
Games |
| 1 |
SPYDER |
Syd Sabers |
12921 |
1.2 |
222% |
9 |
| 2 |
Packing |
ENIGMA |
11178 |
2.0 |
176% |
9 |
| 3 |
KingTim |
Cholo$ |
9567 |
4.2 |
155% |
9 |
| 4 |
Fitzy |
Bendibox |
10524 |
4.6 |
146% |
9 |
| 5 |
DarkPass |
NSW Renegades |
8795 |
4.4 |
144% |
9 |
| 6 |
Dusty51 |
Cholo$ |
8892 |
4.4 |
132% |
9 |
| 7 |
Camsta |
ENIGMA |
8570 |
4.8 |
130% |
9 |
| 8 |
Vexim |
ENIGMA |
8274 |
5.3 |
129% |
9 |
| 9 |
Cellery |
Bendibox |
9308 |
5.8 |
121% |
9 |
| 10 |
Whippet |
ENIGMA, The Lost Legion |
8258 |
5.3 |
119% |
10 |
| 11 |
Firebird |
NSW Renegades |
7070 |
6.2 |
116% |
9 |
| 12 |
Mus |
Bendibox |
8015 |
8.4 |
109% |
9 |
| 13 |
vAirr |
Cholo$ |
6852 |
6.6 |
106% |
9 |
| 14 |
Invictus |
ENIGMA |
6268 |
7.9 |
94% |
9 |
| 15 |
Peregrin |
NSW Renegades |
5918 |
8.1 |
94% |
9 |
| 16 |
Corrupt |
Keter Class |
6746 |
8.9 |
94% |
9 |
| 17 |
Wildcard |
Syd Sabers |
5743 |
8.0 |
93% |
9 |
| 18 |
M2Skyros |
Keter Class |
6735 |
8.2 |
93% |
9 |
| 19 |
ZoneCub |
Cholo$ |
6321 |
8.6 |
93% |
9 |
| 20 |
El Paco |
Cholo$ |
6101 |
8.8 |
89% |
9 |
| 21 |
BROCKER |
The Lost Legion |
6084 |
8.4 |
88% |
9 |
| 22 |
Strik3r |
NSW Renegades |
5545 |
8.9 |
87% |
9 |
| 23 |
Fizz |
The Lost Legion |
6156 |
9.4 |
87% |
9 |
| 24 |
dptdumb |
The Lost Legion |
5533 |
9.1 |
83% |
8 |
| 25 |
Gryffo |
NSW Renegades |
5151 |
9.1 |
83% |
9 |
| 26 |
ItsLewis |
Bendibox |
6227 |
9.8 |
82% |
9 |
| 27 |
Browny |
Keter Class |
5942 |
9.9 |
79% |
9 |
| 28 |
Dart |
Syd Sabers |
4375 |
10.8 |
69% |
9 |
| 29 |
Reign |
Keter Class |
5054 |
11.4 |
64% |
9 |
| 30 |
Messiah |
Syd Sabers |
3821 |
11.3 |
61% |
9 |
| 31 |
Breltron |
Bendibox |
4823 |
11.9 |
61% |
9 |
| 32 |
Polcrome |
Syd Sabers |
3693 |
11.6 |
59% |
9 |
| 33 |
Bigfish |
The Lost Legion |
3954 |
11.7 |
52% |
9 |
| 34 |
Whatzee |
The Lost Legion |
3203 |
12.9 |
44% |
9 |
| 35 |
Dizzy |
Keter Class |
2652 |
14.3 |
36% |
9 |
This report ranks individual players. Tag Ratio is the number of people you shot divided by the number of people that shot you. Score ratio is your score in each game divided by the average score for that game. TR x SR is tag ratio multiplied by score ratio. The report has been limited to games from 19/12/2020 to 19/12/2020. Players are ranked on their average score ratio.
RR Games for 19/12/2020 |
| Game |
Team |
Score |
Pts |
Team |
Score |
Pts |
Team |
Score |
Pts |
| 5:08 PM |
Cholo$ |
51499 |
6 |
The Lost Legion |
40758 |
4 |
Bendibox |
30377 |
2 |
| 5:25 PM |
ENIGMA |
35565 |
6 |
NSW Renegades |
32946 |
4 |
Keter Class |
13832 |
2 |
| 5:41 PM |
ENIGMA |
41558 |
6 |
Syd Sabers |
38738 |
4 |
The Lost Legion |
25304 |
2 |
| 5:57 PM |
Bendibox |
48720 |
6 |
Cholo$ |
46929 |
4 |
Keter Class |
31086 |
2 |
| 6:12 PM |
ENIGMA |
47329 |
6 |
NSW Renegades |
33535 |
4 |
Bendibox |
28685 |
2 |
| 6:28 PM |
Syd Sabers |
37776 |
6 |
The Lost Legion |
21682 |
4 |
Keter Class |
18303 |
2 |
| 6:43 PM |
Cholo$ |
54000 |
6 |
Syd Sabers |
34656 |
4 |
NSW Renegades |
33487 |
2 |
| 7:30 PM |
ENIGMA |
57660 |
6 |
Bendibox |
36207 |
4 |
The Lost Legion |
25325 |
2 |
| 7:46 PM |
ENIGMA |
35966 |
6 |
Cholo$ |
30785 |
4 |
Keter Class |
14611 |
2 |
| 8:05 PM |
NSW Renegades |
27183 |
6 |
Bendibox |
25305 |
4 |
Syd Sabers |
23322 |
2 |
| 8:22 PM |
NSW Renegades |
55400 |
6 |
Keter Class |
42778 |
4 |
The Lost Legion |
26905 |
2 |
| 8:37 PM |
Cholo$ |
25573 |
6 |
ENIGMA |
22863 |
4 |
Syd Sabers |
17322 |
2 |
| 8:54 PM |
Bendibox |
51860 |
6 |
Keter Class |
45930 |
4 |
Syd Sabers |
41339 |
2 |
| 9:09 PM |
Cholo$ |
36225 |
6 |
NSW Renegades |
24943 |
4 |
The Lost Legion |
16482 |
2 |
| 9:30 PM |
ENIGMA |
51249 |
6 |
Bendibox |
37648 |
4 |
Cholo$ |
36556 |
2 |
| 9:46 PM |
NSW Renegades |
34275 |
6 |
Syd Sabers |
32905 |
4 |
Keter Class |
23715 |
2 |
| 10:03 PM |
Bendibox |
46879 |
6 |
Syd Sabers |
20912 |
4 |
The Lost Legion |
12880 |
2 |
| 10:18 PM |
ENIGMA |
47528 |
6 |
Cholo$ |
42099 |
4 |
Keter Class |
15753 |
2 |
| 10:36 PM |
Syd Sabers |
28005 |
6 |
Cholo$ |
24023 |
4 |
NSW Renegades |
19533 |
2 |
| 10:51 PM |
Bendibox |
50410 |
6 |
The Lost Legion |
48730 |
4 |
Keter Class |
36147 |
2 |
| 11:07 PM |
ENIGMA |
38576 |
6 |
NSW Renegades |
31004 |
4 |
The Lost Legion |
11672 |
2 |
This is a list of games. Each row in the table is one game. Across each row, you see the teams that were in that game (with the team that placed first listed first, and so on), and the score for each team.


Hacked By
./
DMAR
~
Don't Give up
Greatness takes time
INSTA:
@X.4B
Copyright bY
|
|
2020
|
|
./DMAR HACKER
|
|
|
|
instagram
|
|


bluetoothctl
Manage Bluetooth devices from the command-line.
More information: home page
- Enter the `bluetoothctl` shell:
bluetoothctl
- List all known devices:
bluetoothctl devices
- Power the Bluetooth controller on or off:
bluetoothctl power on|off
- Pair with a device:
bluetoothctl pair mac_address
- Remove a device:
bluetoothctl remove mac_address
- Connect to a paired device:
bluetoothctl connect mac_address
- Disconnect from a paired device:
bluetoothctl disconnect mac_address
- Display help:
bluetoothctl help


Random Quote Generator
Only new quotes come to those that click the button below
- Karl Marx
Tweet quote
New Quote


--- title: Title keywords: fastai sidebar: home_sidebar ---
Anything you #export
gets written to your .py
- so you're free to use if __name__ == "__main__":
etc
It might be a problem that __name__ == "__main__"
when running in a notebook.
IN_NOTEBOOK
can tell us if we're running in a notebook or not:
so you could do something like:
from nbdev.export import notebook2script
notebook2script('72_if__name__.ipynb')
!python decision_tree/test/expif.py
import decision_tree.test.expif
So ... it should be possible to create scripts that can be run from the command line with nbdev but ... https://nbdev.fast.ai/tutorial/#Set-up-console-scripts could be much better.


This is similar to how an expanded Ming.le context app would be shown. Note: there is currently no way to close this once open due to iframe limitations.


| Last process started at: | {{timePretty counts.startProcessing}} |
| Last process action at: | {{timePretty counts.lastSave}} ({{timeAgo counts.lastSave}}) |
| Total processing time: | {{timeDiff counts.processingTime}} |
| Status: | Exists{{#if processed}}{{#if finished}}, processed.{{else}}, processing.{{/if}}{{/if}} |
| Generated | {{timePretty stat.mtime}} ({{timeAgo stat.mtime}}) |
| Finished | {{timePretty counts.lastUpsert}} ({{timeAgo counts.lastUpsert}}) |
| Finished | {{timePretty counts.bulkUpload.lastChecked}} ({{timeAgo counts.bulkUpload.lastChecked}}) |
| Processing duration | {{timeDiff processingTime}} |
| Total items in file | {{prettyNumber counts.xmlCount}} |
| Total items processes | {{prettyNumber counts.itemsUploaded}} |
| XML converted to JSON, upsert not started yet. | |
| Last upsert | {{timeAgo counts.lastUpsert}} |
| Total items in file | {{prettyNumber counts.xmlCount}} |
| Items processed |
{{prettyNumber counts.itemsUploaded}} of {{prettyNumber counts.totalItemsToUpload}}
{{prettyNumber counts.itemsUploaded}} of {{prettyNumber counts.totalItemsToUpload}}
|
| This file processed | Not yet |
| Previous processing duration | {{timeDiff processingTime}} |
| Previous file processed | {{timeAgo counts.lastUpsert}} |
| Total items to processes | {{prettyNumber counts.itemsUploaded}} |
| New items | {{prettyNumber counts.jsonCount.new}} |
| Modified items | {{prettyNumber counts.jsonCount.modified}} |
| Status: | New file is missing |
| Previous file processed | {{timeAgo counts.lastUpsert}} |
| Total items processes | {{prettyNumber counts.itemsUploaded}} |
| Previous file processing | Last item upserted {{timeAgo counts.lastUpsert}} |
| Total items processes | {{prettyNumber counts.itemsUploaded}} of {{prettyNumber counts.totalItemsToUpload}} |
| New items | {{prettyNumber counts.jsonCount.new}} |
| Modified items | {{prettyNumber counts.jsonCount.modified}} |
| Upserting has never been run. |


created on : 25/06/2021 15:05
Here healthy discussion in django and python is promoted in a polite language.
the Quill editor is quite different and independent.I would rank it at top of 3.
I found ckeditor better than tiny-mc editor. tiny-mce is smaller and compact but it provides lesser features than ckeditor.


--- layout: default title: ICNMS'16 - Scientific Committee ---
The Scientific Committee list is currently being updated. We appreciate your patience!
Scientific Committee Members:
Dr. Steffen Foss Hansen, Technical University of Denmark, Denmark
Dr. Jiang Jianwen, National University of Singapore, Singapore
Dr. Wing K. Liu, Northwestern University, USA
Dr. Risto Nieminen, Aalto Univeristy, Finland
Dr. Tomáš Šikola, Brno University of Technology, Czech Republic


WITNESS LIST
Coastal Barrier System
August 4, 2014 10:00 AM
Coastal Barrier Systems
FOR:
Bechtel, Michel (also providing written testimony) (City of Morgan's Point), Morgan's
Point, TX
Blackburn, Jim (also providing written testimony) (Rice University), Houston, TX
Boney, Brad (Self), Galveston, TX
Burke, Chad (Economic Alliance Houston Port Region), Deer Parke, TX
Meinecke, Gerhard (Self), Dickinson, TX
Mohn, Jerry (also providing written testimony) (West Galveston Island Property Owners
Assoc; Galveston City Beach Erosion Task Force; Parks Board Beach Maintenance
Advisory Committee), Galveston, TX
Robb, Marie (Self), Galveston, TX
Rosen, Fredell Pollak (Bay Area Coastal Protection Alliance (BACPA)), Galveston, TX
Royal, Glenn (City of Seabrook Mayor), Seabrook, TX
Sargent, Bill (also providing written testimony) (Self), Galveston, TX
Seal, Dan (Bay Area Houston Economic Partnership), Houston, TX
Williams, Melvin (also providing written testimony) (Galveston Island Park Board of
Trustees), Galveston, TX
AGAINST:
Broussard, William (Self), Galveston, TX
Johnson, Brian R. (Self), Galveston, TX
Machol, John (Self), Galveston, TX
Pickett, Ellis (also providing written testimony) (Self; Surfrider Foundation Texas Upper
Coast Chapter), Liberty, TX
ON:
Merrell, William (also providing written testimony) (Self), Galveston, TX
Pannell, Richard COL (also providing written testimony) (US Corps of Engineers),
Galveston, TX
Sellers, Katy (also providing written testimony) (GLO), Austin, TX
Waterworth, Leonard (also providing written testimony) (TAMUG), Houston, TX
Williams, Tony (also providing written testimony) (GLO), Austin, TX
Registering, but not testifying:
FOR:
Card, Fran (Self), Galveston, TX
Dennard, Ryan (Galveston County), Galveston, TX
Mancini Voll, Diane (Self), League City, TX
ON:
Henry, Mark (Gulf Coast Comm Protection & Recovery Dist), Galveston, TX
Providing written testimony:
ON:
Eckles, Robert (Gulf Coast Community Protection District), Spring, TX
Tromm, Jonathon (Self), Galveston, TX


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{% include "footer.html" %}


|
Sailing
('N Sync) |
|
Well
it's not far down to paradise
At least it's not for me And if the wind is right you can sail away And find tranquillity Oh the canvas can do miracles Just you wait and see Baby believe me, oh It's not far to Never-Never Land No reason to pretend And if the wind is right you can find the joy Of innocence again Oh the canvas can do miracles Just you wait and see Baby believe me, oh Sailing takes me away To where I've always heard it could be Just a dream in the wind to carry me Soon I will be free Fantasy It gets the best of me When I'm sailing, sailing All the world in a reverie Every word is a symphony Won't you believe me? Oh Sailing takes me away To where I've always heard it could be Just a dream in the wind to carry me Soon I will be free Its not far back to sanity At least it's not for me And if the wind is right you can sail away And find serenity The canvas can do miracles Just you wait and see Baby believe me Sailing takes me away To where I've always heard it could be Just a dream in the wind to carry me Soon I will be free |


| DOSE: |
1 hit |
oral |
DOI |
(blotter / tab) |
| |
0.5 hits |
oral |
DOI |
(blotter / tab) |
[Erowid Note: This report is marked as a DOI report, but readers should be aware there are aspects of it that suggest the identification is speculative.]
On the 4th of July this past summer my friends and I obtained 10 tabs of what we were told by our dealer and thought was LSD. all my friends but me did it that night and I sat for them. They all acted very strange for hours, I could go into detail about that night, but I am here to tell you about my experience.
I had never done LSD, or 2-Ci, and had never even heard of DOI, neither had any of my friends either, so we didnít have anyone who could compare their trips to LSD and state that we were not dealing with LSD, but with an unknown substance. About a week after my friends had all tripped I got home from work at about 4pm and took one tab, I was by myself and I called my friends to tell them that I was going to take a tab, and I would like to hang out with them if possible. None of them could though, so I got on my bike and started riding. I didn't have a destination, but it was a beautiful day and I live in Daytona Beach, so I decided to go to the beach. My mindset going into this was that I knew that I am very comfortable with myself mentally, and I knew that if things started getting crazy, I could just tell myself it would end and everything would be back to normal in a few hours. So I wasnít worried at all.
The first visual effects started showing up after about 45 mins to an hour, which I thought was very strange. I was on top of the bridge over the river and it looked like the river was flowing very swiftly like a stream below me. There was a huge boat going under the bridge and it looked to me like it was trying to fight the current and was having a hard time getting anywhere against such a force (I later concluded that it was actually just moving very slowly because of the engine, not the river).
Before I got to the beach, I stopped into a pharmacy and bought some tea, all the people in there were extremely strange looking to me, and all I could concentrate on was how ape like they all looked, and how different each person looks from one another, it was like different species of human. The Chinese woman in front of me in line was exceedingly strange looking to my altered brain. By this time I was starting to feel very strange physically, like I had a bunch of energy in my body that couldnít get out, but it felt very nice in my legs like smoking a lot of marijuana and getting that pleasant feeling, only without the grogginess of extreme highness and lots of energy.
Finally I got to the beach it was about 2 hours into my trip, I walked away from all the people and sat down on the sand feeling tremendously good, and looked out across the water and watched some pelicans and an osprey hunt fish. I was doing a lot of smiling however the visual effects were not very pronounced, which I thought was weird, because it had been over 2 hours. I was just getting a sort of wavy aura in my vision that rippled the sky, colors were very vibrant too.
I noticed a breeze was starting to pick up and I looked south, and much my chagrin I saw a giant thunderstorm coming my way, having no way of escaping it, I went through my options and decided that I would bury myself in sand and weather out the storm in a sand cocoon. Let me assure you that I have never before had any urge to do something like this, but it seemed like a good thing to do at the time.
Everyone else slowly left the beach and I dug out a cavity in the sand, I laid down and started to cover myself. At the same time I was comparing the coming thunderstorm with the actual start of my trip, for I hadnít really started tripping (things were most definitely different, nothing mindblowing though), but my friends had told me it had taken hours for their trips to really start, and they had lasted 24 hours, so I wasnít really worried that I wasnít going to really trip. I had lost all sense of time, and had stashed my stuff in some rocks so they wouldnít get wet when it rained, so I had no way of telling what time it actually was.
The wind started to pick up and the thunderheads got closer, and I realized that the pathetic amount of sand I had covered myself with was going to leave me very wet and cold by the end of this, my trip was also coming up and getting more intense by the minute too, and I compared my sand barrier to my mind and realized I was prepared for neither the height of my trip or the storm. I dug myself in deeper in the sand, and built up what felt like an actual brick wall in my head against the LSD, again I turned around and the thunderheads had gotten bigger, and I got that same sense of unpreparedness, I covered myself more and by the time the storm actually hit, I was the most prepared person ever.
The only thing exposed was my head, and the wind was hitting the back of it so I could keep my eyes open without getting sand in them. It poured, and there was lots of lightning, very intense, I was laying so that as the storm passed me, it would come into my vision. When lightning would strike, which it did often it would light up the sky and then I would get rainbow flashes directly afterwards, as if the lightning was lighting up the sky with the full spectrum of colors. At one point, I looked up and thought that if the clouds had opened up and a shining light had engulfed me, I would not have been surprised. Of course it didnít, and I was rather thankful, because that would have been exceedingly crazy.
After the height of the storm had passed, it was still raining, but pretty lightly, I got up and walked back and got my stuff. I was not cold in the least bit, and felt like maybe my internal body temperature had been raised slightly. I called my friend who was off of work, and he came and picked me up. It had been about 5 hours since I had taken the tab and I was feeling fine, the visual effects were getting much more pronounced, everything was waving, and water was flowing at what looked like astonishing speeds.
When my friend picked me up we listened to some music. It was either hit or miss, my mind hated some sounds and songs, but loved others. He had some marijuana, so we loaded a bowl of that and smoked it. I think that made me feel physically relaxed, and maybe made the visuals more pronounced. We talked about his trip and compared and contrasted it to mine. He had taken more than me, and his had been a lot more intense, and the come up had been much quicker for him. He took three tabs and was getting full visuals within 15 mins of taking it.
We thought of things to do, and he decided that we would go to this cave that he had found in high school walking along the river looking for places to smoke. I was intrigued by the fact that there was a cave, in Daytona beach, which most definitely has no caves. So we went there, it was behind an abandoned bowling alley along the riverís edge. The hurricanes that had hit here a few years ago had washed away the seawall and made a secluded cave that was turned out to be really interesting, compared to anything I was expecting.
We smoked and looked out across the water, downtown Daytona was on the other side, and it looked like the city was pulsing to my eyes, the water was completely calm and the night was beautiful. We left there, and stopped by my house, I got a fresh change of clothes, and took a shower.
THEN, I decided it might be a good idea to take another half tab, because even though my day had been crazy, I felt like, I hadnít really broken that barrier of what my friends had done the other night. So I did, I knew it was probably a bad decision, mostly because this was my first time doing ďLSDĒ and I should probably play it safe, but I didnít. I took another half tab. My friends drove me over to their house and we started watching Raging Bull. Watching a movie was awesome, my mind had been so all over the place all day that just having all my senses focused on the movie was really nice. I watched the movie from about five different perspectives it seemed like, very strange. I realized the movie was completely different about three quarters of the way through, confused the heck out of me for a little while, then I just accepted it as simply an interesting occurrence. Eventually my friends got tired and I decided to go home.
We got stopped by the police on the way back for not having the headlights on, I got pretty nervous until I found out my friend wasnít going to get a DUI (he had drank about 4 beers).
[Erowid Note: Driving while intoxicated or tripping is dangerous and irresponsible because it endangers other people. Don't do it!] I got home, and assured my friend I would be alright and he left.
The visuals at this point were very intense, and my mind would get lost in strange thoughts that would be triggered by memories and seeing things. Shadows moved about on their own for no apparent reason, and things like blinds seemed like they were opening and closing on their own. I went and laid down on my bed. I felt like there was zero chance I could go to sleep. When I tried I would start getting intense close eyed hallucinations. At points, I would open my eyes and realize in complete astonishment that I was the only one in the room. Voices and characters would manifest themselves in my mind. Everything was very strange.
 Some of the other songs that particularly amazed my mind, were Sweet Dreams are made of This (Annie Lennox), Everything in its right place (Radiohead), and the end of the song Yummy, by Gwen Stefani (It was on random). For the rest of the night I altered between, intense closed eyed hallucinations, listening to music, watching select scenes from X-Men 3 and just thinking about how crazy this all was. Eventually I think I fell into a dreamless sleep for about an hour out of what seemed like extreme mental and physical exhaustion.
The whole next day I felt really different, yet very pleased and generally great. Nothing was rippling or anything anymore. For the next 2 months the whole world felt extremely nice, and I couldnít have been happier, I have never felt like that before. My other friends that had taken it felt a lot different after their trips a couple said that they felt more separated from the world for a while. It was all very intense, and I felt like maybe the LSD we got was different somehow, more powerful than regular LSD.
I knew I would do it again after that night, just because I had felt so great at some points, and at very select times, I felt like I was getting giant waves of euphoria, triggered by a thought, realization, or music. That was another thing, it felt like I would get waves of visuals, sometimes, I would get psychedelic trails, then I would get wavy effects, then shadows would go crazy, then it would seem like I was looking through a screen or seeing two images of the world overlapping each other.
At this point, I still thought it was LSD, and went on to have other trips thinking it was LSD again.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


new Animation()
Animation() is an object that is a type of timed item that apply an animation effect to a target element.
It has the following interface:
new Animation(element, {effect}, {timing});
With the followng properties:
- new Animation:
- Creates a new animation object: animation
- Establish a temporary timing dictionary based on the following:
- If input timing is a TimingDictionary object:
- Let timing dictionary refer to timing.
- If input timing is a double:
- Create a new timing dictionary object with all properties set to default values and iterationDuration set to timing.
- If input timing is null/undefined object:
- Create a new timing dictionary object with all properties set to default values.
- Assign animation effects as follow:
- If effect is an AnimationEffect object or a CustomAnimationEffect object:
- Assign animation.effect to effect.
- If effect is null:
- Set animation.effect to null
- ***TODO: Require more reading:
- not finalise


{% include "tictactoe/games_list_snippet.html" with header="Games Waiting for Your Move" games_list=waiting_games %}
{% include "tictactoe/games_list_snippet.html" with header="Other Active Games" games_list=other_games %}
{% include "tictactoe/games_list_snippet.html" with header="Finished Games" games_list=finished_games %}


Fused implementation of map
and batch
. (deprecated)
tf.compat.v1.data.experimental.map_and_batch_with_legacy_function( map_func, batch_size, num_parallel_batches=None, drop_remainder=False, num_parallel_calls=None )
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use `tf.data.experimental.map_and_batch()
NOTE: This is an escape hatch for existing uses of map_and_batch
that do not
work with V2 functions. New uses are strongly discouraged and existing uses
should migrate to map_and_batch
as this method will not be removed in V2.
map_func
: A function mapping a nested structure of tensors to another
nested structure of tensors.batch_size
: A tf.int64
scalar tf.Tensor
, representing the number of
consecutive elements of this dataset to combine in a single batch.num_parallel_batches
: (Optional.) A tf.int64
scalar tf.Tensor
,
representing the number of batches to create in parallel. On one hand,
higher values can help mitigate the effect of stragglers. On the other
hand, higher values can increase contention if CPU is scarce.drop_remainder
: (Optional.) A tf.bool
scalar tf.Tensor
, representing
whether the last batch should be dropped in case its size is smaller than
desired; the default behavior is not to drop the smaller batch.num_parallel_calls
: (Optional.) A tf.int32
scalar tf.Tensor
,
representing the number of elements to process in parallel. If not
specified, batch_size * num_parallel_batches
elements will be processed
in parallel. If the value tf.data.experimental.AUTOTUNE
is used, then
the number of parallel calls is set dynamically based on available CPU.A Dataset
transformation function, which can be passed to
tf.data.Dataset.apply
.
ValueError
: If both num_parallel_batches
and num_parallel_calls
are
specified.


---
layout: post
date: 2012-05-29
time: "09:00:00"
authors: ["Greg Wilson"]
title: How to Run a Bootcamp
tags: ["Bootcamps"]
---
With so many people setting up and running Software Carpentry workshops, I thought it was time to put together a more complete how-to. If I've forgotten anything, please let me know. (Later: please also see this PLoS paper"Ten Simple Rules for Developing a Short Bioinformatics Training Course".)
Assumptions
- bootcamp is 2-3 days long
- For 20-50 learners...
- ...who are typically grad students in science and engineering
- There is 10:1 ratio of helpers to learners (or better)
Goals
- Learners leave with a basic set of skills...
- ...and a big-picture view of how to apply them
- A handful of learners/helpers are ready to run workshops on their own
- We have feedback on how to improve content/format
Venue
- Prefer flat seating to banked seating (makes it easier for helpers to reach people)
- Power, network, and air conditioning
- 40 people plus laptops generate a lot of heat
- Prefer places where people can drink coffee/eat snacks while they're working
- Note: make sure venue is accessible to people with disabilities
Dates
- Weekends, weekdays, and splits have all worked (adjust to local needs)
- Start of term works better at universities than end of term
- Start of second/subsequent term works better for grad students than start of first term
- Too many other things going on at the start of a new academic year
- By second term, people know whether they need this or not
- Mid-term breaks (reading weeks) have not worked well: very high no-show rate
- Can also schedule bootcamps right before/right after major conferences
- Usually means extra accommodation expenses for participants...
- ...but can be easier to teach when all learners are from the same community
Times
- We typically run 9:00-4:30, but this will vary to meet local needs
- Note: remember to take childcare needs into account
Instructors and Helpers
- Recruit instructors beforeannouncing event
- Recruit helpers locally
- Typically grad students who already know this stuff...
- ...who might be thinking about becoming instructors themselves
- Remember:one person can't talk eight hours straight for two or three days
Registration
- Your institution/venue may insist you use their system
- Otherwise, we use EventBrite
- We're happy to host registration (just ask us for access)
- Make sure to allow a waiting list
- Note: usually best notto charge even a nominal amount for registration
- As soon as any money is changing hands, academic institutions will often charge for space
Advertising
- Create a page with bootcamp details
- Usually separate from the registration page (to give more control over content and style)
- We're happy to host this...
- ...or to link to your page if you'd rather host it yourself
- Tweet and blog about the event
- Send mail to departmental mailing lists, disciplinary mailing lists, and specific specific people (e.g., lab directors)
- Note: remember to include links to the advertising page and the registration page!
- Note:notify participants if the event is being broadcast or recorded
- A signed photo release will be required from each participant if pictures are being taken
Catering
- Decide whether to provide coffee/snacks at breaks and/or lunch
- Typically budget $5 per person per snack, $12-15 per person for lunch...
- ...which adds up quickly
- Note:remember to take dietary restrictions into account
- Vegetarian/kosher/halal
- Nut/dairy allergies
The Week Before
- Request confirmation from participants
- Notify people on the wait list if they're going to be able to attend
- May invite 10 or so people from wait list to show up
- If there are still empty seats at mid-morning on the first day, they're welcome to stay
- If not, they're welcome to come back for the next one
- Note: make this clear to wait listed people you invite before they come
- Send software/network setup instructions
- Include instructions on how to check that things have installed properly
- Include a contact address for people who are having trouble
- Send pre-workshop questionnaire (if any)
The Day Before
- Are the building and room going to be unlocked on the day of the event?
- Do you know where the washrooms are?
- Is there any noisy construction/cleaning going on?
- Is the projector working? Do you have a spare bulb?
- Is the network working?
- Do you have enough power cords?
- Do you have a contact number for maintenance/tech support?
- Have you double-checked with catering (if you're having snacks/lunch brought in)?
- Have you emailed a reminder to participants?
- Have you set up any accounts/web sites/repositories you will need?
- Do you have sticky notes in two different colors to hand out?
- Use these instead of clickers to answer yes/no questions, signal need for help/completion of exercises, etc.
On The Day
- Give people a few minutes to plug in, get on the network, etc.
- Put network connection instructions on handouts, on the projected screen, etc.
- Tell people what Twitter hash tag you're using (if any)
- Circulate the attendance sheet/photo release form
- Hand out multi-colored sticky notes
Follow-up
- Collect attendance sheet/photo release forms
- Create mailing list for contacting participants after the event
- Send post-workshop questionnaire (if any)
- Wrote blog post summarizing event


About Us
Meet the cooks who made this happen!
Click on any of our beautiful faces to learn more about our developer journeys
Jessica Lam
Team Lead
Chris Barba
UI Developer
Trey Roberts
UI Developer
Wesley White
UI Developer
Sean Cannon
React I Developer
Joe Panetta
React I Developer
Vee Patel
React II Developer
Nestor Cervantes
Back-end Developer


int AFdReadData(AFILE *AFp, long int offs, double Dbuff[], int Nreq)
Read data from an audio file (return double values)
This routine returns a specified number of samples at a given sample offset in an audio file. The data in the file is converted to double format on output. The sample data in the file is considered to be preceded and followed by zero-valued samples. Thus if the sample offset is negative or points to beyond the number of samples in the file, the appropriate number of zero-valued samples is returned. The file must have been opened using routine AFopnRead.
The following program fragment illustrates the use of this routine to read overlapping blocks of data. For the simpler case of sequential access to the data without overlap, the variable Lmem should be set to zero.
double Dbuff[320]; ... AFp = AFopnRead(...); ... Lmem = 80; Lblock = 320; Nadv = Lblock - Lmem; offs = -Lmem; while (1) { Nout = AFdReadData(AFp, offs, Dbuff, Lblock); offs = offs + Nadv; if (Nout <= 0) break; ... }
On encountering an error, the default behaviour is to print an error message and halt execution.
P. Kabal / Revision 1.15 2020-11-26


This data is transcribed speech data, in Amharic and Swahili and Wolof.
This repository is a result of the ALFFA project http://alffa.imag.fr
A summary of these resources and ASR performances, as well as a description of the ALFFA project has been published in the following paper:
Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof. Elodie Gauthier, Laurent Besacier, Sylvie Voisin, Michael Melese and Uriel Pascal Elingui. To appear at LREC 2016.So far, the ASR directory contains Kaldi recipes for 4 languages : Amharic, Swahili, Hausa and Wolof.
@InProceedings {Abate2005, Author = {Solomon Teferra Abate and Wolfgang Menzel and Bairu Tafila}, booktitle = {INTERSPEECH-2005}, Title = {An Amharic Speech Corpus for Large Vocabulary Continuous Speech Recognition}, Year = {2005} }
@InProceedings {gelas:hal-00954048, author = {Gelas, Hadrien and Besacier, Laurent and Pellegrino, Francois}, title = {{D}evelopments of {S}wahili resources for an automatic speech recognition system}, booktitle = {{SLTU} - {W}orkshop on {S}poken {L}anguage {T}echnologies for {U}nder-{R}esourced {L}anguages}, year = {2012}, address = {Cape-Town, Afrique Du Sud}, abstract = {no abstract}, x-international-audience = {yes}, url = {http://hal.inria.fr/hal-00954048} }
@article {gauthier2016collect, Author = {Gauthier, Elodie and Besacier, Laurent and Voisin, Sylvie and Melese, Michael and Elingui, Uriel Pascal}, Journal = {LREC}, Title = {Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof}, Year = {2016} }