class: center, middle, inverse, title-slide # Polyploidy in plant breeding ## Introduction
Aneuploidy
Euploidy
Autopolyploidy
Allopolyploidy
Applications of polyploidy ### Deependra Dhakal ### 2019/04/15 (updated: 2020-10-04) --- class: inverse, middle, center # Introduction --- - Ploidy refers to the number of copies of the entire chromosome set in a cell of an individual. - The complete chromosome set is characteristic of, or basic to, a species. - A set of chromosomes (the genome) is designated by “x”. Furthermore, the basic set is called the monoploid set. - The haploid number (n) is the number of chromosomes that occurs in gametes. - A diploid species such as corn, has n=10 and 2n=20. - Also a diploid species has 2n=2x in its somatic cells and n=x in its gametes. - A species with a higher ploidy, for example autotetraploid (four basic sets of chromosomes) has somatic cells with 2n=4x and gametes with n=2x. - For corn: 2n=2x=20, - For wheat (a hexaploid with 42 chromosomes and a basic set of 7): 2n=6x=42 - Sometimes species that have more than two genomes comprise sets from different origins. - To distinguish the source, each genome is designated by a different letter. - For example, wheat has chromosome sets from three different origins and, hence, has a genetic designation (genomic formula) of AABBDD. --- background-image: url(./images/dan_sightings_bird.jpeg) ---

Polyploids in grape

 --- - To denote the number of haploids derived from individuals of different ploidy levels for a single genome, a prefix is added to the term “haploid”’ to denote the number of sets (x) of the basic genome present. - For example a monohaploid (n=1x) is derived from a diploid, while a dihaploid (n=2x) is from a tetraploid, and so on. - In some species of higher plants, a pattern of ploidy emerges whereby the gametic (haploid) and somatic (diploid) chromosome numbers increase in an arithmetic progression. The set of species displaying this pattern constitute a polyploid series. --- background-image: url(./images/dan_sightings_bird.jpeg) --- .pull-left[ - In euploidy, the individuals contain multiples of the complete set of chromosomes that is characteristic of the species (the basic number, x). - In aneuploidy, individuals contain incomplete sets of chromosomes that may be equivalent to the euploid number plus or minus one or more specific chromosomes - The state of having multiples of the basic set in the somatic cell in excess of the diploid number is called polyploidy, and the individuals with such cells, polyploids. - Polyploids are euploids. - When euploids comprise multiples of the genome (i.e., duplicates of the genome from the same species) they are called autoploids and the condition autoploidy (or autopolyploidy). ] .pull-right[

Polyploidization in common wheat

 ] --- - When a combination of genomes from different species are involved, the term alloploid or allopolyploid. - Alternatively, the term amphiploid or amphidiploid is also used to describe polyploids with different genomes. - It should be pointed out that autoploidy and alloploidy are extreme forms of polyploidy. Intermediates occur between them on a continuum of genomic relationships. C.L. Stebbins called the intermediates segmental alloploids. - Polyploids are named such that the prefix to the standard suffix (ploid) refers to the basic chromosome set. - For example “triploid” refers to a cell with three genomes (3x) while “hexaploid” refers to a cell with six genomes (6x). --- class: middle

Ploidy description

Nomenclature of aneuploids

 --- class: inverse, middle, center # Effects of polyploidy in plants --- background-image: url(./images/dan_sightings_bird.jpeg) --- ## Autoploidy - Increases cell size, especially in meristematic tissues. - Causes leaves to be thicker, broader, and shorter. - Other plant organs may increase in size compared to their corresponding parts in diploids, an effect called gigas features. - The plants tend to be determinate in growth. - Growth rate of polyploids is less than that of diploids. - In grasses, autoploidy tends to reduce branching or tillering - Similarly, the vitamin C content of vegetables and fruits has been known to increase following chromosome doubling. - Autoploids, generally, have fertility problems and have poor pollen production. - An Autoploid would resemble the original parent whereas an Alloploid would tend to exhibit a phenotype that is intermediate between its parental species. --- ## Genetics of autoploids - The ploidy level may also be defined as the number of different alleles that an individual can possess for a single locus on a chromosome. - A diploid can have two alleles per locus, whereas an autotetraploid can have four different alleles. - The genetics of autoploids is complicated by multi-allelism and multivalent association of chromosomes during meiosis. Consider the segregation of alleles of a single locus (A, a). - In a diploid species, there would be three possible genotypes AA, Aa, and aa. However, in an autotetraploid there would be five genotypes ranging from multiplex/nulliplex (aaaa) to quadriplex (AAAA). - The proportion of dominant (A) to recessive (a) genes is different in two of the five genotypes (AAAA and Aaaa) in autotetraploids from what obtains in diploids.  --- .pull-left[ - The number of phenotypes observed depends on dominance relationship of A and a. If allele A is completely dominant to allele a, there would be only two phenotypes. If dominance is incomplete or the effect of allele A is cumulative, there could be up to five phenotypes. - Upon selfing, a dominant phenotype in a diploid (AA, Aa) would produce a progeny that is all dominant, or segregate in 3 : 1 ratio. Selfing each of the five categories would produce much different outcomes in autotetraploids, assuming random chromosome segregation. ] .pull-right[

Autotetraploid assortment of gamete

Dominant and recessive phenotypes of an autotetraploid cross

 ] --- class: middle

Effects of inbreeding in autoploids

 --- class: inverse, middle, center # Induction of ploidy --- - Plant breeders were initially attracted to induce polyploidy primarily because of the gigas effects, which increased cell size (but also reduced fertility). - The primary technique for inducing autoploids is the use of colchicine ( `\(C_{22} H_{25} O_6\)`), an alkaloid from the autumn crocus (Colchicum autumnale). - This chemical compound works by disrupting the spindle mechanism in mitosis, thereby preventing the migration of duplicate chromosomes to opposite poles at anaphase. .pull-left[ - Triploid hybrids are produced by crossing diploids with tetraploids. - Breeders use three kinds of genotypes. - Diploid is male sterile (female, cms) - Tetraploid is the pollinator. - The third component is a male sterility maintainer (a diploid, N). - The tetraploid is derived from a diploid by colchicines treatment of the seed (soak in 0.2% for 15 hours at 30 C). Seedless watermelon (3x=33) is also produced by crossing diploid (2n=2x=22) with tetraploid (2n=4x=44). ] .pull-right[ - D.R. Dewey summarized the properties of a species suited for induction of polyploidy as: - The species has low chromosome number. - The economic part of the plant is the vegetative material (e.g., forage grasses). - The plant is cross-pollinated (allogamous). - The plant is perennial in habit. - The plant has the ability to reproduce vegetatively. ] --- class: inverse, middle, center # Consequences of autoploidy --- class: middle - Tetraploid rye (2n=4x=28) has about 2% more protein and superior baking qualities than diploid cultures. - However, it also has about 20% higher incidence of sterility per spike, resulting in lower grain yield than diploids. - Autotriploids of commercial importance include sugar beet (2n=2x=18; 3x=27, 2n=4x=36). - Triploidy is associated with the genetic consequences of sterility because of the odd chromosome number that results in irregular meiosis. - The sterility favors species that are grown for vegetative commercial parts (e.g., grasses) and ornamentals and fruits (seedless). --- .pull-left[

Natural alloploidization of Brassica

 ] .pull-right[

Production of allopolyploids

 ] --- ## Applications of aneuploidy in plant breeding - Chromosome addition - Chromosome deletion - Chromosome substitution - Chromosome supplementation ## General importance - Enhancing heterozygosity - Overcoming interploid blocks - Development of sterile cultivars - Enhancing pest resistance - Restoring fertility - Producing large fruits - Increasing vigor --- background-image: \url("./images/doubled_haploid_breeding_wheat.png") background-size: 60% # Production of haploids --- background-image: url(./images/dan_sightings_bird.jpeg) --- - Haploids are sporophytic plants with a gametophytic chromosome number, whereas double haploids are haploid plants that have undergone spontaneous or induced chromosome duplication. - Haploid production followed by chromosome duplication, in a process termed haplodiploidization. - Using this method, populations of lines in perfect homozygosity (with all their loci in homozygosis) can be produced in just one generation, starting with the F1 population. - Between 7-9 generations of selfing are required to reach homozygosity using the conventional method; however, with haplodiploidization, lines with 100% homozygosity are obtained after the F1 generation, providing savings in time and costs. - According to @germana2011gametic, the biotechnological method to produce haploids and double haploids through gametic embryogenesis has been recognized as an auxiliary tool in plant breeding. ---
 <img src="./images/dh_maize_hybrid_production.png" alt="Production schemes of maize hybrids using DH lines under two-stages of testcross selection. W, S = winter nursery, summer nursery; A, B, ...= parental lines; Di = ith generation of DH plants; DHL = DH lines; TCi = ith stage of testcross evaluation; <> = crossing or selfing; = visual selection" width="60%" />
Production schemes of maize hybrids using DH lines under two-stages of testcross selection. W, S = winter nursery, summer nursery; A, B, ...= parental lines; Di = ith generation of DH plants; DHL = DH lines; TCi = ith stage of testcross evaluation; <> = crossing or selfing; = visual selection

 ??? Refer to Plant Breeding Reviews, Volume 40. --- background-image: url(./images/dan_sightings_bird.jpeg) --- ## Methods 1. Anther culture 1. Ovule culture ??? Haploid plants can be produced both in vivo and in vitro. Haploid embryos can be produced spontaneously in vivo by delayed pollination, pollination using irradiated or abortive pollen, heat shock treatment of pollen, distant hybridization, and other methods. Haploid plants are produced by in vitro culture through the development of unfertilized egg cells, eliminating one of the genomes by culturing young embryos in hybrids resulting from crosses between genetically very distant specimens and most commonly by culturing anthers and/or pollen grains. Upon producing haploid plants from an anther culture, the next step is to reestablish the diploid condition, which is now in homozygosis. The methods used for the duplication of chromosomes in haploids are varied; however, treatment with colchicine or endomitosis is generally used. Colchicine inhibits spindle fiber formation, is generally used in aqueous solution or dissolved in alcohol or glycerin, and can be applied as a lanolin or agar paste. The optimum concentration of colchicine varies with the species but usually ranges from 0.1 to 0.5%. However, a number of limitations are associated with the use of colchicine, including mutagenicity, loss of vigor in certain species, and the appearance of plants with various ploidy levels. Endomitosis is the duplication of chromosomes without the duplication of the cell nucleus. This process is common in haploid calli and can be used for producing homozygous diploid plants. @rodrigues2011colchicine demonstrated a lower survival rate in explants following exposure to 5.0 mM colchicine for 24 and 48 hours. In the study, two diploid banana plants (1304-04 [Malaccensis x Madang ( _Musa acuminata_ spp. _banksii_)] and 8694-15 [0337-02 (Calcutta x Galeo) x SH32-63]) were investigated to establish the effect of different concentrations and different exposure times of colchicine and amiprophos-methyl (APM) on chromosome duplication. --- ## Anther culture .pull-left-2[ - Flower buds are picked from healthy plants. - After surface sterilization, the anthers are excised from the buds and cultured unto an appropriate tissue culture medium. The pollen grains at this stage would be in the uninucleate microspore stage. - Callus formation starts within 2–6 weeks, depending on the species, genotype, and physiological state of the parent source. - High nitrogen content of the donor plant and exposure to low temperature at meiosis reduces albinos and enhances the chance of green plant regeneration. - Pre-treatment (e.g., storing buds at 4–10 C for 2–10 days) is needed in some species. This and other shock treatments promote embryogenic development. - The culture medium is sometimes supplemented with plant extracts (e.g., coconut water, potato extract). - To be useful for plant breeding, the haploid pollen plants are diplodized (by articifial doubling with 0.2% colchicines, or through somatic callus culture). ] .pull-right-1[

Anther culture and doubled haploid production

 ]


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Stop eating when you feel full.Many of us rely on external cues to tell when we're full, such as whether everyone has finished eating, whether your plate was empty or not. These are irrelevant ? you should look at internal cues, such as whether your stomach feels full or not |
Exercise in OrderUse dumbbells, barbells, and machines?in that order. "The smaller, stabilizer muscles you use with dumbbells fatigue before your larger muscle groups," says Charles Staley, a strength coach in Las Vegas. |
Kill Your ExcuseIf you think you're too busy to exercise, try this experiment: For one day, schedule a time to work out, and then stick to it?even if you can exercise for only 10 minutes. "At the end of the day, ask yourself if you were any less productive than usual," says John Jakicic, Ph.D., an exercise psychologist |
Pick Up Your PaceIncrease the speed of your running strides?not their length?to get faster.  Boston researchers found that men who did this increased their strength by 20 percent. |


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World’s first printed Christmas card revealed in Charles Dickens exhibition
The card was not a success ‘in spite of its originality’.
The world’s first-ever printed Christmas card will be revealed in a new exhibition at London’s Charles Dickens museum.
The Beautiful Books: Dickens and the business of Christmas exhibition explores Dickens’ impact on modern Christmas and the journey of the Victorian publishing “phenomenon”.
The museum in Holborn, central London, will exhibit books, sketches and illustrations including the world’s first printed Christmas card, alongside its proof copy.
The hand-coloured lithographed card, made in 1843 by Henry Cole, a British civil servant, shows a family celebrating the festive season flanked by images of Christmas charity.
Sold for one shilling each, the card was not a success “in spite of its originality”, but the idea took off in 1877 when 4.5 million cards were posted to families.
A spokesman for the museum said Mr Cole worked at the Penny Post, a postal system in which normal letters could be sent for one penny, and the inspiration for making Christmas cards may have come from his work.
Asked why the cards had a late success, he said: “The first card was quite expensive at a shilling each, so by the time of the later version, there was more demand and also the later card was a lot cheaper to buy.”
He added that Mr Cole only made 1,000 copies and it was for “a fairly limited audience”, but the later cards were not made by him.
Other items on display at the exhibition, which runs until April 19 next year, include early sketches of Dickens’ Scrooge, Fezziwig and the Christmas ghosts by John Leech and cloth-bound books illustrated with woodcuts and steel plate engravings such as Forget Me Not and The Keepsake.
Cindy Sughrue, director of the Charles Dickens Museum, said: “Dickens and Christmas will forever be linked and his influence on the season remains as strong as ever.”
She went on to say Dickens became “king of the commercial Christmas” and “changes in the country created the perfect conditions for him to publish A Christmas Carol, a thing of beauty, both in content and presentation”.
Dickens’ taper strand and oil lamp will also feature to showcase the way in which technology advances changed the reading experience.
Ms Sughrue added that the museum was “grateful” to The Brick Row Shop, the oldest antiquarian book business based in San Francisco, California, for “generously” loaning the world’s first Christmas card for this year’s exhibition.


SECRETS AND LIES A film review by John Schuurman Copyright 1997 John Schuurman
Written and Directed by Mike Leigh.
"O what a tangled web we weave when first we practice to deceive!" Sir Walter Scott first wrote it -- Mike Leigh and his superb movie have shown us the truth of it.
This is (appropriately) a complicated movie; guile and duplicity have made it so. The story unfolds with evidence of the tendrils and shoots of deceit cast all about and we need to have our wits about us as we watch. The film does not make unreasonable demands on us but the attuned observer will quickly become aware that there is a lot of submerged hurt lying around. The main action of the movie is to take us through a marvelous and simplifying exercise in unearthing the pack of lies that make for pain. From cemeteries and slums; from secrecy and deceit the hurt is nudged and beckoned to the surface and in the end we say with the characters, "This is the life ain't it?" "Yeah....Yeah."
Ironically, the integrity of it all is the most compelling thing. Writer/Director Leigh has drawn his characters so fully and so candidly that he makes us forget it is a movie about lies. Indeed, the great accomplishment here is that we forget that it is a movie at all. I can't remember a film that called me into it quite so thoroughly.
It is a movie that shows people all fouled-up with misunderstanding -- of both their own and others doing -- slowly coming to terms. Despite their inherent dimness of soul, they slowly turn up shiny.
Me too. It was something like a earnestly said and deeply felt service of confession and reconciliation in a church service: I felt clean as I walked away.
for other reviews by John Schuurman see: http://www.mcs.com/~wcrc/movies.html
The review above was posted to the
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Related links: index of all rec.arts.movies.reviews reviews


Classic Kingdom Hearts games are coming to Xbox One in 2020
by Stephany NunneleyKingdom Hearts 1 and Kingdom Hearts 2 are coming to Xbox One in 2020.
Today, at the X019 event in London, Square announced Kingdom Hearts 1 and 2 were coming to Xbox One.
The titles will be released as Kingdom Hearts HD 1.5 + 2.5 ReMIX and Kingdom Hearts HD 2.8 Final Chapter Prologue, releases players of the series on PlayStation will be familiar with.
Both were released separately and then together for PS4 last year as Kingdom Hearts – The Story So Far.
Here’s what’s included in both compilations:
Kingdom Hearts HD 1.5 + 2.5 ReMIX
- Kingdom Hearts Final Mix
- Kingdom Hearts Re:Chain of Memories
- Kingdom Hearts 358/2 Days (HD remastered cinematics)
- Kingdom Hearts 2 Final Mix
- Kingdom Hearts Birth by Sleep Final Mix
- Kingdom Hearts Re:coded (HD remastered cinematics)
Kingdom Hearts HD 2.8 Final Chapter Prologue
- Kingdom Hearts Dream Drop Distance HD
- Kingdom Hearts 0.2: Birth by Sleep – A fragmentary passage
- Kingdom Hearts χ Back Cover (movie)
The titles will get you caught up on all nine chapters of the franchise’s story – if you have yet to play Kindom Hearts 3. Speaking of which, the game has a demo available through the Xbox Store if you want to try it out.


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TTVStreamerTool was created by Pascal Pohl The TTVStreamer logo was created by Anhar Ismail * * *
Twitch and the Twitch logo are registered trademarks * * * TTVStreamerTool is licensed under the open source MIT license:Copyright 2017 Pascal «PakL» Pohl Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |


Pocketsphinx.js Live Demo.
This demo works on Chrome and Firefox (25+) with the Web Audio API. On very recent versions of Chrome, load this page with https as Google requires a secure connection to augorize audio recording.
Usage
Allow your browser to access the microphone, select a grammar, press Start, and start speaking.
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Grammars
- Cities
- Say some of the following cities:
New-York City
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Preparation time
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Dietary
Roughly cut up the apples then place into a preserving pan, pips, core and all. Add enough cold water to cover. Bring to the boil, reduce the heat and allow to simmer for 30-40 minutes, or until the fruit is pulpy.
Pour the fruit and liquid into a sterlised jelly bag and allow to drain through into a large container until it stops dripping, about 3-4 hours.
Measure the juice and allow 450g/1lb preserving sugar and 5g/1 tsp of chilli flakes for every 500ml/17fl oz of juice. Place the juice, sugar and chilli flakes in a clean pan. Bring to the boil, stirring until the sugar has dissolved. Reduce the heat and carefully skim off any scum from the surface. Return to the boil and boil vigorously for 15-20 minutes or until setting point is reached, skimming regularly. Using a sugar thermometer, the setting point will be reached at 105C/220F.
Remove the pan from the heat and leave to settle for a few minutes. Skim the surface once again. Pour the liquid jelly through a wide mouthed funnel into jars that have been sterilized (put in oven at 90C/200F/Gas¼). Seal each jar with a lid. This jelly will keep for 2 years, unopened.


evaluate_clonealign.Rd
Use mean squared error of predicting the expression of held-out genes to evaluate the quality of a clonealign fit.
evaluate_clonealign(gene_expression_data, copy_number_data, clonealign_fit, prop_holdout = 0.2, n_samples = 100, s = NULL, ...)
| gene_expression_data | Either a |
|---|---|
| copy_number_data | A gene-by-clone matrix of copy numbers, the same as the input to |
| clonealign_fit | The fit returned by a call to |
| prop_holdout | The proportion of genes to hold out as a test set for predicting gene expression |
| n_samples | The number of random permutations to establish a null distribution of predictive performance |
| s | Vector of cell size factors - defaults to the total counts per cell |
| ... | Additional arguments to pass to the |
A list object describing the evaluation results. See details
This evaluation function is built around the idea of how good predicted expression is under the model given the inferred (assigned) clones compared to how well you could predict expression given a random clonal assignment.
Evaluations performed
On the full dataset, the mean square error is compared to the randomized error, and a message printed about the ratio of the two errors and the proportion of time the observed error was less than the error under a null distribution. If either the error under the null is smaller than the observed, or is smaller some percentage of time, then the fit has real problems and should be abandoned as it suggests the model is stuck in a local maxima (which could happen if the proposed clones aren't actually present in the RNA-seq).
A certain proportion of genes (as decided by the prop_holdout
parameter) are held out as a test
set, and the clonealign fit is re-performed on the 1 - prop_holdout
proportion of genes. The function will then
print an agreement table of clone assignments between the full table and the reduced table. If these vastly disagree
for only a small change in gene set (ie prop_holdout
is around 0.1 or 0.2), then the fit may be unreliable
as it is sensitive to the genes inputted.
The same metrics from (1) are then printed where the evaluations are performed on the heldout set. Again, if the observed mean squared error given the clonealign fit isn't less than the null mean squared error a large proportion of the time, the fit may be unreliable.
Object returned
Everything computed above is returned in a list object with the following entries:
full_clonealign_fit - the original clonealign fit on the full gene set that was passed in as the
clonealign_fit
argument
full_observed_mse - the observed mean square error using the full gene set
full_null_mse - A vector of mean square error under the randomized (permuted) distribution
reduced_clonealign_fit - a clonealign fit on only the reduced (train) set of genes
heldout_inds - the indices of the genes held out (test set) for evaluating predictive performance out-of-sample
kept_inds - the indices of retained genes as part of the reduced (train) set
heldout_observed_mse - the observed mean square error on the heldout (test) set of genes
heldout_null_mse - a vector of mean square errors under a null distribution of randomly permuting the clones
library(SingleCellExperiment) data(example_clonealign_fit) data(example_sce) copy_number_data <- rowData(example_sce)[,c("A", "B", "C")] evaluate_clonealign(example_sce, copy_number_data, example_clonealign_fit)#> On the full dataset, the observed MSE was on average 1.00068199101321 times smaller than under a null model and smaller 100% of the time#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#> Agreement between original (rows) and reduced (columns): #> A B C #> A 51 33 1 #> B 2 100 9 #> C 0 0 4 #> On the held-out dataset, the observed MSE was on average 1.00104532277777 times smaller than under a null model and smaller 100% of the time#> $full_clonealign_fit #> A clonealign_fit for 200 cells, 100 genes, and 3 clones #> To access clone assignments, call x$clone #> To access ML parameter estimates, call x$ml_params #> $full_observed_mse #> [1] 8.165564 #> #> $full_null_mse #> [1] 8.154310 8.166977 8.188727 8.181782 8.165159 8.167555 8.179075 8.172130 #> [9] 8.184131 8.165554 8.187043 8.180571 8.176795 8.171300 8.157375 8.175110 #> [17] 8.185641 8.179719 8.171748 8.192153 8.161636 8.155985 8.154671 8.171442 #> [25] 8.187066 8.178323 8.170458 8.165517 8.172348 8.159575 8.174497 8.168530 #> [33] 8.179797 8.163616 8.189642 8.171136 8.169682 8.176496 8.160318 8.173017 #> [41] 8.173295 8.167151 8.179799 8.173885 8.180725 8.175595 8.177047 8.152684 #> [49] 8.173981 8.186816 8.157725 8.179524 8.165856 8.165767 8.164624 8.183834 #> [57] 8.177253 8.178063 8.149822 8.152051 8.171897 8.156803 8.181463 8.168415 #> [65] 8.163356 8.159418 8.174528 8.180864 8.169265 8.176029 8.195466 8.176538 #> [73] 8.166471 8.180492 8.168597 8.170262 8.180743 8.175697 8.173597 8.178742 #> [81] 8.164570 8.168137 8.175971 8.174829 8.157045 8.174294 8.169496 8.156630 #> [89] 8.165271 8.164037 8.170882 8.158499 8.175376 8.164344 8.169433 8.157970 #> [97] 8.160361 8.165938 8.167727 8.161714 #> #> $reduced_clonealign_fit #> A clonealign_fit for 200 cells, 80 genes, and 3 clones #> To access clone assignments, call x$clone #> To access ML parameter estimates, call x$ml_params #> $heldout_inds #> [1] 72 66 60 90 3 22 52 80 17 9 87 1 81 37 20 59 98 34 67 45 #> #> $kept_inds #> [1] 2 4 5 6 7 8 10 11 12 13 14 15 16 18 19 21 23 24 25 #> [20] 26 27 28 29 30 31 32 33 35 36 38 39 40 41 42 43 44 46 47 #> [39] 48 49 50 51 53 54 55 56 57 58 61 62 63 64 65 68 69 70 71 #> [58] 73 74 75 76 77 78 79 82 83 84 85 86 88 89 91 92 93 94 95 #> [77] 96 97 99 100 #> #> $heldout_observed_mse #> [1] 5.060314 #> #> $heldout_null_mse #> [1] 5.047976 5.079231 5.045589 5.072601 5.038944 5.068903 5.059268 5.018302 #> [9] 5.076334 5.085652 5.092805 5.054970 5.073584 5.085130 5.032874 5.030923 #> [17] 5.062821 5.058825 5.065252 5.069371 5.092889 5.066601 5.079692 5.064945 #> [25] 5.080774 5.075409 5.022453 5.050223 5.058505 5.083837 5.073288 5.063863 #> [33] 5.040052 5.089590 5.068245 5.045626 5.078114 5.020177 5.114059 5.075857 #> [41] 5.048223 5.061796 5.047791 5.048481 5.070281 5.045415 5.083511 5.088473 #> [49] 5.113912 5.052013 5.078123 5.051769 5.082680 5.061381 5.085314 5.071214 #> [57] 5.101640 5.079185 5.039494 5.071479 5.044071 5.095103 5.073446 5.049466 #> [65] 5.100744 5.066650 5.063223 5.062352 5.067454 5.039386 5.057637 5.065010 #> [73] 5.052644 5.049152 5.047871 5.072357 5.062026 5.054460 5.073883 5.060295 #> [81] 5.047926 5.087664 5.051152 5.066241 5.077961 5.068980 5.076766 5.074270 #> [89] 5.070654 5.079098 5.041946 5.083532 5.048877 5.100982 5.036633 5.074286 #> [97] 5.050818 5.078271 5.076683 5.064705 #>


public class Introspector extends Object
For each of those three kinds of information, the Introspector will separately analyze the bean's class and superclasses looking for either explicit or implicit information and use that information to build a BeanInfo object that comprehensively describes the target bean.
For each class "Foo", explicit information may be available if there exists a corresponding "FooBeanInfo" class that provides a non-null value when queried for the information. We first look for the BeanInfo class by taking the full package-qualified name of the target bean class and appending "BeanInfo" to form a new class name. If this fails, then we take the final classname component of this name, and look for that class in each of the packages specified in the BeanInfo package search path.
Thus for a class such as "sun.xyz.OurButton" we would first look for a BeanInfo class called "sun.xyz.OurButtonBeanInfo" and if that failed we'd look in each package in the BeanInfo search path for an OurButtonBeanInfo class. With the default search path, this would mean looking for "sun.beans.infos.OurButtonBeanInfo".
If a class provides explicit BeanInfo about itself then we add that to the BeanInfo information we obtained from analyzing any derived classes, but we regard the explicit information as being definitive for the current class and its base classes, and do not proceed any further up the superclass chain.
If we don't find explicit BeanInfo on a class, we use low-level reflection to study the methods of the class and apply standard design patterns to identify property accessors, event sources, or public methods. We then proceed to analyze the class's superclass and add in the information from it (and possibly on up the superclass chain).
For more information about introspection and design patterns, please consult the JavaBeans™ specification.
| Modifier and Type | Field and Description |
|---|---|
static int |
IGNORE_ALL_BEANINFO
Flag to indicate to ignore all beaninfo.
|
static int |
IGNORE_IMMEDIATE_BEANINFO
Flag to indicate to ignore immediate beaninfo.
|
static int |
USE_ALL_BEANINFO
Flag to indicate to use of all beaninfo.
|
| Modifier and Type | Method and Description |
|---|---|
static String |
decapitalize(String name)
Utility method to take a string and convert it to normal Java variable
name capitalization.
|
static void |
flushCaches()
Flush all of the Introspector's internal caches.
|
static void |
flushFromCaches(Class<?> clz)
Flush the Introspector's internal cached information for a given class.
|
static BeanInfo |
getBeanInfo(Class<?> beanClass)
Introspect on a Java Bean and learn about all its properties, exposed
methods, and events.
|
static BeanInfo |
getBeanInfo(Class<?> beanClass,
Class<?> stopClass)
Introspect on a Java bean and learn all about its properties, exposed
methods, below a given "stop" point.
|
static BeanInfo |
getBeanInfo(Class<?> beanClass,
Class<?> stopClass,
int flags)
Introspect on a Java Bean and learn about all its properties,
exposed methods and events, below a given
stopClass point
subject to some control flags . |
static BeanInfo |
getBeanInfo(Class<?> beanClass,
int flags)
Introspect on a Java bean and learn about all its properties, exposed
methods, and events, subject to some control flags.
|
static String[] |
getBeanInfoSearchPath()
Gets the list of package names that will be used for
finding BeanInfo classes.
|
static void |
setBeanInfoSearchPath(String[] path)
Change the list of package names that will be used for
finding BeanInfo classes.
|
public static final int USE_ALL_BEANINFO
public static final int IGNORE_IMMEDIATE_BEANINFO
public static final int IGNORE_ALL_BEANINFO
public static BeanInfo getBeanInfo(Class<?> beanClass) throws IntrospectionException
If the BeanInfo class for a Java Bean has been previously Introspected then the BeanInfo class is retrieved from the BeanInfo cache.
beanClass
- The bean class to be analyzed.IntrospectionException
- if an exception occurs during
introspection.flushCaches()
,
flushFromCaches(java.lang.Class<?>)
public static BeanInfo getBeanInfo(Class<?> beanClass, int flags) throws IntrospectionException
If the BeanInfo class for a Java Bean has been previously Introspected based on the same arguments then the BeanInfo class is retrieved from the BeanInfo cache.
beanClass
- The bean class to be analyzed.flags
- Flags to control the introspection.
If flags == USE_ALL_BEANINFO then we use all of the BeanInfo
classes we can discover.
If flags == IGNORE_IMMEDIATE_BEANINFO then we ignore any
BeanInfo associated with the specified beanClass.
If flags == IGNORE_ALL_BEANINFO then we ignore all BeanInfo
associated with the specified beanClass or any of its
parent classes.IntrospectionException
- if an exception occurs during
introspection.public static BeanInfo getBeanInfo(Class<?> beanClass, Class<?> stopClass) throws IntrospectionException
If the BeanInfo class for a Java Bean has been previously Introspected based on the same arguments, then the BeanInfo class is retrieved from the BeanInfo cache.
beanClass
- The bean class to be analyzed.stopClass
- The baseclass at which to stop the analysis. Any
methods/properties/events in the stopClass or in its baseclasses
will be ignored in the analysis.IntrospectionException
- if an exception occurs during
introspection.public static BeanInfo getBeanInfo(Class<?> beanClass, Class<?> stopClass, int flags) throws IntrospectionException
stopClass
point
subject to some control flags
.
beanClass
will be ignored.beanClass
or any of its parent classes will be ignored.stopClass
or in its parent classes will be ignored in the analysis.
If the BeanInfo class for a Java Bean has been previously introspected based on the same arguments then the BeanInfo class is retrieved from the BeanInfo cache.
beanClass
- the bean class to be analyzedstopClass
- the parent class at which to stop the analysisflags
- flags to control the introspectionIntrospectionException
- if an exception occurs during introspectionpublic static String decapitalize(String name)
Thus "FooBah" becomes "fooBah" and "X" becomes "x", but "URL" stays as "URL".
name
- The string to be decapitalized.public static String[] getBeanInfoSearchPath()
public static void setBeanInfoSearchPath(String[] path)
First, if there is a security manager, its checkPropertiesAccess
method is called. This could result in a SecurityException.
path
- Array of package names.SecurityException
- if a security manager exists and its
checkPropertiesAccess
method doesn't allow setting
of system properties.SecurityManager.checkPropertiesAccess()
public static void flushCaches()
public static void flushFromCaches(Class<?> clz)
clz
- Class object to be flushed.NullPointerException
- If the Class object is null.Dracula Javadoc Sample, Made with Allan Im.


I've been wondering if there will be BetterBattlelog support for Battlefield Hardline.
As soon as the HL (HardLine) Battlelog came on screen I could tell something was missing. In BF3 & BF4 I really, really like the BBLog & always use the enhancements, & always recommend it to players that don't have it. If it's not going to be for HL, the HL Battlelog will seem incomplete & will be sorely missed because EA & Dice will never do as good a job as what you guys have done BF3 & 4.
BrainFooLong
Administrator
BBLog for BF Hardline is on the plan. But i have no ETA for it.
Topicstarter
FTF-Jimbo
Nice. Thank you. Keep up the good work, it's all appreciated. If I understood how to write the coding & values, I'd help out, but unfortunately, it's way above my head. UK BTEC computer engineer level 2 course is as far as I've got so far, about 1/4 of the way through.


Salmon Cookie Sales
Add Data to Table
Location:
Minimum Customers Each Hour:
Maximum Customers Each Hour:
Average Cookies Purchased Per Customer:
Submit


{% include head.html %}
{% include header.html %} {% include intro.html %} {% include services.html %} {% include portfolio_grid.html %} {% include badges.html %} {% include contact.html %} {% include footer.html %} {% include modals.html %} {% include js.html %}


Info
Ports allow blocks to be bound together such that the output from one port can be directly piped to the input of another port. This allows a reactive programming style paradigm in which the app code more closely resembles the composability of the underlying circuits.
Ports can come in two different flavors, Input and Output, which indicate the direction of data flow. An InputPort on a Block receives signal data, and an OutputPort sends signal data.
Additionally, there is one more specialized Port called a ConfigPort. Certain Blocks can be configured to modify their output based on parameters specified by a ConfigPort. The beauty of ConfigPorts is that as opposed to having set-and-forget parameters, a ConfigPort is itself a port, meaning it can modify configuration in real-time, over time. For example, you could use the SineWave Generator Block to generate a Sine Wave signal, and then feed that into the ConfigPort, so that the configuration values would be constantly changing, in synch with the sine wave.
The following example illustrates creating Digital Pin Blocks that are bound to physical pins on the Netduino hardware (in this case pins that correspond to the onboard button and onboard LED), and then connecting the OutputPort of the Button to the InputPort on the LED, such that when the button is pressed (signal goes high), its output is sent directly to the LED and it also goes high (on):
- Test
public class Program
{
static H.Cpu.Pin buttonHardware = Pins.ONBOARD_BTN;
static H.Cpu.Pin ledHardware = Pins.ONBOARD_LED;
public static void Main()
{
// Create the blocks
var button = new DigitalInputPin (buttonHardware);
var led = new DigitalOutputPin (ledHardware);
button.Output.ConnectTo (led.Input);
// keep the program alive
while (true) {
System.Threading.Thread.Sleep (1000);
}
}
}
Members
Constructors
| Signature | Description |
|---|---|
| public Port (BlockBase block, string name, Units units, double initialValue = 0); | Creates a new instance of the Port class with the specified values. |
| public Port (); | Creates a new instance of the Port class. |
Circuit
Heading 4 Example
Ports allow blocks to be bound together such that the output from one port can be directly piped to the input of another port. This allows a reactive programming style paradigm in which the app code more closely resembles the composability of the underlying circuits.


Zorba is a query processor designed for flexible data:
from the simplicity of JSON to the completeness of XML.
Zorba is distributed under the Apache License, Version 2.0.
Zorba is a virtual machine for query processing. Two different syntaxes - XQuery and JSONiq - are featured by the same query compiler and query runtime. XQuery and JSONiq share the same type system, the same operations on atomic types, the same semantics of core expressions such that if-then-else expressions, FLWOR expressions, and the same abstract navigation mechanism for both XML (XPath) and JSON (object and array lookup).
The Zorba virtual machine can be used to process JSON using JSONiq or XML using XQuery. Those two languages have syntaxes that are tailored to aesthetic preferences of the corresponding community. More than that, Zorba can even be used to combine processing of JSON and XML. Both languages have been designed from the ground up to process semi-structured data for which SQL is not well adapted.
Zorba users have immediate access to advanced, out of the box, data processing libraries. Built-in functions empower queries to use advanced math processing, string matching, data cleaning, or full-text features. Beyond that, conversion (e.g. CSV, PDF, HTML, ZIP), communication (e.g. HTTP, SMTP, IMAP), and connector (e.g. SQLLite, JDBC, CouchBase) libraries allow the user to productively process the Web's data.
Zorba allows for plug-in alternative store implementations under the hood of the query processor. This enables users to seamlessly process data stored in different places: main memory, browser, disk, or cloud stores.
The source code is released under the Apache License, Version 2.0. The best ways to contribute are by finding and reporting bugs, writing tests for bugs, and improving the documentation.
Currently the source is hosted on Github.
Bug reports are incredibly helpful. Please take the time to report bugs and request features in our ticket tracker. We're always grateful for patches.
| User List | Archive |<EMAIL_ADDRESS>|
| Developer List | Archive |<EMAIL_ADDRESS>|


This is a header, obviously.
Helloooooooo! Here are some of my favorite plants:
grapes
!
orchids
blueberries
japanese peonies
lillies


Snubbed Hulkenberg rules out F1 retirement
by OmnisportNico Hulkenberg has ruled out retiring from Formula One but knows he will not be on the grid next season after being axed by Renault.
Esteban Ocon will take Hulkenberg's seat at the Enstone squad next year, partnering Daniel Ricciardo.
A move to Haas was mooted as a possible option for the German driver, but Romain Grosjean was retained along with Kevin Magnussen.
Williams are the only team not to have finalised their line-up for 2020, with Robert Kubica leaving after one year back in the sport as George Russell's team-mate.
Hulkenberg has accepted he is surplus to requirements, yet says he is not finished in the sport.
"It looks like, in all honesty, that there is no seat available now," he told Sky F1.
"I guess it [Williams] is not the right seat for me and the timing... I'm not the right person for them to be honest.
"I'm not retiring. I love Formula One, I love what we do here, I love the competition. I can live with it. I think 10 years is a long time and a fair share of Formula 1.
"But for sure I'm going to miss it next year when I have to watch the first race on TV."
Hulkenberg reiterated that reverting to being a reserve driver is not an option.
"To go and do that, when you're young and at the beginning, and I did that in 2011, I think that's the right and obvious thing to do," the 32-year-old said.
"To do that when more advanced in the career, it's kind of a hard one to take when you've raced so many years consecutively. That role, I'm not sure about."
Hulkenberg is 13th in the 2019 driver standings with 37 points ahead of the season-ending race in Abu Dhabi on December 1.


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About Debco
In 1953, Dwane Busse of Hester-Bradley Company was offered the Warren Webster contract. Leaving Hester-Bradley with two other employees, Dwane formed Debco Equipment Co. Shortly after incorporation, Debco Equipment Co. received a contract with Kewanee Boiler Corporation.
For over 50 years, we have remained a Boiler Room Specialty company. Consistent quality, Energy Savings, and correct Boiler applications are our goals for each and every customer.
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DEBCO EQUIPMENT COMPANY
º 1814 South Third S.
º St. Louis, MO 63104
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We are excited to announce that we have two new AWE Stations in the Children’s Department and this time around they are BILINGUAL Spanish and English! These literacy stations introduce young learners to a variety of games and applications that are STREAM-aligned, including: Science, Technology, Reading, Engineering, Arts, and Math. Children ages 1-8 can easily explore guaranteed safe content that is developmentally appropriate and ideal for a variety of learning styles.


- VLCGAllostericControlModel - Class in org.varnerlab.kwatee.cellfreemodel
-
Copyright (c) 2015 Varnerlab,
School of Chemical Engineering,
Purdue University, West Lafayette IN 46077 USA.
- VLCGAllostericControlModel() - Constructor for class org.varnerlab.kwatee.cellfreemodel.VLCGAllostericControlModel
-
- VLCGAllostericParserDelegate - Class in org.varnerlab.kwatee.cellfreemodel
-
Copyright (c) 2015 Varnerlab,
School of Chemical Engineering,
Purdue University, West Lafayette IN 46077 USA.
- VLCGAllostericParserDelegate() - Constructor for class org.varnerlab.kwatee.cellfreemodel.VLCGAllostericParserDelegate
-
- VLCGJuliaCellFreeModelDelegate - Class in org.varnerlab.kwatee.cellfreemodel
-
Copyright (c) 2015 Varnerlab,
School of Chemical Engineering,
Purdue University, West Lafayette IN 46077 USA.
- VLCGJuliaCellFreeModelDelegate() - Constructor for class org.varnerlab.kwatee.cellfreemodel.VLCGJuliaCellFreeModelDelegate
-
- VLCGMetabolicReactionModel - Class in org.varnerlab.kwatee.cellfreemodel
-
Copyright (c) 2015 Varnerlab,
School of Chemical Engineering,
Purdue University, West Lafayette IN 46077 USA.
- VLCGMetabolicReactionModel() - Constructor for class org.varnerlab.kwatee.cellfreemodel.VLCGMetabolicReactionModel
-
- VLCGMetabolismParserDelegate - Class in org.varnerlab.kwatee.cellfreemodel
-
Copyright (c) 2015 Varnerlab,
School of Chemical Engineering,
Purdue University, West Lafayette IN 46077 USA.
- VLCGMetabolismParserDelegate() - Constructor for class org.varnerlab.kwatee.cellfreemodel.VLCGMetabolismParserDelegate
-
- VLCGMetaboliteSymbol - Class in org.varnerlab.kwatee.cellfreemodel
-
Copyright (c) 2015 Varnerlab,
School of Chemical Engineering,
Purdue University, West Lafayette IN 46077 USA.
- VLCGMetaboliteSymbol() - Constructor for class org.varnerlab.kwatee.cellfreemodel.VLCGMetaboliteSymbol
-
Creates a new instance of StateSymbol
- VLCGParserHandlerDelegate - Interface in org.varnerlab.kwatee.cellfreemodel
-
Copyright (c) 2015 Varnerlab,
School of Chemical Engineering,
Purdue University, West Lafayette IN 46077 USA.
- VLCGParseVarnerFlatFile - Class in org.varnerlab.kwatee.cellfreemodel
-
Copyright (c) 2015 Varnerlab,
School of Chemical Engineering,
Purdue University, West Lafayette IN 46077 USA.
- VLCGParseVarnerFlatFile() - Constructor for class org.varnerlab.kwatee.cellfreemodel.VLCGParseVarnerFlatFile
-
- VLCGWriteJuliaCellFreeModel - Class in org.varnerlab.kwatee.cellfreemodel
-
Copyright (c) 2015 Varnerlab,
School of Chemical Engineering,
Purdue University, West Lafayette IN 46077 USA.
- VLCGWriteJuliaCellFreeModel() - Constructor for class org.varnerlab.kwatee.cellfreemodel.VLCGWriteJuliaCellFreeModel
-


Overview
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_
E
EagerAbsSemantics
- Class in
fsb.semantics.eagerpso
EagerAbsSemantics(int)
- Constructor for class fsb.semantics.eagerpso.
EagerAbsSemantics
EagerAbsState
- Class in
fsb.semantics.eagerpso
EagerAbsState(MProgram, Validator, int)
- Constructor for class fsb.semantics.eagerpso.
EagerAbsState
EagerAbsState(EagerAbsState)
- Constructor for class fsb.semantics.eagerpso.
EagerAbsState
EagerAbsStateFactory
- Class in
fsb.semantics.eagerpso
EagerAbsStateFactory()
- Constructor for class fsb.semantics.eagerpso.
EagerAbsStateFactory
EdgeDecorator
- Class in
ags.graph
EdgeDecorator(Set<Transition>, Transition)
- Constructor for class ags.graph.
EdgeDecorator
edgeDecorator
- Variable in class ags.graph.
StyledDotExporter
EdgeEmptyNameProvider
<
T
> - Class in
ags.graph
EdgeEmptyNameProvider()
- Constructor for class ags.graph.
EdgeEmptyNameProvider
edgeLabelProvider
- Variable in class ags.graph.
StyledDotExporter
EmpEagerAbsSemantics
- Class in
fsb.semantics.empeagerpso
EmpEagerAbsSemantics(int)
- Constructor for class fsb.semantics.empeagerpso.
EmpEagerAbsSemantics
EmpEagerAbsState
- Class in
fsb.semantics.empeagerpso
EmpEagerAbsState(MProgram, Validator, int)
- Constructor for class fsb.semantics.empeagerpso.
EmpEagerAbsState
EmpEagerAbsState(EmpEagerAbsState)
- Constructor for class fsb.semantics.empeagerpso.
EmpEagerAbsState
EmpEagerAbsStateFactory
- Class in
fsb.semantics.empeagerpso
EmpEagerAbsStateFactory()
- Constructor for class fsb.semantics.empeagerpso.
EmpEagerAbsStateFactory
EMPTY_DECORATION
- Static variable in class ags.graph.
StateDecorator
encounterVertexAgain(V, E)
- Method in class ags.graph.
CycleDetector.ProbeIterator
End
- Class in
fsb.ast
End()
- Constructor for class fsb.ast.
End
EndAtomic
- Class in
fsb.ast
EndAtomic()
- Constructor for class fsb.ast.
EndAtomic
ENDATOMIC
- Static variable in class fsb.parser.
sym
ensure(int)
- Method in class ags.constraints.
BitSet
Make sure the vector is big enough.
enumerateStateSpaceViaDFS(TransitionSystem, Map<State, State>, Stack<State>, Vertex)
- Method in class fsb.explore.
Explorer
EOF
- Static variable in class fsb.parser.
sym
EOF_sym()
- Method in class fsb.parser.
parser
EOF
Symbol index.
EQUAL
- Static variable in class fsb.parser.
sym
EQUALITY
- Static variable in class ags.constraints.
BDDFormula.AtomComplexityComparator
equals(Object)
- Method in class ags.constraints.
AtomicPredicateDictionary.Coords
equals(Object)
- Method in class ags.constraints.
BDDFormula
equals(Object)
- Method in class ags.constraints.
BitCompositeFormula
equals(Object)
- Method in class ags.constraints.
BitSet
Returns true if the
obj
is a bit set that contains exactly the same elements as this bit set, otherwise false.
equals(Object)
- Method in class ags.constraints.
CompositeFormula
equals(Object)
- Method in class ags.constraints.
LocationAtomicPredicate
equals(Object)
- Method in class ags.graph.
Trace
equals(Object)
- Method in class fsb.explore.
Resource
equals(Object)
- Method in class fsb.explore.
SBState
equals(Object)
- Method in class fsb.explore.
State
equals(Object)
- Method in class fsb.explore.
Transition
equals(Object)
- Method in class fsb.semantics.
BufVal
equals(Object)
- Method in class fsb.semantics.eagerpso.
EagerAbsState
equals(Object)
- Method in class fsb.semantics.eagerpso.
SharedResVal.AbstractBuffer
equals(Object)
- Method in class fsb.semantics.eagerpso.
SharedResVal
equals(Object)
- Method in class fsb.semantics.empeagerpso.
EmpEagerAbsState
equals(Object)
- Method in class fsb.semantics.empeagerpso.
SharedResVal.AbstractBuffer
equals(Object)
- Method in class fsb.semantics.empeagerpso.
SharedResVal
equals(Object)
- Method in class fsb.semantics.naivepso.
NaiveAbsState
equals(Object)
- Method in class fsb.semantics.naivepso.
SharedResVal.AbstractBuffer
equals(Object)
- Method in class fsb.semantics.naivepso.
SharedResVal
equals(Object)
- Method in class fsb.semantics.pso.
PSOState
equals(Object)
- Method in class fsb.semantics.pso.
SharedResVal
equals(Object)
- Method in class fsb.semantics.sc.
SCState
error(String)
- Method in class fsb.parser.
Lexer
error
- Static variable in class fsb.parser.
sym
error_sym()
- Method in class fsb.parser.
parser
error
Symbol index.
evalShared(SBState, int)
- Method in class fsb.ast.
DerefSharedVal
evalShared(SBState, int)
- Method in class fsb.ast.
PrimitiveSharedVal
evalShared(SBState, int)
- Method in interface fsb.ast.
SharedVal
evaluate(State, int)
- Method in interface fsb.ast.
AritExpr
evaluate(State)
- Method in interface fsb.ast.
AssertAritExpr
evaluate(State)
- Method in interface fsb.ast.
AssertBoolExpr
evaluate(State)
- Method in class fsb.ast.
AssertComparsionBool
evaluate(State)
- Method in class fsb.ast.
AssertComplexBool
evaluate(State)
- Method in class fsb.ast.
AssertConstBool
evaluate(State)
- Method in class fsb.ast.
AssertConstExpr
evaluate(State)
- Method in class fsb.ast.
AssertGlobal
evaluate(State)
- Method in class fsb.ast.
AssertIndirectGlobal
evaluate(State)
- Method in class fsb.ast.
AssertLocal
evaluate(State)
- Method in class fsb.ast.
AssertNotBool
evaluate(State)
- Method in class fsb.ast.
AssertPC
evaluate(State, int)
- Method in interface fsb.ast.
BoolExpr
evaluate(State, int)
- Method in class fsb.ast.
ComparsionBool
evaluate(State, int)
- Method in class fsb.ast.
ComplexAritExpr
evaluate(State, int)
- Method in class fsb.ast.
ComplexBool
evaluate(State, int)
- Method in class fsb.ast.
ConstBool
evaluate(State, int)
- Method in class fsb.ast.
ConstExpr
evaluate(State, int)
- Method in class fsb.ast.
LocalExpr
evaluate(State, int)
- Method in class fsb.ast.
NondetArit
evaluate(State, int)
- Method in class fsb.ast.
NondetBool
evaluate(State, int)
- Method in class fsb.ast.
NotBool
execute(Set<V>, V)
- Method in class ags.graph.
CycleDetector
EXISTS_FORMULA
- Static variable in class ags.constraints.
BDDFormula.AtomComplexityComparator
explore()
- Method in class fsb.explore.
Explorer
This build the transition system, and then hands it off to find the constraint formula, which is returned.
Explorer
- Class in
fsb.explore
Explorer(Semantics)
- Constructor for class fsb.explore.
Explorer
export(Writer, Graph<V, E>)
- Method in class ags.graph.
StyledDotExporter
Exports a graph into a plain text file in DOT format.
expr
- Variable in class fsb.ast.
Assert
expr
- Variable in class fsb.ast.
AssertIndirectGlobal
expr
- Variable in class fsb.ast.
AssertNotBool
expr
- Variable in class fsb.ast.
DerefSharedVal
expr
- Variable in class fsb.ast.
NotBool
ExprValidator
- Class in
fsb.explore
ExprValidator(AssertBoolExpr, boolean)
- Constructor for class fsb.explore.
ExprValidator
ey1Validator
- Static variable in class fsb.parser.
Main
ey2Validator
- Static variable in class fsb.parser.
Main
Overview
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Z
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Napoleon Russian Campaign¶
Minard’s data from Napoleon’s 1812-1813 Russian Campaign. http://www.math.yorku.ca/SCS/Gallery/minard/minard.txt
# Author: Aric Hagberg<EMAIL_ADDRESS># Copyright (C) 2006-2018 by
# Aric Hagberg<EMAIL_ADDRESS># Dan Schult<EMAIL_ADDRESS># Pieter Swart<EMAIL_ADDRESS># All rights reserved.
# BSD license.
import matplotlib.pyplot as plt
import networkx as nx
def minard_graph():
data1 = """\
24.0,54.9,340000,A,1
24.5,55.0,340000,A,1
25.5,54.5,340000,A,1
26.0,54.7,320000,A,1
27.0,54.8,300000,A,1
28.0,54.9,280000,A,1
28.5,55.0,240000,A,1
29.0,55.1,210000,A,1
30.0,55.2,180000,A,1
30.3,55.3,175000,A,1
32.0,54.8,145000,A,1
33.2,54.9,140000,A,1
34.4,55.5,127100,A,1
35.5,55.4,100000,A,1
36.0,55.5,100000,A,1
37.6,55.8,100000,A,1
37.7,55.7,100000,R,1
37.5,55.7,98000,R,1
37.0,55.0,97000,R,1
36.8,55.0,96000,R,1
35.4,55.3,87000,R,1
34.3,55.2,55000,R,1
33.3,54.8,37000,R,1
32.0,54.6,24000,R,1
30.4,54.4,20000,R,1
29.2,54.3,20000,R,1
28.5,54.2,20000,R,1
28.3,54.3,20000,R,1
27.5,54.5,20000,R,1
26.8,54.3,12000,R,1
26.4,54.4,14000,R,1
25.0,54.4,8000,R,1
24.4,54.4,4000,R,1
24.2,54.4,4000,R,1
24.1,54.4,4000,R,1"""
data2 = """\
24.0,55.1,60000,A,2
24.5,55.2,60000,A,2
25.5,54.7,60000,A,2
26.6,55.7,40000,A,2
27.4,55.6,33000,A,2
28.7,55.5,33000,R,2
29.2,54.2,30000,R,2
28.5,54.1,30000,R,2
28.3,54.2,28000,R,2"""
data3 = """\
24.0,55.2,22000,A,3
24.5,55.3,22000,A,3
24.6,55.8,6000,A,3
24.6,55.8,6000,R,3
24.2,54.4,6000,R,3
24.1,54.4,6000,R,3"""
cities = """\
24.0,55.0,Kowno
25.3,54.7,Wilna
26.4,54.4,Smorgoni
26.8,54.3,Moiodexno
27.7,55.2,Gloubokoe
27.6,53.9,Minsk
28.5,54.3,Studienska
28.7,55.5,Polotzk
29.2,54.4,Bobr
30.2,55.3,Witebsk
30.4,54.5,Orscha
30.4,53.9,Mohilow
32.0,54.8,Smolensk
33.2,54.9,Dorogobouge
34.3,55.2,Wixma
34.4,55.5,Chjat
36.0,55.5,Mojaisk
37.6,55.8,Moscou
36.6,55.3,Tarantino
36.5,55.0,Malo-Jarosewii"""
c = {}
for line in cities.split('\n'):
x, y, name = line.split(',')
c[name] = (float(x), float(y))
g = []
for data in [data1, data2, data3]:
G = nx.Graph()
i = 0
G.pos = {} # location
G.pop = {} # size
last = None
for line in data.split('\n'):
x, y, p, r, n = line.split(',')
G.pos[i] = (float(x), float(y))
G.pop[i] = int(p)
if last is None:
last = i
else:
G.add_edge(i, last, **{r: int(n)})
last = i
i = i + 1
g.append(G)
return g, c
if __name__ == "__main__":
(g, city) = minard_graph()
plt.figure(1, figsize=(11, 5))
plt.clf()
colors = ['b', 'g', 'r']
for G in g:
c = colors.pop(0)
node_size = [int(G.pop[n] / 300.0) for n in G]
nx.draw_networkx_edges(G, G.pos, edge_color=c, width=4, alpha=0.5)
nx.draw_networkx_nodes(G, G.pos, node_size=node_size, node_color=c, alpha=0.5)
nx.draw_networkx_nodes(G, G.pos, node_size=5, node_color='k')
for c in city:
x, y = city[c]
plt.text(x, y + 0.1, c)
plt.show()
Total running time of the script: ( 0 minutes 0.019 seconds)


--- layout: post title: Five Nights at Freddy’s in Latest Humble Mobile Bundle date: 2016-12-01 17:03:45 +0800 ---
If you’ve somehow missed out on the hottest mobile game of late 2014 and own an Android device, you’ve officially run out of excuses. The latest Humble Mobile Bundle (or as they’re calling it, MoBoo!ile Bundle) is offering six games, headlined by everyone’s favorite animatronic monster.
Bonus: They’re also giving away The Spookening for free.
 Grab it now from humblebundle.com/mobile.


Web Design
Brand
Strategy
Simplicity is the by-product of a detailed process.
sherms___
I am a web designer focused on user experience and brand identity design.


| 076:023 Khan | : |
Verily! It is We Who have sent down the Qur'an to you (O Muhammad SAW) by stages. |
| 076:023 Maulana | : |
Surely We have revealed the Qur'an to thee, in portions. |
| 076:023 Pickthal | : |
Lo! We, even We, have revealed unto thee the Qur'an, a revelation; |
| 076:023 Rashad | : |
We have revealed to you this Quran; a special revelation from us. |
| 076:023 Sarwar | : |
(Muhammad), We have revealed the Quran to you in gradual steps. |
| 076:023 Shakir | : |
Surely We Ourselves have revealed the Quran to you revealing (it) in portions. |
| 076:023 Sherali | : |
Surely, WE have revealed unto thee the Qur'an piecemeal. |
| 076:023 Yusufali | : |
It is We Who have sent down the Qur'an to thee by stages. |
Concepts/Themes Covered: الإيمان > الغيب > الجنة > أصحاب الجنة Faith> The Unseen World> The Paradise> The Companions of the Garden الإيمان > الغيب > الجنة > صفات الجنة Faith> The Unseen World> The Paradise> Characteristics of Paradise القرآن الكريم > حقيقته وتصديقه للكتب الأوائل The Holy Quran> The Quran's Reality and its confirmation of the Previous Books القرآن الكريم > وصفه ووجوب الإيمان به The Holy Quran> The Description and the Necessity to Believe it
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


|
| Local Properties | Local Methods | |
| Managed Object Types | Data Object Types | All Properties | All Methods |
Typically, a client creates a history collector by using a filter on a potentially large set, such as all the events in a datacenter. The collector provides access to the items that match the filter, which could also be a relatively large set.
The items in a collector are always ordered by date and time of creation. Item properties normally include this time stamp.
The client may set the "viewable latest page" for the collector, which is the contiguous subset of the items that are of immediate interest. These items are available as the "latestPage" property, which the client may retrieve and monitor by using the PropertyCollector managed object.
Clients can change the page size of the "latestPage" by using setLatestPageSize().
The client may use the following features of the history collector.
Properties
| Name | Type | Description |
|---|---|---|
| filter | xsd:anyType |
The filter used to create this collector.
The type of the returned filter is determined by the managed object
for which the collector is created.
|
Methods
| Methods defined in this Managed Object |
|---|
| DestroyCollector, ResetCollector, RewindCollector, SetCollectorPageSize |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the HistoryCollector used to make the method call. |
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the HistoryCollector used to make the method call. |
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the HistoryCollector used to make the method call. |
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the HistoryCollector used to make the method call. |
| maxCount | xsd:int |
The maximum number of items in the page.
|
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| InvalidArgument | Thrown if maxCount is out of range. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
| Top of page | Local Properties | Local Methods | |
| Managed Object Types | Data Object Types | All Properties | All Methods |


K8S Dashboard (private IP access)
Kubernetes Demo Control
Status
Setup K8S Cloud
Run
Configure DNS VS
Run
Start Apps
Run
Traffic
Start
Stop
Create Ingress
Local
AWS
Configure GSLB Cluster
Run
Update Ingress for GSLB
Run
Cleanup
Run


Fast-Trips is an open-source code base that has been developed at the University of Arizona and the University of Texas at Austin via a series of Federal grants to simulate transit passenger route-finding and user experiences.
Many of the questions confronting urban transportation planners today concern moving people rather than vehicles. However, most advanced operational planning analysis tools still operate on the vehicle as the primary unit of analysis and use a geographic scale incompatible with the measures of concern to human-scale travel. When our ability to analyze solution A far surpasses our ability to analyze and understand solutions B, C, and D, we may be more likely to pick option A even though it isn't the best.
Great strides in advanced operational planning for vehicles have been widely supported and are starting to be adopted by the mainstream. This includes technology known as Dynamic Traffic Assignment which routes vehicles through an entire area using a second-by-second time resolution. While transit is often represented in Dynamic Traffic Assignment, its performance can only be measured based on how well the vehicle performs in traffic, not the quality of the route to the person taking transit. While this enables engineers to analyze how much faster a bus might get through an intersection with transit signal priority, it doesn't let planners understand the levels of investment necessary to ameliorate over-crowding or engineers and service planners understand the system-level effects of strategies to address transit reliability.
We are a team of three public-agencies with similar goals for analyzing human-scale transportation investments who came together in 2014 to apply for and win a Federal grant through the SHRP-2 program ( specifically, C10 Implementation Assistance ). This will be the first attempt to implement a production-ready and calibrated person-based dynamic transit component to a regional transportation planning model based on the Fast-Trips code base.
This website will document our plans, journey, and lessons-learned.


Contributions to Chart.js are welcome and encouraged, but please have a look through the guidelines in this document before raising an issue, or writing code for the project.
The issue tracker is the preferred channel for reporting bugs, requesting new features and submitting pull requests.
If you're suggesting a new chart type, please take a look at writing new chart types in the documentation or consider creating a plugin.
To keep the library lightweight for everyone, it's unlikely we'll add many more chart types to the core of Chart.js, but issues are a good medium to design and spec out how new chart types could work and look.
Please do not use issues for support requests. For help using Chart.js, please take a look at the chartjs
tag on Stack Overflow.
Well structured, detailed bug reports are hugely valuable for the project.
Guidlines for reporting bugs:
Please provide any additional details associated with the bug, if it's browser or screen density specific, or only happens with a certain configuration or data.
Run npm install
to install all the libraries, then run gulp dev --test
to build and run tests as you make changes.
Clear, concise pull requests are excellent at continuing the project's community driven growth. But please review these guidelines and the guidelines below before starting work on the project.
Be advised that Chart.js 1.0.2 is in feature-complete status. Pull requests adding new features to the 1.x branch will be disregarded.
Guidelines:
/src
, not Chart.js
or Chart.min.js
in the repo root directory, this avoids merge conflicts.md
file in /docs
By contributing your code, you agree to license your contribution under the MIT license.


{{>layout/header}} Profile Home Profile {{username}} Data: House size: {{housesize}} Garden: {{garden}} Kids: {{nkids}} People in house: {{pinhouse}} Gallery Add Image Load More {{>layout/footer}}
Home Profile
House size: {{housesize}}
Garden: {{garden}}
Kids: {{nkids}}
People in house: {{pinhouse}}


My name is Widny St. Louis
I know, interesting first name right. Widny is a combination of my mother and father's name. Hated it at first but now I like it. I was born and raised in South Florida. I am 27 years old. Life is going by to quickly. I've taken it for granted. I was homeschooled by my mother, father, aunt, and uncle. Lot's of things I am still naive about to this day.
What are my hobbies
- Love to read books of course. I'll almost every genre if the content is interesting.
- Love to travel
- Sometines I get the itch to cook something original (so far the reviews have been negative
- Love to create stories(written several storiesin my head
- Love to dream up ideas that solve a problem or just create something really cool
What are my aspirations
to be HAPPY
What is happiness to me?
- to give love and accept love
- to live a life of purpose and create positive change
- to learn and develop. Become smarter and wiser. Be able to overcome challenges.
- enjoy my interests and discover new hobbies, interests, and ideas
Few words that best describe me
- Dreamer
- Hard worker
- Extremely shy, list goes on and on


pie title Pets adopted by volunteers
"Dogs" : 386
"Cats" : 85
"Rats" : 15
gantt
title Adding GANTT diagram functionality to mermaid
excludes :excludes the named dates/days from being included in a charted task..
section Screening
Lexplore :active, des1, 2023-01-06,2023-01-08
H4 :active, des2, 2024-01-09, 3d
Future task : des3, after des2, 5d
Future task2 : des4, after des3, 5d
info
gitGraph:
options
{
"nodeSpacing": 150,
"nodeRadius": 10
}
end
commit
branch newbranch
checkout newbranch
commit
commit
checkout master
commit
commit
merge newbranch
sequenceDiagram
participant a as Alice
participant j as John
note right of a: Hello world!
properties a: {"class": "internal-service-actor", "type": "@clock"}
properties j: {"class": "external-service-actor", "type": "@computer"}
links a: {"Repo": "https://www.contoso.com/repo", "Swagger": "https://www.contoso.com/swagger"}
links j: {"Repo": "https://www.contoso.com/repo"}
links a: {"Dashboard": "https://www.contoso.com/dashboard", "On-Call": "https://www.contoso.com/oncall"}
link a: Contacts<EMAIL_ADDRESS>a->>j: Hello John, how are you?
j-->>a: Great!
journey
title My working day
section Go to work
Make tea: 5: Me
Go upstairs: 3: Me
Do work: 1: Me, Cat
section Go home
Go downstairs: 5: Me
Sit down: 5: Me
requirementDiagram
requirement test_req {
id: 1
text: the test text.
risk: high
verifymethod: test
}
functionalRequirement test_req2 {
id: 1.1
text: the second test text.
risk: low
verifymethod: inspection
}
performanceRequirement test_req3 {
id: 1.2
text: the third test text.
risk: medium
verifymethod: demonstration
}
element test_entity {
type: simulation
}
element test_entity2 {
type: word doc
docRef: reqs/test_entity
}
test_entity - satisfies -> test_req2
test_req - traces -> test_req2
test_req - contains -> test_req3
test_req <- copies - test_entity2
erDiagram
CUSTOMER }|..|{ DELIVERY-ADDRESS : has
CUSTOMER ||--o{ ORDER : places
CUSTOMER ||--o{ INVOICE : "liable for"
DELIVERY-ADDRESS ||--o{ ORDER : receives
INVOICE ||--|{ ORDER : covers
ORDER ||--|{ ORDER-ITEM : includes
PRODUCT-CATEGORY ||--|{ PRODUCT : contains
PRODUCT ||--o{ ORDER-ITEM : "ordered in"
graph TB
subgraph One
a1-->a2-->a3
end
flowchart LR
Function-->URL-->A-->B-->C
click Function clickByFlow "Add a div"
click URL "https://mermaid-js.github.io/mermaid/#/" "Visit mermaid docs" _blank
gantt
dateFormat YYYY-MM-DD
axisFormat %d/%m
title Adding GANTT diagram to mermaid
excludes weekdays 2014-01-10
section A section
Completed task :done, des1, 2014-01-06,2014-01-08
Active task :active, des2, 2014-01-09, 3d
Future task : des3, after des2, 5d
Future task2 : des4, after des3, 5d
section Critical tasks
Completed task in the critical line :crit, done, 2014-01-06,24h
Implement parser and jison :crit, done, after des1, 2d
Create tests for parser :crit, active, 3d
Future task in critical line :crit, 5d
Create tests for renderer :2d
Add to mermaid :1d
section Documentation
Describe gantt syntax :active, a1, after des1, 3d
Add gantt diagram to demo page :after a1 , 20h
Add another diagram to demo page :doc1, after a1 , 48h
section Clickable
Visit mermaidjs :active, cl1, 2014-01-07,2014-01-10
Calling a Callback (look at the console log) :cl2, after cl1, 3d
Calling a Callback with args :cl3, after cl1, 3d
click cl1 href "https://mermaid-js.github.io/mermaid/#/"
click cl2 call clickByGantt()
click cl3 call clickByGantt("test1", test2, test3)
section Last section
Describe gantt syntax :after doc1, 3d
Add gantt diagram to demo page : 20h
Add another diagram to demo page : 48h
classDiagram
Class01 <|-- AveryLongClass : Cool
Class09 --> C2 : Where am i?
Class09 --* C3
Class09 --|> Class07
Class07 : equals()
Class07 : Object[] elementData
Class01 : size()
Class01 : int chimp
Class01 : int gorilla
class Class10 {
int id
size()
}
stateDiagram
[*] --> S1
state "Some long name" as S1
classDiagram
Animal "1" <|-- Duck
Animal <|-- Fish
Animal <--o Zebra
Animal : +int age
Animal : +String gender
Animal: +isMammal()
Animal: +mate()
class Duck{
+String beakColor
+swim()
+quack()
}
class Fish{
-int sizeInFeet
-canEat()
}
class Zebra{
+bool is_wild
+run()
}


Which keywords should be highlighted?
(comma-separated)
What colors should be used?
Text color
Background color
Show number of found keywords in toolbar icon.


AXA Research Fund* Joint Research Initiative
& Arthur Charpentier (PI)
Université du Québec à Montréal (UQAM)
Insurers sometimes lack information at the time of claim submission, such as the structure of a building, the presence of health risks common to a group of people, or the spatial diffusion of a pandemic. Unusual data, such as satellite images, personal network connections, and tweets can be used to populate this information gap. In this joint research initiative, we will use images, network data, and texts for risk analysis from an actuarial perspective. Specifically, the project will explore how using unusual data can contribute to smoother claims assessment and reduced data quality risk, allowing for better risk selection and pricing. The project will look at three types of unusual data: pictures/satellite images, network data, and text data.


Created by Fraunhofer
All required components are included, no separate database or web server required. Runs everywhere.
Functionality is encapsulated in apps, which are not part of the core framework. Similarly, hardware connectivity is provided by individual drivers.
Devices and data points are represented as typed nodes of the Resource graph.
OGEMA persistence is based on a flash-friendly in-memory database.
Hardware drivers available in the open source release:
Find all devices of a certain type using the Java or REST API.
@Override
public void start(final ApplicationManager appManager) {
double averageTemperature = appManager.getResourceAccess().getResources(TemperatureSensor.class).stream()
.filter(sensor -> sensor.reading().isActive())
.mapToDouble(sensor -> sensor.reading().getValue())
.average().orElse(Double.NaN);
System.out.println("The average temperature is " + averageTemperature);
}
Build interactive web sites in Java using the OGEMA widgets framework for rapid prototyping...
public class SamplePage implements LazyWidgetPage {
@Override
public void init(final ApplicationManager appMan, final WidgetPage<?> page) {
final Header header = new Header(page, "header", "A widgets sample page");
header.setDefaultColor("blue");
final Label label = new Label(page, "nrSensor") {
@Override
public void onGET(OgemaHttpRequest req) {
final int nrSensors = appMan.getResourceAccess().getResources(TemperatureSensor.class).size();
setText("There are " + nrSensors + " temperature sensors in the system.", req);
}
};
page.append(header).linebreak()
.append(label);
}
}
...or create a full-blown HTML/Javascript website that communicates with OGEMA via its REST interface or a custom Java servlet.


--- title: "2.1 — Game Theory & Property Fundamentals — Class Content" citeproc: false bibliography: ../../static/bib/references.bib csl: ../../static/bib/chicago-syllabus-no-bib.csl output: blogdown::html_page: template: ../../pandoc/toc-title_html.template toc: true editor_options: chunk_output_type: console ---
Thursday, February 16, 2021
We begin with a brief (re)introduction to static game theory to prepare to first look at property law.
Since Hood College has designated that there are no classes on Thursday February 18, we will not meet again until next Tuesday. This makes it difficult to get too deep into property and the Coase theorem today, and so I will save it all for next week. Please look at the required readings for next week on the associated class pages, and next week we will also start our required discussion board, since we will have readings.


#include <string.h>
#include <time.h>
#include "tetromino.h"
#include "tetris_action.h"
#include "map.h"
#include "common.h"
#include "spawn_bag.h"
#include "tetris_speedcurve.h"
Go to the source code of this file.
| #define LOCK_INTERRUPT_LIMIT 15 |
Creates a new tetris game.
- Returns
- The created tetris game.
- See also
- Tetris_Destroy()
| void Tetris_Destroy |
( |
Tetris * |
tetris | ) |
|
Destroys the tetris game.
- Parameters
-
| tetris | The tetris game to destroy. |
- See also
- Tetris_Create()
| void Tetris_DoAction |
( |
Tetris * |
tetris, |
|
|
const sbyte |
action |
|
) |
| |
Executes the specific action. This method will be triggered by Tetris_Update() automatically.
- Parameters
-
| tetris | The tetris game. |
| action | The action code. Following actions are available: TETRIS_ACTION_MOVE_LEFT TETRIS_ACTION_MOVE_RIGHT TETRIS_ACTION_MOVE_DOWN TETRIS_ACTION_ROTATE_LEFT TETRIS_ACTION_ROTATE_RIGHT TETRIS_ACTION_HARD_DROP TETRIS_ACTION_HOLD TETRIS_ACTION_TICK_DOWN |
| void Tetris_LockInterrupt |
( |
Tetris * |
tetris | ) |
|
Interrupts the current lock timer. Lock timer starts when a block is touching the floor and can't move down anymore. Everytime you move or rotate the block, the lock timer resets. The interruption is capped at LOCK_INTERRUPT_LIMIT. If the block won't get interrupted for LOCK_DELAY it will be solidified.
- Parameters
-
| tetris | The tetris game to interrupt. |
- See also
- Tetris_SolidifyTetromino()
| void Tetris_SolidifyTetromino |
( |
Tetris * |
tetris | ) |
|
Embeds the current tetromino in to the map.
- Parameters
-
- See also
- Map_SolidifyTetromino()
Solves any full row and rearranges the map.
- Parameters
-
- Returns
- Count of lines solved
| void Tetris_Spawn |
( |
Tetris * |
tetris, |
|
|
const sbyte |
type |
|
) |
| |
Spawns a tetromino and shadow of the given type.
- Parameters
-
| tetris | The tetris game. |
| type | The tetromino type. Following types are available: TETROMINO_TYPE_O TETROMINO_TYPE_Z TETROMINO_TYPE_S TETROMINO_TYPE_L TETROMINO_TYPE_J TETROMINO_TYPE_I TETROMINO_TYPE_T |
| void Tetris_Tick |
( |
Tetris * |
tetris | ) |
|
| void Tetris_Update |
( |
Tetris * |
tetris, |
|
|
const float |
dt |
|
) |
| |
Updates timers for locking and ticking.
- Parameters
-
| tetris | The tetris game to update. |
| dt | The delta time. |
| void Tetris_UpdateShadow |
( |
Tetris * |
tetris | ) |
|
Updates the shadow tetrominos position.
- Parameters
-
| tetris | The tetris game to update. |


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If you define properties using several different ways, you may have the same key several times. In that case, which value will be used by Ogham ?
By default (using MessagingBuilder.standard()
or MessagingBuilder.minimal()
), Ogham defines the following order (first is used if defined):
-
.systemProperties()
-
.properties("file:..")
-
.properties(new Properties())
or.properties().set(…)
-
.properties("classpath:…")
Why this order ?
Configuration outside the application should override configuration that is inside the application. This is necessary if you want to be able to deploy the same application in different environments without changing code or needing to rebuild with a different profile.
For configuration outside the application, system properties (defined either in system environment or using java command line arguments) has higher priority than a configuration file outside the application. This is useful to have a configuration file that is shared between several applications or instances and override only some values explicitly.
For configuration inside the application, code has higher priority than configuration defined in a classpath file. This is useful to define global configuration for the application using a configuration file and let the possibility to override explicitly some values in code. This is useful in tests for example.
package fr.sii.ogham.sample.standard;
import java.io.IOException;
import java.util.Properties;
import fr.sii.ogham.core.builder.MessagingBuilder;
import fr.sii.ogham.core.exception.MessagingException;
import fr.sii.ogham.core.service.MessagingService;
public class PropertiesSample {
public static void main(String[] args) throws MessagingException, IOException {
Properties props = new Properties();
props.setProperty("ogham.email.from.default-value", "hello@world.com");
MessagingService service = MessagingBuilder.standard()
.environment()
.properties(props) (1)
.properties("classpath:email.properties") (2)
.properties("file:/etc/app/email.properties") (3)
.properties()
.set("mail.smtp.port", "10") (4)
.and()
.systemProperties() (5)
.and()
.build();
service.send(/*your message here*/null);
}
}
| 1 | Use standard java.util.Properties |
| 2 | Load the file from the classpath (relative to root of the classpath) |
| 3 | Load the file from the file system |
| 4 | Directly set a property with its value in a fluent way |
| 5 | Use standard System.getProperties() |
mail.smtp.host=localhost
mail.smtp.port=25
<EMAIL_ADDRESS>mail.smtp.host=smtp.domain.com
Running this sample with the following command line:
$ java<EMAIL_ADDRESS>fr.sii.ogham.sample.standard.PropertiesSample
Gives the following property values:
| Property | Result value |
|---|---|
mail.smtp.host |
smtp.domain.com |
mail.smtp.port |
10 |
ogham.email.from.default-value |
<EMAIL_ADDRESS>|
| See the test that ensures this order. |
What happens if there are several values for the same property and for the same source ?
For example, if you use two configuration files defined in the classpath:
MessagingService service = MessagingBuilder.standard()
.environment()
.properties("classpath:common.properties")
.properties("classpath:email.properties")
.and()
.build();
mail.smtp.host=localhost
mail.smtp.port=25
mail.smtp.host=smtp.domain.com
| Property | Result value |
|---|---|
mail.smtp.host |
smtp.domain.com |
mail.smtp.port |
25 |
For the same level of priority, this is the declaration order that prevails.
How to use custom priorities ?
If you want to use a different priority order, you can explicitly register properties with a custom priority:
MessagingService service = MessagingBuilder.standard()
.environment()
.properties("classpath:common.properties", 2)
.properties("classpath:email.properties", 1)
.and()
.build();
mail.smtp.host=localhost
mail.smtp.port=25
mail.smtp.host=smtp.domain.com
| Property | Result value |
|---|---|
mail.smtp.host |
localhost |
mail.smtp.port |
25 |
You can notice that the result is now different than using default priorities.
|
Default priority values are:
|


I believe in giving back to the community.
I believe in equal educational opportunities.
I believe in giving students opportunities that will benefit them.
I believe in unapologetically pursuing your passion.


2021 Player
Player
Touch Screen
Temp
Fixed
This is an example of the Authorization Code flow
Log in with Spotify
Pop:
Queen:
Throw backs:
Country:
Rock:
Hip-Hop:
EDM:
Top Hits:


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Payments
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Click Me For A Modal
Awesome. I have it.
Your couch. It is mine.
Im a cool paragraph that lives inside of an even cooler modal. Wins
×


Jul 18, 2016 12:50 AM
General Assembly (GA) is a global educational company on a mission to empower a global community to pursue work they love. Focusing on the most relevant and in-demand skills across data, design, business and technology, GA is confronting a skills gap through best-in-class instruction and providing access to opportunities. GA works with students online and in person across 25 campuses in 6 countries. GA also works with employers to help companies source talent, assess talent and transform talent. Additionally, GA’s focus on affordable and accessible education combined with our education-to-employment approach is helping to create a diverse talent pipeline. In this EdLab Seminar, Carmen James will describe the process from start to finish for building online courses at General Assembly. Carmen James is the lead instructional designer for online courses at General Assembly, a global education-to-employment company specializing in the most in-demand skills. After completing her PhD in Philosophy and Education at Teachers College, Columbia University in May 2015, she went on to work with K12 teachers and taught at the elementary and graduate level. She has a long-standing interest in innovative teaching and learning practices. She has also served in a research and development role at Riverdale Country School, where she lead a team that implemented the IDEO human-centered design process with fellow teachers. Additionally, Carmen has worked at the EdLab, the innovation center at Teachers College, CU, and helped develop a platform for 'having meaningful discussions' online. She graduated from Harvard University with her B.A. in 2008.


wont find1
will not be found byId
find wrong one
oops
will be found
wont match the div
cant start with spaces


Model composers¶
A model composer creates new models by arraging existing model components provided by model component developers.
This is done by creating a python file in that used entity types, process taxa and model components (TODO reference) are arranged in inheriting classes.
The basic structure of this file can be examined in the _template (reference TODO).
In the following a step-by-step tutorial, based on the exemplary seven dwarfs model, is provided.
Import of model components¶
All components that are used must be imported. The base model component (reference TODO) is used in every model and its import therefore mandatory.
Besides that, additional components can be included. In case of the seven dwarfs model (TODO reference) the seven_dwarfs as well as snowwhite components are used.
# base import (always needed)
from .. import base
# additional components
from ..model_components import seven_dwarfs as sd
from ..model_components import snowwhite as sw
Arrangement of entity types and process taxa¶
In this step entity types and process taxa are arranged. This is done by basic python inheritance. Note that primary inheritors will overwrite attributes of secondary ones (TODO better formulation).
::¶
Model composers create new models by arraging existing model components provided by model component developers.
This is done by creating a python file in that used entity types, process taxa and model components are arranged.
For the exemplary seven dwarfs model the following file was created:
#
# Imports
#
from .. import base # all models must use the base component
from ..model_components import seven_dwarfs as sd
The model class¶
This arrangement puts all model classes together. (TODO)


Nearly 500 CCD outlets shut down across India since April: Report
Those outlets across different regions which have not been profitable are being shut down, a move aimed at containing the business' falling profitability.
Nearly 500 Cafe Coffee Day (CCD) outlets across India have been shut down since April this year to counter falling profits and as part of the company's divestment process, CNBC-TV18 reported quoting sources.
The number of outlets of the coffee chain is said to have fallen from around 1,750 in Q4FY19 and 1,480 in Q1FY20 to about 1,200 to 1,300 now.
The outlets across different regions are being shut down to contain falling profitability at Coffee Day Global that houses Coffee Day Enterprises' coffee business.
Nearly 280 of these outlets were shuttered by Cafe Coffee Day in Q2FY20 alone, sources added.
In a BSE filing on November 13, Coffee Day Enterprises, the parent company of the CCD chain, announced a delay in the release of its second-quarter results. This, the company said, was due to the ongoing investigation into the books of the company and its subsidiaries.
The company had also delayed its first-quarter results earlier in August, following the demise of founder and coffee baron VG Siddhartha.
As per a regulatory filing on August 17, the company's debt at that point stood at around Rs 4,970 crore.Get access to India's fastest growing financial subscriptions service Moneycontrol Pro for as little as Rs 599 for first year. Use the code "GETPRO". Moneycontrol Pro offers you all the information you need for wealth creation including actionable investment ideas, independent research and insights & analysis For more information, check out the Moneycontrol website or mobile app.


GITHUB PROJECTS FOR BEGINNERS
So, You want to do programming project (nice). and still, can’t able to decide what to do. you don’t know how to start then, check below my list. hahaha! it’s completely free. so, just take a look and decide what you can do.
Types Of Project.
- Simple Programs
- Some GUI Applications
- Some Basic Cracking Scripts
- Some Web Scraping Scripts
- Some Networking Scripts
- Some Raw Socket Programming Scripts
- Network Packet Handling Script With Raw Socket Programming
- Some Wireless Related Scripts (Using Scapy and Raw)
- Game (Using Python And Tkinter)
- Some Automation Projects
- Database Related Projects
- Much More
What You Can Do?
- Add Functions
- Cross Platform Support.
- More Stable And Easy To Use.
- Try To Make It More Perfect.
- Understand Script Functionality And Create Documentation.
- Share Your Ideas With Other Team Members.
- Much Much More.
How To Start?
Want to Contribute? Great!
There Are 2 Methods.
-
Pull Request ( Github Account Required ).
-
Through Email.
1. Pull Request ( Github A/c Required ).
-
Fork it!
-
Create your feature branch:
git checkout -b my-new-feature
-
Commit your changes:
git commit -am 'Add some feature'
-
Push to the branch:
git push origin my-new-feature
-
Submit a pull request :D
2. Through Email.
- Send Your Updated/New Script On My Email.
-<EMAIL_ADDRESS>Projects List And Few Lines Description
- Age calculator
Simple Age Calculator App
- Alarm clock
Simple Alarm Clock App
- Analogclock
Simple Analog Clock App
- Basic c programs
Some Basic C/C++ Scripts
- Bouncingballgamewithmouse
Bouncing Ball Game With Mouse Pointer Interface Support
- Currency converter
Simple Currency Converter
- Digitalclock
Simple Digital Clock App
- Email harvester
Website Scrapper To Extract All Emails Available In Webpage.
- Fbsr
Facebook Scrapping Scripts
A simple Python Script That Can Login In Your Facebook Account To Perform Various Tasks.
- Gameofchess
Game Of Chess
- Hash encrypter
Simple Hash Encrypting App
This Script Provides a Simple Interface To Calculate Hash Values Of Any Data.
- Information gathering python web scraping scripts
Some Information Gathering Scripts Based On Web Scrapping Concepts
- Crawler : A Website Crawling Script
- Daily_Mail Headling Extractor
- File Downloader Script
- Google Result Page Scraping Script
- Html Link Extracting Script
- Image Downloading Script
- Live Score Scraping Script
- Bandwidth Speed Testing script
- Automatic Desktop Wallpaper Updating Script
- Ludogame
Simple Ludo Game
- Magicstick editor
A Nice Text Editor App With Various High Quality Features
- Password gen
Simple Password Generating Script
- Py bouncingballgame
Bouncing Ball Game
- Py editor
Simple Text Editor
- Py fightingplangame
Fighter Plane Game
- Py filecipher
Simple File Encrypter And Decrypter Script Using AES-256 Bit Encryption
- Py http header sniffer
Simple HTTP Header Sniffer App
- Py image viewer
Image Viewer App
- Py packet
Python Script For Packet Sniffing (pypacket)
Features
- No External Dependencies
- Using Custom Cython Script For Extracting Header
- Supported Header: TCP/IP, IPv4 ,UDP, ICMP
- Fast Header Extraction
- Py pinger
Python Ping Sweeping Script
- Py portscanner
Python Port Scanning Script
Featues:
- High Speed Port scanning Through Threadings.
- Stable Version with Some Extra Features
- Multithreading Used for high performance
- This port scanner has the capability to take host
- Py rarcrack
Python Rar File Cracker
- Py screensaver
Python ScreenSaver
- Py virtualkeyboard
Python Virtual Keyboard App
- Py wordlist generator
Simple Wordlist Generating Scripts
- Py zipcrack
Python Zip File Cracking Script
- Pye
Collection of Python Classes For working with Network protocol Ethernet/TCP/IP/UDP/ICMP Etc Etc.
- Pyhashcrack
Python Hash Cracking Scripts
- Python admin page finder
Python Admin Page Brute Force Script
- Python media player
A Rich Feature Python Media Player
- Python tkinter screensavers
Python Tkinter Screen Saver
- Python web crawler
Various Web Crawling Script Written In Python
- Py banner grabber
Python Banner Grabbing Script
- Secure key base
Password manager App
- Snakegame
Snake Game
- Sqlorm
SQL-ORM Is a Python Object Relational Mapper for SQLite3. With These Script, We Can Use Python SQLite API Very Easly.
- Web apps
Some Web Apps
- Tic toc toi game
Tic Toc Toi Game
- Visualexample
Some Visual Related Projects
- Way2sms
Way2Sms Sms Sending Script
- Weather
Python Script For Showing Weather Information With GUI Automatically
- Wireless scripts
Collection Of Wireless Testing Related Scripts
- WLAN SSID Sniffer Using Python And Socket (ap_socket.py)
- WLAN Access Point And Client Sniffer Using Python and Scapy (captureclients.py)
- WLAN Dos Detector Using Python and Scapy (deauthentication_detector.py)
- WLAN SSID Sniffer Using Python And Scapy (getwifiinfo.py)
- WLAN Dos Attacker Using Python And Scapy - Wifi Jammer (wifijammer.py)
- WLAN Live Beacon Packet Analyser Using Python And PyShark (LiveBeacon.py)
- WLAN Wireless Deauth Packet Creater and Sender Using python And Scapy (Wirelessdeauth.py)