Callback called to handle rejection created by an akka.http.javadsl.server.values.HttpBasicAuthenticator.
Callback called to handle rejection created by an akka.http.javadsl.server.values.HttpBasicAuthenticator. Signals that the request was rejected because the user could not be authenticated. The reason for the rejection is specified in the cause.
If credentialsMissing is false, existing credentials were rejected.
Callback called to handle rejection created by the 'authorize' directive.
Callback called to handle rejection created by the 'authorize' directive. Signals that the request was rejected because the user is not authorized.
Callback called to handle any custom rejection defined by the application.
Callback called to handle any other Scala rejection that is not covered by this class.
Callback called to handle the empty rejection which represents the "Not Found" condition.
Callback called to handle rejection created when a websocket request was expected but none was found.
Callback called to handle rejection created by form field filters.
Callback called to handle rejection created by form field filters. Signals that the request was rejected because a form field could not be interpreted.
Callback called to handle rejection created by header directives.
Callback called to handle rejection created by header directives. Signals that the request was rejected because a header value is malformed.
Callback called to handle rejection created by parameter filters.
Callback called to handle rejection created by parameter filters. Signals that the request was rejected because a query parameter could not be interpreted.
Callback called to handle rejection created by unmarshallers.
Callback called to handle rejection created by unmarshallers.
Signals that the request was rejected because unmarshalling failed with an error that wasn't
an IllegalArgumentException
. Usually that means that the request content was not of the expected format.
Note that semantic issues with the request content (e.g. because some parameter was out of range)
will usually trigger a ValidationRejection
instead.
Callback called to handle rejection created by method filters.
Callback called to handle rejection created by method filters. Signals that the request was rejected because the HTTP method is unsupported.
The default implementation does not handle the rejection.
Callback called to handle rejection created by the cookie
directive.
Callback called to handle rejection created by the cookie
directive.
Signals that the request was rejected because a cookie was not found.
Callback called to handle rejection created by form field filters.
Callback called to handle rejection created by form field filters. Signals that the request was rejected because a form field was not found.
Callback called to handle rejection created by header directives.
Callback called to handle rejection created by header directives. Signals that the request was rejected because a required header could not be found.
Callback called to handle rejection created by parameter filters.
Callback called to handle rejection created by parameter filters. Signals that the request was rejected because a query parameter was not found.
Callback called to handle rejection created by unmarshallers.
Callback called to handle rejection created by unmarshallers. Signals that the request was rejected because an message body entity was expected but not supplied.
Callback called to handle rejection created by scheme filters.
Callback called to handle rejection created by scheme filters. Signals that the request was rejected because the Uri scheme is unsupported.
Callback called to handle rejection created by range directives.
Callback called to handle rejection created by range directives. Signals that the request contains too many ranges. An irregular high number of ranges indicates a broken client or a denial of service attack.
Callback called to handle rejection created by marshallers.
Callback called to handle rejection created by marshallers. Signals that the request was rejected because the service is not capable of producing a response entity whose content type is accepted by the client.
Callback called to handle rejection created by encoding filters.
Callback called to handle rejection created by encoding filters. Signals that the request was rejected because the service is not capable of producing a response entity whose content encoding is accepted by the client
Callback called to handle rejection created by range directives.
Callback called to handle rejection created by range directives. Signals that the request was rejected because the requests contains only unsatisfiable ByteRanges. The actualEntityLength gives the client a hint to create satisfiable ByteRanges.
Callback called to handle rejection created by unmarshallers.
Callback called to handle rejection created by unmarshallers. Signals that the request was rejected because the requests content-type is unsupported.
Callback called to handle rejection created by decoding filters.
Callback called to handle rejection created by decoding filters. Signals that the request was rejected because the requests content encoding is unsupported.
Callback called to handle rejection created when a websocket request was not handled because none of the given subprotocols was supported.
Callback called to handle rejection created by the validation
directive as well as for IllegalArgumentExceptions
thrown by domain model constructors (e.g.
Callback called to handle rejection created by the validation
directive as well as for IllegalArgumentExceptions
thrown by domain model constructors (e.g. via require
).
It signals that an expected value was semantically invalid.
Use the RouteResult returned by this method in handler implementations to signal that a rejection was not handled and should be passed to an outer rejection handler.
Use the RouteResult returned by this method in handler implementations to signal that a rejection was not handled and should be passed to an outer rejection handler.
The base class for defining a RejectionHandler to be used with the
handleRejection
directive. Override one of the handler methods to define a route to be used in case the inner route rejects a request with the given rejection.Default implementations pass the rejection to outer handlers.


Whole articles? Ain’t nobody got time for that! That’s why Y’all need Meme the News. Memes are salty. Think before you scroll.
There’s roughly 100-150 new followers this week. So, you get a quick intro to Meme the News. I have a facebook page that has all kinds of people on it. The political spectrum is full, the life choices spectrum is full, the page is pretty nuetral. I go through that looking for news and memes that I think capture the zeitgeist of the moment. I’m not advocating every meme here. I’m presenting the mindset of the populace according to my wall.  These are just to poke open your mind and opinions on some of what you may take for granted.
With that I present to you Meme the News!
What’s this look like to you?
https://scontent.fbos1-1.fna.fbcdn.net/v/t1.0-9/18447178_950172308457547_2133994515635952115_n.jpg?oh=18321825140cd3eedae18559118fa7f9&oe=59AE8A06
President has waaaaay too much power. Not just the (wo)man, but the role.
https://scontent.fbos1-1.fna.fbcdn.net/v/t1.0-9/18556364_657537904445364_1764302829605867201_n.png?oh=02566651d82189b7c560a1a3e19079a8&oe=59A9568E
https://steemitimages.com/0x0/https://steemitimages.com/0x0/http://i.imgur.com/qQHBITS.png
This page is synchronized from the post: ‘Meme the News 5/19/17- So many memes!’


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Govt Escalates Helb Loan War With Damning SMSs to Defaulters
by Derrick OkubasuThe government seems to be pretty determined to make good its threat of publishing the Higher Education Loans Board (Helb) loan defaulters' credentials in local dailies if the latest development is anything to go buy.
According to a text message that has been sent to a number of the institution's former beneficiaries, Helb is on its way to actualising the threat if the 30-day deadline it issued lapses.
In the text, the institution proves that it carried out its assignment properly and that it knows who, among the recipients of the funds, is employed or not.

"Greetings! HELB is aware that you are formally employed. Kindly pay at least Kes. 4500 by 30/11/2019 to avoid penalties. MPESA PAYBILL 200800. A/C no is your ID," a text message seen by Kenyans.co.ke reads.
In mid-November, the institution threatened to publish names of defaulters and their photos in local dailies if they failed to settle their loans in time.
A representative from the institution told Kenyans.co.ke at the time, that the board noted had that some of its beneficiaries who had defaulted on their loans were not responding to communication to repay.
"Please take note the names and pictures of HELB loan beneficiaries who have defaulted repayment of the loan from 1975 to date shall be published in the leading newspapers.
"The names will be published after the expiry of 30 days from the date of this notice and thereafter legal action may ensue against each defaulter as stipulated in the HELB Act," stated the notice at the time.
Shortly after the notice was issued, a number of Kenyans responded daring the institution to go ahead and shame them in the dailies claiming that most of them were still unemployed.
Embakasi East MP Babu Owino also vowed to fight for the defaulters' rights and urged President Uhuru Kenyatta to write off the loans as the government had for coffee farmers and sugar companies.


Use the arrow keys to move the snake around to eat food!
1) Create a "head" to control. Make the head move at a constant rate, and make it turn left and right when the left and right arrow keys are pressed.
2) Create "food" for your snake to eat. Have the food be created at a constant rate and appear at random points on the screen.
3) Create a scoreboard. Whenever the snake touches a food sprite, have the food sprite disappear, and make the score increase.
4) Make it so that each time the snake eats food, the snake's tail grows longer. Have the snake's tail trail behind the snake.
6) Have the game stop if the snake touches its tail, or if it touches any of the obstacles.
8) Make it so that when the game ends, if you press a button ("R" is used in the demo), the game resets (position, score, and tail).
9) At the start of the game, display how to play the game to the player. Have the game start by pressing a button ("Space" is used in the demo), and have the displayed information stop when the game starts.
Challenge: Make a "difficulty counter." Make it so that if the difficulty increases, the snake moves faster, and if the difficulty decreases, the snake moves slower. Display the difficulty to the player (you may have to adjust the way the snake's tail follows the head to make it work). In the demo, the difficulty is changed when you hit the up or down arrow.


I fill the days improving in the craft of software development, business building, and life enrichment. As a paragraph never does much justice to anyone, look around to learn more.


EYE WASH- water solution
Preferred Pharmaceuticals, Inc.
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active ingredient
Purified water (99.05%)
Uses
washes the eye to help relieve
- •
- irritation
- •
- stinging
- •
- itching;
by removing
- •
- loose foreign material
- •
- air pollutants (smog or pollen)
- •
- chlorinated water
Warnings
Do not use
if solution changes color or becomes cloudy
When using this product
- •
- remove contact lenses before using
- •
- do not touch tip of container to any surface to avoid contamination
- •
- replace cap after use
Stop use and ask a doctor if
- •
- you experience eye pain, changes in vision, continued redness or irritation of the eye
- •
- condition worsens or persists
- •
- you have open wounds in or near the eye
Keep out of reach of children.
If swallowed, get medical help or contact a Poison Control Center right away.
Directions
- •
- flush the affected eye(s) as needed
- •
- control the rate of flow of solution by pressure on the bottle
When using an eye cup
- •
- rinse the cup with clean water immediately before each use
- •
- avoid contamination of the rim and inside surfaces of the cup
- •
- fill the cup half full and apply the cup to the affected eye(s), pressing tightly to prevent the escape of the liquid
- •
- tilt the head backward. Open eyelids wide and rotate eyeball to ensure thorough bathing with the wash or lotion
- •
- rinse the cup with clean water after each use
Other information
- •
- store at 15º–30ºC (59º–86ºF)
- •
- keep tightly closed
Inactive ingredients
Boric acid, sodium borate and sodium chloride. Hydrochloric acid and/or sodium hydroxide may be added to adjust pH. PRESERVATIVE ADDED: edetate disodium 0.025% and sorbic acid 0.1%.
Questions?
Serious side effects associated with use of this product may be reported to: 1-800-323-0000
Package/Label Principal Display Panel
NDC 68788-9979-1
Major
EYE WASH
Cleanses Refreshes Soothes
4 FL OZ (118 mL)
Preferred Pharmaceuticals, Inc.


PERLAPOLLO
Section: Perl Programmers Reference Guide (1)Updated: 2009-02-12
Index Return to Main Contents
NAME
README.apollo - Perl version 5 on Apollo DomainOSDESCRIPTION
The following tests are known to fail as of Perl 5.005_03:comp/decl..........FAILED at test 0 op/write...........FAILED at test 0 lib/filefind.......FAILED at test 2 lib/io_udp.........FAILED at test 2 lib/findbin........stat(/ressel/ABT/USER/vta/jk/proj.local/perl/perl5.005_03-MAINT_TRIAL_5/t/lib/): No such file or directory at ../lib/FindBin.pm line 162 stat(/ressel/ABT/USER/vta/jk/proj.local/perl/perl5.005_03-MAINT_TRIAL_5/t/lib/): No such file or directory at ../lib/FindBin.pm line 163 FAILED at test 1
AUTHOR
Johann Klasek<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:29:07 GMT, December 24, 2015


PLANET SICK-BOY: http://www.sick-boy.com
The following is a list (Larry Kink-style) of things that I learned from the new film, Spiceworld:
* The Spice Girls have the best teeth in all of England * George Wendt's career is washed up (although I should have figured
that out when he was thrown off of the sitcom The Naked Truth) * Sadly, Mark McKean (The Kids in the Hall) may also be having career
problems * The Spice Bus is very roomy and comfortable * Sporty Spice is arguably the most talented of the spices * `Girl Power' has something to do with Wonder-Bras and unwed
pregnancy, but I'm not sure because I nodded off for a bit * I believe that Posh Spice would best suit my mature and refined
demeanor * The best parts of the movie are when Mark McKean pitches ideas for
potential Spice Girls movie plots…all better than the one that
actually made it to the screen * Director Bob Spiers has proven that his previous flop, That Darn
Cat! (Worst 10 Films of 1997) was no fluke * I actually prayed for the songs. The singing scenes were far less
vapid than the ones where the acting was trying to happen * There is nothing that can be found in a dark theater to aid a
person with a suicide attempt. Believe me, I looked * The screenplay, by Kim Fuller (Tracy Takes On…) and Jennifer
Saunders (Absolutely Fabulous) is as annoying as Tracy Takes On…
and Absolutely Fabulous * The names of the Spice Girls should be changed to Red, Itchy,
Swollen, Burning and Painful (after a certain proctologic
phenomenon)
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


The Ambiance-Mood based Music
Home
Choose your mood
Acoustic
Cheerful
Chill
EDM
Mellow
Monsoon Magic
Party
Romantic
Title
Artist
Album
Duration
Tamma Tamma Again
Badrinath ki Dulhania


| AABA | Finance Data for Altaba |
| faceA | Draw a face |
| faceB | Draw a face |
| faceC | Draw a face |
| faceD | Draw a face |
| fluoro.predict | Predicted Surface of Fluorescence |
| grid.utext | Draw Underlined Text |
| grid.utextvp | Draw Underlined Text |
| hourlySpeed | Auckland Wind Data |
| ozTemp | Temperatures for Australian Cities |
| plot.newclass | A Traditional Graphics Function Template |
| splitString | Split text into multiple lines |
| splitTextGrob | Split text into multiple lines |
| textCorners | Draw Underlined Text |
| utextChildren | Draw Underlined Text |
| utextDynamic | Draw Underlined Text |
| utextStatic | Draw Underlined Text |
| utextvp | Draw Underlined Text |
| utextvpChildren | Draw Underlined Text |
| utextvpDynamic | Draw Underlined Text |
| utextvpStatic | Draw Underlined Text |
| wind9am | Auckland Wind Data |


Have you ever seen the compass of shame? When people face a conflict, they will often use one of four strategies for dealing with shame including 1)Withdrawal 2)Attack Self 3)Avoidance and 4)Attack Others
This is indeed a very interesting point, and I just have to agree that. To me, when I have conflict, I will probably try to "attack myself", because sometimes I will think of maybe its a good idea to diminish ourselves in the presence of others instead of "Withdrawal" where we can still stay connectect with others. I admit that there is a danger when I tried to attack myself, because the conflict can still build up inside and can lead to explisions or extremem voilence to others somethings. Thus, I've already tried to change, and improve my way to dael with conflict.
I can still recall that there is a time when I had to decide whether or not I should attend Dev Bootcamp since its a huge commitment in terms of time and money. I actually argued with my family for a while about it. We had different opionions, and we need to make the finally decision in a very short time period.
The source of the conflict might probably came from me mentioning this program to my family. Given it is a program that gonna spend a huge amount of my time and money, my family members initially disagree to let me join this program. They doubted that the program is really worth the time and the money.
Initially, I tried to go with 1 of those 4 ways mentioned on "Compass of shame" - to "attack myself". I tried to start believing what they said because I didn't want to make my relationship with my family worse. However, I then decided to convince them that their point might not be correct by giving examples I found online showing that a coding bootcamp is indeed a good investment over time.
My action actually make the conflict better. Fortunately my family members are all very open mind, and they are willing to listen to my voice. We gathered together and started analzing all the opinions again. Eventually, they are convinced by me, and let me to jon the program.
I would probably do the same thing. It is because I feel like I were actually able to solve this conflict effectively.
Always listen to others. And try to be open mind. Even if you have a strong point of view, you might still want to think from others point of view. Sometimes you might just realized something new.


Related Documentation
To provide you with the most convenient means of retrieving information, product documentation is available in several formats: print, Adobe Acrobat’s Portable Document Format (PDF), and online help.
|
Documentation |
|
|
Online |
|
DIScover Installation and Administration Guide |
Yes |
Yes |
Yes |
|
Code Integrity Enterprise Edition User Guide for Windows |
No |
Yes |
Yes |
|
Code Integrity Enterprise Edition User Guide for UNIX |
No |
Yes |
Yes |
|
Code Integrity Enterprise Edition Access Guide |
No |
Yes |
Yes |
|
Release Notes |
No |
No |
Yes |
PDF files are located in the \pdf subdirectory of the distribution CD. To view them, you must have Adobe Acrobat Reader™ installed on your machine. You can install the reader by running the setup program in the \acrobat subdirectory on the CD. Once you have installed the reader, whenever you open a PDF file the reader starts automatically.
Note: The online help is not context-sensitive.
From the Model Browser online help, you can display the Access online help by clicking . To display the Model Browser online help again, click in the Access online help.
In addition to the Code Integrity Enterprise Edition Access Guide, the other documentation included in this release is as follows:
• DIScover Installation and Administration Guide provides installation instructions for DIScover; an overview of DIScover concepts and features; and information on creating, building, and managing information models.
• DIScover User Guide for Windows explains how to use all the features of the DIScover Model Browser and Developer XPress client on the Windows platform.
• DIScover User Guide for UNIX explains how to use all the features of the DIScover Model Browser and Developer XPress client on the UNIX platform.
• Online release notes provide the most up-to-date details about this release. You should review these notes as they may contain information that only became available after the printed documentation went to press. You can read the release notes in the CD Browser or as HTML documents in a Web browser.


MahaRERA: It is mandatory for developers to get registered with approved SRO
The decision will be enforced from December 1, this year
by Chaitraly DeshmukhThe Maharashtra Real Estate Regulatory Authority (MahaRERA) has stated through its circular that the developers have to get registered with its approved Self Regulatory Organizations (SRO) before applying for the MahaRERA registration for their home projects.
The decision will be enforced from December 1, this year.
Being the SRO, CREDAI-Maharashtra has urged more and more builders to register with it stating that the entire registration process has been made online and easy for the developers.
As per the MahaRera decision, while registering a new or updating existing project, it is mandatory for the builder to register with recognized SRO bodies like CREDAI-Maharashtra or two other bodies mentioned on the MahaRERA website.
Speaking on the development, Suhas Merchant, President, CREDAI- Pune Metro stated, “CREDAI-Pune Metro is providing a special easy option called 'RERA Project Membership' to those developers who are working in PMC, PCMC, PMRDA and surrounding area and are not registered with the confederation. In this category, the developers who are not permanent members will get an option to get registered for only a particular project, they would be undertaking. These developers will also be provided by CREDAI-Pune Metro with information and guidance on the RERA Laws, filling up registration form and help with communication between MahaRera Authority and developer,” said Merchant.
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1 IN THE HIGH COURT OF KARNATAKA AT BANGALORE DATED THIS THE 26TH DAY OF DECEMBER 2012 PRESENT THE HON'BLE Dr.JUSTICE JAWAD RAHIM AND THE HON'BLE MR.JUSTICE V.SURI APPA RAO WRIT PETITION NOS.51664-51679/2012 (GM-MMS) BETWEEN: 1. M/S.BHAVANI METAL STONE MAHALINGPUR ROAD MUDHOL TQ:MUDHOL DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI ANAND S. PHADNIS 2. M/S.NEW MANJUNATH STONE CRUSHING INDUSTRIES JAMAKHANDI ROAD, MUDHOL DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI S.S.LANARI 3. M/S.VEERABHADRESHWARA STONE CRUSHER SARAKARI HANUMANERI VILLAGE TQ:BADAMI DIST:BAGALKOT 589 697 BY ITS PROPRETOR SMT.SHARADA B. JALAGERI 2 4. M/S.VEERABHADRESHWARA STONE CRUSHER TEGGI VILLAGE, TQ:BILGI DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI M.I.YANGI 5. M/S.KANKALE STONE CRUSHER TEGGI VILLAGE, TQ:BILGI DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI K.N.KANKALE. 6. M/S.SHIVARAJ ENTERPRISES JAMAKHANDI ROAD MUDHOL, DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI N.G.BANDIWADDAR 7. M/S.LAXMI VENKATESHWAR STONE CRUSHER JAMAKHANDI ROAD, MUDHOL TQ:MUDHOL, DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SMT.K.V.SIDARADDI 8. M/S.S.S.STONE CRUSHER SORGAVA VILLAGE TQ:MUDHOL, DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI M.G.HIREMATH 9. M/S.BASAVESHWAR STONE CRUSHING INDUSTRIES MALAPUR VILLAGE TQ:MUDHOL, DIST:BAGALKOT 589 697 3 BY ITS PROPRIETOR SRI L.D.BANDIWADDAR 10. M/S.MAHALAXMI STONE CRUSHER JAMAKHANDI ROAD TQ:MUDHOL, DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI MAHADEV KANKANAWADI 11. M/S.SAI STONE CRUSHER KULAKI ROAD MUDHOL, TQ:MUDHOL DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI V.V.KAKARADDI 12. M/S.SANGAMESHWAR STONE CRUSHING INDUSTRIES MALPEN VILLAGE TQ:MUDHOL, DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI S.K.PATIL. 13. M/S.SRI SHARANABASAVESHWARA STONE CRUSHER MALPEN VILLAGE KULALI ROAD TQ:MUDHOL, DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI SHIVAPPA S BANDIWADDAR 14. M/S.PATIL STONE CRUSHER TEGGI VILLAGE TQ:BILGI, DIST:BAGALKOT 589 697 BY ITS PROPRIETOR 4 SRI RAJENDRA PATIL. 15. M/S.M/S.M.K.INDUSTRIES TEGGI VILLAGE TQ:BILAGI, DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SRI USMANGANI M. KHAZI. 16. M/S.SHRI DURGA STONE CRUSHER TEGGI VILLAGE TQ:BILAGI, DIST:BAGALKOT 589 697 BY ITS PROPRIETOR SMT.SUSHILABHAI R. RATHOD. ...PETITIONERS [BY:SRI HANUMANTHAREDDY SAHUKAR, ADVOCATE] AND: 1. STATE OF KARNATAKA DEPARTMENT OF MINES AND GEOLOGY KANIJA BHAVAN RACE COURSE ROAD BANGALORE 560 001. REPRESENTED BY ITS DIRECTOR. 2. THE KARNATAKA STATE POLLUTION CONTROL BOARD PARISARA BHAVAN 1ST TO 5TH FLOOR NO.49, CHURCH STREET BANGALORE 560 001 REPRESENTED BY ITS CHAIRMAN. 3. THE DEPUTY COMMISSIONER BAGALKOT DISTRICT, BAGALKOT. 5 4. THE ASSISTANT EXECUTIVE ENGINEER HESCOM, ELECTRICITY SUPPLY COMPANY GULLEDGUDDA, TQ:BADAMI DIST: BAGALKOT 589 697 5. THE ASSISTANT EXECUTIVE ENGINEER HESCOM ELECTRICITY SUPPLY COMPANY BAGALKOT DISTRICT BAGALKOT 589 697 6. THE ASSISTANT EXECUTIVE ENGINEER HESCOM, ELECTRICITY SUPPLY COMPANY BILAGI, DIST:BAGALKOT 7. THE ASSISTANT EXECUTIVE ENGINEER HESCOM, ELECTRICITY SUPPLY COMPANY MUDHOL, DIST:BAGALKOT 589697. ...RESPONDENTS [BY:SRI R.G.KOLLE, AGA, FOR R1 & R3; SRI GURURAJ JOSHI, ADVOCATE FOR R2; SRI N.K.GUPTA, ADVOCATE FOR R4 TO R7] THESE WRIT PETITIONS ARE FILED UNDER ARTICLE 226 AND 227 OF THE CONSTITUTION OF INDIA PRAYING TO QUASH THE CLOSURE NOTICE DATED 30.8.12 ISSUED BY R2 VIDE ANNEXURE-C-C-15 RESPECTIVELY AND ETC. These petitions coming on for orders this day, Dr.JAWAD RAHIM J., made the following 6 ORDER
The petitioners are proprietary concerns engaged in running a stone crushing units under licenses issued by the competent authority arrayed in these writ petitions as respondent no.3.
2. It is not in dispute the petitioners are licensees and the licenses are valid to run the stone crushing units. In this writ action they have sought a writ of certiorari to quash the closure notices bearing the following reference numbers:
a) No.PCB/MIN/SC/CO/UIN/2012-13/2906,
b) No.PCB/MIN/SC/CO/UIN/2012-13/2916,
c) No.PCB/MIN/SC/CO/UIN/2012-13/2741,
d) No.PCB/MIN/SC/CO/UIN/2012-13/2865,
e) No.PCB/MIN/SC/CO/UIN/2012-13/2856,
f) No.PCB/MIN/SC/CO/UIN/2012-13/2941,
g) No.PCB/MIN/SC/CO/UIN/2012-13/2936,
h) No.PCB/MIN/SC/CO/UIN/2012-13/2891,
i) No.PCB/MIN/SC/CO/UIN/2012-13/2876, 7
j) No.PCB/MIN/SC/CO/UIN/2012-13/2896,
k) No.PCB/MIN/SC/CO/UIN/2012-13/2921,
l) No.PCB/MIN/SC/CO/UIN/2012-13/2926,
m) No.PCB/MIN/SC/CO/UIN/2012-13/2961,
n) No.PCB/MIN/SC/CO/UIN/2012-13/2847,
o) No.PCB/MIN/SC/CO/UIN/2012-13/2735,
p) No.PCB/MIN/SC/CO/UIN/2012-13/2717, all dated 30.8.2012 vide Annexures-C to C15 issued under Section 31(A) of the Air (Prevention and Control of Pollution Act, 1981, by the 2nd respondent . He also seeks issuance of a writ of mandamus to direct the 3rd respondent (competent authority under the Act) to consider the applications filed on different dates vide Annexures-D to D15 to permit them to operate their respective crushing units pending consideration of the application, and consequential reliefs.
3. These writ petitions and several other petitions seeking similar relief are listed for consideration and we have heard learned counsel, Sri Hanumanthareddy Sahukar 8 for the petitioner, Sri R.G.Kolle, AGA, who accepts notice on behalf of respondents 1 and 3 and Sri Gururaj Joshi, learned advocate who accepts for respondent no.2. Notice to respondents 5 and 6 is dispensed with as no relief is sought against them.
4. The contextual facts manifesting from the averments in these writ petitions and the submissions of the learned counsel for the petitioner and respondents leaves no scope for doubt that this writ action is similar to the writ action of similarly placed owners of crushing units in which questions raised in this writ petition were considered in detail in W.P.41069/12 disposed of by the Division Bench of this court on 21.11.2012 quashing the closure notice issued by the Karnataka Pollution Control Board arrayed as respondent no.2 in that writ petition and issuing a writ of mandamus to permit the petitioner therein to continue stone crushing activity till its application for re-locating the unit to a safer zone was disposed of by the competent 9 authority, i.e. Deputy Commissioner (respondent no.3 arrayed in that writ petition).
5. We are satisfied the orders impugned in that writ petition, grounds against it and the relief sought are the same as in this writ action. Therefore, we cannot summon ourselves to take a different view but to follow the decision of the Division Bench in W.P.41069/12 dated 21.11.2012 in which, while rendition of the judgment, all facts and circumstances have been taken into consideration. However, to avoid any doubt, we need to extract the core of the judgment which is as follows:
'In the present case, by Gazette Notification dated 14.8.2012 safer zones in Haveri had been duly notified to the public.
Section 3(3) of the Karnataka Regulation of Stone Crushers Act, 2011 (for short, 'the Act') permits a period of three months to existing stone crusher units to trans-locate themselves to safer zones. In this regard an application has to be filed with the Licensing Authority within a reasonable time. Unfortunately, the Act does not prescribe this period. In the present case, the Petitioner applied to the Licensing Authority on 24.9.2012. It is not disputed that consequent upon the petitioner's application, the Licensing Authority till date has neither granted or refused the license 10 under the provisions of the said Act. Since Section 3(4) of the Act prescribes an outer limit of six months for shifting from the date of grant, it could be inferred that the application has to be made within three months of the requisite Gazetting of the safer zones.
2. In these circumstances, the petition is allowed by directing the respondents to permit the operation of the petitioner at the present site upto 23.12.2012 or till such time the application is considered and disposed of, by the Licensing Authority.
3. Learned counsel for the Karnataka State Pollution Control Board (for short 'the Board) submits that the petitioner did not apply for the consent of the Board on the expiry of the previous consent on 30.6.2012. In normal circumstances, the contention would be well founded since no one is permitted to operate without current permission or consent.
4. In the circumstances of the present case, however, a piquant situation has arisen, inasmuch as the Pollution Control Board cannot grant permission to the petitioner to operate in its present site, since it must statutorily relocate to a safer zone as identified by the State. Needless to add that if and when the petitioner is granted a license to relocate to a safer zone, conditions under Section 6(9) of the Act will have to be complied with as also the permission would have to be obtained from the Board.
5. With these observations, the petition is allowed and Annexure-H dated 5.9.2012 is quashed.' 11
6. Under the circumstances, Annexures-C to C15 dated 30.8.2012 impugned in these writ petitions issued by the 2nd respondent is quashed. In terms of the order extracted above, these petitions are also allowed directing the respondents to permit operation of the stone crushing units of the petitioners at the present site till such time their applications are considered and disposed of by the licensing authority, or for a period of four weeks from now, as ordered in that writ petition. Rule issued and made absolute. In the circumstances, there shall be no order as to costs.
Sd/-
JUDGE Sd/-
JUDGE MN/vgh*


Berna L. Massingill
I can write a paragraph
across multiple lines
and it's going to join them all into one.
UNLESS I
Explicitly add a line break.
Associate Professor
Computer Science Department
Trinity University
Contact information:
- Mailing address:
Computer Science Department, Trinity University
One Trinity Place
San Antonio, TX 78212-7200
- E-mail:
(find via TMail)
- Office: CSI 270J
- Phone:<PHONE_NUMBER>
Fall 2020 teaching schedule:
- Monday/Wednesday 12:30pm -- 1:20pm: CSCI 3215 (remote only)
- Monday/Wednesday 2:30pm -- 3:45pm: CSCI 3323 (remote only)
- Monday/Wednesday 3:55pm -- 4:45pm: CSCI 3323 (remote only)
- Friday 12:30pm -- 1:20pm: CSCI 1120 (remote only)
- Monday/Wednesday 1:30pm -- 2:20pm
- Monday/Wednesday 5:15pm -- 6:15pm
- Friday 2:30pm -- 4:30pm (most weeks)
- By appointment (send e-mail)
- All via Zoom, meeting details in
Massingill Virtual Office Hours
(Trinity users only)
- Department Web sites:
- My notes on using the CS Linux systems (general)
- My notes on using the CS Linux systems (specific tools)
- Miscellaneous
- Example of LaTeX files for senior thesis:
gzipped tar,
ZIP archive
(both Trinity users only)
- Parallel and distributed computing; design patterns; formal methods.
Last updated: 09/04/2020
© Berna L. Massingill, 2020


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Namespace com.google.cloud.speech.v1p1beta1
{% verbatim %}The interfaces provided are listed below, along with usage samples.
======================= SpeechClient =======================
Service Description: Service that implements Google Cloud Speech API.
Sample for SpeechClient:
try (SpeechClient speechClient = SpeechClient.create()) {
RecognitionConfig config = RecognitionConfig.newBuilder().build();
RecognitionAudio audio = RecognitionAudio.newBuilder().build();
RecognizeResponse response = speechClient.recognize(config, audio);
}
======================= AdaptationClient =======================
Service Description: Service that implements Google Cloud Speech Adaptation API.
Sample for AdaptationClient:
try (AdaptationClient adaptationClient = AdaptationClient.create()) {
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
PhraseSet phraseSet = PhraseSet.newBuilder().build();
String phraseSetId = "phraseSetId959902180";
PhraseSet response = adaptationClient.createPhraseSet(parent, phraseSet, phraseSetId);
}
Classes
AdaptationClient
Service Description: Service that implements Google Cloud Speech Adaptation API.
This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:
try (AdaptationClient adaptationClient = AdaptationClient.create()) {
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
PhraseSet phraseSet = PhraseSet.newBuilder().build();
String phraseSetId = "phraseSetId959902180";
PhraseSet response = adaptationClient.createPhraseSet(parent, phraseSet, phraseSetId);
}
Note: close() needs to be called on the AdaptationClient object to clean up resources such as threads. In the example above, try-with-resources is used, which automatically calls close().
The surface of this class includes several types of Java methods for each of the API's methods:
- A "flattened" method. With this type of method, the fields of the request type have been converted into function parameters. It may be the case that not all fields are available as parameters, and not every API method will have a flattened method entry point.
- A "request object" method. This type of method only takes one parameter, a request object, which must be constructed before the call. Not every API method will have a request object method.
- A "callable" method. This type of method takes no parameters and returns an immutable API callable object, which can be used to initiate calls to the service.
See the individual methods for example code.
Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parse method to extract the individual identifiers contained within names that are returned.
This class can be customized by passing in a custom instance of AdaptationSettings to create(). For example:
To customize credentials:
AdaptationSettings adaptationSettings =
AdaptationSettings.newBuilder()
.setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
.build();
AdaptationClient adaptationClient = AdaptationClient.create(adaptationSettings);
To customize the endpoint:
AdaptationSettings adaptationSettings =
AdaptationSettings.newBuilder().setEndpoint(myEndpoint).build();
AdaptationClient adaptationClient = AdaptationClient.create(adaptationSettings);
Please refer to the GitHub repository's samples for more quickstart code snippets.
AdaptationClient.ListCustomClassesFixedSizeCollection
AdaptationClient.ListCustomClassesPage
AdaptationClient.ListCustomClassesPagedResponse
AdaptationClient.ListPhraseSetFixedSizeCollection
AdaptationClient.ListPhraseSetPage
AdaptationClient.ListPhraseSetPagedResponse
AdaptationGrpc
Service that implements Google Cloud Speech Adaptation API.
AdaptationGrpc.AdaptationBlockingStub
Service that implements Google Cloud Speech Adaptation API.
AdaptationGrpc.AdaptationFutureStub
Service that implements Google Cloud Speech Adaptation API.
AdaptationGrpc.AdaptationImplBase
Service that implements Google Cloud Speech Adaptation API.
AdaptationGrpc.AdaptationStub
Service that implements Google Cloud Speech Adaptation API.
AdaptationSettings
Settings class to configure an instance of AdaptationClient.
The default instance has everything set to sensible defaults:
- The default service address (speech.googleapis.com) and default port (443) are used.
- Credentials are acquired automatically through Application Default Credentials.
- Retries are configured for idempotent methods but not for non-idempotent methods.
The builder of this class is recursive, so contained classes are themselves builders. When build() is called, the tree of builders is called to create the complete settings object.
For example, to set the total timeout of createPhraseSet to 30 seconds:
AdaptationSettings.Builder adaptationSettingsBuilder = AdaptationSettings.newBuilder();
adaptationSettingsBuilder
.createPhraseSetSettings()
.setRetrySettings(
adaptationSettingsBuilder
.createPhraseSetSettings()
.getRetrySettings()
.toBuilder()
.setTotalTimeout(Duration.ofSeconds(30))
.build());
AdaptationSettings adaptationSettings = adaptationSettingsBuilder.build();
AdaptationSettings.Builder
Builder for AdaptationSettings.
CreateCustomClassRequest
Message sent by the client for the `CreateCustomClass` method.
Protobuf type google.cloud.speech.v1p1beta1.CreateCustomClassRequest
CreateCustomClassRequest.Builder
Message sent by the client for the `CreateCustomClass` method.
Protobuf type google.cloud.speech.v1p1beta1.CreateCustomClassRequest
CreatePhraseSetRequest
Message sent by the client for the `CreatePhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.CreatePhraseSetRequest
CreatePhraseSetRequest.Builder
Message sent by the client for the `CreatePhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.CreatePhraseSetRequest
CustomClass
A set of words or phrases that represents a common concept likely to appear
in your audio, for example a list of passenger ship names. CustomClass items
can be substituted into placeholders that you set in PhraseSet phrases.
Protobuf type google.cloud.speech.v1p1beta1.CustomClass
CustomClass.Builder
A set of words or phrases that represents a common concept likely to appear
in your audio, for example a list of passenger ship names. CustomClass items
can be substituted into placeholders that you set in PhraseSet phrases.
Protobuf type google.cloud.speech.v1p1beta1.CustomClass
CustomClass.ClassItem
An item of the class.
Protobuf type google.cloud.speech.v1p1beta1.CustomClass.ClassItem
CustomClass.ClassItem.Builder
An item of the class.
Protobuf type google.cloud.speech.v1p1beta1.CustomClass.ClassItem
CustomClassName
CustomClassName.Builder
Builder for projects/{project}/locations/{location}/customClasses/{custom_class}.
DeleteCustomClassRequest
Message sent by the client for the `DeleteCustomClass` method.
Protobuf type google.cloud.speech.v1p1beta1.DeleteCustomClassRequest
DeleteCustomClassRequest.Builder
Message sent by the client for the `DeleteCustomClass` method.
Protobuf type google.cloud.speech.v1p1beta1.DeleteCustomClassRequest
DeletePhraseSetRequest
Message sent by the client for the `DeletePhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.DeletePhraseSetRequest
DeletePhraseSetRequest.Builder
Message sent by the client for the `DeletePhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.DeletePhraseSetRequest
GetCustomClassRequest
Message sent by the client for the `GetCustomClass` method.
Protobuf type google.cloud.speech.v1p1beta1.GetCustomClassRequest
GetCustomClassRequest.Builder
Message sent by the client for the `GetCustomClass` method.
Protobuf type google.cloud.speech.v1p1beta1.GetCustomClassRequest
GetPhraseSetRequest
Message sent by the client for the `GetPhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.GetPhraseSetRequest
GetPhraseSetRequest.Builder
Message sent by the client for the `GetPhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.GetPhraseSetRequest
ListCustomClassesRequest
Message sent by the client for the `ListCustomClasses` method.
Protobuf type google.cloud.speech.v1p1beta1.ListCustomClassesRequest
ListCustomClassesRequest.Builder
Message sent by the client for the `ListCustomClasses` method.
Protobuf type google.cloud.speech.v1p1beta1.ListCustomClassesRequest
ListCustomClassesResponse
Message returned to the client by the `ListCustomClasses` method.
Protobuf type google.cloud.speech.v1p1beta1.ListCustomClassesResponse
ListCustomClassesResponse.Builder
Message returned to the client by the `ListCustomClasses` method.
Protobuf type google.cloud.speech.v1p1beta1.ListCustomClassesResponse
ListPhraseSetRequest
Message sent by the client for the `ListPhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.ListPhraseSetRequest
ListPhraseSetRequest.Builder
Message sent by the client for the `ListPhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.ListPhraseSetRequest
ListPhraseSetResponse
Message returned to the client by the `ListPhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.ListPhraseSetResponse
ListPhraseSetResponse.Builder
Message returned to the client by the `ListPhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.ListPhraseSetResponse
LocationName
LocationName.Builder
Builder for projects/{project}/locations/{location}.
LongRunningRecognizeMetadata
Describes the progress of a long-running `LongRunningRecognize` call. It is
included in the `metadata` field of the `Operation` returned by the
`GetOperation` call of the `google::longrunning::Operations` service.
Protobuf type google.cloud.speech.v1p1beta1.LongRunningRecognizeMetadata
LongRunningRecognizeMetadata.Builder
Describes the progress of a long-running `LongRunningRecognize` call. It is
included in the `metadata` field of the `Operation` returned by the
`GetOperation` call of the `google::longrunning::Operations` service.
Protobuf type google.cloud.speech.v1p1beta1.LongRunningRecognizeMetadata
LongRunningRecognizeRequest
The top-level message sent by the client for the `LongRunningRecognize`
method.
Protobuf type google.cloud.speech.v1p1beta1.LongRunningRecognizeRequest
LongRunningRecognizeRequest.Builder
The top-level message sent by the client for the `LongRunningRecognize`
method.
Protobuf type google.cloud.speech.v1p1beta1.LongRunningRecognizeRequest
LongRunningRecognizeResponse
The only message returned to the client by the `LongRunningRecognize` method.
It contains the result as zero or more sequential `SpeechRecognitionResult`
messages. It is included in the `result.response` field of the `Operation`
returned by the `GetOperation` call of the `google::longrunning::Operations`
service.
Protobuf type google.cloud.speech.v1p1beta1.LongRunningRecognizeResponse
LongRunningRecognizeResponse.Builder
The only message returned to the client by the `LongRunningRecognize` method.
It contains the result as zero or more sequential `SpeechRecognitionResult`
messages. It is included in the `result.response` field of the `Operation`
returned by the `GetOperation` call of the `google::longrunning::Operations`
service.
Protobuf type google.cloud.speech.v1p1beta1.LongRunningRecognizeResponse
PhraseSet
Provides "hints" to the speech recognizer to favor specific words and phrases
in the results.
Protobuf type google.cloud.speech.v1p1beta1.PhraseSet
PhraseSet.Builder
Provides "hints" to the speech recognizer to favor specific words and phrases
in the results.
Protobuf type google.cloud.speech.v1p1beta1.PhraseSet
PhraseSet.Phrase
A phrases containing words and phrase "hints" so that
the speech recognition is more likely to recognize them. This can be used
to improve the accuracy for specific words and phrases, for example, if
specific commands are typically spoken by the user. This can also be used
to add additional words to the vocabulary of the recognizer. See
[usage limits](https://cloud.google.com/speech-to-text/quotas#content).
List items can also include pre-built or custom classes containing groups
of words that represent common concepts that occur in natural language. For
example, rather than providing a phrase hint for every month of the
year (e.g. "i was born in january", "i was born in febuary", ...), use the
pre-built `$MONTH` class improves the likelihood of correctly transcribing
audio that includes months (e.g. "i was born in $month").
To refer to pre-built classes, use the class' symbol prepended with `$`
e.g. `$MONTH`. To refer to custom classes that were defined inline in the
request, set the class's `custom_class_id` to a string unique to all class
resources and inline classes. Then use the class' id wrapped in $`{...}`
e.g. "${my-months}". To refer to custom classes resources, use the class'
id wrapped in `${}` (e.g. `${my-months}`).
Protobuf type google.cloud.speech.v1p1beta1.PhraseSet.Phrase
PhraseSet.Phrase.Builder
A phrases containing words and phrase "hints" so that
the speech recognition is more likely to recognize them. This can be used
to improve the accuracy for specific words and phrases, for example, if
specific commands are typically spoken by the user. This can also be used
to add additional words to the vocabulary of the recognizer. See
[usage limits](https://cloud.google.com/speech-to-text/quotas#content).
List items can also include pre-built or custom classes containing groups
of words that represent common concepts that occur in natural language. For
example, rather than providing a phrase hint for every month of the
year (e.g. "i was born in january", "i was born in febuary", ...), use the
pre-built `$MONTH` class improves the likelihood of correctly transcribing
audio that includes months (e.g. "i was born in $month").
To refer to pre-built classes, use the class' symbol prepended with `$`
e.g. `$MONTH`. To refer to custom classes that were defined inline in the
request, set the class's `custom_class_id` to a string unique to all class
resources and inline classes. Then use the class' id wrapped in $`{...}`
e.g. "${my-months}". To refer to custom classes resources, use the class'
id wrapped in `${}` (e.g. `${my-months}`).
Protobuf type google.cloud.speech.v1p1beta1.PhraseSet.Phrase
PhraseSetName
PhraseSetName.Builder
Builder for projects/{project}/locations/{location}/phraseSets/{phrase_set}.
RecognitionAudio
Contains audio data in the encoding specified in the `RecognitionConfig`.
Either `content` or `uri` must be supplied. Supplying both or neither
returns [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT].
See [content limits](https://cloud.google.com/speech-to-text/quotas#content).
Protobuf type google.cloud.speech.v1p1beta1.RecognitionAudio
RecognitionAudio.Builder
Contains audio data in the encoding specified in the `RecognitionConfig`.
Either `content` or `uri` must be supplied. Supplying both or neither
returns [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT].
See [content limits](https://cloud.google.com/speech-to-text/quotas#content).
Protobuf type google.cloud.speech.v1p1beta1.RecognitionAudio
RecognitionConfig
Provides information to the recognizer that specifies how to process the
request.
Protobuf type google.cloud.speech.v1p1beta1.RecognitionConfig
RecognitionConfig.Builder
Provides information to the recognizer that specifies how to process the
request.
Protobuf type google.cloud.speech.v1p1beta1.RecognitionConfig
RecognitionMetadata
Description of audio data to be recognized.
Protobuf type google.cloud.speech.v1p1beta1.RecognitionMetadata
RecognitionMetadata.Builder
Description of audio data to be recognized.
Protobuf type google.cloud.speech.v1p1beta1.RecognitionMetadata
RecognizeRequest
The top-level message sent by the client for the `Recognize` method.
Protobuf type google.cloud.speech.v1p1beta1.RecognizeRequest
RecognizeRequest.Builder
The top-level message sent by the client for the `Recognize` method.
Protobuf type google.cloud.speech.v1p1beta1.RecognizeRequest
RecognizeResponse
The only message returned to the client by the `Recognize` method. It
contains the result as zero or more sequential `SpeechRecognitionResult`
messages.
Protobuf type google.cloud.speech.v1p1beta1.RecognizeResponse
RecognizeResponse.Builder
The only message returned to the client by the `Recognize` method. It
contains the result as zero or more sequential `SpeechRecognitionResult`
messages.
Protobuf type google.cloud.speech.v1p1beta1.RecognizeResponse
SpeakerDiarizationConfig
Config to enable speaker diarization.
Protobuf type google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig
SpeakerDiarizationConfig.Builder
Config to enable speaker diarization.
Protobuf type google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig
SpeechAdaptation
Speech adaptation configuration.
Protobuf type google.cloud.speech.v1p1beta1.SpeechAdaptation
SpeechAdaptation.Builder
Speech adaptation configuration.
Protobuf type google.cloud.speech.v1p1beta1.SpeechAdaptation
SpeechAdaptationProto
SpeechClient
Service Description: Service that implements Google Cloud Speech API.
This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:
try (SpeechClient speechClient = SpeechClient.create()) {
RecognitionConfig config = RecognitionConfig.newBuilder().build();
RecognitionAudio audio = RecognitionAudio.newBuilder().build();
RecognizeResponse response = speechClient.recognize(config, audio);
}
Note: close() needs to be called on the SpeechClient object to clean up resources such as threads. In the example above, try-with-resources is used, which automatically calls close().
The surface of this class includes several types of Java methods for each of the API's methods:
- A "flattened" method. With this type of method, the fields of the request type have been converted into function parameters. It may be the case that not all fields are available as parameters, and not every API method will have a flattened method entry point.
- A "request object" method. This type of method only takes one parameter, a request object, which must be constructed before the call. Not every API method will have a request object method.
- A "callable" method. This type of method takes no parameters and returns an immutable API callable object, which can be used to initiate calls to the service.
See the individual methods for example code.
Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parse method to extract the individual identifiers contained within names that are returned.
This class can be customized by passing in a custom instance of SpeechSettings to create(). For example:
To customize credentials:
SpeechSettings speechSettings =
SpeechSettings.newBuilder()
.setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
.build();
SpeechClient speechClient = SpeechClient.create(speechSettings);
To customize the endpoint:
SpeechSettings speechSettings = SpeechSettings.newBuilder().setEndpoint(myEndpoint).build();
SpeechClient speechClient = SpeechClient.create(speechSettings);
Please refer to the GitHub repository's samples for more quickstart code snippets.
SpeechContext
Provides "hints" to the speech recognizer to favor specific words and phrases
in the results.
Protobuf type google.cloud.speech.v1p1beta1.SpeechContext
SpeechContext.Builder
Provides "hints" to the speech recognizer to favor specific words and phrases
in the results.
Protobuf type google.cloud.speech.v1p1beta1.SpeechContext
SpeechGrpc
Service that implements Google Cloud Speech API.
SpeechGrpc.SpeechBlockingStub
Service that implements Google Cloud Speech API.
SpeechGrpc.SpeechFutureStub
Service that implements Google Cloud Speech API.
SpeechGrpc.SpeechImplBase
Service that implements Google Cloud Speech API.
SpeechGrpc.SpeechStub
Service that implements Google Cloud Speech API.
SpeechProto
SpeechRecognitionAlternative
Alternative hypotheses (a.k.a. n-best list).
Protobuf type google.cloud.speech.v1p1beta1.SpeechRecognitionAlternative
SpeechRecognitionAlternative.Builder
Alternative hypotheses (a.k.a. n-best list).
Protobuf type google.cloud.speech.v1p1beta1.SpeechRecognitionAlternative
SpeechRecognitionResult
A speech recognition result corresponding to a portion of the audio.
Protobuf type google.cloud.speech.v1p1beta1.SpeechRecognitionResult
SpeechRecognitionResult.Builder
A speech recognition result corresponding to a portion of the audio.
Protobuf type google.cloud.speech.v1p1beta1.SpeechRecognitionResult
SpeechResourceProto
SpeechSettings
Settings class to configure an instance of SpeechClient.
The default instance has everything set to sensible defaults:
- The default service address (speech.googleapis.com) and default port (443) are used.
- Credentials are acquired automatically through Application Default Credentials.
- Retries are configured for idempotent methods but not for non-idempotent methods.
The builder of this class is recursive, so contained classes are themselves builders. When build() is called, the tree of builders is called to create the complete settings object.
For example, to set the total timeout of recognize to 30 seconds:
SpeechSettings.Builder speechSettingsBuilder = SpeechSettings.newBuilder();
speechSettingsBuilder
.recognizeSettings()
.setRetrySettings(
speechSettingsBuilder
.recognizeSettings()
.getRetrySettings()
.toBuilder()
.setTotalTimeout(Duration.ofSeconds(30))
.build());
SpeechSettings speechSettings = speechSettingsBuilder.build();
SpeechSettings.Builder
Builder for SpeechSettings.
StreamingRecognitionConfig
Provides information to the recognizer that specifies how to process the
request.
Protobuf type google.cloud.speech.v1p1beta1.StreamingRecognitionConfig
StreamingRecognitionConfig.Builder
Provides information to the recognizer that specifies how to process the
request.
Protobuf type google.cloud.speech.v1p1beta1.StreamingRecognitionConfig
StreamingRecognitionResult
A streaming speech recognition result corresponding to a portion of the audio
that is currently being processed.
Protobuf type google.cloud.speech.v1p1beta1.StreamingRecognitionResult
StreamingRecognitionResult.Builder
A streaming speech recognition result corresponding to a portion of the audio
that is currently being processed.
Protobuf type google.cloud.speech.v1p1beta1.StreamingRecognitionResult
StreamingRecognizeRequest
The top-level message sent by the client for the `StreamingRecognize` method.
Multiple `StreamingRecognizeRequest` messages are sent. The first message
must contain a `streaming_config` message and must not contain
`audio_content`. All subsequent messages must contain `audio_content` and
must not contain a `streaming_config` message.
Protobuf type google.cloud.speech.v1p1beta1.StreamingRecognizeRequest
StreamingRecognizeRequest.Builder
The top-level message sent by the client for the `StreamingRecognize` method.
Multiple `StreamingRecognizeRequest` messages are sent. The first message
must contain a `streaming_config` message and must not contain
`audio_content`. All subsequent messages must contain `audio_content` and
must not contain a `streaming_config` message.
Protobuf type google.cloud.speech.v1p1beta1.StreamingRecognizeRequest
StreamingRecognizeResponse
`StreamingRecognizeResponse` is the only message returned to the client by
`StreamingRecognize`. A series of zero or more `StreamingRecognizeResponse`
messages are streamed back to the client. If there is no recognizable
audio, and `single_utterance` is set to false, then no messages are streamed
back to the client.
Here's an example of a series of ten `StreamingRecognizeResponse`s that might
be returned while processing audio:
1. results { alternatives { transcript: "tube" } stability: 0.01 }
2. results { alternatives { transcript: "to be a" } stability: 0.01 }
3. results { alternatives { transcript: "to be" } stability: 0.9 }
results { alternatives { transcript: " or not to be" } stability: 0.01 }
4. results { alternatives { transcript: "to be or not to be"
confidence: 0.92 }
alternatives { transcript: "to bee or not to bee" }
is_final: true }
5. results { alternatives { transcript: " that's" } stability: 0.01 }
6. results { alternatives { transcript: " that is" } stability: 0.9 }
results { alternatives { transcript: " the question" } stability: 0.01 }
7. results { alternatives { transcript: " that is the question"
confidence: 0.98 }
alternatives { transcript: " that was the question" }
is_final: true }
Notes:
- Only two of the above responses #4 and #7 contain final results; they are
indicated by `is_final: true`. Concatenating these together generates the
full transcript: "to be or not to be that is the question".
- The others contain interim `results`. #3 and #6 contain two interim
`results`: the first portion has a high stability and is less likely to
change; the second portion has a low stability and is very likely to
change. A UI designer might choose to show only high stability `results`.
- The specific `stability` and `confidence` values shown above are only for
illustrative purposes. Actual values may vary.
- In each response, only one of these fields will be set:
`error`,
`speech_event_type`, or
one or more (repeated) `results`.
Protobuf type google.cloud.speech.v1p1beta1.StreamingRecognizeResponse
StreamingRecognizeResponse.Builder
`StreamingRecognizeResponse` is the only message returned to the client by
`StreamingRecognize`. A series of zero or more `StreamingRecognizeResponse`
messages are streamed back to the client. If there is no recognizable
audio, and `single_utterance` is set to false, then no messages are streamed
back to the client.
Here's an example of a series of ten `StreamingRecognizeResponse`s that might
be returned while processing audio:
1. results { alternatives { transcript: "tube" } stability: 0.01 }
2. results { alternatives { transcript: "to be a" } stability: 0.01 }
3. results { alternatives { transcript: "to be" } stability: 0.9 }
results { alternatives { transcript: " or not to be" } stability: 0.01 }
4. results { alternatives { transcript: "to be or not to be"
confidence: 0.92 }
alternatives { transcript: "to bee or not to bee" }
is_final: true }
5. results { alternatives { transcript: " that's" } stability: 0.01 }
6. results { alternatives { transcript: " that is" } stability: 0.9 }
results { alternatives { transcript: " the question" } stability: 0.01 }
7. results { alternatives { transcript: " that is the question"
confidence: 0.98 }
alternatives { transcript: " that was the question" }
is_final: true }
Notes:
- Only two of the above responses #4 and #7 contain final results; they are
indicated by `is_final: true`. Concatenating these together generates the
full transcript: "to be or not to be that is the question".
- The others contain interim `results`. #3 and #6 contain two interim
`results`: the first portion has a high stability and is less likely to
change; the second portion has a low stability and is very likely to
change. A UI designer might choose to show only high stability `results`.
- The specific `stability` and `confidence` values shown above are only for
illustrative purposes. Actual values may vary.
- In each response, only one of these fields will be set:
`error`,
`speech_event_type`, or
one or more (repeated) `results`.
Protobuf type google.cloud.speech.v1p1beta1.StreamingRecognizeResponse
UpdateCustomClassRequest
Message sent by the client for the `UpdateCustomClass` method.
Protobuf type google.cloud.speech.v1p1beta1.UpdateCustomClassRequest
UpdateCustomClassRequest.Builder
Message sent by the client for the `UpdateCustomClass` method.
Protobuf type google.cloud.speech.v1p1beta1.UpdateCustomClassRequest
UpdatePhraseSetRequest
Message sent by the client for the `UpdatePhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.UpdatePhraseSetRequest
UpdatePhraseSetRequest.Builder
Message sent by the client for the `UpdatePhraseSet` method.
Protobuf type google.cloud.speech.v1p1beta1.UpdatePhraseSetRequest
WordInfo
Word-specific information for recognized words.
Protobuf type google.cloud.speech.v1p1beta1.WordInfo
WordInfo.Builder
Word-specific information for recognized words.
Protobuf type google.cloud.speech.v1p1beta1.WordInfo
Interfaces
CreateCustomClassRequestOrBuilder
CreatePhraseSetRequestOrBuilder
CustomClass.ClassItemOrBuilder
CustomClassOrBuilder
DeleteCustomClassRequestOrBuilder
DeletePhraseSetRequestOrBuilder
GetCustomClassRequestOrBuilder
GetPhraseSetRequestOrBuilder
ListCustomClassesRequestOrBuilder
ListCustomClassesResponseOrBuilder
ListPhraseSetRequestOrBuilder
ListPhraseSetResponseOrBuilder
LongRunningRecognizeMetadataOrBuilder
LongRunningRecognizeRequestOrBuilder
LongRunningRecognizeResponseOrBuilder
PhraseSet.PhraseOrBuilder
PhraseSetOrBuilder
RecognitionAudioOrBuilder
RecognitionConfigOrBuilder
RecognitionMetadataOrBuilder
RecognizeRequestOrBuilder
RecognizeResponseOrBuilder
SpeakerDiarizationConfigOrBuilder
SpeechAdaptationOrBuilder
SpeechContextOrBuilder
SpeechRecognitionAlternativeOrBuilder
SpeechRecognitionResultOrBuilder
StreamingRecognitionConfigOrBuilder
StreamingRecognitionResultOrBuilder
StreamingRecognizeRequestOrBuilder
StreamingRecognizeResponseOrBuilder
UpdateCustomClassRequestOrBuilder
UpdatePhraseSetRequestOrBuilder
WordInfoOrBuilder
Enums
RecognitionAudio.AudioSourceCase
RecognitionConfig.AudioEncoding
The encoding of the audio data sent in the request.
All encodings support only 1 channel (mono) audio, unless the
`audio_channel_count` and `enable_separate_recognition_per_channel` fields
are set.
For best results, the audio source should be captured and transmitted using
a lossless encoding (`FLAC` or `LINEAR16`). The accuracy of the speech
recognition can be reduced if lossy codecs are used to capture or transmit
audio, particularly if background noise is present. Lossy codecs include
`MULAW`, `AMR`, `AMR_WB`, `OGG_OPUS`, `SPEEX_WITH_HEADER_BYTE`, and `MP3`.
The `FLAC` and `WAV` audio file formats include a header that describes the
included audio content. You can request recognition for `WAV` files that
contain either `LINEAR16` or `MULAW` encoded audio.
If you send `FLAC` or `WAV` audio file format in
your request, you do not need to specify an `AudioEncoding`; the audio
encoding format is determined from the file header. If you specify
an `AudioEncoding` when you send send `FLAC` or `WAV` audio, the
encoding configuration must match the encoding described in the audio
header; otherwise the request returns an
[google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT] error
code.
Protobuf enum google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding
RecognitionMetadata.InteractionType
Use case categories that the audio recognition request can be described
by.
Protobuf enum google.cloud.speech.v1p1beta1.RecognitionMetadata.InteractionType
RecognitionMetadata.MicrophoneDistance
Enumerates the types of capture settings describing an audio file.
Protobuf enum google.cloud.speech.v1p1beta1.RecognitionMetadata.MicrophoneDistance
RecognitionMetadata.OriginalMediaType
The original media the speech was recorded on.
Protobuf enum google.cloud.speech.v1p1beta1.RecognitionMetadata.OriginalMediaType
RecognitionMetadata.RecordingDeviceType
The type of device the speech was recorded with.
Protobuf enum google.cloud.speech.v1p1beta1.RecognitionMetadata.RecordingDeviceType
StreamingRecognizeRequest.StreamingRequestCase
StreamingRecognizeResponse.SpeechEventType
Indicates the type of speech event.
Protobuf enum google.cloud.speech.v1p1beta1.StreamingRecognizeResponse.SpeechEventType


Perform the Wild Scale-Enhanced (WiSE) bootstrap. Specifically, the user may supply a single or multiple equally-spaced time series and use the WiSE bootstrap to select a wavelet-smoothed model. Conversely, a pre-selected smooth level may also be specified for the time series. Quantities such as the bootstrap sample of wavelet coefficients, smoothed bootstrap samples, and specific hypothesis testing and confidence region results of the wavelet coefficients may be obtained. Additional functions are available to the user which help format the time series before analysis. This methodology is recommended to aid in model selection and signal extraction. Note: This package specifically uses wavelet bases in the WiSE bootstrap methodology, but the theoretical construct is much more versatile.
| Version: | 1.4.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | wavethresh, FAdist |
| Suggests: | knitr |
| Published: | 2016-04-03 |
| Author: | Megan Heyman, Snigdhansu Chatterjee |
| Maintainer: | Megan Heyman <heyma029 at umn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | WiSEBoot results |
| Reference manual: | WiSEBoot.pdf |
| Vignettes: |
WiSEBoot Vignette |
| Package source: | WiSEBoot_1.4.0.tar.gz |
| Windows binaries: | r-devel: WiSEBoot_1.4.0.zip, r-release: WiSEBoot_1.4.0.zip, r-oldrel: WiSEBoot_1.4.0.zip |
| OS X binaries: | r-release: WiSEBoot_1.4.0.tgz, r-oldrel: WiSEBoot_1.4.0.tgz |
| Old sources: | WiSEBoot archive |
Please use the canonical form https://CRAN.R-project.org/package=WiSEBoot to link to this page.


| DOSE: T+ 0:00 |
0.5 tablets |
oral |
MDMA |
(pill / tablet) |
| T+ 1:00 |
0.5 tablets |
oral |
MDMA |
(pill / tablet) |
| T+ 5:00 |
|
smoked |
Cannabis |
(plant material) |
| T+ 6:30 |
12 mg |
oral |
Pharms - Sertraline |
(pill / tablet) |
I decided to try X at home for the first time. I have a tendancy to be more antisocial so I was curious about how a supposed empathogenic drug would affect me.
At 7:30 pm I dropped 1/2 of the pill and waited until 8:30.
I thought that I might be starting to feel the effects then so I dropped the other half. At about 9:00 pm I began to feel like I wanted to do something but that any activity would be too much for me to really grasp the scope of, and couldn't concentrate on much of anything either. Perfect time to watch TV. As I sat and watched TV I started getting the eye-wiggles and almost felt sleepy. Then I started getting this feeling like electricity was originating from the core of my body and radiating out toward my hands and feet. Now THAT was cool!! For me, Ex is like Zoloft with extra cream and sugar. The feeling is 'swoopy', breezy and disengaged, 'sparkly' and calm. Also, watching TV, I felt more interested in the movies and somehow more 'involved' with the characters and their lives which is really atypical for me since I am usually quite disinteresed in tv and view it as a waste of time.
This feeling continued until about 2 AM at which time I decided to drop 12mg of Zoloft. I have a few Zoloft laying around and sometimes the SSRI buzz can be kind of cool, but persistent and potent (those little pills really pack a punch, once your'e in, your'e in for a couple days). My reasoning was that perhaps I could maintain an elevated level of seritonin via the re-uptake inhibitor. I have later discovered that people report that SSRIs actually reduce the effects of Ex. It didn't matter, I don't think, since I only took a quarter of the Zoloft. One more wonderfully interesting thing... I decided to smoke some weed toward the end of the Ex buzz and discovered that the initial 10-15 min.of paranoia that I have ALWAYS gotten from weed was completely stripped away. Weed was absolutely amazing and wonderful with Ex! It completely revamped my buzz for about 1 1/2 more hours! I felt so relaxed and comfortable!
If I run into this stuff again I'll probably try it one more time but I will take two pills instead of one. I'll try to do it with a group of friends at somebody's house. I will discontinue my use after that because I've read too many entries by people that say they stay depressed for days or weeks afterwards. I am sorry that happened to them, and I hope it eventually goes away.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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Grouped
group above and below
Single
Filter
Filter
this sets a random number of pages to simulate a filter


Ibrahimovic thanks LA Galaxy fans for making him feel ‘alive again’
The Swedish striker scored 31 goals in 31 games for the MLS side after leaving Manchester United in March 2018.
Zlatan Ibrahimovic has thanked LA Galaxy for making him feel “alive again”.
The Swedish striker will end a two-year spell at the MLS club when his contract expires in December.
Ibrahimovic scored 31 goals in 31 games for Galaxy after leaving Manchester United in March 2018, but his final match ended in defeat with Galaxy losing to Los Angeles FC in the MLS Cup play-offs conference semi-finals.
In a post on Twitter, Ibrahimovic wrote: “I came, I saw, I conquered. Thank you LA Galaxy for making me feel alive again. To the Galaxy fans – you wanted Zlatan, I gave you Zlatan. You are welcome. The story continues…”
The 38-year-old finished his post by joking: “Now go back to watch baseball.”
Ibrahimovic, who has played for some of the biggest clubs in world football including Ajax, Juventus, Inter Milan, Barcelona, AC Milan and Paris St Germain gave no indication over his future.
He has been linked with a return to Serie A, with AC Milan and Bologna among the clubs said to be interested in signing the free agent.


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This video shows a species of homo sapien learning it's primary method of locomotion : the unicycle. As we can see it has great difficult to execute even the simplest task. However it will learn and soon will grow to become a full grown individual capable of sustaining itself and provide for others..


We currently have an opening in the Creative Department, take a look and apply if you think you'd be a good fit
Our current vacancies can be found below. If you don't see the vacancy you're looking for, don't be put off; we're always looking for talented people, send us your CV.
MAVAJ SUN CO makes a point of employing only the best people. If you can prove to us how good you are, and you're passionate about the web and can make a real impact, get in touch.
We are always on the lookout for great people. Take a look at our current vacancies below you can apply for the relevant position by sending our CVs.


Quark v1.0.2 Quark.FixedPoint
Fixed point combinators generalize the idea of a recursive function. This can be used to great effect, simplifying many definitions.
For example, here is the factorial function written in terms of y/1
:
iex> fac = fn fac ->
...> fn
...> 0 -> 0
...> 1 -> 1
...> n -> n * fac.(n - 1)
...> end
...> end
iex> factorial = y fac
iex> factorial.(9)
362880
The resulting functions will always be curried
iex> import Quark.SKI, only: [s: 3]
iex> one_run = y(&s/3)
iex> {_, arity} = :erlang.fun_info(one_run, :arity)
iex> arity
1
Summary
Functions
Alan Turing’s fix-point combinator. This is the call-by-value formulation
The famous Y-combinator. The resulting function will always be curried
A normal order fixed point
Functions
See Quark.FixedPoint.y/0
.
See Quark.FixedPoint.y/1
.
Alan Turing’s fix-point combinator. This is the call-by-value formulation.
iex> fac = fn fac ->
...> fn
...> 0 -> 0
...> 1 -> 1
...> n -> n * fac.(n - 1)
...> end
...> end
iex> factorial = turing(fac)
iex> factorial.(9)
362880
The famous Y-combinator. The resulting function will always be curried.
iex> fac = fn fac ->
...> fn
...> 0 -> 0
...> 1 -> 1
...> n -> n * fac.(n - 1)
...> end
...> end
iex> factorial = y(fac)
iex> factorial.(9)
362880
A normal order fixed point
iex> fac = fn fac ->
...> fn
...> 0 -> 0
...> 1 -> 1
...> n -> n * fac.(n - 1)
...> end
...> end
iex> factorial = z(fac)
iex> factorial.(9)
362880


| View source on GitHub |
Build a supervised_input_receiver_fn for raw features and labels.
tf.compat.v1.estimator.experimental.build_raw_supervised_input_receiver_fn
tf.compat.v2.estimator.experimental.build_raw_supervised_input_receiver_fn
tf.estimator.experimental.build_raw_supervised_input_receiver_fn( features, labels, default_batch_size=None )
This function wraps tensor placeholders in a supervised_receiver_fn with the expectation that the features and labels appear precisely as the model_fn expects them. Features and labels can therefore be dicts of tensors, or raw tensors.
features
: a dict of string to Tensor
or Tensor
.labels
: a dict of string to Tensor
or Tensor
.default_batch_size
: the number of query examples expected per batch.
Leave unset for variable batch size (recommended).A supervised_input_receiver_fn.
ValueError
: if features and labels have overlapping keys.


Flexible String Tokenization Library for TypeScript
I found this gem of a library after writing my own for a project. It was full of features, and I just didn't properly know how to implement my own. It worked, but it was... "dumb". I decided to use it in my project, and along the way, happened to convert the whole thing into TypeScript :laughing:
It was a fun exercise and really helped me understand how it worked.
Thanks for the great library rse, cheers! :beers:
Tokenizr is a small TypeScript library, providing powerful and flexible string tokenization functionality. It is intended to be be used as the underlying "lexical scanner" in a Recursive Descent based "syntax parser", but can be used for other parsing purposes, too. Its distinct features are:
Efficient Iteration:
It iterates over the input character string in a read-only and copy-less fashion.
Stacked States:
Its tokenization is based on stacked states for determining rules which can be applied.
Each rule can be enabled for one or more particular states only.
Regular Expression Matching:
Its tokenization is based on powerful Regular Expressions for matching the input string.
Match Repeating:
Rule actions can change the state and then force the repeating of
the matching process from scratch at the current input position.
Match Rejecting:
Rule actions can reject their matching at the current input position
and let subsequent rules to still match.
Match Ignoring:
Rule actions can force the matched input to be ignored (without
generating a token at all).
Match Accepting:
Rule actions can accept the matched input and provide one or even more resulting tokens.
Shared Context Data:
Rule actions (during tokenization) can optionally store and retrieve arbitrary
values to/from their tokenization context to share data between rules.
Token Text and Value:
Tokens provide information about their matched input text and can provide
a different corresponding (pre-parsed) value, too.
Debug Mode:
The tokenization process can be debugged through optional detailed
logging of the internal processing.
Nestable Transactions:
The tokenization can be split into distinct (and nestable)
transactions which can be committed or rolled back. This way the
tokenization can be incrementally stepped back and this way support
the attempt of parsing alternatives.
Token Look-Ahead:
The forthcoming tokens can be inspected, to support alternative decisions
from within the parser, based on look-ahead tokens.
$ npm install ts-tokenizr
Suppose we have a configuration file sample.cfg
:
foo {
baz = 1 // sample comment
bar {
quux = 42
hello = "hello \"world\"!"
}
quux = 7
}
Then we can write a lexical scanner in ECMAScript 6 (under Node.js) for the tokens like this:
import fs from "fs"
import Tokenizr from "ts-tokenizr"
let lexer = new Tokenizr({
debug: true
})
lexer.rule(/[a-zA-Z_][a-zA-Z0-9_]*/, (ctx, match) => {
ctx.accept("id")
})
lexer.rule(/[+-]?[0-9]+/, (ctx, match) => {
ctx.accept("number", parseInt(match[0]))
})
lexer.rule(/"((?:\\"|[^\r\n])*)"/, (ctx, match) => {
ctx.accept("string", match[1].replace(/\\"/g, "\""))
})
lexer.rule(/\/\/[^\r\n]*\r?\n/, (ctx, match) => {
ctx.ignore()
})
lexer.rule(/[ \t\r\n]+/, (ctx, match) => {
ctx.ignore()
})
lexer.rule(/./, (ctx, match) => {
ctx.accept("char")
})
let cfg = fs.readFileSync("sample.cfg", "utf8")
lexer.input(cfg)
lexer.tokens().forEach((token) => {
console.log(token.toString())
})
The output of running this sample program is:
<type: id, value: "foo", text: "foo", pos: 0, line: 1, column: 1>
<type: char, value: "{", text: "{", pos: 4, line: 1, column: 5>
<type: id, value: "baz", text: "baz", pos: 10, line: 2, column: 5>
<type: char, value: "=", text: "=", pos: 14, line: 2, column: 9>
<type: number, value: 1, text: "1", pos: 16, line: 2, column: 11>
<type: id, value: "bar", text: "bar", pos: 40, line: 3, column: 5>
<type: char, value: "{", text: "{", pos: 44, line: 3, column: 9>
<type: id, value: "quux", text: "quux", pos: 54, line: 4, column: 9>
<type: char, value: "=", text: "=", pos: 59, line: 4, column: 14>
<type: number, value: 42, text: "42", pos: 61, line: 4, column: 16>
<type: id, value: "hello", text: "hello", pos: 72, line: 5, column: 9>
<type: char, value: "=", text: "=", pos: 78, line: 5, column: 15>
<type: string, value: "hello \"world\"!", text: "\"hello \\\"world\\\"!\"", pos: 80, line: 5, column: 17>
<type: char, value: "}", text: "}", pos: 103, line: 6, column: 5>
<type: id, value: "quux", text: "quux", pos: 109, line: 7, column: 5>
<type: char, value: "=", text: "=", pos: 114, line: 7, column: 10>
<type: number, value: 7, text: "7", pos: 116, line: 7, column: 12>
<type: char, value: "}", text: "}", pos: 118, line: 8, column: 1>
<type: EOF, value: "", text: "", pos: 122, line: 9, column: 1>
If you want to combine multiple single-char plaintext tokens into a multi-char plaintext token, you can use the following code fragment:
let plaintext = ""
lexer.before((ctx, match, rule) => {
if (rule.name !== "plaintext" && plaintext !== "") {
ctx.accept("plaintext", plaintext)
plaintext = ""
}
})
lexer.rule(/./, (ctx, match) => {
plaintext += match[0]
ctx.ignore()
}, "plaintext")
lexer.finish((ctx) => {
if (plaintext !== "")
ctx.accept("plaintext", plaintext)
})
With the additional help of an Abstract Syntax Tree (AST) library like ASTy and a query library like ASTq you can write powerful Recursive Descent based parsers which parse such a token stream into an AST and then query and process the AST.
Tokenizr
This is the main API class for establishing a lexical scanner.
Constructor: Tokenizr(): Tokenizr
Create a new tokenization instance.
Method: Tokenizr#reset(): Tokenizr
Reset the tokenization instance to a fresh one by
discarding all internal state information.
Method: Tokenizr#debug(enable: Boolean): Tokenizr
Enable (or disable) verbose logging for debugging purposes.
Method: Tokenizr#input(input: String): Tokenizr
Set the input string to tokenize.
This implicitly performs a reset()
operation beforehand.
Method: Tokenizr#push(state: String): Tokenizr
Push a state onto the state stack.
Method: Tokenizr#pop(): String
Pop a state from the state stack.
The initial (aka first or lowest) stack value (default
) cannot be popped.
Method: Tokenizr#state(state: String): Tokenizr
Method: Tokenizr#state(): String
Set or get the state on the top of the state stack. Use this to
initialy start tokenizing with a custom state. The initial state is
named default
.
Method: Tokenizr#tag(tag: String): Tokenizr
Set a tag. The tag has to be matched by rules.
Method: Tokenizr#tagged(tag: String): Boolean
Check whether a particular tag is set.
Method: Tokenizr#untag(tag: String): Tokenizr
Unset a particular tag. The tag no longer will be matched by rules.
Method: Tokenizr#before(action: (ctx: ActionContext, match: Array[String], rule: { state: String, pattern: RegExp, action: Function, name: String }) => Void): Tokenizr
Configure a single action which is called directly before any rule
action (configured with Tokenizr#rule()
) is called. This can be used
to execute a common action just before all rule actions. The rule
argument is the Tokenizr#rule()
information of the particular rule
which is executed.
Method: Tokenizr#after(action: (ctx: ActionContext, match: Array[String], rule: { state: String, pattern: RegExp, action: Function, name: String }) => Void): Tokenizr
Configure a single action which is called directly after any rule
action (configured with Tokenizr#rule()
) is called. This can be used
to execute a common action just after all rule actions. The rule
argument is the Tokenizr#rule()
information of the particular rule
which is executed.
Method: Tokenizr#finish(action: (ctx: ActionContext) => Void): Tokenizr
Configure a single action which is called directly before an EOF
token is emitted. This can be used to execute a common action just
after the last rule action was called.
Method: Tokenizr#rule(state?: String, pattern: RegExp, action: (ctx: ActionContext, match: Array[String]) => Void): Tokenizr
Configure a token matching rule which executes its action
in case
the current tokenization state is one of the states (and all of the
currently set tags) in state
(by default the rule matches all states
if state
is not specified) and the next input characters match
against the pattern
. The exact syntax of state
is
<state>[ #<tag> #<tag> ...][, <state>[ #<tag> #<tag> ...], ...]
, i.e.,
it is one or more comma-separated state matches (OR-combined) and each state
match has exactly one state and zero or more space-separated tags
(AND-combined). The ctx
argument provides a context object for token
repeating/rejecting/ignoring/accepting, the match
argument is the
result of the underlying RegExp#exec
call.
Method: Tokenizr#token(): Tokenizr.Token
Get the next token from the input. Internally, the
current position of the input is matched against the
patterns of all rules (in rule configuration order). The first rule
action which accepts the matching leads to the token.
Method: Tokenizr#tokens(): Array[Tokenizr.Token]
Tokenizes the entire input and returns all the corresponding tokens.
This is a convenience method only. Usually one takes just single
tokens at a time with Tokenizr#token()
.
Method: Tokenizr#skip(next?: Number): Tokenizr
Get and discard the next
number of following tokens with Tokenizr#token()
.
Method: Tokenizr#consume(type: String, value?: String): Tokenizr
Match (with Tokenizr.Token#isA
) the next token. If it matches
type
and optionally also value
, consume it. If it does not match,
throw a Tokenizr.ParsingError
. This is the primary function used in
Recursive Descent parsers.
Method: Tokenizr#peek(offset?: Number): Tokenizr.Token
Peek at the following token at the (0-based) offset without consuming
the token. This is the secondary function used in Recursive Descent
parsers.
Method: Tokenizr#begin(): Tokenizr
Begin a transaction. Until Tokenizr#commit()
or
Tokenizr#rollback()
are called, all consumed tokens will
be internally remembered and be either thrown away (on
Tokenizr#commit()
) or pushed back (on Tokenizr#rollback()
). This
can be used multiple times and this way supports nested transactions.
It is intended to be used for tokenizing alternatives.
Method: Tokenizr#depth(): Number
Return the number of already consumed tokens in the currently
active transaction. This is useful if multiple alternatives
are parsed and in case all failed, to report the error for
the most specific one, i.e., the one which consumed most tokens.
Method: Tokenizr#commit(): Tokenizr
End a transaction successfully. All consumed tokens are finally gone.
Method: Tokenizr#rollback(): Tokenizr
End a transaction unsuccessfully. All consumed tokens are pushed back
and can be consumed again.
Method: Tokenizr#alternatives(...alternatives: Array[() => any]): any
Utility method for parsing alternatives. It internally executes the
supplied callback functions in sequence, each wrapped into its own
transaction. The first one which succeeds (does not throw an exception
and returns a value) leads to the successful result. In case all
alternatives failed (all throw an exception), the exception of the
most-specific alterative (the one with the largest transaction depth)
is re-thrown. The this
in each callback function points to the
Tokenizr
object on which alternatives
was called.
Method: Tokenizr#error(message: String): Tokenizr.ParsingError
Returns a new instance of Tokenizr.ParsingError
, based
on the current input character stream position, and with
Tokenizr.ParsingError#message
set to message
.
Tokenizr.Token
This is the class of all returned tokens.
Property: Tokenizr.Token#type: String
The type of the token as specified on Tokenizr.ActionContext#accept()
.
Property: Tokenizr.Token#value: any
The value of the token. By default this is the same as
Tokenizr.Token#text
, but can be any pre-processed value
as specified on Tokenizr.ActionContext#accept()
.
Property: Tokenizr.Token#text: String
The corresponding input text of this token.
Property: Tokenizr.Token#pos: Number
The (0-based) position in the input.
Property: Tokenizr.Token#line: Number
The (1-based) line number in the input.
Property: Tokenizr.Token#column: Number
The (1-based) column number in the input.
Method: Tokenizr.Token#toString(): String
Returns a formatted representation of the token,
usually for debugging or tracing purposes only.
Method: Tokenizr.Token#isA(type: String, value?: any): String
Checks whether token matches against a particular type
and optionally
a particular value
. This is especially used internally by
Tokenizr#consume()
.
Tokenizr.ParsingError
This is the class of all thrown exceptions related to parsing.
Property: Tokenizr.ParsingError#name: String
Always just the string ParsingError
to be complaint to
the JavaScript Error
class specification.
Property: Tokenizr.ParsingError#message: String
The particular error message.
Property: Tokenizr.ParsingError#pos: Number
The (0-based) position in the input.
Property: Tokenizr.ParsingError#line: Number
The (1-based) line number in the input.
Property: Tokenizr.ParsingError#column: Number
The (1-based) column number in the input.
Property: Tokenizr.ParsingError#input: String
The total input itself.
Method: Tokenizr.ParsingError#toString(): String
Returns a formatted representation of the error,
usually for convenient error displaying purposes.
Tokenizr.ActionContext
This is the class of all rule action contexts.
Method: Tokenizr.ActionContext#data(key: String, value?: any): any
Store or retrieve any user data (indexed by key
) to the action
context for sharing data between two or more rules.
Method: Tokenizr.ActionContext#info(): { line: number, column: number, pos: number, len: number }
Retrieve information about the current matching.
Method: Tokenizr.ActionContext#push(state: String): Tokenizr
Method: Tokenizr.ActionContext#pop(): String
Method: Tokenizr.ActionContext#state(state: String): Tokenizr.ActionContext
Method: Tokenizr.ActionContext#state(): String
Method: Tokenizr.ActionContext#tag(tag: String): Tokenizr.ActionContext
Method: Tokenizr.ActionContext#tagged(tag: String): Boolean
Method: Tokenizr.ActionContext#untag(tag: String): Tokenizr.ActionContext
Methods just passed-through to the attached Tokenizr
object. See above for details.
Method: Tokenizr.ActionContext#repeat(): Tokenizr.ActionContext
Mark the tokenization process to repeat the matching at the current
input position from scratch. You first have to switch to a different
state with Tokenizr.ActionContext#state()
or this will lead to an endless loop, of course!
Method: Tokenizr.ActionContext#reject(): Tokenizr.ActionContext
Mark the current matching to be rejected. The tokenization process
will continue matching following rules.
Method: Tokenizr.ActionContext#ignore(): Tokenizr.ActionContext
Mark the current matching to be just ignored. This is usually
used for skipping whitespaces.
Method: Tokenizr.ActionContext#accept(type: String, value?: any): Tokenizr.ActionContext
Accept the current matching and produce a token of type
and
optionally with a different value
(usually a pre-processed variant
of the matched text). This function can be called multiple times to
produce one or more distinct tokens in sequence.
Method: Tokenizr.ActionContext#stop(): Tokenizr.ActionContext
Immediately stop entire tokenization. After this the
Tokenizr#token()
method immediately starts to return null
.
The pattern
passed to Tokenizr.{before,after,rule}()
has to be a
regular JavaScript RegExp
objects. Internally, Tokenizr creates a copy
of this object by skipping its g
(global) and y
(sticky) flags and
taking over its m
(multiline), s
(dotAll), i
(ignoreCase), and u
(unicode) flags.
Although Tokenizr is written in ECMAScript 6, it is transpiled to ECMAScript 5 and this way runs in really all(!) current (as of 2015) JavaScript environments, of course.
Internally, Tokenizr scans the input string in a read-only fashion
by leveraging RegExp
's g
flag (global, for ECMAScript <= 5
environments) or y
flag (sticky, for ECMAScript >= 2015 environments)
in combination with RegExp
's lastIndex
field.
The following alternatives are known:
moo: A very powerful tokenizer/lexer. It provides nearly the same functionality than Tokenizr. In addition, it compiles all regular expressions into a single one and hence is one of the fastest tokenizers/lexers.
flex-js A medium powerful tokenizer/lexer. It provides nearly the same functionality than Tokenizr.
lex: A tokenizer/lexer, modeled after the popular C solution Flex. This small library is similar in spirit, but not as flexible as it does not provide state supports.
Copyright (c) 2015-2020 Dr. Ralf S. Engelschall (http://engelschall.com/)
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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