 The cast includes Suzy Amis, David Chung, Bo Hopkins, Ian McKellen, Carrie Snodgrass, and Rene Auberjonois. Rated R for violence and sex scenes.
THE BALLAD OF LITTLE JO is based the life of Josephine/Joe Monaghan, a woman who spent her life in the frontier mining districts of Idaho as a man. Josephine was expelled from her wealthy Eastern family for having a baby out of wedlock. She drifts out West and soon discovers, almost too late, that a woman without a male protector is a victim in the making. After being betrayed and narrowly escaping a gang rape, she finds the only ready-to-wear clothes available are men's and thus almost casually begins a lifetime role as a cross-dresser. The historical Little Jo is mostly unknown, but she did become a cowboy in Owyhee County, Idaho. She was thought to be "odd" for her stand-offish attitudes to drinking and whoring, but enjoyed some respect for her horsemanship. Her secret was discovered only upon her death. (See THE COWGIRL COMPANION by Gail Gilchriest for information about Little Jo and the other known female cross-dressers of the Old West, as well as women in the West in general.)
One should note en passant that the phenomenon of women assuming men's clothes and men's roles is by no means either extinct nor unnecessary even in today's society. I have a friend who says she feels she loses all her personal power if she wears women's clothes--even women's jeans, instead of men's. And it is still difficult for women to pursue full careers in many fields--director Greenwald suggested in a New York Times article--"whether it's playing jazz or directing films or flying planes. Then there's being president of the United States." And there is the locally famous case of Billy Tipton, the American jazz pianist and saxophonist, who upon his death in 1989 in Spokane, was discovered to be a woman and who originally assumed a man's persona to get ahead in jazz.
However, the pressure to pass a man was even greater in the last century than in this one. Even wearing clothes "inappropriate to one's sex" was illegal throughout the states and territories. On the other hand, the mere act of wearing pants might well have been enough to let a woman pass as a man, the sight was so unthinkable to most people that they appear to have been blinded to any other possibility.
And it is to everyone's credit that Suzy Amis--even though she never really convinces us--is presented without mascara or lip gloss--unlike Barbra Steisand in YENTL or Julie Andrews in VICTOR/VICTORIA. Amis worked with voice and movement coaches and pumped iron and learned to shoot and herd sheep on location in the Red Lodge country of Montanta. Amis does an admirable job as Little Jo, giving us little hints that help flesh out a character that is by the nature of her situation strong, silent, and unable to talk about herself. Josephine was something of a rebel even back in Buffalo and that streak helped set the direction of her life as Joe. Amis gives us a performance that is full of surprises, entirely as original as the character she plays.
Amis's fellow actors provide strong backup for her, especially Rene Auberjonois as the peddler, Ian McKellan as the complex, contradictory, alcoholic cabinmate who first teaches Joe about surviving in the West, beautiful David Chung as Tinman (Tienman) the Chinese man who helps set her free to be a complete person again, and Bo Hopkins as the bigotted, violent, good-hearted neighbor who wants to be Joe's friend and who can never quite gap the distance between them. All are excellent and pretty much represent the range of the types of male characters in the film. The film's view of men is as complex as anything else in it.
Complementing this excellent cast are the cinematography of Declan Quinn and the music of David Mansfield. Quinn gives a full, lush look at the panoramic as well as the close-up beauties of the intermountain West, in addition to interior work that looks like available light--the beauty of sunshine through a cabin window or the murk of a cold and grimy tavern/whorehouse. Mansfield's music is charming and appropriate throughout, picking up folk and ethnic themes, but never overwhelming the scenes.
But clearly the real star of LITTLE JO is writer/director Maggie Greenwald. Greenwald has worked carefully and imaginatively within her limited budget to give us a rich and full realized film. I liked this film even more than I did the excellent 1000 PIECES OF GOLD, Nancy Kelly's film about Lalu Nathoy (Rosalyn Chao), the Chinese woman sold into slavery and prostitution who made a life for herself in Idaho. Both stories, based in Western history, have their points of similarity, but in terms of treatment LITTLE JO has the more polished look and feel. My only quibble is that the final scenes of death and discovery do not feel entirely necessary and drag out an excellent film to an ending that seems to put the final emphasis on Bo Hopkins instead of Suzy Amis. I think an epilog would have been well used here.
However, THE BALLARD OF LITTLE JO is a first-rate film and I recommend it without reservation to all of you.
-- Frank Richard Aloysius Jude Maloney .
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.
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Related links: index of all rec.arts.movies.reviews reviews


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Kind Attn: CEO/ Manager Director Supply Quality China's EXCLUSIVE dimensions at Unbeatable Price. Dear Sir, We are pleased to inform you as one of China's largest export & import stone company-Wanlistone Group, The Group its subsidiaries specialize in the quarrying, processing and Sales of dimension stone, slab and tiles and dimension stone products for the building materials sector and specialty markets. The Group operations are based in Xiamen, South of China, which is the largest export and import business portals in China where Wanlistone owns and operates various natural stone deposits with 6,000 square meters through the country. In addition to the quarries Wanlistone has a fully automated processing plant for the processing of the granite and marble and granite products. Wanlistone supplies granite in raw block form, granite and marble tile and strips of varying dimension, memorial materials and specialty products to both the local but more specifically the export markets. The Group has a full rang of the China natural stone products including Pink color G636, G617, G635, G663, Yellow color, G682,Dark G654, Black G684. Light Grey: Imperial Grey, Huaan Grey. Wanlistone owns and operates all its own quarries, including North Black, Huana White, Butterfly Blue, and Golden Beige. All block production is sold to both the local and international markets. The Group is very price competitive on all its products due to its low overhead structure. All blocks are ideally produced for gang saw processing and dimension of 240 x 120 are standard. Smaller blocks are also available for selection We will feel it an honour if we could serve you and welcome your inquiry in our products. Looking forward to hearing from you soonest. Sincerely yours, Sales Department XIAMEN WANLI STONE GROUP, 8 F Fortune Building , 201 North Hubin Rd, Xiamen 361012, P.R.China. Tel:+86-592 -5081199 Fax:+86-592-5620 971 Web site: www.wanli.com <http://www.wanli.com> ------------------------------------------------------------------------------------------------------ Company profile: Established in 1985 Located in Xiamen as No.1 port of stone Exp.& Imp. Total assets: US$10Million Turnover of export in 2003: US$0.28 billion Advantages in China: The No.1 professional & over-sized stone group at present, its business are associated with import & export t, processing and manufacturing, and quarrying. One of the largest exporters of stone products One of the leading importers of stone blocks from the world Group structure: XIAMEN WANISTONE as headquarter of operation and management, total 9 business departments, 1 design department, 1 resource development section of which, Subsidiary company list: 1.XIAMEN ORITENT WANLISTONE COMPANY, a joint venture with MARLING and DORKING in South African, specializes in all types of stone blocks worldwide. And two blocks depots of 6,000 square meter. 2.AMERICA SINASTONE CO.,LTD, a professional supplier of all kinds of monuments business in USA market place 3.SOUTH AFRICA WANLINSTONE CO., LTD, a factory invested with MARLING and DORKING, is to process special monuments, slab and tiles Own Factories list 1.XIAMEN WANLISTONE CO, LTD, with 8 modern high speed granite gang saws, Gaspari Menotti, , 2 sets marble gang saws, 30 sets circular saws, for slab, tile and all profile stone finish 2.XIAMEN WANLISTONE CRAFT CO, LTD, Monuments is key. 3.LINGFONG WANLISTONE FACTORY IN QUANZHOU CITY, Monuments is key. 4.TIANJING WANLISTONE FACTORY in north of China, Slab + Monuments produced 5.HUNAN HUAJIAN FACTORY in Hunan, Granite slab + tile available Own quarries list 1．IMPERIAL GREY，located in HUNAN province 2．NORTH BLACK，Located in SHANXI province 3．HUNAN WHITE ， located in HUNAN province 4．BUTTERFLY BLUE ，Located in LEMONGGU province 5．GOLDEN BEIGE ，Located in SHANXI province Key market: Japan 50% USA 15% EU 20% China 15% Products involve construction materials, monuments and stone finishes. World stone connecting Very good connecting with the famous stone companies as for growth up together.


PMCO Fall Split 2019, Prelims Day 2 Match 10: IND finishes #13, INS finishes #11, Mega Esports wins Game 10
by KuldeepPMCO Fall Split 2019 Prelims for Global Finals are being held in Kuala Lumpur, Malaysia. The 10th match of Prelims Day 2 took place in the map Erangel, from a third-person perspective. The flight path for this match started from the north part of the map and went towards the south-west part of the map. The first play-zone formed near the near side of the map, and it circled hot-priority locations such as Rozhok, Stalbar, and Zharki.
SynerGE and Asterion dropped in Zharki setting up for an early team fight. SynerGE secured the first kill which forced Asterion to flee from the scene. The two Indian giants SynerGE and INS clashed near the ridge where INS landed the initial blow by eliminating Majoralpha. Even though SynerGE lost a member, they outsmarted INS securing two kills in return. However, GoSkilla joined the battle, making it a triple threat. SynerGE was wiped out in the chaos while GoSkilla and INS retaliated from the scene. Mega Esports, Red Canids and Bigetron made it to the last zone where Mega Esports had a 3 man advantage on both the teams. This was enough for Mega Esports to secure its fourth Chicken Dinner of PMCO Fall Split Prelims.
Match 10- Erangel TPP
- Mega Esports: 9 kills and 29 points
- Bigetron RA: 8 kills and 18 points
- Red Canids: 1 kills and 15 points


--- title: Cell lines and data browser layout: null permalink: /lines/ redirect_from: /data_freeze_20140604/ ---
The HipSci data portal for searching all cell lines and donors


Exchange servers can be high value targets in an AD environment
Exchange has a broad ‘attack surface’ owing to the number of external interfaces. Email is a prime one and a number of vulnerabilities have been reported in internal email parsers that would give code execution in Exchange itself. A notably amusing example can be found here. It has also recently been found that the ability to set complex message handling rules can be abused to gain code execution on workstations.
Outlook Web Access (OWA) and a number of issues have been reported in this service over the years.


- SAVE - Static variable in class miscellaneous.constants.Application.Icons
-
- saveJson() - Method in class userinterface.views.StartWindow
-
Save JSON-data.
- SCISSORS - Static variable in class miscellaneous.constants.Application.Icons
-
- SEARCH - Static variable in class miscellaneous.constants.Application.Icons
-
- select() - Method in class userinterface.fragments.OperationFragment
-
Is called when item is selected, changes look.
- select() - Method in class userinterface.fragments.StartWindowLog
-
Is called when item is selected, changes look.
- select() - Method in class userinterface.fragments.StartWindowOutput
-
Is called when item is selected, changes look.
- select() - Method in class userinterface.fragments.StartWindowToolbox
-
Is called when item is selected, changes look.
- select() - Method in class userinterface.fragments.StartWindowVisualEdit
-
Is called when item is selected, changes look.
- select() - Method in class userinterface.fragments.ToolboxFragment
-
Is called when item is selected, changes look.
- select() - Method in class userinterface.fragments.VisualEditFragment
-
Is called when item is selected, changes look.
- select() - Method in interface userinterface.interfaces.ISelectable
-
- SelectionActionType - Enum in userinterface.enums
-
SelectionActionType Enum, either ADD or REMOVE.
- SelectionActionType() - Constructor for enum userinterface.enums.SelectionActionType
-
- SelectionType - Enum in userinterface.enums
-
SelectionType Enum, which can be used for referring to UI-monitoring.
- SelectionType() - Constructor for enum userinterface.enums.SelectionType
-
- SEND - Static variable in class miscellaneous.constants.Application.Icons
-
- SERVER - Static variable in class miscellaneous.constants.Application.Icons
-
- setColor(Color) - Method in class userinterface.fragments.ToolboxFragment
-
- setLayout() - Method in class userinterface.fragments.StartWindowTopBar
-
Set layout.
- setLeftWidth(int) - Method in class userinterface.fragments.DoubleListingFragment
-
Set left object stack width.
- setLogVisible(boolean) - Method in class userinterface.fragments.StartWindowLog
-
Set log to boolean visible.
- setOutputVisible(boolean) - Method in class userinterface.fragments.StartWindowContent
-
Set output to boolean visible.
- setRightWidth(int) - Method in class userinterface.fragments.DoubleListingFragment
-
Set right object stack width.
- SETTINGS - Static variable in class miscellaneous.constants.Application.Icons
-
- setToolbox(ArrayList<ToolboxItem>) - Method in class userinterface.fragments.StartWindowToolbox
-
Set ArrayList of ToolboxItems.
- setToolboxVisible(boolean) - Method in class userinterface.fragments.StartWindowContent
-
Set toolbox to boolean visible.
- setVisualEditVisible(boolean) - Method in class userinterface.fragments.StartWindowContent
-
Set visualEdit to boolean visible.
- SHARE - Static variable in class miscellaneous.constants.Application.Icons
-
- SHARE_2 - Static variable in class miscellaneous.constants.Application.Icons
-
- SHIELD - Static variable in class miscellaneous.constants.Application.Icons
-
- SHIELD_OFF - Static variable in class miscellaneous.constants.Application.Icons
-
- SHOPPING_BAG - Static variable in class miscellaneous.constants.Application.Icons
-
- SHOPPING_CART - Static variable in class miscellaneous.constants.Application.Icons
-
- show() - Method in interface userinterface.interfaces.IHideable
-
- show() - Method in class userinterface.popups.LogPopup
-
Show the popup window.
- show() - Method in class userinterface.popups.OperationPopup
-
Show the popup window.
- show() - Method in class userinterface.popups.PopupBrowser
-
Show the popup window.
- show() - Method in class userinterface.popups.PreferencesPopup
-
Show the popup window.
- show() - Method in class userinterface.popups.Splashscreen
-
Start the animation.
- SHUFFLE - Static variable in class miscellaneous.constants.Application.Icons
-
- SIDEBAR - Static variable in class miscellaneous.constants.Application.Icons
-
- SKIP_BACK - Static variable in class miscellaneous.constants.Application.Icons
-
- SKIP_FORWARD - Static variable in class miscellaneous.constants.Application.Icons
-
- SLACK - Static variable in class miscellaneous.constants.Application.Icons
-
- SLASH - Static variable in class miscellaneous.constants.Application.Icons
-
- SLIDERS - Static variable in class miscellaneous.constants.Application.Icons
-
- SMARTPHONE - Static variable in class miscellaneous.constants.Application.Icons
-
- SMILE - Static variable in class miscellaneous.constants.Application.Icons
-
- SPEAKER - Static variable in class miscellaneous.constants.Application.Icons
-
- SplashScreen() - Constructor for class miscellaneous.constants.Application.Stages.SplashScreen
-
- Splashscreen - Class in userinterface.popups
-
Splashscreen window.
- Splashscreen(ISplashscreen) - Constructor for class userinterface.popups.Splashscreen
-
Constructs Splashscreen.
- SPLASHSCREEN_HEIGHT - Static variable in class miscellaneous.constants.Application.Stages.SplashScreen
-
- SPLASHSCREEN_WIDTH - Static variable in class miscellaneous.constants.Application.Stages.SplashScreen
-
- SQUARE - Static variable in class miscellaneous.constants.Application.Icons
-
- stage - Static variable in class main.Main
-
- Stages() - Constructor for class miscellaneous.constants.Application.Stages
-
- STAR - Static variable in class miscellaneous.constants.Application.Icons
-
- start(Stage) - Method in class main.Main
-
- StartWindow - Class in userinterface.views
-
Controller main class of the FX-application.
- StartWindow() - Constructor for class userinterface.views.StartWindow
-
Constructs the window.
- StartWindowContent - Class in userinterface.fragments
-
Builds the startup (main) window of the application.
- StartWindowContent() - Constructor for class userinterface.fragments.StartWindowContent
-
Construct fragment.d
- StartWindowLog - Class in userinterface.fragments
-
Create the log which displays application information and messages.
- StartWindowLog() - Constructor for class userinterface.fragments.StartWindowLog
-
Construct view.
- StartWindowOutput - Class in userinterface.fragments
-
Create the JSON-output (code) window.
- StartWindowOutput() - Constructor for class userinterface.fragments.StartWindowOutput
-
Construct the window.
- StartWindowToolbox - Class in userinterface.fragments
-
Create the toolbox view window, which displays all actions from the JSON-protocol.
- StartWindowToolbox() - Constructor for class userinterface.fragments.StartWindowToolbox
-
Construct the toolbox window.
- StartWindowTopBar - Class in userinterface.fragments
-
Generates the application top-bar (menu).
- StartWindowTopBar() - Constructor for class userinterface.fragments.StartWindowTopBar
-
Construct the top-bar window.
- StartWindowVisualEdit - Class in userinterface.fragments
-
Visual Edit window.
- StartWindowVisualEdit() - Constructor for class userinterface.fragments.StartWindowVisualEdit
-
Constructs the VisualEdit Fragment.
- State() - Constructor for class miscellaneous.constants.Application.State
-
- STOP_CIRCLE - Static variable in class miscellaneous.constants.Application.Icons
-
- Strings() - Constructor for class miscellaneous.constants.Application.Strings
-
- SUCCESS_CONFIGURATION_READ - Static variable in class miscellaneous.constants.Application.Messages
-
- SUN - Static variable in class miscellaneous.constants.Application.Icons
-
- SUNRISE - Static variable in class miscellaneous.constants.Application.Icons
-
- SUNSET - Static variable in class miscellaneous.constants.Application.Icons
-
- systemConfiguration - Variable in class miscellaneous.utilities.SystemConfigurationReader
-
- SystemConfigurationDecoder - Class in miscellaneous.utilities
-
The SystemConfigurationDecoder attempts to decode the Toolbox-items JSON-file.
- SystemConfigurationDecoder(File) - Constructor for class miscellaneous.utilities.SystemConfigurationDecoder
-
Construct a SystemConfigurationReader.
- SystemConfigurationDecoder.DecodeStatus - Enum in miscellaneous.utilities
-
DecodeStatus which can be either SUCCESS or ERROR.
- SystemConfigurationReader - Class in miscellaneous.utilities
-
The SystemConfigurationReader attempts to find a JSON-data file from disk.
- SystemConfigurationReader(String) - Constructor for class miscellaneous.utilities.SystemConfigurationReader
-
Construct a SystemConfigurationReader.
- SystemConfigurationReader.FileStatus - Enum in miscellaneous.utilities
-
The FileStatus can either be FOUND, NOT_FOUND, or IO_EXCEPTION.


Welcome to Cat Wars!
Think you got what it takes to slang cats on the black market in Seattle? You’ll find out when you take a run at glory in Cat Wars!
OBJECT OF THE GAME: Travel through the city in one week and make $5,000 or more through the illegal cat trading market and you win!  Or man. Let's call it person. Regardless, you lose and are subject to cat shaming.
  You need $5,000 at the end of the week to conquer the cat market and win the game.
Changing a 'hood' exhausts your turns for the day which effectively moves you to the next day, so use this option wisely. Cats are assigned different values varying by neighborhood and type of cat. You can go negative in yo' purse, but remember you've only got a week to make dat cheddah by slangin dem' Garfields! Good luck and happy cat slangin’!
*No cats were harmed in the making of this game


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| PREV NEXT | FRAMES NO FRAMES |
| Classes in soot.toolkits.graph used by soot | |
|---|---|
| Block
Represents BasicBlocks that partition a method body. |
|
| SlowPseudoTopologicalOrderer
Provide the pseudo topological order of a graph's nodes. |
| Classes in soot.toolkits.graph used by soot.dava.internal.asg | |
|---|---|
| BriefUnitGraph
Represents a CFG where the nodes are Unit instances, and where no edges are included to account for control flow associated with exceptions. |
|
| DirectedGraph
Defines the notion of a directed graph. |
|
| TrapUnitGraph
Represents a CFG for a Body instance where the nodes are
Unit instances, and where, in additional to unexceptional
control flow edges, edges are added from every trapped Unit to the Trap 's handler Unit , regardless
of whether the trapped Unit s may actually throw the
exception caught by the Trap . |
| Classes in soot.toolkits.graph used by soot.jbco.bafTransformations | |
|---|---|
| BriefUnitGraph
Represents a CFG where the nodes are Unit instances, and where no edges are included to account for control flow associated with exceptions. |
| Classes in soot.toolkits.graph used by soot.jbco.jimpleTransformations | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
| Classes in soot.toolkits.graph used by soot.jbco.util | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
|
| TrapUnitGraph
Represents a CFG for a Body instance where the nodes are
Unit instances, and where, in additional to unexceptional
control flow edges, edges are added from every trapped Unit to the Trap 's handler Unit , regardless
of whether the trapped Unit s may actually throw the
exception caught by the Trap . |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.annotation.logic | |
|---|---|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.annotation.nullcheck | |
|---|---|
| ExceptionalUnitGraph
Represents a control flow graph for a Body instance
where the nodes are Unit instances, and where control flow
associated with exceptions is taken into account. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.annotation.parity | |
|---|---|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.annotation.purity | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.callgraph | |
|---|---|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.infoflow | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
|
| HashMutableDirectedGraph
HashMap based implementation of a MutableBlockGraph. |
|
| MutableDirectedGraph
Defines a DirectedGraph which is modifiable. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.pointer | |
|---|---|
| BriefUnitGraph
Represents a CFG where the nodes are Unit instances, and where no edges are included to account for control flow associated with exceptions. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.scalar | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.scalar.pre | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.thread | |
|---|---|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.thread.mhp | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.thread.mhp.findobject | |
|---|---|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.thread.mhp.pegcallgraph | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.thread.mhp.stmt | |
|---|---|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.jimple.toolkits.thread.synchronization | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
|
| MutableDirectedGraph
Defines a DirectedGraph which is modifiable. |
|
| MutableEdgeLabelledDirectedGraph
Defines a DirectedGraph which is modifiable and associates a label object with every edge. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.shimple | |
|---|---|
| Block
Represents BasicBlocks that partition a method body. |
|
| BlockGraph
Represents the control flow graph of a Body at the basic
block level. |
|
| DominanceFrontier
Interface to compute and/or store the dominance frontiers of nodes in a dominator tree. |
|
| DominatorsFinder
General interface for a dominators analysis. |
|
| DominatorTree
Constructs a dominator tree structure from the given DominatorsFinder. |
|
| ReversibleGraph
DirectedGraph which can be reversed and re-reversed. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.shimple.internal | |
|---|---|
| Block
Represents BasicBlocks that partition a method body. |
|
| BlockGraph
Represents the control flow graph of a Body at the basic
block level. |
|
| DominanceFrontier
Interface to compute and/or store the dominance frontiers of nodes in a dominator tree. |
|
| DominatorTree
Constructs a dominator tree structure from the given DominatorsFinder. |
|
| ReversibleGraph
DirectedGraph which can be reversed and re-reversed. |
| Classes in soot.toolkits.graph used by soot.shimple.toolkits.graph | |
|---|---|
| BlockGraph
Represents the control flow graph of a Body at the basic
block level. |
| Classes in soot.toolkits.graph used by soot.toolkits.exceptions | |
|---|---|
| ExceptionalUnitGraph
Represents a control flow graph for a Body instance
where the nodes are Unit instances, and where control flow
associated with exceptions is taken into account. |
| Classes in soot.toolkits.graph used by soot.toolkits.graph | |
|---|---|
| Block
Represents BasicBlocks that partition a method body. |
|
| BlockGraph
Represents the control flow graph of a Body at the basic
block level. |
|
| BriefUnitGraph
Represents a CFG where the nodes are Unit instances, and where no edges are included to account for control flow associated with exceptions. |
|
| ClassicCompleteUnitGraph
Represents a CFG for a Body instance where the nodes are Unit instances, and where edges are a conservative
indication of unexceptional and exceptional control
flow. |
|
| DirectedGraph
Defines the notion of a directed graph. |
|
| DominanceFrontier
Interface to compute and/or store the dominance frontiers of nodes in a dominator tree. |
|
| DominatorNode
Represents a dominator node in DominatorTree. |
|
| DominatorsFinder
General interface for a dominators analysis. |
|
| DominatorTree
Constructs a dominator tree structure from the given DominatorsFinder. |
|
| ExceptionalBlockGraph
Represents a CFG where the nodes are Block s and the
edges are derived from control flow. |
|
| ExceptionalBlockGraph.ExceptionDest
|
|
| ExceptionalGraph
Defines the interface for navigating a control flow graph which distinguishes exceptional control flow. |
|
| ExceptionalGraph.ExceptionDest
Data structure to represent the fact that a given Trap will catch some subset of the exceptions
which may be thrown by a given graph node. |
|
| ExceptionalUnitGraph
Represents a control flow graph for a Body instance
where the nodes are Unit instances, and where control flow
associated with exceptions is taken into account. |
|
| ExceptionalUnitGraph.ExceptionDest
|
|
| HashMutableDirectedGraph
HashMap based implementation of a MutableBlockGraph. |
|
| MHGDominatorsFinder
Calculate dominators for basic blocks. |
|
| MutableDirectedGraph
Defines a DirectedGraph which is modifiable. |
|
| MutableEdgeLabelledDirectedGraph
Defines a DirectedGraph which is modifiable and associates a label object with every edge. |
|
| Orderer
An orderer builds an order on a directed, not necessarily acyclic, graph. |
|
| PseudoTopologicalOrderer
Orders in pseudo-topological order, the nodes of a DirectedGraph instance. |
|
| ReversibleGraph
DirectedGraph which can be reversed and re-reversed. |
|
| SlowPseudoTopologicalOrderer
Provide the pseudo topological order of a graph's nodes. |
|
| TrapUnitGraph
Represents a CFG for a Body instance where the nodes are
Unit instances, and where, in additional to unexceptional
control flow edges, edges are added from every trapped Unit to the Trap 's handler Unit , regardless
of whether the trapped Unit s may actually throw the
exception caught by the Trap . |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.toolkits.graph.interaction | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
| Classes in soot.toolkits.graph used by soot.toolkits.graph.pdg | |
|---|---|
| Block
Represents BasicBlocks that partition a method body. |
|
| BlockGraph
Represents the control flow graph of a Body at the basic
block level. |
|
| DirectedGraph
Defines the notion of a directed graph. |
|
| DominatorNode
Represents a dominator node in DominatorTree. |
|
| DominatorsFinder
General interface for a dominators analysis. |
|
| DominatorTree
Constructs a dominator tree structure from the given DominatorsFinder. |
|
| HashMutableEdgeLabelledDirectedGraph
|
|
| MutableEdgeLabelledDirectedGraph
Defines a DirectedGraph which is modifiable and associates a label object with every edge. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.toolkits.scalar | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
|
| Orderer
An orderer builds an order on a directed, not necessarily acyclic, graph. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.util | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
|
| ExceptionalGraph
Defines the interface for navigating a control flow graph which distinguishes exceptional control flow. |
|
| UnitGraph
Represents a CFG where the nodes are Unit instances and
edges represent unexceptional and (possibly) exceptional control
flow between Units. |
| Classes in soot.toolkits.graph used by soot.util.cfgcmd | |
|---|---|
| DirectedGraph
Defines the notion of a directed graph. |
|
| ExceptionalGraph
Defines the interface for navigating a control flow graph which distinguishes exceptional control flow. |
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES |


23 Use appropriate names
- Increased readability
- Less error-prone
- Follow the google java naming conventions
- If the project has a standart, always follow that
- Avoid m prefix, I don't see any real reason to use it
- Avoid abbrevations. ie: Don't use ll for linearlayout. Use container prefix. containerMain
google-code-style


TensorFlow is a low-level library that we can use to implement machine learning algorithms. Unlike scikit, TensorFlow does not have any ready to use algorithms, Instead, TensorFlow provides the building blocks to implement the algorithms we need. TensorFlow is especially great for implement deep learning algorithms and working with large datasets since it allows us to take advantage of GPU's for training our models.
Let's create a neural network that predicts future prices given past prices. We'll build our network with TensorFlow and then train it using historical data. We can then test our model by visualizing its predictions against actual historical prices. First, we'll need to retrieve historical data for SPY.
import tensorflow as tf qb = QuantBook() spy = qb.AddEquity("SPY").Symbol # retrieve close data data = qb.History(spy, datetime(2020, 6, 22), datetime(2020, 6, 27), Resolution.Minute).loc[spy].close
We'll feed our network the last 5 close prices to predict the next close. Let's format our data into our input dataframe X by offsetting our historical close prices.
# Feeding 5 input past prices to predict the next price lookback = 5 # Series to hold each set of input prices lookback_series = [] # Offsetting close data by length of lookback for i in range(1, lookback + 1): df = data.shift(i)[lookback:-1] df.name = f"close_-{i}" lookback_series.append(df) # Formatting offset data into input format X = pd.concat(lookback_series, axis=1).reset_index(drop=True)
Since we'd like to predict the closing price of SPY 1 timestep into the future, we should create a dataframe containing this data. This will serve as our neural network's training and testing output Y.
# Shift our time series close data by 1 Y = data.shift(-1)[lookback:-1].reset_index(drop=True)
We can then split our data into training and testing sets using scikit-learn's train_test_split
. We will use the training set to train our model and then assess the network's predictions against the test data. Let's use a third of our data to test and the remaining to train our model.
# import scikit-learn's train_test_split method from sklearn.model_selection import train_test_split # split historical data into training and testing sets X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.33, shuffle=False)
Let's build a neural network with 3 hidden layers and an output layer. We'll have 32 neurons in our first layer, 16 in our second, and 8 in our third layer.
# Initialize a tensorflow graph object tf.reset_default_graph() sess = tf.Session() # parameters for our neural network num_factors = X_test.shape[1] num_neurons_1 = 32 num_neurons_2 = 16 num_neurons_3 = 8 # Placeholders for our inputs and outputs X = tf.placeholder(dtype=tf.float32, shape=[None, num_factors], name='X') Y = tf.placeholder(dtype=tf.float32, shape=[None])
Next, we can build our model layer by layer. We will need a set of weights and biases for each layer.
# Initializers weight_initializer = tf.variance_scaling_initializer(mode="fan_avg", distribution="uniform", scale=1) bias_initializer = tf.zeros_initializer() # Hidden weights W_hidden_1 = tf.Variable(weight_initializer([num_factors, num_neurons_1])) bias_hidden_1 = tf.Variable(bias_initializer([num_neurons_1])) W_hidden_2 = tf.Variable(weight_initializer([num_neurons_1, num_neurons_2])) bias_hidden_2 = tf.Variable(bias_initializer([num_neurons_2])) W_hidden_3 = tf.Variable(weight_initializer([num_neurons_2, num_neurons_3])) bias_hidden_3 = tf.Variable(bias_initializer([num_neurons_3])) # Output weights W_out = tf.Variable(weight_initializer([num_neurons_3, 1])) bias_out = tf.Variable(bias_initializer([1])) # Hidden layer hidden_1 = tf.nn.relu(tf.add(tf.matmul(X, W_hidden_1), bias_hidden_1)) hidden_2 = tf.nn.relu(tf.add(tf.matmul(hidden_1, W_hidden_2), bias_hidden_2)) hidden_3 = tf.nn.relu(tf.add(tf.matmul(hidden_2, W_hidden_3), bias_hidden_3)) # Output layer output = tf.transpose(tf.add(tf.matmul(hidden_3, W_out), bias_out), name='outer')
We will need a loss function and an optimizer function to train our model; we can use TensorFlow's built-in tf.squared_difference
and tf.train.AdamOptimizer()
, respectively. An epoch is an iteration of our entire training set. Let's train our model for 20 epochs.
# Define loss and optimizer functions loss = tf.reduce_mean(tf.squared_difference(output, Y)) optimizer = tf.train.AdamOptimizer().minimize(loss) sess.run(tf.global_variables_initializer()) # Define training parameters batch_size = len(y_train) // 10 epochs = 20 # Train Model for _ in range(epochs): for i in range(0, len(y_train) // batch_size): start = i * batch_size batch_x = X_train[start:start + batch_size] batch_y = y_train[start:start + batch_size] sess.run(optimizer, feed_dict={X: batch_x, Y: batch_y}))
Finally, let's test how accurate our model is by plotting its predictions against actual price data.
prediction = sess.run(output, feed_dict={X: X_test}) prediction = prediction.reshape(prediction.shape[1], 1) y_test.reset_index(drop=True).plot(figsize=(16, 6), label="Actual") # Plot predictions plt.plot(prediction, label="Prediction") plt.title("Test Set Results from Original Model") plt.xlabel("Time step") plt.ylabel("SPY Price") plt.legend() plt.show()


--- title: "Transformer Nets / Attention is all you need" date: 2018-02-13 layout: post categories: tags: published: true comments: ---
\(\newcommand{\X}{\mathbf{X}}\) \(\newcommand{\Y}{\mathbf{Y}}\) \(\newcommand{\Z}{\mathbf{Z}}\)
\(\newcommand{\x}{\mathbf{x}}\) \(\newcommand{\y}{\mathbf{y}}\) \(\newcommand{\z}{\mathbf{z}}\) \(\newcommand{\pa}{\mathbf{\theta}}\)
\(\newcommand{\paold}{\pa^{old}}\) \(\newcommand{\panew}{\pa^{new}}\)
\(\newcommand{\lb}{\mathcal{L}(q;\pa)}\)
\(\newcommand{\dkl}{D_{kl}}\)
\(\newcommand{\lsrc}{ I}\) \(\newcommand{\ltrg}{ J}\)
\(\newcommand{\lsrc}{ I}\) \(\newcommand{\ltrg}{ J}\) \(\newcommand{\al}{ \alpha}\) \(\newcommand{\C}{\mathbf{C}}\) \(\newcommand{\X}{\mathbf{X}}\) \(\newcommand{\x}{\mathbf{x}}\) \(\newcommand{\Y}{\mathbf{Y}}\) \(\newcommand{\Z}{\mathbf{Z}}\)
\(\newcommand{\psmt}{\mathbf{\theta}}\)
Transformer Nets are first described in the paper Attention is all you need. It was published at NIPS 2017. Six month before, an implementation in pytorch was available. The notion of self-attention was also published in ICLR2017.
The paper relies on the intensive use of 3 terms : Key, Value, and Query. Let us focus on the machine translation task.
Assume a source sentence \(\X = x_{1}^{\lsrc}\) and a target sentence \(\Y = y_{1}^{\ltrg}\). A NMT system defines the probability distribution \(P(\Y|\X,\psmt)\) as a funtion \(g\) parametrized by \(\psmt\):
\begin{align} P(\Y|\X,\psmt) &= \prod_{j=1}^{j=J}P(y_j|y_{1}, ... , y_{j-1},\X,\psmt) \\ P(y_j|y_{1}, ... , y_{j-1},\X,\psmt) &= P(y_j|y_{j-1}, \C_j, s_j, \psmt) = g_{\psmt}(y_j,y_{j-1}, \C_j, s_j) \\ \C_j &: \textrm{the context vector representing the source information} \\ s_j &: \textrm{the hidden state of the decoder }\\ \al_j &= \textrm{the attention coefficients associated to the generation of } y_j\\ \C_j &= \sum_{i=1}^I \al_{ij} x_i\\ \al_{ji} &= \frac{\exp(a(s_{j-1},x_i))}{\sum_i \exp(a(s_{j-1},\x_i))}\\ \x_i &:\textrm{a vector representing the source word } x_i \end{align}The NMT system is in this form decomposed in three parts:
Assume a source sentence \(\X = x_{1}^{\lsrc}\). It's a matrix. \[ \begin{array}{|c|c|c|c|c|} \hline \phantom{x} &\phantom{x} &\phantom{x}&\phantom{x}&\phantom{x}\\\hline & & \\\hline & & \\\hline \end{array} \]


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Assert.20Violation.html ---
LEAN ASSERTION VIOLATION File: /tmp/lean-20180823-20161-4hyzri/lean-3.4.1/src/frontends/lean/elaborator.cpp Line: 3167 Task: /Users/maxim/depot/groupoid/lean/homotopy_theory/formal/i_category/drag.lean: homotopy_theory.cofibrations.drag_equiv m_ctx.match(e, *val2)
Just catch in Reid Barton's code :-) Unfortunately non-reproducable.
I've seen errors like this as well, not sure what caused them. I thought they were related to things like changing branches or mathlib versions. They seem to go away on their own
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


| Event |
Early |
AM |
Break |
AM |
Lunch |
PM |
Break |
PM |
Evening |
|---|---|---|---|---|---|---|---|---|---|
| Thursday, Oct.23. (Overlaps with ISWC2003, ISWC sessions are listed in purple) | |||||||||
| ISWC2003 Session: Semantic Web Services | 09:15- |
10:45- |
|
15:30- |
|||||
| ISWC2003 Session: Applications | 09:15- |
||||||||
| ISWC2003 Session: Security, Trust and Privacy | 10:15- |
11:15- |
|||||||
| ISWC2003 Session: Tools and Metodologies | 10:15- |
11:15- |
|||||||
|
Paper Presentations
>Ontoshare: A Knowledge Management Environment for Virtual Communities of Practice, John Davies, Alistair Duke and York Sure >Design of Customized Web Applications with OntoWeaver, Yuangui Lei, Enrico Motta and John Domingue >ONTOLOGER: A System for Usage-Based Management of Querying in Ontology-Based Information Portals, Nenad Stojanovic, Jorge Gonzalez and Ljiljana Stojanovic |
13:00- |
||||||||
| ISWC2003 Invited talk - TIM BERNERS-LEE - Sundial Room | 14:30- |
||||||||
| Panel discussion on Knowledge Acquisition projects (Halo, RKF, and AKT) | 16:00- |
||||||||
| Friday, Oct 24 |
|||||||||
| Continental Breakfast |
08:00- |
10:00- |
15:00- |
||||||
| Paper Presentations >Engineering a Complex Ontology With Time, Jorge Santos and Steffen Staab >Capturing Task Knowledge for Geo-Spatial Imagery, Dympna O'Sullivan, Eoin McLoughlin, David Wilson and Michela Bertolotto >Combining Ontology Engineering Subprocesses To Build a Time Ontology, H. Sofia Pinto and Duarte N. Peralta |
08:30- |
||||||||
| Paper Presentations >Modularisation of domain ontologies implemented in description logics and related formalisms including OWL, Alan L. Rector >A Generic Library of Problem Solving Methods for Scheduling Applications, Rajpathak, D., Motta, E., Zdrahal, Z., and Roy, R. >Ontology Evolution as Reconfiguration-Design Problem Solving, N.Stojanovic, A.Maedche, L.Stojanovic,R.Studer |
10:30- |
||||||||
| Paper Presentations >Collecting Commonsense Experiences, Push Singh and Barbara Barry >Building Large Knowledge Bases by Mass Collaboration, Matthew Richardson and Pedro Domingos >Aiding Knowledge Capture by Searching for Extensions of Knowledge Models, D.Leake, A.Maguitman, T.Reichherzer, A.Canas, M.Carvalho, M.Arguedas,S.Brenes >LEARNER: A System for Acquiring Commonsense Knowledge by Analogy, Chklovski, Tim |
13:00- |
||||||||
| Paper Presentations >Capturing interest through inference and visualization: ontological user profiling in recommender systems, Stuart Middleton, Nigel R. Shadbolt and David C. De Roure >Towards Topic-Based Summarization for Interactive Document Viewing, Achim Hoffman and Son Bao Pham >Sentiment Analysis: Capturing Favorability Using Natural Language Processing, Tetsuya Nasukawa and Jeonghee Yi >Litlinker: Capturing Connections Across the Biomedical Literature, Wanda Pratt and Meliha Yetsigen-Yildiz |
15:30- |
||||||||
| Banquet |
18:30 |
||||||||
| Saturday, Oct 25 |
|||||||||
| Continental Breakfast | 08:00- |
10:00- |
15:00- |
||||||
| Paper Presentations >Enabling Domain Experts to Convey Questions to a Machine: a Modified, Template-Based Approach, P.Clark, K.Barker, B.Porter, V.Chaudhri, S.Mishra, J.Thomere >Using Non-Taxonomic Knowledge to Match Conceptual Structures, Peter Yeh, Bruce Porter and Ken Barker >Evaluating SME-Authored COA Critiquing Knowledge, M.Pool, K.Murray, J.Fitzgerald, M.Mehrotra, R.Schrag, J.Blythe, J.Kim, H.Chalupsky, P.Miraglia, T.Russ,D.Schneider |
08:30- |
||||||||
| Paper Presentations >An Interactive Environment For Scientific Model Construction, Javier Nicolas Sanchez and Pat Langley >Learning Programs from Traces Using Version Space Algebra, Tessa Lau, Pedro Domingos and Daniel S. Weld |
10:30- |
||||||||
| Invited Talk: "How Robot Baby Learns Meaningful Representations", PAUL COHEN |
11:30- |
||||||||
| WORKSHOP: Visualizing Information in Knowledge Engineering (VIKE) (formerly "Information Visualization in Knoweldge Capture Technologies") |
13:30- |
15:30- |
|||||||
| WORKSHOP: Knowledge Management and the Semantic Web |
13:30- |
15:30- |
|||||||
| Sunday, Oct 26 |
|||||||||
| Continental Breakfast |
08:00- |
|
15:00- |
||||||
| WORKSHOP: Distributed and Collaborative Knowledge Capture | 09:00- |
||||||||
| WORKSHOP: Knowledge Markup and Semantic |
09:00- |
13:00- |
15:30- |
||||||
| WORKSHOP: Capturing Knowledge from Domain Experts: Progress and Prospects |
13:00- | 15:30- |


Zarya
Diablo
Sonya
Anub'Arak
Dehaka
To use:
- 1. Click on the name of a Hero with your mouse.
- 2. While holding click down, drag the Hero around.
- 3. Release the mouse with the Hero dragged over a spot in the ranked list (center) to place it there.
- 4. Releasing the mouse while the Hero is NOT over a ranked list spot will return it to the unranked pool.
- 5. Placing a Hero in a list spot already occupied by another Hero will result in the first Hero being bumped up, down or off the list.


{% extends "registration/base.html" %} {% block title %}Delete Your Account{% endblock %} {% block meta_description %}Delete Your Account{% endblock %} {% block main_content %}
There is no confirmation prompt after clicking the button! This change takes place immediately and cannot be undone.
{% endblock %}


Hey, welcome to my page. I am majoring in Information Technology at Lewis. I have two siblings. I enjoy watching movies. 😄
Right now my favorite hobby is theology. The philosophy of the unseen world truly stands out to me in this society that is so driven by the material.
I was born in Hong Kong.


Trump hosted secret White House dinner with Zuckerberg
by New York PostFacebook CEO Mark Zuckerberg attended a secret dinner at the White House last month with President Trump and tech investor Peter Thiel, the social media company confirmed on Wednesday night.
The previously undisclosed meeting in October between the social media mogul and the president was first reported by NBC News, who cited a statement from the company.
“As is normal for a CEO of a major U.S. company, Mark accepted an invitation to have dinner with the President and First Lady at the White House,” a Facebook spokesperson said.
It’s not clear why Trump entertained Zuckerberg and Thiel, who was a major donor to the president’s 2016 campaign and one of the most outspoken conservatives in Silicon Vally.
Zuckerberg previously met with Trump in the Oval Office in September, which Facebook later described as a “constructive” meeting.
“He also had a good, constructive meeting with President Trump at the White House today,” the spokesperson said after the Sept. 19 meeting.
CLICK HERE TO GET THE FOX NEWS APP
Trump tweeted about the Sept. meeting and included an image from the Oval Office: “Nice meeting with Mark Zuckerberg of @Facebook in the Oval Office today.”.


SQLAlchemy ships with a connection pooling framework that integrates with the Engine system and can also be used on its own to manage plain DB-API connections.
At the base of any database helper library is a system for efficiently acquiring connections to the database. Since the establishment of a database connection is typically a somewhat expensive operation, an application needs a way to get at database connections repeatedly without incurring the full overhead each time. Particularly for server-side web applications, a connection pool is the standard way to maintain a group or “pool” of active database connections which are reused from request to request in a single server process.
The Engine returned by the create_engine() function in most cases has a QueuePool integrated, pre-configured with reasonable pooling defaults. If you’re reading this section to simply enable pooling- congratulations! You’re already done.
The most common QueuePool tuning parameters can be passed directly to create_engine() as keyword arguments: pool_size, max_overflow, pool_recycle and pool_timeout. For example:
engine = create_engine('postgresql://me@localhost/mydb',
pool_size=20, max_overflow=0)
In the case of SQLite, a SingletonThreadPool is provided instead, to provide compatibility with SQLite’s restricted threading model.
Pool instances may be created directly for your own use or to supply to sqlalchemy.create_engine() via the pool= keyword argument.
Constructing your own pool requires supplying a callable function the Pool can use to create new connections. The function will be called with no arguments.
Through this method, custom connection schemes can be made, such as a using connections from another library’s pool, or making a new connection that automatically executes some initialization commands:
import sqlalchemy.pool as pool
import psycopg2
def getconn():
c = psycopg2.connect(username='ed', host='<IP_ADDRESS>', dbname='test')
# execute an initialization function on the connection before returning
c.cursor.execute("setup_encodings()")
return c
p = pool.QueuePool(getconn, max_overflow=10, pool_size=5)
Or with SingletonThreadPool:
import sqlalchemy.pool as pool
import sqlite
p = pool.SingletonThreadPool(lambda: sqlite.connect(filename='myfile.db'))
Bases: sqlalchemy.pool.Pool
A Pool that allows at most one checked out connection at any given time.
This will raise an exception if more than one connection is checked out at a time. Useful for debugging code that is using more connections than desired.
Bases: sqlalchemy.pool.Pool
A Pool which does not pool connections.
Instead it literally opens and closes the underlying DB-API connection per each connection open/close.
Reconnect-related functions such as recycle and connection invalidation are not supported by this Pool implementation, since no connections are held persistently.
Bases: sqlalchemy.log.Identified
Abstract base class for connection pools.
Construct a Pool.
| Parameters: |
|
|---|
Add a PoolListener-like object to this pool.
listener may be an object that implements some or all of PoolListener, or a dictionary of callables containing implementations of some or all of the named methods in PoolListener.
Dispose of this pool.
This method leaves the possibility of checked-out connections remaining open, It is advised to not reuse the pool once dispose() is called, and to instead use a new pool constructed by the recreate() method.
Return a new instance with identical creation arguments.
Bases: sqlalchemy.pool.Pool
A Pool that imposes a limit on the number of open connections.
Construct a QueuePool.
| Parameters: |
|
|---|
Bases: sqlalchemy.pool.Pool
A Pool that maintains one connection per thread.
Maintains one connection per each thread, never moving a connection to a thread other than the one which it was created in.
This is used for SQLite, which both does not handle multithreading by default, and also requires a singleton connection if a :memory: database is being used.
Options are the same as those of Pool, as well as:
| Parameters: |
|
|---|
Dispose of this pool.
Bases: sqlalchemy.pool.Pool
A Pool of exactly one connection, used for all requests.
Reconnect-related functions such as recycle and connection invalidation (which is also used to support auto-reconnect) are not currently supported by this Pool implementation but may be implemented in a future release.
Any PEP 249 DB-API module can be “proxied” through the connection pool transparently. Usage of the DB-API is exactly as before, except the connect() method will consult the pool. Below we illustrate this with psycopg2:
import sqlalchemy.pool as pool
import psycopg2 as psycopg
psycopg = pool.manage(psycopg)
# then connect normally
connection = psycopg.connect(database='test', username='scott',
password='tiger')
This produces a _DBProxy object which supports the same connect() function as the original DB-API module. Upon connection, a connection proxy object is returned, which delegates its calls to a real DB-API connection object. This connection object is stored persistently within a connection pool (an instance of Pool) that corresponds to the exact connection arguments sent to the connect() function.
The connection proxy supports all of the methods on the original connection object, most of which are proxied via __getattr__(). The close() method will return the connection to the pool, and the cursor() method will return a proxied cursor object. Both the connection proxy and the cursor proxy will also return the underlying connection to the pool after they have both been garbage collected, which is detected via weakref callbacks (__del__ is not used).
Additionally, when connections are returned to the pool, a rollback() is issued on the connection unconditionally. This is to release any locks still held by the connection that may have resulted from normal activity.
By default, the connect() method will return the same connection that is already checked out in the current thread. This allows a particular connection to be used in a given thread without needing to pass it around between functions. To disable this behavior, specify use_threadlocal=False to the manage() function.
Return a proxy for a DB-API module that automatically pools connections.
Given a DB-API 2.0 module and pool management parameters, returns a proxy for the module that will automatically pool connections, creating new connection pools for each distinct set of connection arguments sent to the decorated module’s connect() function.
| Parameters: |
|
|---|
Remove all current DB-API 2.0 managers.
All pools and connections are disposed.


PERLTEX(1) PERLTEX(1) NAME perltex - enable LaTeX macros to be defined in terms of Perl code SYNOPSIS perltex [--help] [--latex=program] [--[no]safe] [--permit=feature] [--makesty] [latex options] DESCRIPTION LaTeX -- through the underlying TeX typesetting system -- produces beautifully typeset documents but has a macro language that is difficult to program. In particular, support for complex string manipulation is largely lacking. Perl is a popular general-purpose programming language whose forte is string manipulation. However, it has no typesetting capabilities whatsoever. Clearly, Perl's programmability could complement LaTeX's typesetting strengths. perltex is the tool that enables a symbiosis between the two systems. All a user needs to do is compile a LaTeX document using perltex instead of latex. (perltex is actually a wrapper for latex, so no latex functionality is lost.) If the document includes a "\usepackage{perltex}" in its preamble, then "\perlnewcommand" and "\perlrenewcommand" macros will be made available. These behave just like LaTeX's "\newcommand" and "\renewcommand" except that the macro body contains Perl code instead of LaTeX code. OPTIONS perltex accepts the following command-line options: --help Display basic usage information. --latex=program Specify a program to use instead of latex. For example, "--latex=pdflatex" would typeset the given document using pdflatex instead of ordinary latex. --[no]safe Enable or disable sandboxing. With the default of --safe, perltex executes the code from a "\perlnewcommand" or "\perlrenewcommand" macro within a protected environment that prohibits ``unsafe'' operations such as accessing files or executing external programs. Specifying --nosafe gives the LaTeX document carte blanche to execute any arbitrary Perl code, including that which can harm the user's files. See Safe for more information. --permit=feature Permit particular Perl operations to be performed. The --permit option, which can be specified more than once on the command line, enables finer-grained control over the perltex sandbox. See Opcode for more information. --makesty Generate a LaTeX style file called noperltex.sty. Replacing the document's "\usepackage{perltex}" line with "\usepackage{noperltex}" produces the same output but does not require PerlTeX, making the document suitable for distribution to people who do not have PerlTeX installed. The disadvantage is that noperltex.sty is specific to the document that produced it. Any changes to the document's PerlTeX macro definitions or macro invocations necessitates rerunning perltex with the --makesty option. These options are then followed by whatever options are normally passed to latex (or whatever program was specified with "--latex"), including, for instance, the name of the .tex file to compile. EXAMPLES In its simplest form, perltex is run just like latex: perltex myfile.tex To use pdflatex instead of regular latex, use the --latex option: perltex --latex=pdflatex myfile.tex If LaTeX gives a ``"trapped by operation mask"'' error and you trust the .tex file you're trying to compile not to execute malicious Perl code (e.g., because you wrote it yourself), you can disable perltex's safety mechansisms with --nosafe: perltex --nosafe myfile.tex The following command gives documents only perltex's default permissions (":browse") plus the ability to open files and invoke the "time" command: perltex --permit=:browse --permit=:filesys_open --permit=time myfile.tex ENVIRONMENT perltex honors the following environment variables: PERLTEX Specify the filename of the LaTeX compiler. The LaTeX compiler defaults to ``"latex"''. The "PERLTEX" environment variable overrides this default, and the --latex command-line option (see "OPTIONS") overrides that. FILES While compiling jobname.tex, perltex makes use of the following files: jobname.lgpl log file written by Perl; helpful for debugging Perl macros jobname.topl information sent from LaTeX to Perl jobname.frpl information sent from Perl to LaTeX jobname.tfpl ``flag'' file whose existence indicates that jobname.topl contains valid data jobname.ffpl ``flag'' file whose existence indicates that jobname.frpl contains valid data jobname.dfpl ``flag'' file whose existence indicates that jobname.ffpl has been deleted noperltex-#.tex file generated by noperltex.sty for each PerlTeX macro invocation NOTES perltex's sandbox defaults to what Opcode calls ``":browse"''. SEE ALSO latex(1), pdflatex(1), perl(1), Safe(3pm), Opcode(3pm) AUTHOR Scott Pakin<EMAIL_ADDRESS>v2.1 2010-07-10 PERLTEX(1)


What an amazing program F.I.G.H.T. has been!! My hope is that we can take what we have learned over the last 2 months and truly apply it to our daily lives moving forward.
School is starting back up, a normal schedule will resume and the F.I.G.H.T. program will become a memory. Will you continue to write in your journal? Read your scriptures daily? Will you attend the temple regularly? I hope the answer to these questions is YES. I know if we do these things our lives will be blessed.
Now, I want to focus just for a moment on rescue. Rescue, as in helping each other out. Can you think of someone in your quorum who could use a personal invitation to mutual or church? Can you think of someone in your quorum who could use a friend? Will you be the person who invites and becomes that friend?
I know that as we strive to do the things that have been asked of us we gain joy and peace in this life. I also know that as we do these things, we gain charity and want to focus on those who may need our help.
You are awesome young men and it has been an amazing summer. I felt the bonds of our young men’s program become stronger as we trusted in God together.
I hope you have a great school year and I hope you always remember to trust in God. Do this and I promise you happiness. Will it be easy? Absolutely not!
-- Gary Krauser


Why the closed-mode shadowDOM breaks, and cannot be used? When a composed: true event such as a click happens inside a closed shadowDOM, then from the lightDOM it is not possible to see the composedPath() *inside* the shadowDOM. If the shadowDOM contains different elements, and one of these elements has a default action, then there is no means to see if/which the element with the default action is clicked. This means that when an upper DOM context needs to evaluate if it can add a default action, it has no way of knowing if there is another default action already added "nearer the target". The only way to see this is either to add information about a default action added already to the event object (event.hasDefault() or something similar) or by examining the full composedPath().


{% extends 'dashboard/base.html' %} {% block dashboard_body %} {{ breadcrumb(podcast.name, url('podcast_dashboard', podcast_slug=podcast.slug)) }} {{ _('New Episode') }} {% if error %}
{{ _('Choose flair to show at the bottom of your episode description:') }}


Update
How to manually update client?
1. Close Tzar Chat!
2. Download update file (
update.zip):
3. Move update.zip to TzarChat directory:
4. Open program
Update-TC.exe. If you receive this error message:
Open program
Update-TC.exe with Admin rights!
If everything goes well, your Tzar Chat will be updated, as on screen shot:


AUTUMN IN NEW YORK (director: Joan Chen; screenwriter: Allison Burnett; cinematographer: Changwei Gu; editor: Ruby Yang; cast: Richard Gere (Will Keane), Winona Ryder (Charlotte Fielding), Vera Farmiga (Lisa, Will's Daughter), Anthony LaPaglia (John), Elaine Stritch (Dolly), Runtime: 105; 2000)
Reviewed by Dennis Schwartz
A tearjerker love story, about the handsome Richard Gere as a 48-year-old womanizer and Winona Ryder as a 22-year-old Emily Dickinson-quoting, hat designer, who doesn't have long to live because of a tumor in her heart. There's nothing that isn't predictable about this sappy formula sob story and there's nothing about this flat romance between these two good-looking upper-middle-class yuppies that is endearing. It is a disappointing film, lacking imagination, turgidly acted, and laden with a mechanical script, a real downer after the director's more sweeping last film, "Xiu-Xiu: The Sent Down Girl."
At Gere's trendy upscale Manhattan restaurant, Ryder is celebrating her birthday, and Gere recognizes an old acquaintance, Ryder's irascible grandmother, Elaine Stritch, and she introduces this wolf, whom she has little use for, to her granddaughter, and right on the spot, they both fall in love. Stritch goes back to the time Gere wooed her daughter and left her emotionally upset by jilting her. He also knocked up her best friend and left her without ever seeing the child. They haven't seen each other for some time, so I guess granny has a memory lapse of what she thinks of him, as for some inexplicable reason she helps get this romance started.
Gere, who is a smooth liar, skilled in seducing women and then leaving them, unnecessarily tricks Winona into going to a formal gala event with him. It was unnecessary because this silly girl who loves to say wow, is dying to go out with him. He quickly gets her to bed, but honoring the old-fashioned conventions of films shot in the 1930s, we don't get to see any sex. The next morning the playboy deceptively tells her that he is too old for her, and then gives her his standard non-commitment speech, "All I'm able to offer you is this--what we have right now--until it ends. We have no future."
She cheerfully tells him, "I collect antiques." She also tells him that this romance is taking place only because she will be dying soon. Ryder finds him so irresistible, that she swallows all these tired playboy lines and they go on a whirlwind May-December romance. Anthony LaPaglia is a loyal friend to Gere, and he also is the host in Gere's eatery. His job in the film is to say cliché lines that reprimmand Gere for being such a cad to women. He warns him that if he doesn't find the right woman, someday when he gets too old to be a wolf, he will be alone drinking egg nogs to himself on Christmas. I guess in the way this film looks at things, that would be a terrible retribution.
Gere has a quickie with an old flame on the roof, at a Halloween party, while Ryder is telling bedtime stories to LaPaglia's children.  This shakes up Ryder, who is the one in this relationship, committed to telling the truth. To add to the melodramatics, Gere tries his best to woo her back, thinking of himself as a better man now that he has suffered from some momentary pains due to her leaving him. This love story never convincingly goes beyond the depth of two good-looking people falling in love based on their looks.
Gere's neglected daughter (Vera) tracks him down from a picture of him that appeared in a popular magazine, and she eagerly meets him for the first time, wondering if he's a good guy. She is about Ryder's age. Gere goes through a redemptive phase after talking with her, asking for forgiveness, which had about the same amount of sincerity in it as President Clinton's apology to the nation had for his inappropriate conduct.
To pile on some more weepie scenes, Winona keeps fainting and Gere keeps trying to find a miracle to save her. When she faints while skating at Rockefeller Center, a surgeon flies in to save her. Since everything about this film is manipulative, the odds are 4 to 5 against her living, since this film is just as corny and as predictable as the 1970 film "Love Story."
The only good line in the film comes from Gere, when asked by Ryder what made him become a food guy: He says, "Food is the only beautiful thing that truly nourishes."
This is basically an exterior movie, as Manhattan is warmly photographed, but the interiors of the two lovers was never made to seem warm. The romance never rung true and the stars did not have a good chemistry together. Gere seemed to be content to be in love with himself, always smugly smiling while everyone said how handsome he was, while Ryder was too shrill to be engaging. At one point in their romance, Ryder when in Central Park, waxes poetic and tells him, "I can smell the rain." She then coos and makes a contorted face of pleasure, and with this trite dialogue and mushy call for love, amid the autumn splendor of the golden leaves beautifully photographed by Changwei Gu, we are asked to believe that these unreal lovers are for real.
REVIEWED ON 8/16/2000 GRADE: C-
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
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


UK's former most wanted handed 33 life sentences for sex attacks
by Luke HurstThe UK's former most wanted criminal has been handed 33 life sentences, after he embarked on a two-week campaign of rape and kidnap, targetting women and children.
Joseph McCann sparked one of the country’s biggest ever manhunts when he went on a criminal rampage from April 20 to May 5, kidnapping and assaulting victims at knifepoint.
McCann targeted 11 victims in total, with the youngest an 11-year-old boy, and the eldest a 71-year-old woman.

Four of his victims were under 15 at the time of the attacks.
During the trial the court heard how he had kidnapped a number of his victims by knife-point, forcing them into his car.
Two of his victims managed to escape after one of them hit him over the head with a bottle of vodka, while another jumped out of a first-floor window, running to get help to save her mother and brother who were both trapped in their house with McCann.
The judge imposed a minimum sentence of 30 years, at which point the parole board would be responsible for any future release.
Earlier this year, Britain's Ministry of Justice admitted that McCann should still have been in prison for previous violent offences when he committed these crimes, but he was mistakenly released by authorities.
The case is likely to spark a political debate on imprisonment and the justice system, just a week after a terror attack was committed near London Bridge by a man who had benefited from early release.
McCann refused to appear in court or by video link, and had denied the charges against him.
In her sentencing remarks, the judge said it was a "campaign of rape, violence and abduction of a kind which I have never seen or heard of before".


The
Flac
module that provides functionality
for encoding WAV/PCM audio to Flac and decoding Flac to PCM.Methods
-
create_libflac_decoder(is_verify){number}
-
Create a decoder.
Name Type Description is_verify
boolean optional enable/disable checksum verification during decoding
DEFAULT: trueReturns:
ID of the created decoder instance (or 0, if there was an error)
-
create_libflac_encoder(sample_rate, channels, bps, compression_level, total_samples, is_verify, block_size){number}
-
Create an encoder.
Name Type Description sample_rate
number the sample rate of the input PCM data channels
number the number of channels of the input PCM data bps
number bits per sample of the input PCM data compression_level
number the desired Flac compression level: [0, 8] total_samples
number optional OPTIONAL the number of total samples of the input PCM data:
Sets an estimate of the total samples that will be encoded. This is merely an estimate and may be set to 0 if unknown. This value will be written to the STREAMINFO block before encoding, and can remove the need for the caller to rewrite the value later if the value is known before encoding.
If specified, the it will be written into metadata of the FLAC header.
DEFAULT: 0 (i.e. unknown number of samples)is_verify
boolean optional OPTIONAL enable/disable checksum verification during encoding
DEFAULT: true
NOTE: this argument is positional (i.e. total_samples must also be given)block_size
number optional OPTIONAL the number of samples to use per frame.
DEFAULT: 0 (i.e. encoder sets block size automatically) NOTE: this argument is positional (i.e. total_samples and is_verify must also be given)Returns:
ID of the created encoder instance (or 0, if there was an error)
-
FLAC__stream_decoder_delete(decoder)
-
Delete the decoder instance, and free up its resources.
Name Type Description decoder
number the ID of the decoder instance -
FLAC__stream_decoder_finish(decoder){boolean}
-
Finish the decoding process. The decoder can be reused, after initializing it again.
Name Type Description decoder
number the ID of the decoder instance Returns:
if MD5 checking is on AND a STREAMINFO block was available AND the MD5 signature in the STREAMINFO block was non-zero AND the signature does not match the one computed by the decoder; else true.
-
FLAC__stream_decoder_get_md5_checking(decoder){boolean}
-
Get if MD5 verification is enabled for decoder
Name Type Description decoder
number the ID of the decoder instance Returns:
if MD5 verification is enabled
-
FLAC__stream_decoder_get_state(decoder){number}
-
Name Type Description decoder
number the ID of the decoder instance Returns:
decoder state:0 FLAC__STREAM_DECODER_SEARCH_FOR_METADATA: The decoder is ready to search for metadata 1 FLAC__STREAM_DECODER_READ_METADATA: The decoder is ready to or is in the process of reading metadata 2 FLAC__STREAM_DECODER_SEARCH_FOR_FRAME_SYNC: The decoder is ready to or is in the process of searching for the frame sync code 3 FLAC__STREAM_DECODER_READ_FRAME: The decoder is ready to or is in the process of reading a frame 4 FLAC__STREAM_DECODER_END_OF_STREAM: The decoder has reached the end of the stream 5 FLAC__STREAM_DECODER_OGG_ERROR: An error occurred in the underlying Ogg layer 6 FLAC__STREAM_DECODER_SEEK_ERROR: An error occurred while seeking. The decoder must be flushed with FLAC__stream_decoder_flush() or reset with FLAC__stream_decoder_reset() before decoding can continue 7 FLAC__STREAM_DECODER_ABORTED: The decoder was aborted by the read callback 8 FLAC__STREAM_DECODER_MEMORY_ALLOCATION_ERROR: An error occurred allocating memory. The decoder is in an invalid state and can no longer be used 9 FLAC__STREAM_DECODER_UNINITIALIZED: The decoder is in the uninitialized state; one of the FLAC__stream_decoder_init_*() functions must be called before samples can be processed.
-
FLAC__stream_decoder_process_single(encoder){boolean}
-
Decodes a single frame. To check decoding progress, use #FLAC__stream_decoder_get_state().
Name Type Description encoder
number the ID of the encoder instance Returns:
if an error occurred
-
FLAC__stream_decoder_process_until_end_of_metadata(decoder){boolean}
-
Decodes data until end of metadata.
Name Type Description decoder
number the ID of the decoder instance Returns:
if any fatal read, write, or memory allocation error occurred (meaning decoding must stop), else true.
-
FLAC__stream_decoder_process_until_end_of_stream(decoder){boolean}
-
Decodes data until end of stream.
Name Type Description decoder
number the ID of the decoder instance Returns:
if an error occurred
-
FLAC__stream_decoder_reset(decoder){boolean}
-
Reset the decoder for reuse.
Name Type Description decoder
number the ID of the decoder instance Returns:
if successful
-
FLAC__stream_encoder_delete(encoder)
-
Delete the encoder instance, and free up its resources.
Name Type Description encoder
number the ID of the encoder instance -
FLAC__stream_encoder_finish(encoder){boolean}
-
Finish the encoding process.
Name Type Description encoder
number the ID of the encoder instance Returns:
if an error occurred processing the last frame; or if verify mode is set, there was a verify mismatch; else true. If false, caller should check the state with FLAC__stream_encoder_get_state() for more information about the error.
-
FLAC__stream_encoder_get_state(encoder){number}
-
Name Type Description encoder
number the ID of the encoder instance Returns:
encoder state:0 FLAC__STREAM_ENCODER_OK The encoder is in the normal OK state and samples can be processed. 1 FLAC__STREAM_ENCODER_UNINITIALIZED The encoder is in the uninitialized state; one of the FLAC__stream_encoder_init_*() functions must be called before samples can be processed. 2 FLAC__STREAM_ENCODER_OGG_ERROR An error occurred in the underlying Ogg layer. 3 FLAC__STREAM_ENCODER_VERIFY_DECODER_ERROR An error occurred in the underlying verify stream decoder; check FLAC__stream_encoder_get_verify_decoder_state(). 4 FLAC__STREAM_ENCODER_VERIFY_MISMATCH_IN_AUDIO_DATA The verify decoder detected a mismatch between the original audio signal and the decoded audio signal. 5 FLAC__STREAM_ENCODER_CLIENT_ERROR One of the callbacks returned a fatal error. 6 FLAC__STREAM_ENCODER_IO_ERROR An I/O error occurred while opening/reading/writing a file. Check errno. 7 FLAC__STREAM_ENCODER_FRAMING_ERROR An error occurred while writing the stream; usually, the write_callback returned an error. 8 FLAC__STREAM_ENCODER_MEMORY_ALLOCATION_ERROR Memory allocation failed.
-
FLAC__stream_encoder_process_interleaved(encoder, buffer, num_of_samples){boolean}
-
Encode / submit data for encoding. This version allows you to supply the input data where the channels are interleaved into a single array (i.e. channel0_sample0, channel1_sample0, ... , channelN_sample0, channel0_sample1, ...). The samples need not be block-aligned but they must be sample-aligned, i.e. the first value should be channel0_sample0 and the last value channelN_sampleM. Each sample should be a signed integer, right-justified to the resolution set by bits-per-sample. For example, if the resolution is 16 bits per sample, the samples should all be in the range [-32768,32767]. For applications where channel order is important, channels must follow the order as described in the frame header.
Name Type Description encoder
number the ID of the encoder instance buffer
TypedArray the audio data in a typed array with signed integers (and size according to the set bits-per-sample setting) num_of_samples
number the number of samples in buffer Returns:
if successful, else false; in this case, check the encoder state with FLAC__stream_encoder_get_state() to see what went wrong.
-
FLAC__stream_encoder_set_blocksize()
-
-
FLAC__stream_encoder_set_compression_level()
-
-
FLAC__stream_encoder_set_verify()
-
-
init_decoder_stream(decoder, read_callback_fn, write_callback_fn, error_callback_fn, metadata_callback_fn)
-
Initialize the decoder.
Name Type Description decoder
number the ID of the decoder instance read_callback_fn
function the callback for reading the Flac data that should get decoded: read_callback_fn(numberOfBytes: Number) : {buffer: ArrayBuffer, readDataLength: number, error: boolean} numberOfBytes: the maximal number of bytes that the read callback can return RETURN.buffer: a TypedArray (e.g. Uint8Array) with the read data RETURN.readDataLength: the number of read data bytes. A number of 0 (zero) indicates that the end-of-stream is reached. RETURN.error: TRUE indicates that an error occurs (decoding will be aborted)
write_callback_fn
function the callback for writing the decoded data: write_callback_fn(data: TypedArray, frameInfo: Metadata) data: the decoded PCM data as Uint8Array frameInfo: the metadata information for the decoded data with frameInfo.blocksize (Number): the block size (bytes) frameInfo.sampleRate (Number): the sample rate (Hz) frameInfo.channels (Number): number of channels frameInfo.bitsPerSample (Number): bits per sample frameInfo.number (Number): the number of the decoded sample frameInfo.crc (String): the MD5 checksum for the decoded data (if validation is active)
error_callback_fn
function optional OPTIONAL the error callback: error_callback_fn(errorCode: Number, errorMessage: String) where FLAC__STREAM_DECODER_ERROR_STATUS_LOST_SYNC An error in the stream caused the decoder to lose synchronization. FLAC__STREAM_DECODER_ERROR_STATUS_BAD_HEADER The decoder encountered a corrupted frame header. FLAC__STREAM_DECODER_ERROR_STATUS_FRAME_CRC_MISMATCH The frame's data did not match the CRC in the footer. FLAC__STREAM_DECODER_ERROR_STATUS_UNPARSEABLE_STREAM The decoder encountered reserved fields in use in the stream.
metadata_callback_fn
function optional OPTIONAL callback for receiving the metadata of the decoded PCM data: metadata_callback_fn(metadata: StreamMetadata) metadata.min_blocksize (Number): the minimal block size (bytes) metadata.max_blocksize (Number): the maximal block size (bytes) metadata.min_framesize (Number): the minimal frame size (bytes) metadata.max_framesize (Number): the maximal frame size (bytes) metadata.sampleRate (Number): the sample rate (Hz) metadata.channels (Number): the number of channels metadata.bitsPerSample (Number): bits per sample metadata.total_samples (Number): the total number of (decoded) samples metadata.md5sum (String): the MD5 checksum for the decoded data (if validation is active)
-
init_encoder_stream(encoder, write_callback_fn, metadata_callback_fn)
-
Initialize the decoder.
Name Type Description encoder
number the ID of the encoder instance write_callback_fn
function the callback for writing the encoded Flac data: write_callback_fn(data: Uint8Array, numberOfBytes: Number, samples: Number, currentFrame: Number) data: the encoded Flac data numberOfBytes: the number of bytes in data samples: the number of samples encoded in data currentFrame: the number of the (current) encoded frame in data
metadata_callback_fn
function optional OPTIONAL the callback for the metadata of the encoded Flac data: metadata_callback_fn(metadata: StreamMetadata) metadata.min_blocksize (Number): the minimal block size (bytes) metadata.max_blocksize (Number): the maximal block size (bytes) metadata.min_framesize (Number): the minimal frame size (bytes) metadata.max_framesize (Number): the maximal frame size (bytes) metadata.sampleRate (Number): the sample rate (Hz) metadata.channels (Number): the number of channels metadata.bitsPerSample (Number): bits per sample metadata.total_samples (Number): the total number of (decoded) samples metadata.md5sum (String): the MD5 checksum for the decoded data (if validation is active)
-
isReady(){boolean}
-
Returns if Flac has been initialized / is ready to be used.
Returns:
if Flac is ready to be used
-
Callback that gets called, when asynchronous initialization has finished. Note that this function is not called again, after #isReady() is TRUE
Example
if(!Flac.isReady()){ Flac.onready = function(){ //gets executed when library becomes ready... }; }


Electronics I • Elec Eng 3100
Diode and transistor circuits, small signal analysis, amplifier design, differential and operational amplifiers, flipflop circuits and waveshaping. Prerequisites: Elec Eng 2120, Elec Eng 2200, Elec Eng 2201, and Comp Eng 2210 each with a grade of "C" or better. Passing grade on Elec Eng Advancement Exam II and III. Elec Eng 3101 is a corequisite.
Electronics I Laboratory • Elec Eng 3101
Experiments in design with diodes, transistors, differential and operational amplifiers, and logic components. Prerequisites: Elec Eng 2120, Elec Eng 2200, Elec Eng 2201, and Comp Eng 2210 each with a grade of "C" or better. Passing grade on Elec Eng Advancement Exam II and III. Elec Eng 3100 is a corequisite.


Tab 1
Tab 2
AJAX Tab
This is the content panel linked to the first tab, it is shown by default.
This content is linked to the second tab and will be shown when its tab is clicked.
Select a tab:
remoteTab1
remoteTab2


:D
GlowBear Indevelopment Edition A simple JavaScript based web terminal that supports commands and stuff Use help command for command listing


Enter the location name
Minimum Num. of Customers
Maximum Num. of Customers
Average Num. of Customers


HAL-IS-CALLER-LOCKED-OUT(1) HAL-IS-CALLER-LOCKED-OUT(1) NAME hal-is-caller-locked-out - determine if a caller is locked out SYNOPSIS hal-is-caller-locked-out [options] DESCRIPTION hal-is-caller-locked-out determines if a specific caller is locked out of a specific D-Bus interface on a specific device. For more information about both the big picture and specific HAL properties, refer to the HAL spec which can be found in /usr/share/doc/hal-doc/spec/hal-spec.html depending on the distribution. OPTIONS The following options are supported: --udi The UDI (Unique Device Identifier) of the device object. --interface The name of the interface to check for. --caller The unique D-Bus name on the system bus of the caller. --help Print out usage. --version Print the version. RETURN VALUE If the given process is locked out or an error occurs, this program exits with exit code 1. Otherwise it exits with exit code 0. Note that only the super user (root) or other privileged users can use this tool. BUGS Please send bug reports to either the distribution or the HAL mailing list, see http://lists.freedesktop.org/mailman/listinfo/hal on how to subscribe. SEE ALSO hald(8), lshal(1), hal-get-property(1), hal-set-property(1), hal-find-by- property(1), hal-find-by-capability(1) AUTHOR Written by David Zeuthen<EMAIL_ADDRESS>with a lot of help from many others. HAL-IS-CALLER-LOCKED-OUT(1)


afs_syscall, break, fattach, fdetach, ftime, getmsg, getpmsg, gtty, isastream,
lock, madvise1, mpx, prof, profil, putmsg, putpmsg, security, stty, tuxcall,
ulimit, vserver - unimplemented system calls
Unimplemented system calls.
These system calls are not implemented in the Linux kernel.
These system calls always return -1 and set errno to ENOSYS.
Note that ftime(3), profil(3), and ulimit(3) are
implemented as library functions.
Some system calls, like alloc_hugepages(2),
free_hugepages(2), ioperm(2), iopl(2), and
vm86(2) exist only on certain architectures.
Some system calls, like ipc(2), create_module(2),
init_module(2), and delete_module(2) exist only when the Linux
kernel was built with support for them.
This page is part of release 5.05 of the Linux man-pages project. A
description of the project, information about reporting bugs, and the latest
version of this page, can be found at https://www.kernel.org/doc/man-pages/.


CSE 154: Web Programming
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Beachbum Berry Remixed
Enjoying that Jet Pilot? Do you like a good Zombie, Nui Nui, or Jungle Bird? Well, without Beachbum Berry’s Grog Log (1998) and Intoxica! (2002), we couldn’t have this conversation. These two groundbreaking books revealed the top-secret, never-before-published, “lost” exotic drink recipes from Tiki’s original midcentury heyday. The Bum has unearthed a lot more recipes since his first two books, and picked up a lot more drink lore too. He spills it all in Beachbum Berry Remixed, a completely revised and updated anthology of Grog Log and Intoxica!
In March 2012, Class magazine listed Remixed as one of its top 20 “must-have” cocktail books. Remixed is the book the Bum would have written first if he knew then what he knows now. Featuring 107 additional recipes: 41 newly discovered, previously unpublished vintage Tiki drink recipes; 43 of the best new recipes from today’s Tiki revival, gathered especially for Remixed from the world’s top mixologists and cocktail writers; and 23 new original recipes by the Bum. Plus full-color vintage graphics and original drink photography; expanded drink history and lore, incorporating newly discovered information about the origins of the Mai Tai and other legendary Tiki mysteries; and a revamped ingredient glossary with new product recommendations.
“A must-have manual for the tiki enthusiast.” — NEW ORLEANS TIMES-PICAYUNE
“Mr. Berry’s lasting contribution may be in salvaging tropical drinks from decades of bad bartending.” — THE NEW YORK TIMES
“Like the Indiana Jones of tiki, Jeff uncovers lost artefacts and recipes like no other and has catalogued the reprise of the tiki movement. He lives and breathes tiki and his books are an exact extension of his own personality, as all good books should be.” — CLASS MAGAZINE
REMIXED VIDEO TRAILERBUY NOW (Amazon)