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Base class for the overall top-level control for a page. The Page class
offers some simple page-level facilities: getting/setting the page title
(e.g., as an attribute in markup), cracking URL parameters, tracking changes
via a hashchange event, and creating pages that fill the viewport.
This page is an instance of a Page control.


About
Currently a rising senior at the University of North Carolina - Chapel Hill. My major is Informaiton and Library Sciences and my expected graduation is May 2016. I hope to be able to pursue a career in the technology industry. My interest include web development, computer engineering and audio engineering. I am a music enthusiast and I have an appreciateion for other art forms such as culinary arts and performing arts.
Assignments
My time spent in INLS 161 has added a number of abilities to my skill set. I have not only increased my proficiency with tools such as HTMl and CSS but, have I have also gained knowledge of GitHub, Document conversion, and numerous other resources. For a better representation of my work, please visit the Assignment tab.
Personal Projects
A brief synopsis of personal projects I have completed. I will post screenshots and links to articles I find interesting or beneficial to my understanding of information literacy; as well any helpful resources that I believe the class will find useful.


*** User 2017-05-05 19:48:32.434 ***
19:48:32.434 [info] Disabling blocking sync...
*** User 2017-05-05 19:48:32.439 ***
19:48:32.439 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-1@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 19:48:33.974 ***
19:48:33.974 [info] Enabling membership...
*** User 2017-05-05 19:48:33.975 ***
19:48:33.975 [info] Disabling blocking sync...
*** User 2017-05-05 19:48:33.981 ***
19:48:33.981 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-2@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 19:48:35.502 ***
19:48:35.502 [info] Enabling membership...
*** User 2017-05-05 19:48:35.503 ***
19:48:35.503 [info] Disabling blocking sync...
*** User 2017-05-05 19:48:35.508 ***
19:48:35.508 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-3@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 19:48:35.766 ***
Joining node: 'node-3@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 53652
*** User 2017-05-05 19:48:35.766 ***
Joining issued: 'node-3@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 53652
*** User 2017-05-05 19:48:35.767 ***
Joining node: 'node-2@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 53636
*** User 2017-05-05 19:48:35.768 ***
Joining issued: 'node-2@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 53636
*** User 2017-05-05 19:48:35.768 ***
Joining node: 'node-1@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 53623
*** User 2017-05-05 19:48:35.769 ***
Joining issued: 'node-1@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 53623
*** User 2017-05-05 19:48:35.829 ***
Waiting for join to complete with manager: partisan_default_peer_service_manager
*** User 2017-05-05 19:48:35.831 ***
Finished.
*** CT 2017-05-05 19:48:35.831 *** COVER INFO
Adding nodes to cover test: ['runner@MacBook-Pro-de-Anne-France']
*** CT 2017-05-05 19:48:35.840 *** COVER INFO
Successfully added nodes to cover test: []
*** User 2017-05-05 19:48:43.884 ***
Case finished: awset_ps_test
*** User 2017-05-05 19:48:50.930 ***
19:48:50.930 [info] Application lasp exited with reason: stopped
*** User 2017-05-05 19:48:50.931 ***
19:48:50.931 [info] Application partisan exited with reason: stopped
=== Ended at 2017-05-05 19:48:50
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


ED WOOD A film review by David Cowen Copyright 1994 David Cowen
Back when I was in high school I used to sit down in the basement watching TV late at night, hoping I'd find something bizarre or entertaining to watch. I'd flip through the channels seeing the same kind of banal fare typical of late-night TV ... but occasionally, flipping past PBS, something magical would happen--I'd flip to Glen or Glenda, Ed Wood's first film about cross-dressing, and spend the evening laughing and marveling as to where such a goofy piece of celluloid might come from. Now, years later I get the answer, in the form of a brilliantly crafted film by Tim Burton.
Ed Wood, a struggling studio worker in Hollywood, has bigger dreams--to write, direct, star in and produce his own film, just like his idol, Orson Welles. When Ed finds out a docudrama about cross-dressing is being made by a B-film company called "Screen Classics", he phones up the head of the "studio" and tells him that he's more qualified than anyone in town to make the film. His "special" qualification? Having an affinity for his girlfriend's angora sweaters.
Eventually, Ed gets the job, produces Glen or Glenda, and begins working on a string of horrendously bad pictures (the film examines the production of two more, the classic BRIDE OF THE MONSTER and PLAN 9 FROM OUTER SPACE) with an amazing amount of vigor and passion for his ... "art"--never before have I seen such unbridled enthusiasm for stilted dialogue, cardboard set pieces, and fake octopii. The film also explores Wood's friendship with Bela Lugosi, star of DRACULA, as he tries to make a former screen great a big star again ... even when that screen great dies before the production of the film.
Tim Burton could have done a straight biopic, documenting Woods "fall" into bad monster/nudie films (the abysmal ORGY OF THE DEAD is a standout), but instead Burton portrays Wood as enthusiastic, artistic, and full of life--a true believer in his films, as opposed to just a bored B-movie director. Wood's enthusiasm is radiated from Johnny Depp, who with wild-eyes and a big-toothed (yet somewhat maligned) smile makes even the worst of Wood's dialogue echo with poignancy--believe it or not.
The attention to detail is outstanding--I was lucky enough to catch BRIDE OF THE MONSTER on TV the night before, and except for a few minor differences, Burton went to a lot of trouble to capture the look and feel of the movie--and the actors deliver the lines with the same sort of stuttered bad-acting flair as in the originals. I felt I was getting a real look behind the sets. The entire film feels like it was directed by Wood himself, with extra-long establishing shots, the grey-and-white film stock, the lack of music except in points of highest schmaltz ... and at the theatre I was at, the frequent projector problems made it all the more realistic--the matte was set too high, so every time a boom mike got in the shot, there were squeals of laughter and applause.
Out of 10: 8. I haven't had this much fun at a movie in a long time. ED WOOD is funny, passionate, and if you've ever seen any of Ed Wood's work it'll be amazing to see how it was made. ED WOOD is a must-see for any self-proclaimed fan of bad cinema, or movies in general.
<EMAIL_ADDRESS>(Eschatfische!) -------------------------- http://execpc.com/~esch/home.html
.
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


UCINET IV DatasetsThe following pages describe the standard UCINET IV datasets provided with the program. Multirelational data are stored, when possible, in a single multirelational data file. Each relation within a multirelational set is labelled and information about the form of the data is described for each individual matrix.UCINET IV Version 1.0 DATASETS
BERNARD & KILLWORTH FRATERNITYDESCRIPTION Two 58×58 matrices:
BACKGROUND Bernard & Killworth, later with the help of Sailer, collected five sets of data on human interactions in bounded groups and on the actors' ability to recall those interactions. In each study they obtained measures of social interaction among all actors, and ranking data based on the subjects' memory of those interactions. The names of all cognitive (recall) matrices end in C, those of the behavioral measures in B.
These data concern interactions among students living in a fraternity at a
West Virginia college. All subjects had been residents in the fraternity
from three months to three years. REFERENCES
BERNARD & KILLWORTH HAM RADIODATASET DESCRIPTION Two 44×44 matrices.
BACKGROUND Bernard & Killworth, later with the help of Sailer, collected five sets of data on human interactions in bounded groups and on the actors' ability to recall those interactions. In each study they obtained measures of social interaction among all actors, and ranking data based on the subjects' memory of those interactions. The names of all cognitive (recall) matrices end in C, those of the behavioral measures in B.
REFERENCES In addition to the references in the previous section, see:
BERNARD & KILLWORTH OFFICEDATASET DESCRIPTION Two 40×40 matrices.
BACKGROUND Bernard & Killworth, later with the help of Sailer, collected five sets of data on human interactions in bounded groups and on the actors' ability to recall those interactions. In each study they obtained measures of social interaction among all actors, and ranking data based on the subjects' memory of those interactions. The names of all cognitive (recall) matrices end in C, those of the behavioral measures in B.
These data concern interactions in a small business office, again recorded
by an "unobtrusive" observer. Observations were made as the observer
patrolled a fixed route through the office every fifteen minutes during two
four-day periods. REFERENCES See citations to the previous datasets. BERNARD & KILLWORTH TECHNICALDATASET DESCRIPTION Two 34×34 matrices.
BACKGROUND Bernard & Killworth, later with the help of Sailer, collected five sets of data on human interactions in bounded groups and on the actors' ability to recall those interactions. In each study they obtained measures of social interaction among all actors, and ranking data based on the subjects' memory of those interactions. The names of all cognitive (recall) matrices end in C, those of the behavioral measures in B.
These data concern interactions in a technical research group at a West
Virginia university. REFERENCES See citations to the previous datasets. DAVIS SOUTHERN CLUB WOMENDATASET DESCRIPTION One 18×14 matrix, binary. BACKGROUND These data were collected by Davis et al in the 1930s. They represent observed attendance at 14 social events by 18 Southern women. The result is a person-by-event matrix: cell (i,j) is 1 if person i attended social event j, and 0 otherwise. REFERENCES
GAGNON & MACRAE PRISONDATASET DESCRIPTION One 67×67 matrix, non-symmetric, binary. BACKGROUND In the 1950s John Gagnon collected sociometric choice data from 67 prison inmates. All were asked, "What fellows on the tier are you closest friends with?" Each was free to choose as few or as many "friends" as he desired. The data were analyzed by MacRae and characterized by him as "less clear cut" in their internal structure than similar data from schools or residential populations. REFERENCE
KAPFERER MINEDATASET DESCRIPTION Two 15×15 matrices
BACKGROUND Bruce Kapferer (1969) collected data on men working on the surface in a mining operation in Zambia (then Northern Rhodesia). He wanted to account for the development and resolution of a conflict among the workers. The conflict centered on two men, Abraham and Donald; most workers ended up supporting Abraham.
Kapferer observed and recorded several types of interactions among the
workers, including conversation, joking, job assistance, cash assistance
and personal assistance. Unfortunately, he did not publish these data.
Instead, the matrices indicate the workers joined only by uniplex ties
(based on one relationship only, REFERENCES
KAPFERER TAILOR SHOPDATASET DESCRIPTION Four 39×39 matrices
BACKGROUND Bruce Kapferer (1972) observed interactions in a tailor shop in Zambia (then Northern Rhodesia) over a period of ten months. His focus was the changing patterns of alliance among workers during extended negotiations for higher wages. The matrices represent two different types of interaction, recorded at two different times (seven months apart) over a period of one month. TI1 and TI2 record the "instrumental" (work- and assistance-related) interactions at the two times; TS1 and TS2 the "sociational" (friendship, socioemotional) interactions. The data are particularly interesting since an abortive strike occurred after the first set of observations, and a successful strike took place after the second. REFERENCE
KNOKE BUREAUCRACIESDESCRIPTION Two 10×10 matrices.
BACKGROUND In 1978, Knoke & Wood collected data from workers at 95 organizations in Indianapolis. Respondents indicated with which other organizations their own organization had any of 13 different types of relationships.
Knoke and Kuklinski (1982) selected a subset of 10 organizations and two
relationships. Money exchange is recorded in
Sectors encoding ( REFERENCES
KRACKHARDT OFFICE CSSDATASET
DESCRIPTION Each file contains twenty-one 21×21 matrices. Matrix n gives actor n's perception of the whole network. BACKGROUND
David Krackhardt collected cognitive social structure data from 21
management personnel in a high-tech, machine manufacturing firm to
assess the effects of a recent management intervention program. The
relation queried was "Who does X go to for advice and help with work?"
( REFERENCE
NEWCOMB FRATERNITYDATASET DESCRIPTION Fifteen 17×17 matrices.
BACKGROUND These 15 matrices record weekly sociometric preference rankings from 17 men attending the University of Michigan in the fall of 1956; data from week 9 are missing. A "1" indicates first preference, and no ties were allowed. The men were recruited to live in off-campus (fraternity) housing, rented for them as part of the Michigan Group Study Project supervised by Theodore Newcomb from 1953 to 1956. All were incoming transfer students with no prior acquaintance of one another. REFERENCES
PADGETT FLORENTINE FAMILIESDATASET DESCRIPTION Two 16×16 matrices:
PADGW
One 16×3 matrix, valued. BACKGROUND Breiger & Pattison (1986), in their discussion of local role analysis, use a subset of data on the social relations among Renaissance Florentine families (person aggregates) collected by John Padgett from historical documents. The two relations are business ties (PADGB - specifically, recorded financial ties such as loans, credits and joint partnerships) and marriage alliances (PADGM).
As Breiger & Pattison point out, the original data are symmetrically
coded. This is acceptable perhaps for marital ties, but is unfortunate for the
financial ties (which are almost certainly directed). To remedy this, the
financial ties can be recoded as directed relations using some external
measure of power - for instance, a measure of wealth. Substantively, the data include families who were locked in a struggle for political control of the city of Florence in around 1430. Two factions were dominant in this struggle: one revolved around the infamous Medicis (9), the other around the powerful Strozzis (15). REFERENCES
READ HIGHLAND TRIBESDATASET DESCRIPTION Two 16×16 matrices
BACKGROUND Hage & Harary (1983) use the Gahuku-Gama system of the Eastern Central Highlands of New Guinea, described by Read (1954), to illustrate a clusterable signed graph. Read's ethnography portrayed an alliance structure among three tribal groups containing balance as a special case; among Gahuku-Gama the enemy of an enemy can be either a friend or an enemy.
The signed graph has been split into two matrices: REFERENCES
ROETHLISBERGER & DICKSON BANK WIRING ROOMDATASET DESCRIPTION Six 14×14 matrices
BACKGROUND
These are the observational data on 14 Western Electric (Hawthorne Plant)
employees from the bank wiring room first presented in Roethlisberger &
Dickson (1939). The data are better known through a scrutiny made of the
interactions in Homans (1950), and the
The employees worked in a single room and include two inspectors (I1
and I3), three solderers (S1, S2 and S3), and nine wiremen or assemblers
(W1 to W9). The interaction categories include: REFERENCES
SAMPSON MONASTERYDATASET DESCRIPTION Ten 18×18 matrices
BACKGROUND Sampson recorded the social interactions among a group of monks while resident as an experimenter on vision, and collected numerous sociometric rankings. During his stay, a political "crisis in the cloister" resulted in the expulsion of four monks (Nos. 2, 3, 17, and 18) and the voluntary departure of several others - most immediately, Nos. 1, 7, 14, 15, and 16. (In the end, only 5, 6, 9, and 11 remained).
Most of the present data are retrospective, collected after the breakup
occurred. They concern a period during which a new cohort entered the
monastery near the end of the study but before the major conflict began.
The exceptions are "liking" data gathered at three times:
Four relations are coded, with separate matrices for positive and negative
ties on the relation. Each member ranked only his top three choices on that
tie. The relations are esteem ( REFERENCES
SCHWIMMER TARO EXCHANGEDATASET DESCRIPTION One 22×22 matrix, symmetric, binary. BACKGROUND These data represent the relation of gift-giving (taro exchange) among 22 households in a Papuan village. Hage & Harary (1983) used them to illustrate a graph hamiltonian cycle. Schwimmer points out how these ties function to define the appropriate persons to mediate the act of asking for or receiving assistance among group members. REFERENCES
STOKMAN-ZIEGLER CORPORATE INTERLOCKSDESCRIPTION
BACKGROUND
These data come from a six-year research project, concluded in 1976, on
corporate power in nine European countries and the United States. Each
matrix represents corporate interlocks among the major business entities
of two countries - the Netherlands ( The volume describing this study, referenced below, includes six chapters on network theoretical and analytical issues related to data of this type. REFERENCES
THURMAN OFFICEDATASET DESCRIPTION Two 15×15 matrices
BACKGROUND Thurman spent 16 months observing the interactions among employees in the overseas office of a large international corporation. During this time, two major disputes erupted in a subgroup of fifteen people. Thurman analyzed the outcome of these disputes in terms of the network of formal and informal associations among those involved.
REFERENCE
WOLFE PRIMATESDESCRIPTION WOLF: Two 20×20 matrices
WOLFI : One 20×4 matrix, valued.
BACKGROUND
These data represent 3 months of interactions among a troop of monkeys,
observed in the wild by Linda Wolfe as they sported by a river in Ocala,
Florida. Joint presence at the river was coded as an interaction and these
were summed within all pairs (
ZACHARY KARATE CLUBDATASET DESCRIPTION Two 34×34 matrices.
BACKGROUND
These are data collected from the members of a university
karate club by Wayne Zachary. The Zachary (1977) used these data and an information flow model of network conflict resolution to explain the split-up of this group following disputes among the members. REFERENCE
|


Descriptor class for scenes. See PxScene. More...
#include <PxSceneDesc.h>
Public Member Functions | |
| PX_INLINE | PxSceneDesc (const PxTolerancesScale &scale) |
| constructor sets to default. More... | |
| PX_INLINE void | setToDefault (const PxTolerancesScale &scale) |
| (re)sets the structure to the default. More... | |
| PX_INLINE bool | isValid () const |
| Returns true if the descriptor is valid. More... | |
Public Attributes | |
| PxVec3 | gravity |
| Gravity vector. More... | |
| PxSimulationEventCallback * | simulationEventCallback |
| Possible notification callback. More... | |
| PxContactModifyCallback * | contactModifyCallback |
| Possible asynchronous callback for contact modification. More... | |
| PxCCDContactModifyCallback * | ccdContactModifyCallback |
| Possible asynchronous callback for contact modification. More... | |
| const void * | filterShaderData |
| Shared global filter data which will get passed into the filter shader. More... | |
| PxU32 | filterShaderDataSize |
| Size (in bytes) of the shared global filter data filterShaderData. More... | |
| PxSimulationFilterShader | filterShader |
| The custom filter shader to use for collision filtering. More... | |
| PxSimulationFilterCallback * | filterCallback |
| A custom collision filter callback which can be used to implement more complex filtering operations which need access to the simulation state, for example. More... | |
| PxPairFilteringMode::Enum | kineKineFilteringMode |
| Filtering mode for kinematic-kinematic pairs in the broadphase. More... | |
| PxPairFilteringMode::Enum | staticKineFilteringMode |
| Filtering mode for static-kinematic pairs in the broadphase. More... | |
| PxBroadPhaseType::Enum | broadPhaseType |
| Selects the broad-phase algorithm to use. More... | |
| PxBroadPhaseCallback * | broadPhaseCallback |
| Broad-phase callback. More... | |
| PxSceneLimits | limits |
| Expected scene limits. More... | |
| PxFrictionType::Enum | frictionType |
| Selects the friction algorithm to use for simulation. More... | |
| PxSolverType::Enum | solverType |
| Selects the solver algorithm to use. More... | |
| PxReal | bounceThresholdVelocity |
| A contact with a relative velocity below this will not bounce. A typical value for simulation. stability is about 0.2 * gravity. More... | |
| PxReal | frictionOffsetThreshold |
| A threshold of contact separation distance used to decide if a contact point will experience friction forces. More... | |
| PxReal | ccdMaxSeparation |
| A threshold for speculative CCD. Used to control whether bias, restitution or a combination of the two are used to resolve the contacts. More... | |
| PxReal | solverOffsetSlop |
| A slop value used to zero contact offsets from the body's COM on an axis if the offset along that axis is smaller than this threshold. Can be used to compensate for small numerical errors in contact generation. More... | |
| PxSceneFlags | flags |
| Flags used to select scene options. More... | |
| PxCpuDispatcher * | cpuDispatcher |
| The CPU task dispatcher for the scene. More... | |
| PxCudaContextManager * | cudaContextManager |
| The CUDA context manager for the scene. More... | |
| PxPruningStructureType::Enum | staticStructure |
| Defines the structure used to store static objects. More... | |
| PxPruningStructureType::Enum | dynamicStructure |
| Defines the structure used to store dynamic objects. More... | |
| PxU32 | dynamicTreeRebuildRateHint |
| Hint for how much work should be done per simulation frame to rebuild the pruning structure. More... | |
| PxSceneQueryUpdateMode::Enum | sceneQueryUpdateMode |
| Defines the scene query update mode. Default: PxSceneQueryUpdateMode::eBUILD_ENABLED_COMMIT_ENABLED. More... | |
| void * | userData |
| Will be copied to PxScene::userData. More... | |
| PxU32 | solverBatchSize |
| Defines the number of actors required to spawn a separate rigid body solver island task chain. More... | |
| PxU32 | solverArticulationBatchSize |
| Defines the number of articulations required to spawn a separate rigid body solver island task chain. More... | |
| PxU32 | nbContactDataBlocks |
| Setting to define the number of 16K blocks that will be initially reserved to store contact, friction, and contact cache data. This is the number of 16K memory blocks that will be automatically allocated from the user allocator when the scene is instantiated. Further 16k memory blocks may be allocated during the simulation up to maxNbContactDataBlocks. More... | |
| PxU32 | maxNbContactDataBlocks |
| Setting to define the maximum number of 16K blocks that can be allocated to store contact, friction, and contact cache data. As the complexity of a scene increases, the SDK may require to allocate new 16k blocks in addition to the blocks it has already allocated. This variable controls the maximum number of blocks that the SDK can allocate. More... | |
| PxReal | maxBiasCoefficient |
| The maximum bias coefficient used in the constraint solver. More... | |
| PxU32 | contactReportStreamBufferSize |
| Size of the contact report stream (in bytes). More... | |
| PxU32 | ccdMaxPasses |
| Maximum number of CCD passes. More... | |
| PxReal | ccdThreshold |
| CCD threshold. More... | |
| PxReal | wakeCounterResetValue |
| The wake counter reset value. More... | |
| PxBounds3 | sanityBounds |
| The bounds used to sanity check user-set positions of actors and articulation links. More... | |
| PxgDynamicsMemoryConfig | gpuDynamicsConfig |
| The pre-allocations performed in the GPU dynamics pipeline. More... | |
| PxU32 | gpuMaxNumPartitions |
| Limitation for the partitions in the GPU dynamics pipeline. This variable must be power of 2. A value greater than 32 is currently not supported. Range: (1, 32) More... | |
| PxU32 | gpuComputeVersion |
| Defines which compute version the GPU dynamics should target. DO NOT MODIFY. More... | |
Descriptor class for scenes. See PxScene.
This struct must be initialized with the same PxTolerancesScale values used to initialize PxPhysics.
| PxReal PxSceneDesc::bounceThresholdVelocity |
A contact with a relative velocity below this will not bounce. A typical value for simulation. stability is about 0.2 * gravity.
Range: [0, PX_MAX_F32)
Default: 0.2 * PxTolerancesScale::speed
Referenced by isValid().
| PxBroadPhaseCallback* PxSceneDesc::broadPhaseCallback |
| PxBroadPhaseType::Enum PxSceneDesc::broadPhaseType |
| PxCCDContactModifyCallback* PxSceneDesc::ccdContactModifyCallback |
Possible asynchronous callback for contact modification.
Default: NULL
| PxU32 PxSceneDesc::ccdMaxPasses |
Maximum number of CCD passes.
The CCD performs multiple passes, where each pass every object advances to its time of first impact. This value defines how many passes the CCD system should perform.
Default: 1 Range: [1, PX_MAX_U32]
| PxReal PxSceneDesc::ccdMaxSeparation |
A threshold for speculative CCD. Used to control whether bias, restitution or a combination of the two are used to resolve the contacts.
Range: [0, PX_MAX_F32)
Default: 0.04 * PxTolerancesScale::length
Referenced by isValid().
| PxReal PxSceneDesc::ccdThreshold |
CCD threshold.
CCD performs sweeps against shapes if and only if the relative motion of the shapes is fast-enough that a collision would be missed by the discrete contact generation. However, in some circumstances, e.g. when the environment is constructed from large convex shapes, this approach may produce undesired simulation artefacts. This parameter defines the minimum relative motion that would be required to force CCD between shapes. The smaller of this value and the sum of the thresholds calculated for the shapes involved will be used.
Default: PX_MAX_F32 Range: [Eps, PX_MAX_F32]
Referenced by isValid().
| PxContactModifyCallback* PxSceneDesc::contactModifyCallback |
Possible asynchronous callback for contact modification.
Default: NULL
| PxU32 PxSceneDesc::contactReportStreamBufferSize |
Size of the contact report stream (in bytes).
The contact report stream buffer is used during the simulation to store all the contact reports. If the size is not sufficient, the buffer will grow by a factor of two. It is possible to disable the buffer growth by setting the flag PxSceneFlag::eDISABLE_CONTACT_REPORT_BUFFER_RESIZE. In that case the buffer will not grow but contact reports not stored in the buffer will not get sent in the contact report callbacks.
Default: 8192
Range: (0, PX_MAX_U32]
Referenced by isValid().
| PxCpuDispatcher* PxSceneDesc::cpuDispatcher |
The CPU task dispatcher for the scene.
See PxCpuDispatcher, PxScene::getCpuDispatcher
Referenced by isValid().
| PxCudaContextManager* PxSceneDesc::cudaContextManager |
The CUDA context manager for the scene.
Platform specific: Applies to PC GPU only.
See PxCudaContextManager, PxScene::getCudaContextManager
| PxPruningStructureType::Enum PxSceneDesc::dynamicStructure |
Defines the structure used to store dynamic objects.
| PxU32 PxSceneDesc::dynamicTreeRebuildRateHint |
Hint for how much work should be done per simulation frame to rebuild the pruning structure.
This parameter gives a hint on the distribution of the workload for rebuilding the dynamic AABB tree pruning structure PxPruningStructureType::eDYNAMIC_AABB_TREE. It specifies the desired number of simulation frames the rebuild process should take. Higher values will decrease the workload per frame but the pruning structure will get more and more outdated the longer the rebuild takes (which can make scene queries less efficient).
Range: [4, PX_MAX_U32)
Default: 100
Referenced by isValid().
| PxSimulationFilterCallback* PxSceneDesc::filterCallback |
A custom collision filter callback which can be used to implement more complex filtering operations which need access to the simulation state, for example.
Default: NULL
| PxSimulationFilterShader PxSceneDesc::filterShader |
The custom filter shader to use for collision filtering.
Referenced by isValid().
| const void* PxSceneDesc::filterShaderData |
Shared global filter data which will get passed into the filter shader.
Default: NULL
Referenced by isValid().
| PxU32 PxSceneDesc::filterShaderDataSize |
Size (in bytes) of the shared global filter data filterShaderData.
Default: 0
Referenced by isValid().
| PxSceneFlags PxSceneDesc::flags |
| PxReal PxSceneDesc::frictionOffsetThreshold |
A threshold of contact separation distance used to decide if a contact point will experience friction forces.
Range: [0, PX_MAX_F32)
Default: 0.04 * PxTolerancesScale::length
Referenced by isValid().
| PxFrictionType::Enum PxSceneDesc::frictionType |
Selects the friction algorithm to use for simulation.
| PxU32 PxSceneDesc::gpuComputeVersion |
Defines which compute version the GPU dynamics should target. DO NOT MODIFY.
| PxgDynamicsMemoryConfig PxSceneDesc::gpuDynamicsConfig |
The pre-allocations performed in the GPU dynamics pipeline.
| PxU32 PxSceneDesc::gpuMaxNumPartitions |
Limitation for the partitions in the GPU dynamics pipeline. This variable must be power of 2. A value greater than 32 is currently not supported. Range: (1, 32)
Referenced by isValid().
| PxVec3 PxSceneDesc::gravity |
Gravity vector.
Range: force vector
Default: Zero
When setting gravity, you should probably also set bounce threshold.
| PxPairFilteringMode::Enum PxSceneDesc::kineKineFilteringMode |
Filtering mode for kinematic-kinematic pairs in the broadphase.
Default: PxPairFilteringMode::eDEFAULT
| PxSceneLimits PxSceneDesc::limits |
| PxReal PxSceneDesc::maxBiasCoefficient |
The maximum bias coefficient used in the constraint solver.
When geometric errors are found in the constraint solver, either as a result of shapes penetrating or joints becoming separated or violating limits, a bias is introduced in the solver position iterations to correct these errors. This bias is proportional to 1/dt, meaning that the bias becomes increasingly strong as the time-step passed to PxScene::simulate(...) becomes smaller. This coefficient allows the application to restrict how large the bias coefficient is, to reduce how violent error corrections are. This can improve simulation quality in cases where either variable time-steps or extremely small time-steps are used.
Default: PX_MAX_F32
Range [0, PX_MAX_F32]
| PxU32 PxSceneDesc::maxNbContactDataBlocks |
Setting to define the maximum number of 16K blocks that can be allocated to store contact, friction, and contact cache data. As the complexity of a scene increases, the SDK may require to allocate new 16k blocks in addition to the blocks it has already allocated. This variable controls the maximum number of blocks that the SDK can allocate.
In the case that the scene is sufficiently complex that all the permitted 16K blocks are used, contacts will be dropped and a warning passed to the error stream.
If a warning is reported to the error stream to indicate the number of 16K blocks is insufficient for the scene complexity then the choices are either (i) re-tune the number of 16K data blocks until a number is found that is sufficient for the scene complexity, (ii) to simplify the scene or (iii) to opt to not increase the memory requirements of physx and accept some dropped contacts.
Default: 65536
Range: [0, PX_MAX_U32]
Referenced by isValid().
| PxU32 PxSceneDesc::nbContactDataBlocks |
Setting to define the number of 16K blocks that will be initially reserved to store contact, friction, and contact cache data. This is the number of 16K memory blocks that will be automatically allocated from the user allocator when the scene is instantiated. Further 16k memory blocks may be allocated during the simulation up to maxNbContactDataBlocks.
Default: 0
Range: [0, PX_MAX_U32]
Referenced by isValid().
| PxBounds3 PxSceneDesc::sanityBounds |
The bounds used to sanity check user-set positions of actors and articulation links.
These bounds are used to check the position values of rigid actors inserted into the scene, and positions set for rigid actors already within the scene.
Range: any valid PxBounds3
Default: (-PX_MAX_BOUNDS_EXTENTS, PX_MAX_BOUNDS_EXTENTS) on each axis
Referenced by isValid().
| PxSceneQueryUpdateMode::Enum PxSceneDesc::sceneQueryUpdateMode |
Defines the scene query update mode. Default: PxSceneQueryUpdateMode::eBUILD_ENABLED_COMMIT_ENABLED.
| PxSimulationEventCallback* PxSceneDesc::simulationEventCallback |
Possible notification callback.
Default: NULL
| PxU32 PxSceneDesc::solverArticulationBatchSize |
Defines the number of articulations required to spawn a separate rigid body solver island task chain.
This parameter defines the minimum number of articulations required to spawn a separate rigid body solver task chain. Setting a low value will potentially cause more task chains to be generated. This may result in the overhead of spawning tasks can become a limiting performance factor. Setting a high value will potentially cause fewer islands to be generated. This may reduce thread scaling (fewer task chains spawned) and may detrimentally affect performance if some bodies in the scene have large solver iteration counts because all constraints in a given island are solved by the maximum number of solver iterations requested by any body in the island.
Note that a rigid body solver task chain is spawned as soon as either a sufficient number of rigid bodies or articulations are batched together.
Default: 128
| PxU32 PxSceneDesc::solverBatchSize |
Defines the number of actors required to spawn a separate rigid body solver island task chain.
This parameter defines the minimum number of actors required to spawn a separate rigid body solver task chain. Setting a low value will potentially cause more task chains to be generated. This may result in the overhead of spawning tasks can become a limiting performance factor. Setting a high value will potentially cause fewer islands to be generated. This may reduce thread scaling (fewer task chains spawned) and may detrimentally affect performance if some bodies in the scene have large solver iteration counts because all constraints in a given island are solved by the maximum number of solver iterations requested by any body in the island.
Note that a rigid body solver task chain is spawned as soon as either a sufficient number of rigid bodies or articulations are batched together.
Default: 128
| PxReal PxSceneDesc::solverOffsetSlop |
A slop value used to zero contact offsets from the body's COM on an axis if the offset along that axis is smaller than this threshold. Can be used to compensate for small numerical errors in contact generation.
Range: [0, PX_MAX_F32)
Default: 0.0
Referenced by isValid().
| PxSolverType::Enum PxSceneDesc::solverType |
| PxPairFilteringMode::Enum PxSceneDesc::staticKineFilteringMode |
Filtering mode for static-kinematic pairs in the broadphase.
Default: PxPairFilteringMode::eDEFAULT
| PxPruningStructureType::Enum PxSceneDesc::staticStructure |
Defines the structure used to store static objects.
Referenced by isValid().
| void* PxSceneDesc::userData |
Will be copied to PxScene::userData.
Default: NULL
| PxReal PxSceneDesc::wakeCounterResetValue |
The wake counter reset value.
Calling wakeUp() on objects which support sleeping will set their wake counter value to the specified reset value.
Range: (0, PX_MAX_F32)
Default: 0.4 (which corresponds to 20 frames for a time step of 0.02)
Referenced by isValid().


{% extends "base.html" %} {% block title %}WattTime: Join Us{% endblock %} {% block content %}
Jump on in and get involved! Sign up for WattTime to receive personalized alerts, track your imapct, and be the first to hear about new ways to participate. And you can always say hello and follow our progress on Twitter and Facebook.
At WattTime, we spend our days crafting ever more powerful, easy, and fun means for people to have a choice in their own energy supply. Sound great to you? Get involved! We're open source, open data, and open to your contributions—please do get in touch! Now's a particularly exciting time to get involved if you like working on mobile, social, Internet of Things, satellite imaging (yes really), or energy economics.


A source of randomly-timed pulses. A pulse is a square wave pulse plus a trigger.
As incoming pulses arrive, with some probability a counter is increased. When the counter reaches a certain value, it is reset to 0 and Geiger changes from 0 to 1 or vice versa, and issues a pulse.
- Trials
- The size of the counter. If 1, then Geiger just outputs a pulse with the given probability every time it receives a pulse. If >= 1, then pulses are more regular (the variance is decreased) but also corresponsingly slower in rate.
- Prob
- The probability that the counter will be increased on an incoming pulse.
- Trigger
- The incoming pulses
- Seed
- The random number seed, to guarantee determinism in the pulses. If Free, then Geiger is nondeterministic.
- Pulsing
- After raising from 0 to 1, Geiger will always drop back to 0 on the next incoming pulse; and when dropping it will not issue a trigger. This produces an up/down effect rather than changing from 0 to 1 or vice versa.


One inmate who escaped from Saskatoon psych centre arrested; another remains at large
by Saskatoon StarPhoenixTwo men were reported missing Wednesday night from the federal psychiatric facility on Central Avenue.
One of two inmates who escaped from the Saskatoon Regional Psychiatric Centre remains at large.
Kendal Lee Campeau, 29, was arrested without incident on Thursday around 1:45 a.m. at a residence in the 500 block of Douglas Crescent by members of the Saskatoon police guns and gangs unit, with assistance from patrol and canine units.
Matthew Shaundel Michel, 24, remains out of custody. He is described as 5-foot-5 and 146 pounds. He was last seen wearing all black clothing.
Campeau and Michel were reported missing from the federal facility on Wednesday around 8:40 p.m., police told the StarPhoenix. Tim Krause, assistant warden management services at the psychiatric centre, said the escape happened at the institution itself and not during any transport or out-of-facility excursion.
The centre is located on Central Avenue, on land leased from the University of Saskatchewan’s North Management Area.
The institution is not identifying the level of security under which the two inmates are being held. RPC has minimum-, medium- and maximum-security inmates.
Both men are considered violent, according to Saskatoon police. There were no injuries associated with the escape, Krause said.
When RPC staff realized there were patients unaccounted for and that there may have been an escape, an emergency lockdown and count were implemented. RPC remained under lockdown Thursday morning, which means patients are confined to their cells until normal operations can resume. The lockdown also means no visitors are allowed.
In 2010, Campeau was sentenced to 3-1/2 years in prison after pleading guilty to charges of attempted escape, kidnapping and forcibly seizing three guards at the Saskatoon Correctional Centre while armed with shanks made from an oven rack. He and two other inmates were drunk on prison-made alcohol and hand sanitizer when they forced their way into a staff office at the facility, holding weapons to the guards’ throats and demanding their keys.
People living in the area of the psychiatric centre, located in the 2500 block of Central Avenue, were advised to lock their vehicles, homes and outbuildings and were reminded to remove any spare keys left in vehicles.
Anyone who believes they may have spotted Michel or who might have information on his whereabouts, is asked to contact Saskatoon police at<PHONE_NUMBER> or Crime Stoppers at 1-800-222-8477.


Girlfriend testifies at trial of man in death of his fiancee
CRIPPLE CREEK, Colo. (AP) - A former nurse who says she tampered with evidence to cover up the killing of her boyfriend’s fiancee has taken the stand at his murder trial in Colorado.
Krystal Lee Kenney was testifying Wednesday at the trial of 33-year-old Patrick Frazee, who has denied killing 29-year-old Kelsey Berreth.
She was last seen nearly a year ago with the couple’s daughter near her home in Woodland Park, about two hours south of Denver.
Kenney, who was a nurse in Idaho, pleaded guilty to evidence tampering for moving Berreth’s cellphone.
Attorneys focused much of their opening statements last week on Kenney. Prosecutors told jurors Frazee asked her at least three times to kill Berreth. The defense questioned Kenney’s honesty, saying she lied to the FBI.
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Please read our comment policy before commenting.


THE CELL A film review by Mark R. Leeper
Capsule: Yet another serial killer plot, but one with some difference. This one becomes a sort of FANTASTIC VOYAGE of the mind crossed with NATURAL BORN KILLERS. A psychologist travels within the mind and visions of the serial killer (and vice versa) in a race to save a victim from a deathtrap. The film has some remarkable visions in an otherwise pedestrian plot. There are lots of intriguing ideas floating in this film of psychology made visual. Be warned that the visuals and even the dialog are a harrowing experience. Rating: 7 (0 to 10), +2 (-4 to +4)
THE CELL is one more story of the FBI trying to catch a serial killer and free his captives. But when it seemed that there was not much more that could be done with that tired plot, this film has some refreshing new ideas. It is the premise that some unspecified technological advance allows psychotic and psychologist to enter the other's dreams and walk around in that surreal landscape. Similar ideas have been tried before in films. In SPELLBOUND, Alfred Hitchcock took us through the mind of a neurotic's nightmare in a symbolic surreal world designed by Salvador Dali. The concepts of actually visiting inside another person's mind or dreams were explored in DREAMSCAPE and BRAINSTORM. The latter film even suggested that there was a particular danger being inside a psychotic's mind. NATURAL BORN KILLERS suggests a natural disorder to a psychotic's mind, though it explores that disorder without use of science fictional devices. All these ideas come together in an otherwise simplistic violent serial killer plot.
Catherine Deane (played by Jennifer Lopez) is a psychologist trying to get into the mind of her young patient, Edward. A new device allows her to do it in a much more direct fashion than what we see used today. The invention lets her visualize his mind and dreams and actually become a character inside of them. It is a tremendous leap toward understanding her patient. And the vistas within his mind are strange even if the boy has a rather standard normal mind. Then Deane is given an opportunity to enter a most unusual mind. The FBI has captured a serial killer, Carl Stargher (Vincent D'Onofrio), and has him under sedation. But his most recent target is still alive in a death trap somewhere.
FBI agent Peter Novak (Vince Vaughn) would like Deane to go into Stargher's twisted, violent mind and retrieve a clue as to where he is hiding and torturing his current victim. That said, there is not much more plot to the film. The serial killer plot is abbreviated and for the most part predictable. The real story goes on inside the heads of Deane and Stargher and we see it as fantasy worlds.
The success of THE CELL becomes very much the property of production designer Tom Foden (of cable TV's "The Hunger") and art directors Guy Dyas and Michael Manson. Dyas is debuting as an art director, but he has been a production illustrator on several major films including MEN IN BLACK, MIMIC, ARMAGEDDON, and GALAXY QUEST. The worlds this team created in Stargher's mind are dank and forbidding, twisted, dark and bloody. Religion is an important aspect of both Deane's and Stargher's mindscapes but it has very different roles in each of those worlds. Each uses religion in a different way. There are many other tantalizing ideas floating around. There is a strong hint that two different people seeing the same subconscious world will see it quite differently yet each will find the others actions consistent with the world they see.
First-time film director Tarsem Singh directs a script by first-time writer Mark Protosevich. Singh intentionally mutes the colors of the film to heighten the oppressive effect. So much of the film is taken up with the fantasy world action, the real world story is somewhat shorted. How Stargher was able to build his ornate torture device leaves many unanswered questions. Other writing problems are obvious. The film had a nearly perfect ending very shortly after the action ends. Unfortunately the film keeps going to tie things up more pleasantly and warmly and out of keeping with the cold style of the best of what had preceded it.
The viewing public hardly needed another serial killer film. But if another must be made, at least this is the way to do it. Combine it with something fresh and creative with ideas. I rate THE CELL a 7 on the 0 to 10 scale and a +2 on the -4 to +4 scale.
Mark R. Leeper<EMAIL_ADDRESS>Copyright 2000 Mark R. Leeper
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


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The Web Of The Future - Knockout Components
Yo! Here are some examples of using knockout components! Enjoy!


We are completely focused on others. Selfish motives are lame and don’t fit here.
We give without thought of what we might get back. It's all about helping others.
Domain expertise doesn’t put anyone above anyone else. We put ourselves beneath those we serve.
This isn’t anyone’s job but it’s important and we can do it, so we believe that means we should.
Becca Neblock
Content Queenbee
Brandon Frisch
Sir Speaks with Eaze
Brian Jesse
Rocket Surgeon
Cody Sherman
The Code Man
Connor Joyce
ISU Student #737
Dave Seng
Lederhosen Procurer
Hani Ahmed
Bust a Move
Jason Lerblance
The Google Godfather
Joe Ciccolo
Purveyor of Compliance
Mark.Williams
The Pen is Mighter than the Code
Matt Christensen
Double O 9 on a Half Shell
Michael.Guarienti
Mr. Happy Graphics
Rebecca.Barber
Turns Tea to Code
Ryan Spears
Juice Box Guy
Taylor Roop
www.jediknight.https
Zack Weber
The Most Funnest Guy Eva
Brandon Burton
Backend Devbegin
Michael Somers
Excited to be Here
Shubhang Desai
But I Wanted to Do the Sorority Squat
Ryan Greene
Linux Battle Warrior
David Schiller
Can't We All Get Along
Brian Jesse
This Just Got Weird
Cody Sherman
The Man with The Golden Code
Michael Somers
It's Way Past my Bed Time
Brian Jesse
Roadtrip Coderpilot
Joe Ciccolo
bitman
Brandon Burton
Where did the Music Go
Cody Sherman
Coding Sweetheart
Becca Neblock
Locally.ai
Ryan Greene
db controll.connect
Shubhang Desai
Check Out My New Hair Cut
Michael Somers
Coding by his Bootstraps
Becca Neblock
Iconic.psd
Thoma White
<EMAIL_ADDRESS>Brian Jesse
Remote Hacker Selfie
Brandon Burton
It's Code
Shubhang Desai
That's a Rap Pose Man
Ryan Greene
Yeah.Man
Cody Sherman
Dude Somebody Play the Muszak
Michael Somers
CSS3 Transformer
Alec Troemel
Mirus neg z-index
Brian Jesse
Fully immersed in reality
Cody Sherman
For Frow Doh
Cristian Sandu
Pizza's Still Cold
Derick Downey
Da Prof
Jared Musil
Quality Guy
Johnmark Beaty
On the Mark John
Michael Somers
Co-instigator
Robbie Osenga
Co-instigator
Brandon Burton
Thirsty
Cody Sherman
Can't we all get along?
Chris Weiher
Watching you work
Cristian Sandu
Why hello
Johnmark Beaty
Load balanced
Brandon Burton
Stoic
Brian Jesse
Space Pirate Trainer Corporal
Cody Sherman
Outa poses
Cristian Sandu
Look it's a
Johnmark Beaty
It's bright out


Theme - Battle of the bands
Rules:
5 to 6 participants per team.
Participants have to bring their own instruments.
Song duration: 5-10 mins.
Pick any TV show of your choice and do a parody of it.
Theme - Mocking a TV show
Rules:
6 to 8 participants per team.
Id cards should be carried by the
participants at all times/p>
Style simple and "boring" clothes into what you would wear for a fashion show.
Theme - Waking up Boujee and Uninterested
Rules:
6 to 8 participants from each team.
Music, according to the team's preference, should
be brought in a pen drive.
Show off your magical dance skills.
Theme - Reality of a fairytale
Rules:
6 to 8 participants per school.
Id cards should be carried by the participants at all times
Show off your magical dance skills.
Theme - To be decided on the spot
Rules: 3 Participants from each school.


This blog is an extension to my previous blog post about Malaria detection using cell images and Deep Convolution Neural networks in Keras! In this blog, we will learn how to create a simple web and android application and deploy our deep learning models in cloud so that we can showcase our work to other people. This android application can detect and categorize 6 diseases - Malaria using cell images, Brain Tumor detection using MRI scans, Pneumonia using chest X-ray images, Retinal diseases using Optical Coherence Tomography images, Nonproliferative Diabetes Retinopathy disease and Invasive Ductal Carcinoma using breast cancer histopathology images. All the models are trained on the publicly available datasets from Kaggle....
Saugata Paul Jul 26 2019
In this case study, we will learn how to detect Malaria using cell images and CNN architectures. With the advancement in Deep Learning architectures, this is fairly easy. Our objective for this case study would be to develop a system which can detect this deadly disease without having to rely entirely on medical tests. Remember the song ‘Sardi, Khasi na Malaria Hua’ from the famous 90's Hindi movie ‘Raju Ban Gaya Gentleman’ ?
Saugata Paul Jun 21 2019
Social tagging of movies reveals a lot of contrasting and unrelated information about movies like which genre a particular movie belongs to, it’s plot structure, information about it’s soundtracks, movie metadata, visual and emotional experiences. These information can be leveraged to design robust and automated systems which create tags for movies. Automated tagging can help search engines and recommendation systems to extract information about similar movies based on their tags and also help audiences to get an idea about what to expect from a movie in advance....
Saugata Paul Jun 16 2019
Ensemble learning is a strategy in which a group of models are used to solve a challenging problem, by strategically combining diverse machine learning models into one single predictive model. In general, ensemble methods are primarily used to improve the overall performance accuracy of a model and combine several different models, also known as the base learners, to predict the results, instead of using a single model....
Saugata Paul Nov 30 2018
Before giving you the definition of Balanced dataset let me give you an example for your better understanding, lets assume I have a dataset with thousand data points and I name it “N”. So now N = 1000 data points, & N have two different classes one is N1 and another one is N2. Inside the N1 there have 580 data points and inside the N2 there have 420 data points. N1 have positive (+Ve) data points and N2 have negative (-Ve) data points. So we can say that the number of data points of N1 and N2 is almost similar than each other....
Suvhradip Ghosh Jul 03 2019


Case Against Foreign Nationals Arrested At UNHCR Offices Postponed
by NT EditorThe case against over 180 refugees arrested following clashes with police outside the offices of the United Nations High Commission office in Brooklyn was heard in the Pretoria Magistrates Court on Monday.
Over 500 refugees were removed from the premises on Friday after camping outside the agency for over a month.
They want to be relocated to another country following a spate of xenophobic attacks in South Africa.
About 185 refugees appeared in groups of roughly 30 in court because they could not all be accommodated at once.
They were arrested last week for trespassing after they allegedly tried to force their way back into the UNHCR offices where police were carrying out a court order to remove them.
Most of those appearing on Monday were men and Congolese nationals. The majority said they wanted to get their own legal representation.
The magistrate has postponed their case to Thursday to allow officials time to verify their statuses and to check whether they had any other pending convictions.
Shortly after the magistrate adjourned court the group of refugees sang “no more South Africa” as they were escorted by police back into custody.


Since there's no reliable programmatic way to test for transitions, this is a simple page set up so you can visually inspect effects conveniently.


Friend Finder
Answer a few basic questions.
Then find the friend with the greatest compatability!
Start Survey


UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>VMware Extended Support Service Scope
About this document
This article describes the boundaries of the UKCloud VMware Extended Support service, along with the division of responsibilities between UKCloud and the customer, to facilitate the provisioning and ongoing use of the service.
About the VMware Extended Support service
The VMware Extended Support service provides ongoing Level 1 and Level 2 support for VMware estates where vSphere licences are operating on currently unsupported versions such as v5.5 and v6.0.
ESXi 5.5 was End of General Support on September 19th 2018
ESXi 6.0 was End of General Support on March 12th 2020
This service provides organisations with additional time to plan upgrades to supported levels of VMware or migrations onto new platforms or services, such as UKCloud's range of public and private clouds operating at OFFICIAL and above.
This service is not intended as a permanent solution for providing these levels of VMware support, as the lack of patches and vulnerability fixes will increase the risk factor for cyber-attack and vulnerability.
UKCloud provides support through our award-winning Service Desk, where our 10 years of operating a significant VMware estate has developed depth and breadth in our VMware skills and capabilities.
Support is provided on the basis of all reasonable endeavours. It's important to note that any issues beyond Level 2 cannot be progressed any further, as VMware will not provide any support until the licences have been upgraded to a supported level.
Application process
Customers wanting to discuss the suitability of the service and gain a comparative cost estimate for their VMware environment under the VMware Extended Support programme should contact us at<EMAIL_ADDRESS>or contact their Client Director. To provide an indicative quote, we will need a report from vCenter(s) detailing all virtual machines (VMs) and vRAM allocation/reservation.
We will then work with the customer to find the ideal solution to suit their requirements. This will include discussing monthly or annual upfront payments, which include additional discounts.
Once the quote is supplied and the customer wants to place an order, they must provide a purchase order. Once received, the order will be confirmed by our sales operations team.
Service provisioning
To implement the VMware Extended Support service, there are some simple steps that need to be completed both by UKCloud and the customer. The details that follow assume that the customer has a good understanding of VMware and can carry out the required actions. Note that, if required, UKCloud can provide assistance in these actions at an additional charge, based on our SFIA Rate Card for Professional Services.
Welcome pack
When we receive an order from the customer, we will provide an emailed welcome pack to the named administrator/contact identified in the order form. The welcome pack includes:
Log in address of the UKCloud Portal
Log in credentials for the UKCloud Portal
Links to useful VMware Extended Support articles in the Knowledge Centre
To set up the vCloud Usage Meter, we will provide:
UKCloud VMware contract number
UKCloud VMware partner ID
UKCloud Site ID
In addition to the emailed welcome pack, a Service Delivery Manager will contact the customer to support them with the tasks required (as outlined in this Service Scope) and answer any questions.
UKCloud Portal access
All UKCloud customers have access to the UKCloud Portal, where they can access the My Calls ticketing system to raise service requests. We also use the UKCloud Portal to track and log all customer enquiries, requests, support issues, communications and information.
Knowledge Centre
To assist customers in using our services and all functionality, the UKCloud Knowledge Centre is continually maintained to provide the latest information. Key articles for VMware Extended Support are listed at the end of this Service Scope.
Onsite audit
During the initial provisioning of the customer onto VMware Extended Support, the customer must provide information relating to the current environment to enable UKCloud to deliver the appropriate services. If the customer is unable to provide the necessary information, or provides inaccurate information, UKCloud reserves the right to conduct a chargeable, high-level audit of the customer's VMware environment, and other connected software, to ensure that there will not be any conflicts, incompatibility or potential support issues.
Licence eligibility
VMware Extended Support is operated on the existing perpetual licences owned by the customer. Should additional licences be required, these can be provisioned under the VMware Licence Service (VLS).
VMware Extended Support covers vSphere and vCenter. Other elements of VMware deployment, such as vRealize Operations, vSAN, NSX, SRM and Horizon may be supported on an exception basis.
The following are NOT eligible under VMware Extended Support:
- WSP1, Avi Networks, Velocloud, Carbon Black, Pivotal
Usage Meter
VMware Extended Support operates on a consumption basis and therefore requires the mandatory installation of the vCloud Usage Meter on the customer's environment, to allow the monthly consumption to be recorded.
The Usage Meter captures all the VMware usage covered by the VMware Extended Support agreement during the month and creates a report with the number of units consumed for each VMware bundle. This report of total units is used by UKCloud to calculate the customer's invoice for each month and enables the customer to be flexible on what they use in any given month, rather than be committed up front.
UKCloud will make the URL of the recommended Usage Meter available to the customer.
UKCloud provides detailed instructions in the Knowledge Centre for the installation, configuration and reporting of the Usage Meter (see the list of articles at the end of this Service Scope).
It is the customer's responsibility to install and configure the Usage Meter prior to using the service as it is required for reporting and invoicing. The customer can utilise UKCloud Professional Services at an additional cost if assistance is required for this task.
As the Usage Meter is installed in an environment that UKCloud has no access to:
It is the customer's responsibility to ensure that the Usage Meter is correctly configured and that it is collecting the daily data.
Customers will need to monitor the Usage Meter to ensure that data is not missing or that the meter has not failed. If there is an issue, it is the responsibility of the customer to resolve this issue or raise a service request to seek assistance.
It is the customer's responsibility to update the Usage Meter when required when a new version is provided by UKCloud. The customer will be advised as to when the update must be implemented, and this may be a requirement for the reporting to be accurate.
It is the customer's responsibility to add new products to the Usage Meter so that usage is collected.
Usage reporting
The basis of VMware Extended Support is that the customer is not committed to any specific VMware usage. This enables the customer to increase, decrease, test and remove environments and functionality as they require.
As a result, VMware Extended Support depends on the vCloud Usage Meter to collect the actual monthly usage on an hourly basis.
As part of the configuration of the Usage Meter, automatic reporting on the 1st of each month is emailed to<EMAIL_ADDRESS>If, for any reason, this fails or cannot be configured, it will be the customer's responsibility to manually send reports within five (5) working days of the last day of the reporting month (that is, 6 November 2021 for October 2021 usage). It is essential that this is completed so that the usage can be added to UKCloud's VMware usage and reported to VMware. A Knowledge Centre article explains how the usage must be reported.
If the reports are not received within five working days, the customer's assigned Service Delivery Manager will contact them to request the reports.
If the reports are not received within 10 working days, the customer's invoice will be estimated based on the previous two months' usage. Once the customer's usage is received or estimated, it will be sent to their Service Delivery Manager who will include this in the monthly updates and reports so that the customer can track their usage and costs. It is important to note that the customer must send Usage Meter reports to UKCloud as this is the basis of the contract and ensures accurate reporting and invoicing.
If an estimation is used, UKCloud reserves the right to add any additional usage to future invoices once the missing reports are sent to ensure that the customer has been accurately invoiced for their actual usage and that UKCloud correctly reports all VMware usage to VMware.
Support
VMware Extended Support includes support via our experienced VMware Customer Service Team, which has been responsible for supporting our VMware-based public cloud for nine years.
Support under VMware Extended Support is only provided for Level 1 and Level 2 incidents. These will be resolved with all reasonable endeavours by UKCloud. Level 3 issues and above cannot be escalated to VMware without the environment being upgraded to a current VMware supported vSphere version.
Support is provided specifically to the VMware environment and does not extend to integrations to other services.
This support does not entitle the customer to upgrades, patches or vulnerability fixes on the VMware licences being operated. Should upgrades to licences be required, VMware Extended Support can be seamlessly replaced with the VMware Licence Service (VLS) to move the licences back onto a supported level.
For more information regarding support hours, SLA and escalation, see the How to raise and escalate support tickets with customer support article on the Knowledge Centre.
Note that there is no limit to the number of tickets that customers can raise.
Customer responsibilities
In addition to the responsibilities already mentioned in this Service Scope, customers are also responsible for:
As UKCloud does not have any direct physical or network connection to the customer's environment, it is the customer's responsibility to ensure they maintain previously supported combinations of VMware software and any third-party software as identified within the compatibility matrix. See the following VMware documents for assistance:
The customer is responsible for maintaining their VMware environment, including any software and hardware upgrades, including third-party software that may affect the VMware environment.
Customers may be asked on occasion to run authorised scripts on their VMware environment for the purpose of maintaining the environment or assisting in fixing reported issues.
Customers will be advised on how to resolve an issue and will be responsible for implementing that fix.
To assist in the resolution of an issue, the customer may be required to share screens using Microsoft Teams or other collaboration applications with our support team.
All support issues must come directly to UKCloud support.
Pricing and billing
Pricing packages
VMware Extended Support is charged on a consumption basis, with costs aligned with the number of VMs and associated vRAM allocation. This consumption is recorded each month by the Usage Meter and reported to UKCloud.
A minimum charge of £1,000 (plus VAT) applies to VMware Extended Support service provision.
Payment options
Consumption is estimated at the outset and calculated for a 6 or 12-month initial period. Subsequent periods can be for 6 or 12 months.
Invoicing
Customers will be invoiced in advance for each 6 or 12-month estimate of consumption.
The customer will receive a monthly report from their Service Delivery Manager based on their submitted Usage Meter usages and total costs.
Professional Services
This Service Scope sets out the responsibilities of UKCloud and the customer. Although the actions that the customer is responsible for are supported by UKCloud via Knowledge Centre articles and the support team, if a customer requires additional support with their on-premises estate or the installation and configuration of any element of VMware or the Usage Meter, we can arrange for our Professional Services team to assist.
These additional services are charged as per our SFIA Rate Card.
If a customer requires the assistance of our Professional Services, they can either contact our support team or their Service Delivery Manager.
Supporting documents and resources
For more information about VMware Extended Support, see the following:
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


The 2016 Volvo V60 T5 FWD
|
A state-of-the-art infotainment system and great load-carrying capabilities. Meticulously crafted interior accented by soft premium leather seats. From the moment you step into the V60, you’ll experience a new kind of luxury. |


1 They keep the customs of their fathers, adding none to them. Among other notable customs of theirs is this, that they have one song, the Linus-song, which is sung in Phoenicia and Cyprus and elsewhere; each nation has a name of its own for this,
2 but it happens to be the same song that the Greeks sing, and call Linus; so that of many things in Egypt that amaze me, one is: where did the Egyptians get Linus? Plainly they have always sung this song; but in Egyptian Linus is called Maneros.
3 The Egyptians told me that Maneros was the only son of their first king, who died prematurely, and this dirge was sung by the Egyptians in his honor; and this, they said, was their earliest and their only chant.


Due to the variable nature of events, calculation of gems gotten through events is at best an approximation. To make the calculations simpler,
it assumes that each month has 2 events, ending on the 1st and the 15th, and events alternate between token events and score matches (and medley
festivals if on JP.) Also, if you are tiering, it assumes that you will spend some gems to tier, and will use an estimate based on your average
tier, but this will only be an estimate.)


Before we sign a contract or write a line of code our team will send the necessary time needed to understand your product vision.The outcome of this scoing session in proposal or high-level statement of work.based on your requirements,we can provide a complete offering or just the pieces you need.
our design practice offers a full range of services including brand strategy,interaction and visual design and user experience testing.active Throughout youtr project ,our designers create and imlement visual design and work flows, solicit user and work with you to make sure what you get is needed
All engineers are fluent in the latest enterrise ,mobile and web development technologies .They collaborate with your team to write , and improve code on daily basis , using proven practices such us test-driven develoment and pair of programming
All engineers are fluent in the latest enterrice,mobile and and web develoment technologies. They collaborate with your team to write , and improve codes on a daily basis , using proven such as test-driven develoment and pair programming .
Black studio
pyramid
Ontario security
Jim Carry
Have A Nice Day
Calculator
Burned
Giraffe Restaurant


Movie Form
Movie Title
Incorrect title
Choose picture file
Description
Incorrect description
Release date
Incorrect release date
Save


Class: Sketchup::Importer
| Relationships | |
| Inherits: | Object |
Overview
The Importer interface lets you build your own importers for SketchUp. To use this, you create a subclass of Importer
and implement all of the methods described below. This will make your importer appear in the list that users see under File > Import, and you can use Ruby to do all of the work of opening the file and creating whatever you need inside SketchUp.
Here is an example of a complete script that imports a .txt file and displays its contents in a messagebox.
Constant Summary
-
ImportCanceled =
# File 'lib/sketchup-api-stubs/stubs/Sketchup/Importer.rb', line 68
Constants
nil
-
ImportFail =
# File 'lib/sketchup-api-stubs/stubs/Sketchup/Importer.rb', line 69
Stub value.
nil
-
ImportFileNotFound =
# File 'lib/sketchup-api-stubs/stubs/Sketchup/Importer.rb', line 70
Stub value.
nil
-
ImportSuccess =
# File 'lib/sketchup-api-stubs/stubs/Sketchup/Importer.rb', line 71
Stub value.
nil
Instance Attribute Summary
-
#supports_options? ⇒ Boolean
readonly
This method is called by SketchUp to determine if the “Options” button inside the File > Import dialog should be enabled while your importer is selected.
Instance Method Summary
-
#description ⇒ Object
This method is called by SketchUp to determine the description that appears in the File > Import dialog’s pulldown list of valid importers.
-
#do_options ⇒ Object
This method is called by SketchUp when the user clicks on the “Options” button inside the File > Import dialog.
-
#file_extension ⇒ Object
This method is called by SketchUp to determine a single file extension is associated with your importer.
-
#id ⇒ Object
This method is called by SketchUp to determine a unique identifier for your importer, typically something like “com.sketchup.importers.dxf”.
-
#load_file(file_path, status) ⇒ Object
This method is called by SketchUp after the user has selected a file to import.
Instance Attribute Details
#supports_options? ⇒ Boolean
(readonly)
This method is called by SketchUp to determine if the “Options” button inside the File > Import dialog should be enabled while your importer is selected.
Instance Method Details
#description ⇒ Object
This method is called by SketchUp to determine the description that appears in the File > Import dialog’s pulldown list of valid importers.
Though it is common for the description to include the file extension supported by the importer (such as “Text Importer
(.txt)”), the actual extension is defined in the file_extension method.
#do_options ⇒ Object
This method is called by SketchUp when the user clicks on the “Options” button inside the File > Import dialog. You can use it to gather and store settings for your importer.
Only applicable if the importer supports options, meaning its supports_options method returns true.
#file_extension ⇒ Object
This method is called by SketchUp to determine a single file extension is associated with your importer. Only files that match this extension will be shown to the user as they browse their harddrive for things to import.
Ruby importers are only allowed to support a single extension.
#id ⇒ Object
This method is called by SketchUp to determine a unique identifier for your importer, typically something like “com.sketchup.importers.dxf”.
#load_file(file_path, status) ⇒ Object
This method is called by SketchUp after the user has selected a file to import. This is where you do the real work by opening the file via Ruby’s File object and processing it in whatever way you need.
You must return an integer success code to SketchUp when you are done. These are the codes that SketchUp understands:
- Sketchup::Importer::ImportSuccess
- Sketchup::Importer::ImportFail
- Sketchup::Importer::ImportCanceled - SketchUp will show a "cancelled" dialog
- Sketchup::Importer::ImportFileNotFound - SketchUp will show a "not found" dialog


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PLANTS
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Bahamas:
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Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
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Use this option to copy highlighted data to the clipboard. The option cannot be selected if no data is currently highlighted.
The action of copying data to the clipboard replaces any data that was previously held there.
Shortcuts
| Toolbar: | |
| Keyboard: | CTRL+C |


Instance Method
projection(action:state:)
Creates a subset of the current store by applying any transformation to the State or Action types.
Declaration
func projection<ViewAction, ViewState>(action viewActionToGlobalAction: @escaping (ViewAction) -> Self.ActionType?, state globalStateToViewState: @escaping (Self.StateType) -> ViewState) -> StoreProjection<ViewAction, ViewState>
Return Value
a StoreProjection
struct, that uses the original Store under the hood, by applying the required transformations on state and action when app state changes or view actions arrive. It doesn’t store anything, just proxies the original store.
Parameters
action
-
a closure that will transform the View Actions into global App Actions, to be dispatched in the original Store
state
-
a closure that will transform the global App State into the View State, to subscribe the original Store and drive the View upon changes


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Vaibhav Karnwal
Blog Website To Add Daily New Blog
Here are some guidance to add blog
In this blog website if you wona add any blog then you have to make an account first then login your acccount and go to dashboard and write the title of the blog and also write the title name of the blog and then submit. You can see your blog on the home page and if you wona delete or update the blog then you have to login again with the same id and then you can do it.


Earthquake
Wherever you are when an earthquake starts, take cover immediately. Move a few steps to a nearby safe place if need be. Stay there until the shaking stops.
If you are indoors: "DROP, COVER, HOLD ON"
- Stay inside.
- Drop under heavy furniture such as a table, desk, bed or any solid furniture.
- Cover your head and torso to prevent being hit by falling objects.
- Hold onto the object that you are under so that you remain covered.
- If you can't get under something strong, or if you are in a hallway, flatten yourself or crouch against an interior wall.
- If you are in a shopping mall, go into the nearest store.
- Stay away from windows, and shelves with heavy objects.
- If you are at school, get under a desk or table and hold on. Face away from windows.

If you are outdoors:
- Stay outside.
- Go to an open area away from buildings.
- If you are in a crowded public place, take cover where you won't be trampled.
If you are in a vehicle:
- Pull over to a safe place where you are not blocking the road. Keep roads clear for rescue and emergency vehicles.
- Avoid bridges, overpasses, underpasses, buildings or anything that could collapse.
- Stop the car and stay inside.
- Listen to your car radio for instructions from emergency officials.
- Do not attempt to get out of your car if downed power lines are across it. Wait to be rescued.
- Place a HELP sign in your window if you need assistance.
- If you are on a bus, stay in your seat until the bus stops. Take cover in a protected place. If you can't take cover, sit in a crouched position and protect your head from falling debris.
AVOID the following in an earthquake:
- Doorways. Doors may slam shut and cause injuries.
- Windows, bookcases, tall furniture and light fixtures. You could be hurt by shattered glass or heavy objects.
- Elevators. If you are in an elevator during an earthquake, hit the button for every floor and get out as soon as you can.
- Downed power lines - stay at least 10 metres away to avoid injury.
- Coastline. Earthquakes can trigger large ocean waves called tsunamis .


| Latitude: | (decimal degrees) geographic coordinate [#ref] | |
| Longitude: | (decimal degrees) geographic coordinate [#ref] | |
| Altitude: | null if not supported; (meters) height above the [WGS84] ellipsoid. [#ref] |
|
| Accuracy: | (meters; non-negative; 95% confidence level) the accuracy level of the latitude and longitude coordinates. [#ref] | |
| Heading: | null if not supported; NaN if speed == 0; (degrees; 0° ≤ heading < 360°) direction of travel of the hosting device- counting clockwise relative to the true north. [#ref] |
|
| Speed: | null if not supported; (meters per second; non-negative) magnitude of the horizontal component of the hosting device's current velocity. [#ref] |
|
| Altitude Accuracy: | null if not supported; (meters; non-negative; 95% confidence level) the accuracy level of the altitude. [#ref] |
|
| Time: | (DOMTimeStamp) when the position was acquired [#ref] |


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{% extends "flicket_base.html" %} {% block content %}
You can't edit your user name / login id: {{ g.user.username }}.
{{ _('Enter details below only if you want to change your password.') }}


Aggregate Channel Features Detector Overview. Piotr's Computer Vision Matlab Toolbox Version 3.40 Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt] %%%%%%%%%%%%%%%%%%%%%%%%%%%% 1. Introduction. %%%%%%%%%%%%%%%%%%%%%%%%%%% The detector portion of this toolbox implements the Aggregate Channel Features (ACF) object detection code. The ACF detector is a fast and effective sliding window detector (30 fps on a single core). It is an evolution of the Viola & Jones (VJ) detector but with an ~1000 fold decrease in false positives (at the same detection rate). ACF is best suited for quasi-rigid object detection (e.g. faces, pedestrians, cars). The detection code was written by Piotr Dollár with contributions by Ron Appel and Woonhyun Nam (with bug reports/suggestions from many others). %%%%%%%%%%%%%%%%%%%%%%%%%%%% 2. Papers. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The detector was introduced and described through the following papers: [1] P. Dollár, Z. Tu, P. Perona and S. Belongie "Integral Channel Features", BMVC 2009. [2] P. Dollár, S. Belongie and P. Perona "The Fastest Pedestrian Detector in the West," BMVC 2010. [3] P. Dollár, R. Appel and W. Kienzle "Crosstalk Cascades for Frame-Rate Pedestrian Detection," ECCV 2012. [4] P. Dollár, R. Appel, S. Belongie and P. Perona "Fast Feature Pyramids for Object Detection," PAMI 2014. [5] W. Nam, P. Dollár, and J.H. Han "Local Decorrelation For Improved Pedestrian Detection," NIPS 2014. Please see: http://vision.ucsd.edu/~pdollar/research.html#ObjectDetection A short summary of the papers, organized by detector name: [1] "Integral Channel Features" [ICF] - Introduced channel features and modified the VJ framework to compute integral images (and Haar wavelets) over the channels. Substantially outperformed HOG and at faster speeds. [2] "Fastest Pedestrian Detector in the West" [FPDW] - We observed that features computed at one scale can be used to approximate features at nearby scales, increasing detector speed with little loss in accuracy. [3] "Crosstalk Cascades" - This work coupled cascade evaluation at nearby positions and scales to exploit correlations in detector responses at neighboring locations. Further increased speed of the ICF detector. [4] "Aggregate Channel Features" [ACF] - We found that single-scale square Haar wavelets were sufficient in the ICF framework. Thus instead of computing integral images and Haar wavelets, we simply smooth and downsample the channels and the features are now single pixel lookups in the "aggregated" channels. [5] "Locally Decorralated Channel Features" [LDCF] - Filtering the channel features with appropriate data-derived filters can remove local correlations from the channels. Given decorrelated features, boosted decision trees generalize much better giving a nice boost in accuracy. This code implements ACF [4] and LDCF [5]. It does not implement ICF [1] or FPDW [2] which are now obsolete and supplemented by ACF. Crosstalk cascades [3] are also not used as classifier evalution in ACF is very fast (no need to compute Haar wavelets). However, ACF does use the simple but highly effective "constant soft cascades" from [3]. Please cite a subset of the above papers as appropriate if you end up using this code to support a publication. Thanks! %%%%%%%%%%%%%%%%%%%%%%%%%%%% 3. Setup. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% (A) Please install and setup the toolbox as described online: http://vision.ucsd.edu/~pdollar/toolbox/doc/index.html You may need to recompile for your system, see toolboxCompile. Note: enabling OpenMP during compile will significantly speed training. (B) Important: to train the detectors and run the detection demos you need to install the Caltech Pedestrian Detection Benchmark available at: http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/ In particular, make sure to download and install: (B1) Matlab evaluation/labeling code version 3.2.1 or later (B2) INRIA data (necessary for the INRIA demo) (B3) Caltech-USA data (necessary for the Caltech demo) Please follow the instruction in the readme of the Caltech code. You only need to download the data and code and place appropriately, there is no need to look closely at the evaluation code. Initially running the demos (acfDemoInria and acfDemoCal) will convert the data from the Caltech data format to a format useable by ACF. If this step fails it means the Caltech code or data is not properly setup. %%%%%%%%%%%%%%%%%%%%%%%%%%%% 4. Getting Started. %%%%%%%%%%%%%%%%%%%%%%%% After performing the setup, see acfDemoInria.m and acfDemoCal.m for demos and visualizations. For an overview of available functionality please see detector/Contents.m and channels/Contents.m. The various detector/acf*.m and channels/chns*.m functions are well documented and worth checking for additional details. Finally, a note about pre-trained models. The detector/models/ directory contains four pre-trained pedestrian models (ACF/LDCF on INRIA/Caltech). Running acfDemoInria/Cal.m with the ACF/LDCF flag toggled gives rise to these models (just delete the existing models to retrain from scratch). Note, however, that results will differ by up to +/-2% MR depending on operating system and random seed (see opts.seed), and the models here are not exactly equivalent to the models in the papers (due to evolution of the code). Small changes in MR should not be considered significant (nor should they be used as a basis for publishing). Whenever making a change I suggest training/testing the same model with multiple random seeds. Enjoy and I hope you find the detectors useful :)


A young man--we can sketch his portrait at a dash. Imagine to yourself a Don Quixote of eighteen; a Don Quixote without his corselet, without his coat of mail, without his cuisses; a Don Quixote clothed in a woolen doublet, the blue color of which had faded into a nameless shade between lees of wine and a heavenly azure; face long and brown; high cheek bones, a sign of sagacity; the maxillary muscles enormously developed, an infallible sign by which a Gascon may always be detected, even without his cap--and our young man wore a cap set off with a sort of feather; the eye open and intelligent; the nose hooked, but finely chiseled.
A young man--we can sketch his portrait at a dash. Imagine to yourself a Don Quixote of eighteen; a Don Quixote without his corselet, without his coat of mail, without his cuisses; a Don Quixote clothed in a woolen doublet, the blue color of which had faded into a nameless shade between lees of wine and a heavenly azure; face long and brown; high cheek bones, a sign of sagacity; the maxillary muscles enormously developed, an infallible sign by which a Gascon may always be detected, even without his cap--and our young man wore a cap set off with a sort of feather; the eye open and intelligent; the nose hooked, but finely chiseled.


Manager
ID: 292
Email<EMAIL_ADDRESS>Phone:<PHONE_NUMBER>
Engineer
ID: 573
GitHub Username: brentgithub
Intern
ID: 842
School: UTSA


Vexillographer
The second library product of Vexil is Vexillographer, a small SwiftUI tool for displaying and manipulating flags.
Usage
You include it in your project somewhere and initialise it with a FlagPole
and FlagValueSource
:
import Vexillographer
struct MyView: View {
let flagPole = FlagPole(hoist: AppFlags.swift)
var body: some View {
NavigationView {
Form {
Vexillographer(flagPole: flagPole, source: UserDefaults.standard)
}
}
}
}
Vexillographer will then display a that lists all of your Flag
s and FlagGroup
s, allowing you to drill down your configured flags and edit their values directly.
Where to put Vexillographer
While you can include Vexillographer in your app hidden behind some secret gesture or conditional compilation or feature flag technique (mind that inception), we strongly recommend you don’t do this.
Instead, create a separate app and using App Groups setup shared user defaults between it and your app. You can use that shared UserDefaults
as your main FlagValueSource
, or you can include multiple ones to keep local overrides separate.
Installing Vexillographer
Installing Vexillographer is the same as installing Vexil, just include it as a dependency of your target:
targets: [
.target(name: "MyTarget", dependencies: [
.product(name: "Vexil", package: "Vexil"),
.product(name: "Vexillographer", package: "Vexil")
])
]
Or in Xcode, add it to your Target.


Out of the box Laravel includes PHPUnit, The framework also adds some convenient helper methods "allowing you to expressively test your applications".
In your tests directory, you define tests within classes and any method that starts with the name `test` is considered a test.
class ExampleTest extends TestCase
{
public function testExample()
{
$this->assertTrue(true);
}
}
In your tests directory, you define tests within classes and any method that starts with the name `test` is considered a test.
class StatusTest extends TestCase
{
public function testHomepage()
{
$this->visit('/');
$this->assertResponseStatus(200);
}
}
In your tests directory, you define tests within classes and any method that starts with the name `test` is considered a test.
class ContentTest extends TestCase
{
public function testHomepage()
{
$this->visit('/')
->see('Laravel')
->dontSee('Rails');
}
}
class BasicClassTest extends TestCase
{
public function testHello()
{
$message = (new BasicClass())->hello('Alex');
$this->assertEquals('Hello Alex', $message);
}
}
(Sometimes also known as integration tests)
class UserLoginTest extends TestCase
{
public function testInvalidUserLogin()
{
$this->visit(route('auth.login'))
<EMAIL_ADDRESS>'email')
->type('short', 'password')
->press('Login')
->seePageIs(route('auth.login'))
->see(trans('auth.failed'));
}
}
In many cases your code has a dependency on a database.
Out of the box Laravel includes a trait that will allow you to wrap all your tests in DB transactions, stopping any DB changes created by the tests from persisting.


Constant Field Values
Contents
com.dragonboatrace.*
-
com.dragonboatrace.entities.boats.Boat Modifier and Type Constant Field Value private final int
minBoostSpeed
5
private final float
staminaRate
10.0f
-
com.dragonboatrace.screens.BoatSelectScreen Modifier and Type Constant Field Value private final java.lang.String
title
"Choose your Boat:"
-
com.dragonboatrace.screens.DifficultySelectScreen Modifier and Type Constant Field Value private final java.lang.String
title
"Choose your Difficulty:"
-
com.dragonboatrace.screens.com.dragonboatrace.screens.MainGameScreen.State Modifier and Type Constant Field Value private static final byte
COUNTDOWN
2
private static final byte
PAUSED
1
private static final byte
RUNNING
0
-
com.dragonboatrace.screens.PauseScreen Modifier and Type Constant Field Value private final java.lang.String
title
"The game is paused"
-
com.dragonboatrace.screens.PopupScreen Modifier and Type Constant Field Value private final java.lang.String
title
"Press Space to continue"
-
com.dragonboatrace.tools.ButtonFactory Modifier and Type Constant Field Value private static final java.lang.String
activeSuffix
"_button_active.png"
private static final java.lang.String
inactiveSuffix
"_button_inactive.png"
-
com.dragonboatrace.tools.CollidableStats Modifier and Type Constant Field Value public static final float
BRANCH_DAMAGE
10.0f
public static final float
HEAL_BY
0.25f
public static final float
LEAF_DAMAGE
5.0f
public static final float
LESSDAMAGE_BY
0.5f
public static final float
LESSTIME_BY
0.5f
public static final int
POWERUPS_START_AT_INDEX
3
public static final float
ROCK_DAMAGE
20.0f
public static final float
SPEEDUP_BY
50.0f


Buenos dias
Body copy with medium weight.
Regular body copy with small text.
juan
<user-card>
without md-color features
<user-card>
coloring using the 'default' Theme
<user-card>
coloring using the 'forest' Theme
Note: The md-colors
directive allows pre-defined theme colors to be easily applied
as CSS style properties. md-colors
uses the Palettes defined at
Material Design Colors
and the Themes defined using $mdThemingProvider
. This feature is simply an
extension of the $mdTheming
features.


Success! I just sent a receipt for your subscription to<EMAIL_ADDRESS>Blot uses Dropbox to sync your blog. Blot can only access a single folder in your Dropbox.


@* * Copyright 2010-2013 Artima, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @nonHomePage("Quick Start") {
ScalaTest supports three main styles of testing out of the box. If you don't have a preference, start with FunSuite
:
FunSuite
FunSpec
FeatureSpec
ScalaTest also supports writing JUnit and TestNG tests in Scala.
(For a quick guide to ScalaTest's style traits, see the Style trait use cases table in the user guide.)


Red Pitaya Notes
Source
Issues
LED blinker
Playground
SDR transceiver
SDR transceiver compatible with HPSDR
SDR receiver compatible with HPSDR
Wideband SDR receiver
Wideband SDR transceiver
Multiband WSPR transceiver
Multiband FT8 transceiver
Pulsed NMR system
Multichannel Pulse Height Analyzer
Vector Network Analyzer


This site will show you the various VMC views in action and how to code them.
The sample views use incoming data that would typically be requested via an API call but here this is simulated to avoid complexity in setting up the example site. There are two sets of data. One set is more straightforward ... just name and id which are JSON string and number data types respectively. The other set contains all the JSON data types (string, number, boolean, null/empty, object, and array).
Look at simulate.py to see the incoming data.
The data is displayed in different configurations, depending on the VMC view used.
Look at views.py to see how each was coded.
Look at the templates to see how the view data is referenced for display.
You can configure the default number of columns in settings or you can specify this in your VMC view. In priority order:
Pass the number of columns as kwarg 'num_columns'. (See class EvenVMC in views.py in the example app.)
Define the default number of columns in your Django settings. (See settings.py in the example app.)
If no kwarg is passed and there is no setting defined, the number of columns defaults to 3.


You can use any combination of logical operators
Nested search allows you to perform search on documents returned by previous serach by clicking on the nested search radio button when searching
Simply check the nested search button and select the appropriate search type to perform nested search.
With nested search you have the opportunity to instantly download all the documents returned by the nested search.
Simply click the Download All? button