Code Style and Quality Guide — Components Guide #
Preamble #
Pull Requests & Changes #
Common Coding Guide #
Java Language Guide #
Scala Language Guide #
Components Guide #
Formatting Guide #
Component Specific Guidelines #
Additional guidelines about changes in specific components.
Configuration Changes #
Where should the config option go?
-
‘flink-conf.yaml’: All configuration that pertains to execution behavior that one may want to standardize across jobs. Think of it as parameters someone would set wearing an “ops” hat, or someone that provides a stream processing platform to other teams.
-
‘ExecutionConfig’: Parameters specific to an individual Flink application, needed by the operators during execution. Typical examples are watermark interval, serializer parameters, object reuse.
-
ExecutionEnvironment (in code): Everything that is specific to an individual Flink application and is only needed to build program / dataflow, not needed inside the operators during execution.
How to name config keys:
-
Config key names should be hierarchical. Think of the configuration as nested objects (JSON style)
taskmanager: { jvm-exit-on-oom: true, network: { detailed-metrics: false, request-backoff: { initial: 100, max: 10000 }, memory: { fraction: 0.1, min: 64MB, max: 1GB, buffers-per-channel: 2, floating-buffers-per-gate: 16 } } }
-
The resulting config keys should hence be:
NOT
"taskmanager.detailed.network.metrics"
But rather
"taskmanager.network.detailed-metrics"
Connectors #
Connectors are historically hard to implement and need to deal with many aspects of threading, concurrency, and checkpointing.
As part of FLIP-27 we are working on making this much simpler for sources. New sources should not have to deal with any aspect of concurrency/threading and checkpointing any more.
A similar FLIP can be expected for sinks in the near future.
Examples #
Examples should be self-contained and not require systems other than Flink to run. Except for examples that show how to use specific connectors, like the Kafka connector. Sources/sinks that are ok to use are StreamExecutionEnvironment.socketTextStream
, which should not be used in production but is quite handy for exploring how things work, and file-based sources/sinks. (For streaming, there is the continuous file source)
Examples should also not be pure toy-examples but strike a balance between real-world code and purely abstract examples. The WordCount example is quite long in the tooth by now but it’s a good showcase of simple code that highlights functionality and can do useful things.
Examples should also be heavy in comments. They should describe the general idea of the example in the class-level Javadoc and describe what is happening and what functionality is used throughout the code. The expected input data and output data should also be described.
Examples should include parameter parsing, so that you can run an example (from the Jar that is created for each example using bin/flink run path/to/myExample.jar --param1 … --param2
.
Table & SQL API #
Semantics #
The SQL standard should be the main source of truth.
- Syntax, semantics, and features should be aligned with SQL!
- We don’t need to reinvent the wheel. Most problems have already been discussed industry-wide and written down in the SQL standard.
- We rely on the newest standard (SQL:2016 or ISO/IEC 9075:2016 when writing this document (download). Not every part is available online but a quick web search might help here.
Discuss divergence from the standard or vendor-specific interpretations.
- Once a syntax or behavior is defined it cannot be undone easily.
- Contributions that need to extent or interpret the standard need a thorough discussion with the community.
- Please help committers by performing some initial research about how other vendors such as Postgres, Microsoft SQL Server, Oracle, Hive, Calcite, Beam are handling such cases.
Consider the Table API as a bridge between the SQL and Java/Scala programming world.
- The Table API is an Embedded Domain Specific Language for analytical programs following the relational model. It is not required to strictly follow the SQL standard in regards of syntax and names, but can be closer to the way a programming language would do/name functions and features, if that helps make it feel more intuitive.
- The Table API might have some non-SQL features (e.g. map(), flatMap(), etc.) but should nevertheless “feel like SQL”. Functions and operations should have equal semantics and naming if possible.
Common mistakes #
- Support SQL’s type system when adding a feature.
- A SQL function, connector, or format should natively support most SQL types from the very beginning.
- Unsupported types lead to confusion, limit the usability, and create overhead by touching the same code paths multiple times.
- For example, when adding a
SHIFT_LEFT
function, make sure that the contribution is general enough not only forINT
but alsoBIGINT
orTINYINT
.
Testing #
Test for nullability.
- SQL natively supports
NULL
for almost every operation and has a 3-valued boolean logic. - Make sure to test every feature for nullability as well.
Avoid full integration tests
- Spawning a Flink mini-cluster and performing compilation of generated code for a SQL query is expensive.
- Avoid integration tests for planner tests or variations of API calls.
- Instead, use unit tests that validate the optimized plan which comes out of a planner. Or test the behavior of a runtime operator directly.
Compatibility #
Don’t introduce physical plan changes in patch releases!
- Backwards compatibility for state in streaming SQL relies on the fact that the physical execution plan remains stable. Otherwise the generated Operator Names/IDs change and state cannot be matched and restored.
- Every bug fix that leads to changes in the optimized physical plan of a streaming pipeline hences breaks compatibility.
- As a consequence, changes of the kind that lead to different optimizer plans can only be merged in major releases for now.
Scala / Java interoperability (legacy code parts) #
Keep Java in mind when designing interfaces.
- Consider whether a class will need to interact with a Java class in the future.
- Use Java collections and Java Optional in interfaces for a smooth integration with Java code.
- Don’t use features of case classes such as .copy() or apply() for construction if a class is subjected to be converted to Java.
- Pure Scala user-facing APIs should use pure Scala collections/iterables/etc. for natural and idiomatic (“scalaesk”) integration with Scala.


Gizo is the second largest city in the Solomons, but it is much smaller than Honiara. Motor traffic is so light that most drivers use the middle of the road! It is on the southern tip of the island of the same name and lies south of the island of Vella Lavella.
The Gizo area, including the many small islands southeast of the island of Ghizo, is laced with reefs. The waters have red and green navigation markers and occasionally various posts and sticks. However, a few markers are no longer in place.
Not all charts are accurate and the use of satellite images to help with navigation is recommended.
Location: 08° 06' S, 156° 50' 34"E.
For full details on clearing into and out of these Islands see Solomon Islands Formalities.
Gizo has Customs, Agriculture and Health and Immigration officers (supposedly) working seven days a week.
Customs will not check you out unless Immigration has also done so.
Latest reports from cruisers in the area is that Noro (New Georgia) is now the preferred port of entry into the Western Province of the Solomons, as Gizo has been experiencing reports of theft, and the Immigration officer is extremely unco-operative and rarely available.
Last updated July 2016.
The anchorage at Gizo is exposed to the East and Southeast but the holding is generally good. The waterfront bars are open until the early hours and play loud music, so you may wish to anchor in one of the bays further north if you like to sleep. Fatboys and Sanbis resorts welcome yachts.
The best anchorage is near the local market where there is a jetty to which you can tie your dinghy (Approx. position: 08 06.19S 156 50.64E). From here you are highly visible. Cruisers recommend not anchoring outside the PT109 restaurant as there have been recent thefts here.
The nearby island of Liapari (14 miles away) has a secure anchorage where the yacht can be left. Liapari Ltd., a boatyard/docking facility run by Noel and Rose Hudson, offers security and a number of services, improving all the time.
Last updated May 2016.


vignettes/online-GREAT.Rmd
online-GREAT.Rmd
Note: On Aug 19 2019 GREAT released version 4 which supports hg38
genome and removes some ontologies such pathways. submitGreatJob()
still takes hg19
as default. hg38
can be specified by argument species = "hg38"
. To use the older versions such as 3.0.0, specify as submitGreatJob(..., version = "3")
.
GREAT (Genomic Regions Enrichment of Annotations Tool) is a popular web-based tool to associate biological functions to genomic regions. The rGREAT package makes GREAT anlaysis automatic by first constructing a HTTP POST request according to user’s input and retrieving results from GREAT web server afterwards.
Load the package:
The input data is either a GRanges
object or a BED-format data frame, no matter it is sorted or not. In following example, we use a GRanges
object which is randomly generated.
set.seed(123)
gr = randomRegions(nr = 1000, genome = "hg19")
head(gr)
## GRanges object with 6 ranges and 0 metadata columns:
## seqnames ranges strand
## <Rle> <IRanges> <Rle>
## [1] chr1 9204434-9208784 *
## [2] chr1 9853594-9859363 *
## [3] chr1 10862809-10871681 *
## [4] chr1 12716970-12723206 *
## [5] chr1 13814692-13823250 *
## [6] chr1 19243285-19247097 *
## -------
## seqinfo: 26 sequences from an unspecified genome; no seqlengths
Submit genomic regions by submitGreatJob()
.
The returned variable job
is a GreatJob
class instance which can be used to retrieve results from GREAT server and store results which are already downloaded.
job = submitGreatJob(gr)
You can get the summary of your job by directly printing job
.
job
## Submit time: 2023-04-01 09:44:07
## Note the results may only be avaiable on GREAT server for 24 hours.
## Version: 4.0.4
## Species: hg19
## Inputs: 1000 regions
## Mode: Basal plus extension
## Proximal: 5 kb upstream, 1 kb downstream,
## plus Distal: up to 1000 kb
## Include curated regulatory domains
##
## Enrichment tables for following ontologies have been downloaded:
## GO Biological Process
## GO Cellular Component
## GO Molecular Function
More parameters can be set for the job:
job = submitGreatJob(gr, species = "mm9") # of course, gr should be from mm9
job = submitGreatJob(gr, adv_upstream = 10, adv_downstream = 2, adv_span = 2000)
job = submitGreatJob(gr, rule = "twoClosest", adv_twoDistance = 2000)
job = submitGreatJob(gr, rule = "oneClosest", adv_oneDistance = 2000)
Also you can choose different versions of GREAT for the analysis.
job = submitGreatJob(gr, version = "3.0")
job = submitGreatJob(gr, version = "2.0")
Note: from rGREAT package 1.99.0, background by bg
argument is not supported any more (currently you can still use it, but you will see a warning message), because GREAT requires a special format for gr
and bg
if both are set, and it uses a different method for the enrichment analysis and returns enrichment tables in a different format. But still, you can use local GREAT to integrate background regions. Seel the rGREAT paper for more details.
Available parameters are (following content is copied from GREAT website):
species
: “hg38”, “hg19”, “mm10”, “mm9” are supported in GREAT version 4.x.x, “hg19”, “mm10”, “mm9”, “danRer7” are supported in GREAT version 3.x.x and “hg19”, “hg18”, “mm9”, “danRer7” are supported in GREAT version 2.x.x.includeCuratedRegDoms
: Whether to include curated regulatory domains.rule
: How to associate genomic regions to genes.
basalPlusExt
: mode ‘Basal plus extension’. Gene regulatory domain definition: Each gene is assigned a basal regulatory domain of a minimum distance upstream and downstream of the TSS (regardless of other nearby genes). The gene regulatory domain is extended in both directions to the nearest gene’s basal domain but no more than the maximum extension in one direction.
adv_upstream
: proximal extension to upstream (unit: kb)adv_downstream
: proximal extension to downstream (unit: kb)adv_span
: maximum extension (unit: kb)twoClosest
: mode ‘Two nearest genes’. Gene regulatory domain definition: Each gene is assigned a regulatory domain that extends in both directions to the nearest gene’s TSS but no more than the maximum extension in one direction.
adv_twoDistance
: maximum extension (unit: kb)oneClosest
: mode ‘Single nearest gene’. Gene regulatory domain definition: Each gene is assigned a regulatory domain that extends in both directions to the midpoint between the gene’s TSS and the nearest gene’s TSS but no more than the maximum extension in one direction.
adv_oneDistance
: maximum extension (unit: kb)GREAT uses the UCSC bed-format where genomic coordinates are 0-based. Many R packages generate genomic regions as 1-based. Thus by default, the start positions of regions are subtracted by 1. If your regions are already 0-based, you can specify gr_is_zero_based = TRUE
in submitGreatJob()
. Anyway in most cases, this will only slightly affect the enrichment results.
With job
, we can now retrieve results from GREAT. The first and the primary results are the tables which contain enrichment statistics for the analysis. By default it will retrieve results from three GO Ontologies. All tables contains statistics for all terms no matter they are significant or not. Users can then make filtering with self-defined cutoff.
There is a column for adjusted p-values by “BH” method. Other p-value adjustment methods can be applied by p.adjust()
.
The returned value of getEnrichmentTables()
is a list of data frames in which each one corresponds to the table for a single ontology. The structure of data frames are same as the tables on GREAT website.
tbl = getEnrichmentTables(job)
## The default enrichment table does not contain informatin of associated
## genes for each input region. You can set `download_by = 'tsv'` to
## download the complete table, but note only the top 500 regions can be
## retreived. See the following link:
##
## https://great-help.atlassian.net/wiki/spaces/GREAT/pages/655401/Export#Export-GlobalExport
##
## Except the additional gene-region association column if taking 'tsv' as
## the source of result, all other columns are the same if you choose
## 'json' (the default) as the source. Or you can try the local GREAT
## analysis with the function `great()`.
names(tbl)
## [1] "GO Molecular Function" "GO Biological Process" "GO Cellular Component"
tbl[[1]][1:2, ]
## ID name
## 1 GO:0070696 transmembrane receptor protein serine/threonine kinase binding
## 2 GO:0033612 receptor serine/threonine kinase binding
## Binom_Genome_Fraction Binom_Expected Binom_Observed_Region_Hits
## 1 0.003455733 3.455733 11
## 2 0.003596413 3.596413 11
## Binom_Fold_Enrichment Binom_Region_Set_Coverage Binom_Raw_PValue
## 1 3.183116 0.011 0.0008981541
## 2 3.058603 0.011 0.0012301660
## Binom_Adjp_BH Hyper_Total_Genes Hyper_Expected Hyper_Observed_Gene_Hits
## 1 1 13 0.9938002 5
## 2 1 15 1.1466930 5
## Hyper_Fold_Enrichment Hyper_Gene_Set_Coverage Hyper_Term_Gene_Coverage
## 1 5.031192 0.003526093 0.3846154
## 2 4.360367 0.003526093 0.3333333
## Hyper_Raw_PValue Hyper_Adjp_BH
## 1 0.001982437 0.4919942
## 2 0.004066220 0.6862153
Information stored in job
will be updated after retrieving enrichment tables.
job
## Submit time: 2023-04-01 09:44:07
## Note the results may only be avaiable on GREAT server for 24 hours.
## Version: 4.0.4
## Species: hg19
## Inputs: 1000 regions
## Mode: Basal plus extension
## Proximal: 5 kb upstream, 1 kb downstream,
## plus Distal: up to 1000 kb
## Include curated regulatory domains
##
## Enrichment tables for following ontologies have been downloaded:
## GO Biological Process
## GO Cellular Component
## GO Molecular Function
You can get results by either specifying the ontologies or by the pre-defined categories (categories already contains pre-defined sets of ontologies):
tbl = getEnrichmentTables(job, ontology = c("GO Molecular Function", "Human Phenotype"))
tbl = getEnrichmentTables(job, category = c("GO"))
As you have seen in the previous messages and results, The enrichment tables contain no associated genes. However, you can set download_by = 'tsv'
in getEnrichmentTables()
to download the complete tables, but due to the restriction from GREAT web server, only the top 500 regions can be retreived (check the last two columns of tbl2[["GO Molecular Function"]]
in the following example).
tbl2 = getEnrichmentTables(job, download_by = "tsv")
All available ontology names for a given species can be get by availableOntologies()
and all available ontology categories can be get by availableCategories()
. Here you do not need to provide species information because job
already contains it.
availableOntologies(job)
## [1] "GO Molecular Function" "GO Biological Process"
## [3] "GO Cellular Component" "Mouse Phenotype"
## [5] "Mouse Phenotype Single KO" "Human Phenotype"
## [7] "Ensembl Genes"
availableCategories(job)
## [1] "GO" "Phenotype" "Genes"
availableOntologies(job, category = "GO")
## [1] "GO Molecular Function" "GO Biological Process" "GO Cellular Component"
In differential gene expression analysis, volcano plot is used to visualize relations between log2 fold change and (adjusted) p-values. Similarly, we can also use volcano plot to visualize relations between fold enrichment and (adjusted) p-values for the enrichment analysis. The plot is made by the function plotVolcano()
:
plotVolcano(job, ontology = "GO Biological Process")
As the enrichment analysis basically only looks for over-representations, it is actually half volcano.
Association between genomic regions and genes can be plotted by plotRegionGeneAssociations()
. The function will make the three plots which are same as on GREAT website.
getRegionGeneAssociations()
returns a GRanges
object which contains the gene-region associations. Note the column dist_to_TSS
is based on the middle points of the input regions to TSS.
## GRanges object with 885 ranges and 2 metadata columns:
## seqnames ranges strand | annotated_genes dist_to_TSS
## <Rle> <IRanges> <Rle> | <CharacterList> <IntegerList>
## [1] chr1 9204434-9208784 * | H6PD,GPR157 -88225,-17380
## [2] chr1 9853594-9859363 * | CLSTN1,PIK3CD 28106,144675
## [3] chr1 10862809-10871681 * | TARDBP,CASZ1 -205454,-10540
## [4] chr1 12716970-12723206 * | AADACL3,AADACL4 -56058,15522
## [5] chr1 13814692-13823250 * | LRRC38,PRAMEF20 21572,82064
## ... ... ... ... . ... ...
## [881] chrY 16384799-16389852 * | NLGN4Y,VCY1B -248301,219228
## [882] chrY 16842593-16846893 * | NLGN4Y 209117
## [883] chrY 16998750-17003225 * | NLGN4Y 365361
## [884] chrY 24401612-24406252 * | RBMY1J,RBMY1F -145685,-74837
## [885] chrY 26206997-26215445 * | BPY2B,CDY1B -552930,-17105
## -------
## seqinfo: 24 sequences from an unspecified genome; no seqlengths
Please note the two meta columns are in formats of CharacterList
and IntegerList
because a region may associate to multiple genes.
You can also choose only plotting one of the three figures.
plotRegionGeneAssociations(job, which_plot = 1)
By specifying ontology and term ID, you can get the associations in a certain term. Here the term ID is from the first column of the data frame from getEnrichmentTables()
.
plotRegionGeneAssociations(job, ontology = "GO Molecular Function",
term_id = "GO:0004984")
getRegionGeneAssociations(job, ontology = "GO Molecular Function",
term_id = "GO:0004984")
## GRanges object with 12 ranges and 2 metadata columns:
## seqnames ranges strand | annotated_genes dist_to_TSS
## <Rle> <IRanges> <Rle> | <CharacterList> <IntegerList>
## [1] chr1 247871555-247874068 * | OR13G1,OR6F1 -36446,3294
## [2] chr5 180577320-180586838 * | OR2V2 136
## [3] chr11 4669904-4675668 * | OR51E1,OR51E2 8136,46286
## [4] chr11 50163533-50171101 * | OR4C12 -163246
## [5] chr11 51961271-51969107 * | OR4C46 449907
## ... ... ... ... . ... ...
## [8] chr12 48643533-48645814 * | OR10AD1 -47503
## [9] chr14 18596966-18604599 * | OR11H12 -776740
## [10] chr14 20760309-20769811 * | OR11H4 54162
## [11] chr14 22807516-22814493 * | OR4E2 677707
## [12] chr22 16218127-16222924 * | OR11H1 229280
## -------
## seqinfo: 6 sequences from an unspecified genome; no seqlengths
shinyReport()
creates a Shiny application to view the complete results:
shinyReport(job)
## R version 4.2.0 (2022-04-22)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS Big Sur/Monterey 10.16
##
## Matrix products: default
## BLAS: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
##
## locale:
## [1] C/UTF-8/C/C/C/C
##
## attached base packages:
## [1] stats4 stats graphics grDevices utils datasets methods
## [8] base
##
## other attached packages:
## [1] rGREAT_2.1.8 GenomicRanges_1.50.2 GenomeInfoDb_1.34.9
## [4] IRanges_2.32.0 S4Vectors_0.36.1 BiocGenerics_0.44.0
## [7] knitr_1.42
##
## loaded via a namespace (and not attached):
## [1] bitops_1.0-7
## [2] matrixStats_0.63.0
## [3] fs_1.6.1
## [4] bit64_4.0.5
## [5] doParallel_1.0.17
## [6] RColorBrewer_1.1-3
## [7] filelock_1.0.2
## [8] progress_1.2.2
## [9] httr_1.4.4
## [10] rprojroot_2.0.3
## [11] tools_4.2.0
## [12] bslib_0.4.2
## [13] utf8_1.2.3
## [14] R6_2.5.1
## [15] DT_0.27
## [16] colorspace_2.1-0
## [17] DBI_1.1.3
## [18] GetoptLong_1.1.0
## [19] tidyselect_1.2.0
## [20] prettyunits_1.1.1
## [21] bit_4.0.5
## [22] curl_5.0.0
## [23] compiler_4.2.0
## [24] textshaping_0.3.6
## [25] cli_3.6.0
## [26] Biobase_2.58.0
## [27] xml2_1.3.3
## [28] desc_1.4.2
## [29] DelayedArray_0.24.0
## [30] rtracklayer_1.58.0
## [31] sass_0.4.5
## [32] rappdirs_0.3.3
## [33] pkgdown_2.0.7
## [34] systemfonts_1.0.4
## [35] stringr_1.5.0
## [36] digest_0.6.31
## [37] Rsamtools_2.14.0
## [38] rmarkdown_2.20
## [39] XVector_0.38.0
## [40] pkgconfig_2.0.3
## [41] htmltools_0.5.4
## [42] MatrixGenerics_1.10.0
## [43] highr_0.10
## [44] dbplyr_2.3.0
## [45] fastmap_1.1.0
## [46] GlobalOptions_0.1.2
## [47] htmlwidgets_1.6.1
## [48] rlang_1.0.6
## [49] RSQLite_2.2.20
## [50] shiny_1.7.4
## [51] shape_1.4.6
## [52] TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2
## [53] jquerylib_0.1.4
## [54] BiocIO_1.8.0
## [55] generics_0.1.3
## [56] jsonlite_1.8.4
## [57] BiocParallel_1.32.5
## [58] dplyr_1.1.0
## [59] RCurl_1.98-1.10
## [60] magrittr_2.0.3
## [61] GO.db_3.16.0
## [62] GenomeInfoDbData_1.2.9
## [63] Matrix_1.5-3
## [64] Rcpp_1.0.10
## [65] fansi_1.0.4
## [66] lifecycle_1.0.3
## [67] stringi_1.7.12
## [68] yaml_2.3.7
## [69] SummarizedExperiment_1.28.0
## [70] zlibbioc_1.44.0
## [71] org.Hs.eg.db_3.16.0
## [72] BiocFileCache_2.6.0
## [73] grid_4.2.0
## [74] blob_1.2.3
## [75] promises_<IP_ADDRESS>
## [76] parallel_4.2.0
## [77] crayon_1.5.2
## [78] lattice_0.20-45
## [79] Biostrings_2.66.0
## [80] GenomicFeatures_1.50.4
## [81] circlize_0.4.16
## [82] hms_1.1.2
## [83] KEGGREST_1.38.0
## [84] pillar_1.8.1
## [85] rjson_0.2.21
## [86] codetools_0.2-19
## [87] biomaRt_2.54.0
## [88] XML_3.99-0.13
## [89] glue_1.6.2
## [90] evaluate_0.20
## [91] httpuv_1.6.8
## [92] foreach_1.5.2
## [93] png_0.1-8
## [94] vctrs_0.5.2
## [95] purrr_1.0.1
## [96] assertthat_0.2.1
## [97] cachem_1.0.6
## [98] xfun_0.37
## [99] mime_0.12
## [100] xtable_1.8-4
## [101] restfulr_0.0.15
## [102] later_1.3.0
## [103] ragg_1.2.5
## [104] TxDb.Hsapiens.UCSC.hg38.knownGene_3.16.0
## [105] tibble_3.1.8
## [106] iterators_1.0.14
## [107] GenomicAlignments_1.34.0
## [108] AnnotationDbi_1.60.0
## [109] memoise_2.0.1
## [110] ellipsis_0.3.2


Search Grader by Algolia: How does your search engine perform?
18 Jan 2014Search is important
An effective search engine should be a seamless and natural extension of the user experience. With improved relevance, your users should be able to find what they are looking for in no time.
Unfortunately, developers often consider search as a second-tier priority. This is a mistake. Every day, consumers use Google, Amazon, and Youtube to find what they want on the web quickly and easily. Users of web applications and eCommerce websites will feel the gap in search experience. As their expectations are not met, your conversion rate will plummet, your bounce rate will skyrocket, and the damage to your brand may be irredeemable.
Search is tricky
The reason why many web applications and e-commerce websites suffer from bad search is because finding a good solution is not easy. Few current search technologies combine relevancy and business metrics in a way that sorts search results optimally.
In most cases, they fail on the following items:
- long response times,
- no handling of mistakes,
- no search field auto-completion,
- unexplainable or even nonexistent results.
To improve your search experience, you first need to understand which areas are problematic. That's exactly why we built Search Grader by Algolia.
Introducing Search Grader by Algolia
Search Grader by Algolia is a tool to help you quickly find out what your search engine may be missing. We divided the search user experience in 3 categories in order to get a maximum score of 100:
- User Experience: 30 points
- Speed: 20 points
- Relevance: 50 points
User Experience: 30/100
User experience is not just design, it's the key of a good user satisfaction. If your users cannot find what they're searching for, they will just leave.
- Searchbox visibility (3 pts): It is easier for your users to find something if your search bar is clearly visible!
- Descriptive placeholder (2 pts) : A hint in your search bar is a good way to let your users know what kind of data they can dig into.
- Searchbox auto-completion (6 pts): Auto-completion guides your users more efficiently towards what they are looking for.
- Suggestions after the first keystroke (5 pts): Delight your users by providing relevant suggestions immediately after the first keystroke.
- Faceting (4 pts): Faceting enables users to browse results by filtering them on specific categories (e.g., author, tags, price).
- Highlight (6 pts): You need to explain why the displayed results are chosen, especially when you tolerate typos or misspelled queries.
- Pagination (2 pts): Providing relevant results on the first page is great. But to keep your users engaged, you need to give them an easy way to access other results.
- Picture (2 pts): Sometime images are the fastest way to display information. Users will go through results and find the right hits much faster if you show them images.
Speed: 20/100
If results show up in more than 200ms, you will lose part of your users. Time is money, real-time is gold. Because your location is important to the speed of the search we graded speed 3 times based on the location of the user:
- Response time from US East coast
- Response time from US West coast
- Response time from Europe
Relevance: 50/100
Relevance is when you give your users what they want in the top results. Although it's not very fancy, it's probably the more critical aspect of a good search engine.
- Typo-tolerance (10 pts): People make a lot of typos, especially on mobile devices. Tolerating misspelled queries provides a great value to both your users and the products you promote.
- Auto-completion shows results, not queries (10 pts): Suggesting queries is good. Suggesting results directly is a lot better as you spare your users one click and a lot of time.
- Ranking uses business metrics (10 pts): Considering customized criteria such as sales numbers or the popularities in the way you rank results makes a key difference. It is THE way to give relevant results with one single keystroke.
- Overall ranking (20 pts): Search must always return relevant results. We perform multiple queries to detect if your search is performing well.
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# (C) 2019 Baris Ozmen<EMAIL_ADDRESS>"""Module consists decorators for helping other functions of the project
Decorators are arranged into following categories:
1. Decorator decorators:
Those augment capabilites of other decorators
Medics
2. Reporters:
Those print or log information about functions
3. Middlemen:
Those manipulate information entering to (arguments) and/or
exiting from (returns) functions.
4. Watchmen:
Those check information entering to and exiting from functions.
If they see an argument and/or return not obeying to rules,
throw exception.
5. Classy-men:
They decorate classes fashionably
"""
from functools import wraps
import numpy as np
import pandas as pd
from importlib import reload
###########################################################
# Decorator decorators
###########################################################
[docs]def decorator_with_argumets(decorator):
"""Decorator of decorator allows the decorator it decorates to accept arbitrary
number of arguments.
It also allows the decorator to be used without arguments. Possible ways
of calling the (decorated) decorator are:
1. @decorator()
2. @decorator(<args>)
However, (decorated) decorator cannot be called without parantheses (e.g. @decorator)
"""
def decorator_maker(*args, **kwargs):
@wraps(decorator)
def decorator_wrapper(func):
return decorator(func, *args, **kwargs)
return decorator_wrapper
return decorator_maker
###########################################################
# Reporters
###########################################################
[docs]class Reporter:
"""Reporter class keeps decorators gives information about functions without intervening to them.
They are designed to be used safely with functions without worrying about if they will
affect the inner working of a function. They don't touch to functions, only reports.
"""
[docs] @staticmethod
@decorator_with_argumets
def logger(func, logfile_dir=None):
"""Decorator logs the arguments and kwargs of the function it decorates.
It logs to the file whose path is given by `logfile_dir` argument. If it is not given,
it creates a new file named `<function-name>.log` in the working directory.
"""
import logging
reload(logging) # ensures it works with Jupyter IPython
# see https://stackoverflow.com/questions/18786912/
if logfile_dir is not None:
import os
logging.basicConfig(
filename=os.path.join(logfile_dir, "{}.log".format(func.__name__)),
level=logging.INFO,
)
else:
logging.basicConfig(
filename="{}.log".format(func.__name__), level=logging.INFO
)
@wraps(func)
def wrapper(*args, **kwargs):
logging.info(
"{} ran with args: {}, and kwargs: {}".format(
func.__name__, args, kwargs
)
)
return func(*args, **kwargs)
return wrapper
[docs] @staticmethod
def timer(func):
"""Decorator prints running time of the function it decorates.
"""
import time
@wraps(func)
def wrapper(*args, **kwargs):
t1 = time.time()
result = func(*args, **kwargs)
t2 = time.time()
print(
"{}()'s runtime: {} sec.".format(func.__name__, np.round((t2 - t1), 4))
)
return result
return wrapper
[docs] @staticmethod
def matrix_gossiper(func):
"""Gossips about the input matrices of the function it decorates.
"""
@wraps(func)
def wrapper(*args, **kwargs):
print(
"{}()'s is inputted matrices with shapes: {}, {}".format(
func.__name__, args[0].shape, args[1].shape
)
)
return func(*args, **kwargs)
return wrapper
[docs] @staticmethod
def counter(func):
"""Decorator counts and logs number of times the function it decorates has been called.
"""
@wraps(func)
def wrapper(*args, **kwargs):
wrapper.count = wrapper.count + 1
result = func(*args, **kwargs)
print("{}() call counter: {}".format(func.__name__, wrapper.count))
return result
wrapper.count = 0
return wrapper
###########################################################
# Middlemen
###########################################################
[docs]def multi_element_argument(func):
"""Decorator allows the function it decorates to work with multiple element first argument.
If the first argument is a multi element type (such as list, tuple, set, or
np.array), decorated function works multiple times for each, and its returnings
are finally returned as a list.
If the first argument is a single element type, decorated function works as usual.
"""
@wraps(func)
def wrapper(*args, **kwargs):
ex = [1, 2, 3]
multi_element_types = [list, tuple, set, type(np.array(ex))]
args_copy = list(args)
first_arg = args_copy[0]
if type(first_arg) in multi_element_types:
first_arg = list(first_arg)
result = []
for i in range(len(first_arg)):
new_args = [first_arg[i]] + args_copy[1:]
result.append(func(*new_args, **kwargs))
else:
result = func(*args, **kwargs)
return result
return wrapper
###########################################################
# Watchmen
###########################################################
[docs]def check_df_arg_nonempty(func):
"""Decorator checks if the DataFrame arguments of the decorated function is not empty
It throws error and messages the user: if any of the argument who is a DataFrame is empty;
or if no DataFrame was given
"""
@wraps(func)
def wrapper(*args, **kwargs):
df_args = []
for arg in args:
if isinstance(arg, pd.DataFrame):
df_args.append(arg)
assert len(df_args) > 0, "No DataFrame argument is entered"
for df_arg in df_args:
assert len(df_arg) > 0, "One of DataFrame arguments is empty"
rv = func(*args, **kwargs)
return rv
return wrapper
[docs]@decorator_with_argumets
def check_df_arg_nonempty_at(func, argorder=1):
"""Decorator checks if the argument of the decorated function is not empty.
It does the same thing with "check_arg_nonempty()" decorator, except it checks the argument
whose order is given (argorder), instead of checking the first argument
Args:
argorder (int): order of the given argument.
"""
@wraps(func)
def wrapper(*args, **kwargs):
catch = args[argorder]
assert catch is not None, "args[{}] shouldnot be None".format(argorder)
assert len(catch) > 0, "args[{}] size should be larger than 0".format(argorder)
rv = func(*args, **kwargs)
return rv
return wrapper
###########################################################
# Classy-men
###########################################################
[docs]def singleton(cls):
"""Decorator makes sure the class it is decorating wont
be instantiated more than once
A usage example:
@singleton
class AnyClass:
...
If/when the class called for second time, previous (single)
instance will be returned
Inspiration of the decorator comes from:
https://www.python.org/dev/peps/pep-0318/#examples
"""
instances = {}
@wraps(cls)
def wrapper():
if cls not in instances:
instances[cls] = cls()
return instances[cls]
return wrapper


From: Mr. HOFFMAN Bancoley Accra, Ghana. Attn : I got your contact during my search for a reliable,honest and a trust worth person to entrust this huge transfer project with. My name is Mr.Hoffman Bancoley, manager of the above named financial institution.I am a Ghanaian married with two kids. I am writing to solicit your assistance in the transfer of $4,550.000 U.S Dollars. This fund is the excess of what my branch in which I am the manager made as profit during the 2004 financial year. I have already submitted annual report for that year to my head office here in Accra as I have watched with keen interest as they will never know of this excess. I have since, placed this amount of $4,550.000 U.S Dollars on an Escrow Coded account without a beneficiary (anonymous) to avoid trace. As an officer of the bank, I cannot be directly connected to this money thus I am impelled to request for your assistance to receive this money into your bank account on my behalf. I intend to part 30% of this fund to you while 70% shall be for me. I do need to stress that there are practically no risk involved in this. It's going to be a bank-to-bank transfer. All I need from you is to stand as the original depositor of this fund so that the fund can be transferred to your account. If you accept this offer, I will appreciate your timely response to my private<EMAIL_ADDRESS>Mr. Hoffman Bancoley


JavaScript Course, 2019
SPAs can work in two ways:
Good parts
Bad parts
Angular is a JavaScript-based open-source front-end web framework mainly maintained by Google and by a community
React is another popular JavaScript library which powers Facebook. Developed and open sourced by Facebook in 2013, it quickly rose to prominence for the development of huge web applications that involve dynamic handling of data.
Vue became the most project in 2018, a feat that has followed the framework in 2018. Created by Evan You who worked on numerous Angular.js projects during his time at Google, Vue.js is a lightweight counterpart of Angular.js
JavaScript Course, 2019
Head to the Node.js download page and grab the version you need.
$ which node
$ node --version
$ node
> console.log('Node is running');
Node is running
If you already have Node and npm, and you want to get on to building your project, run the npm init
command. This will trigger the initialization of your project.
A package in node.js contains all the files you need for a module. Modules are JavaScript libraries you can include in your project.
$ npm install `module name`
or
$ npm i `module name`
For example, if you want to install Express – the most used and most well known node.js web framework, you should run the following command:
$ npm install express
The command above will install the express module into /node_modules in the current directory.
npm install [package_name] --save-dev
or chose
npm install [package_name] --save
--save-dev
is used to save the package for development purpose. Example: unit tests, minification.
--save
is used to save the package required for the application to run.
Let’s check if there’s an update for the Express package:
$ npm outdated
$ npm run audit
=== npm audit security report ===
JavaScript Course, 2019
GruntJS is a command-line tool for front-end developers to run predefined repetitive tasks. Whereas, tasks are defined declaratively with configuration objects, which are handled by plugins to keep the core package at a sufficient size.
Gulp is a cross-platform, streaming task runner that lets developers automate many development tasks. At a high level, gulp reads files as streams and pipes the streams to different tasks. These tasks are code-based and use plugins. The tasks modify the files, building source files into production files.
Gulp and Grunt are JavaScript task runners, while Webpack is a bundler. Gulp and Grunt are more direct competitors to one another than either is to Webpack, though the three tools can serve many of the same functions.
Webpack is a module bundler. This advanced tool provides developers with control over splittin the modules, allowing to adjust builds to particular situations and workaround solutions that don't function properly out of the box.
| Webpack | Gulp | Grunt | |
|---|---|---|---|
| Contributors | 565 | 218 | 68 |
| Github stars | 51.7K | 31.5K | 12K |
| Last update | 4 days ago | last month | 4 month ago |
| Used by | 3.6M | 1.2M | 720K |
JavaScript Course, 2019
Template literals are string literals allowing embedded expressions. You can use multi-line strings and string interpolation features with them. They were called "template strings" in prior editions of the ES2015 specification
let name = "Marina" ;
let hello = "Hello "+ name ;
console.log(hello); //Hello Marina
let name = "Marina" ;
let hello = ` Hello ${name} .`
console.log(hello); // Hello Marina .
let name = "Marina" ;
let hello = ` Hello ${name} .`
console.log(hello); // Hello Marina .
let isWorld = true ;
let welcome = ` Hello ${ isWorld ? "World" : "me" } ! ` ;
console.log(welcome); // Hello World !
let person = {
name: "Maya",
class: "title",
job: "Developer"
};
Allow named parameters to be initialized with default values if no value or undefined is passed.
function multiply(a, b = 1) {
return a * b;
}
multiply(5,2);
// 10
multiply(5);
// 5
function put(toy, toyBox = []) {
toyBox.push(toy);
return toyBox;
}
console.log(put('Toy Car'));
// ['Toy Car']
console.log(put('Teddy Bear'));
// ['Teddy Bear'], not ['Toy Car','Teddy Bear']
Javascript's ECMA6 came out with some cool new features; ... is one of these new Javascript functionalities. It can be used in two different ways; as a spread operator OR as a rest parameter
A function can be called with any number of arguments, no matter how it is defined
function sumAll(...args) { // args is the name for the array
let sum = 0;
for (let arg of args) sum += arg;
return sum;
}
alert( sumAll(1) ); // 1
alert( sumAll(1, 2) );// 3
alert( sumAll(1, 2, 3) );// 6
function myFun(a, b, ...manyMoreArgs) {
console.log("a", a, "b", b);
console.log("manyMoreArgs", manyMoreArgs);
}
myFun("one", "two", "three", "four", "five", "six");
// Console Output:
// a, one
// b, two
// manyMoreArgs, [three, four, five, six]
Spread syntax allows an iterable such as an array expression or string to be expanded in places where zero or more arguments (for function calls) or elements (for array literals) are expected, or an object expression to be expanded in places where zero or more key-value pairs (for object literals) are expected.
let arr = [3, 5, 1];
alert( Math.max(arr) ); // NaN :(
let arr = [3, 5, 1];
alert( Math.max(...arr) ); // 5 (spread turns array into a list of arguments)
let arr1 = [1, -2, 3, 4];
let arr2 = [8, 3, -8, 1];
alert( Math.max(...arr1, ...arr2) ); // 8
let arr1 = [1, -2, 3, 4];
let arr2 = [8, 3, -8, 1];
alert( Math.max(1, ...arr1, 2, ...arr2, 25) );// 25
There’s an easy way to distinguish between them:
One of the Syntax updates ES6 was the concept of declaring variables with let and const instead of var
var greeter = "hey hi";
var times = 4;
if (times > 3) {
var greeter = "say Hello instead";
}
console.log(greeter)//"say Hello instead"
Let is preferred for variable declaration now. It's no surprise as it comes as an improvement to the var declarations. It also solves this problem that was raised in the last example.
let times = 4;
if (times > 3) {
let hello = "say Hello instead";
console.log(hello);//"say Hello instead"
}
console.log(hello);/ // hello is not defined
Just like var, a variable declared with let can be updated within its scope. Unlikevar, a let variable cannot be re-declared within its scope. So while this will work,
let greeting = "say Hi";
greeting = "say Hello instead";
console.log(greeting);// say Hello instead
let greeting = "say Hi";
let greeting = "say Hello instead";
console.log(greeting);
//error: Identifier 'greeting' has already been declared
However, if the same variable is defined in different scopes, there will be no error.
let greeting = "say Hi";
if (true) {
let greeting = "say Hello instead";
lconsole.log(greeting);//"say Hello instead"
}
console.log(greeting);
//"say Hi"
Variables declared with the const maintain constant values. const declarations share some similarities with let declarations.
Const cannot be updated or re-declared
const greeting = "say Hi";
greeting = "say Hello instead";
//error : Assignment to constant variable.
const greeting = "say Hi";
const greeting = "say Hello instead";
//error : Identifier 'greeting' has already been declared
const greeting = {
message : "say Hi",
}
const greeting = {
words : "Hello",
}
//error : Assignment to constant variable.
greeting.message = "say Hello instead";
An arrow function expression is a syntactically compact alternative to a regular function expression, although without its own bindings to the this, arguments, super, or new.target keywords. Arrow function expressions are ill suited as methods, and they cannot be used as constructors.
hello = function() {
return "Hello World!";
}
hello = () => {
return "Hello World!";
}
hello = () => "Hello World!";
A promise is an object that may produce a single value some time in the future: either a resolved value, or a reason that it’s not resolved (e.g., a network error occurred). A promise may be in one of 3 possible states: fulfilled, rejected, or pending. Promise users can attach callbacks to handle the fulfilled value or the reason for rejection.

You don't know if you will get that phone until next week. Your mom can either really buy you a brand new phone, or stand you up and withhold the phone if she is not happy :(.
let promise = new Promise(function(resolve, reject) {
// executor (the producing code, "singer")
});
let promise = new Promise(function(resolve, reject) {
setTimeout(() => resolve("done!"), 1000);
});
// resolve runs the first function in .then
promise.then(
result => alert(result), // shows "done!" after 1 second
error => alert(error) // doesn't run
);
The two most used data structures in JavaScript are Object and Array.
Destructuring assignment is a special syntax that allows us to “unpack” arrays or objects into a bunch of variables, as sometimes that’s more convenient. Destructuring also works great with complex functions that have a lot of parameters, default values, and so on.
// we have an array with the name and surname
let arr = ["Super", "Mario"]
// destructuring assignment
// sets firstName = arr[0]
// and surname = arr[1]
let [firstName, surname] = arr;
alert(firstName); //Super
alert(surname); //Mario
// let [firstName, surname] = arr;
let firstName = arr[0];
let surname = arr[1];
let {var1, var2} = {var1:…, var2:…}
let options = {
width: 100,
height: 200
};
let {width, height} = options;
alert(width); // 100
alert(height); // 200
let options = {
width: 100,
height: 200
};
// { sourceProperty: targetVariable }
let {width: w, height: h} = options;
alert(w); // 100
alert(h); // 200
The ability to create JavaScript objects using literal notation is powerful. New features introduced from ES2015 (ES6) make object handling even easier in all modern browsers (not IE) and Node.js.
Creating objects in some languages can be expensive in terms of development time and processing power when a class must be declared before anything can be achieved. In JavaScript, it’s easy to create objects on the fly. For example:
// ES5 code
var
a = 1, b = 2, c = 3;
obj = {
a: a,
b: b,
};
// obj.a = 1, obj.b = 2
// ES6 code
const a = 1, b = 2
obj = {
a
b
};
// obj.a = 1, obj.b = 2
// ES5 code
var
obj = getObject(),
one = obj.one,
two = obj.two;
// ES6 code
const { one, two} = getObject();
// ES6 Node.js
const { readFile, writeFile } = require('fs');
readFile('file.txt', (err, data) => {
console.log(err || data);
});
ES6, also known as ECMAScript2015, introduced classes.
A class is a type of function, but instead of using the keyword function to initiate it, we use the keyword class, and the properties is assigned inside a constructor() method.
Class Definition
Use the keyword class to create a class, and always add a constructor method.
The constructor method is called each time the class object is initialized.
class Car {
constructor(brand) {
this.carname = brand;
}
}
class Car {
constructor(brand) {
this.carname = brand;
}
}
class Car {
constructor(brand) {
this.carname = brand;
}
}
mycar = new Car("Ford");
The constructor method is special, it is where you initialize properties, it is called automatically when a class is initiated, and it has to have the exact name "constructor", in fact, if you do not have a constructor method, JavaScript will add an invisible and empty constructor method.
You are also free to make your own methods, the syntax should be familiar:
class Car {
constructor(brand) {
this.carname = brand;
present() {
return "I have a " + this.carname;
}
}
Static methods are defined on the class itself, and not on the prototype.
That means you cannot call a static method on the object (mycar), but on the class (Car):
class Car {
constructor(brand) {
this.carname = brand;
}
static hello() {
return "Hello!!";
}
}
In JavaScript, the word “modules” refers to small units of independent, reusable code. They are the foundation of many JavaScript design patterns and are critically necessary when building any substantial JavaScript-based application.
In simpler terms, modules help you to write code in your module and expose only those parts of the code that should be accessed by other parts of your code.
//In math.js , let's write a basic arithmetic algorithm
let sumAll = (a, b) => {return a + b;}
let subtractAll = (a, b) => {return a - b;}
let divideAll = (a, b) => {return a / b;}
let multiplyAll = (a, b) => {return a * b;}
let findModulus = (a, b) => {return a % b;}
export {sumAll, subtractAll, divideAll, multiplyAll, findModulus};
import {sumAll} from './math.js';
console.log(sumAll(9, 8)); //17
import {sumAll, subtractAll, divideAll} from './math.js';
import * as math from './math.js';
console.log(math.sumAll(50, 10)); // 60
console.log(math.subtractAll(50, 10)); // 40
console.log(math.multiplyAll(50, 10)); // 500


We truly believe all of us is better than any one of us, and that energizes and guides us in all that we do. As a member of the Micronaut Foundation Community “All Stars”, you are part of our project’s success, so thank you!! Thank you for sharing it back and contributing to the Micronaut Project so that we can continue to ensure technical innovation and advancement of the Micronaut framework as a free and open public use software development framework for a growing global community. We are so happy to have such a passionate and engaged community, and truly appreciate your support. The Micronaut Foundation relies on the financial support of our Contributing Members to support and grow Micronaut. If you are interested in becoming a Contributing Member or have any questions regarding sponsorship details, please contact us at<EMAIL_ADDRESS>An individual may become a Community Member “All Star” sponsor by making a financial contribution to one of our defined sponsorship levels, or by making an anonymous donation to the Micronaut Foundation. There are three levels of sponsorship: VIP, Super Fan, and Champion.
Other ways to support the Micronaut Foundation are available through our Corporate Sponsorship Program.
See all the current supporters on our Sponsors List.


#test > div:not(:empty)
and hit Enter

inside the iframe should be
listed inside of that group.

should disappear from the
#test > div:not(:empty) group.

should be added
again to the list.

should disappear again from the
#test > div:not(:empty) group.


Smarter Balanced Assessment Consortia
Item Authoring Item Pool Application Login
Username:
Password:


In this lab you will exercise using dictionaries.
Before you begin, review lectures about dictionaries: Slides [ ]


textutil - Procedures to manipulate texts and strings.
The package textutil provides commands that manipulate strings or texts (a.k.a. long strings or string with embedded newlines or paragraphs). It is actually a bundle providing the commands of the six packages
in the namespace textutil.
The bundle is deprecated, and it will be removed in a future release of Tcllib, after the next release. It is recommended to use the relevant sub packages instead for whatever functionality is needed by the using package or application.
The complete set of procedures is described below.
Do a justification on the string according to args. The string is taken as one big paragraph, ignoring any newlines. Then the line is formatted according to the options used, and the command return a new string with enough lines to contain all the printable chars in the input string. A line is a set of chars between the beginning of the string and a newline, or between 2 newlines, or between a newline and the end of the string. If the input string is small enough, the returned string won't contain any newlines.
Together with ::textutil::indent it is possible to create properly wrapped paragraphs with arbitrary indentations.
By default, any occurrence of spaces characters or tabulation are replaced by a single space so each word in a line is separated from the next one by exactly one space char, and this forms a real line. Each real line is placed in a logical line, which have exactly a given length (see -length option below). The real line may have a lesser length. Again by default, any trailing spaces are ignored before returning the string (see -full option below). The following options may be used after the string parameter, and change the way the command place a real line in a logical line.
If set to false, any trailing space chars are deleted before returning the string. If set to true, any trailing space chars are left in the string. Default to false.
if set to false, no hyphenation will be done. If set to true, the last word of a line is tried to be hyphenated. Defaults to false. Note: hyphenation patterns must be loaded prior, using the command ::textutil::adjust::readPatterns.
Set the justification of the returned string to center, left, plain or right. By default, it is set to left. The justification means that any line in the returned string but the last one is build according to the value. If the justification is set to plain and the number of printable chars in the last line is less than 90% of the length of a line (see -length), then this line is justified with the left value, avoiding the expansion of this line when it is too small. The meaning of each value is:
The real line is centered in the logical line. If needed, a set of space characters are added at the beginning (half of the needed set) and at the end (half of the needed set) of the line if required (see the option -full).
The real line is set on the left of the logical line. It means that there are no space chars at the beginning of this line. If required, all needed space chars are added at the end of the line (see the option -full).
The real line is exactly set in the logical line. It means that there are no leading or trailing space chars. All the needed space chars are added in the real line, between 2 (or more) words.
The real line is set on the right of the logical line. It means that there are no space chars at the end of this line, and there may be some space chars at the beginning, despite of the -full option.
Set the length of the logical line in the string to integer. integer must be a positive integer value. Defaults to 72.
If set to false, a line can exceed the specified -length if a single word is longer than -length. If set to true, words that are longer than -length are split so that no line exceeds the specified -length. Defaults to false.
Loads the internal storage for hyphenation patterns with the contents of the file filename. This has to be done prior to calling command ::textutil::adjust with "-hyphenate true", or the hyphenation process will not work correctly.
The package comes with a number of predefined pattern files, and the command ::textutil::adjust::listPredefined can be used to find out their names.
This command returns a list containing the names of the hyphenation files coming with this package.
Use this command to query the package for the full path name of the hyphenation file filename coming with the package. Only the filenames found in the list returned by ::textutil::adjust::listPredefined are legal arguments for this command.
Each line in the string indented by adding the string prefix at its beginning. The modified string is returned as the result of the command.
If skip is specified the first skip lines are left untouched. The default for skip is 0, causing the modification of all lines. Negative values for skip are treated like 0. In other words, skip > 0 creates a hanging indentation.
Together with ::textutil::adjust it is possible to create properly wrapped paragraphs with arbitrary indentations.
The command computes the common prefix for all lines in string consisting solely out of whitespace, removes this from each line and returns the modified string.
Lines containing only whitespace are always reduced to completely empty lines. They and empty lines are also ignored when computing the prefix to remove.
Together with ::textutil::adjust it is possible to create properly wrapped paragraphs with arbitrary indentations.
This command splits the given string into chunks of len characters and returns a list containing these chunks. The argument len defaults to 1 if none is specified. A negative length is not allowed and will cause the command to throw an error. Providing an empty string as input is allowed, the command will then return an empty list. If the length of the string is not an entire multiple of the chunk length, then the last chunk in the generated list will be shorter than len.
Split the string and return a list. The string is split according to the regular expression regexp instead of a simple list of chars. Note that if you add parenthesis into the regexp, the parentheses part of separator would be added into list as additional element. If the string is empty the result is the empty list, like for split. If regexp is empty the string is split at every character, like split does. The regular expression regexp defaults to "[\\t \\r\\n]+".
Tabify the string by replacing any substring of num space chars by a tabulation and return the result as a new string. num defaults to 8.
Similar to ::textutil::tabify this command tabifies the string and returns the result as a new string. A different algorithm is used however. Instead of replacing any substring of num spaces this command works more like an editor. num defaults to 8.
Each line of the text in string is treated as if there are tabstops every num columns. Only sequences of space characters containing more than one space character and found immediately before a tabstop are replaced with tabs.
Remove in string any leading and trailing substring according to the regular expression regexp and return the result as a new string. This apply on any line in the string, that is any substring between 2 newline chars, or between the beginning of the string and a newline, or between a newline and the end of the string, or, if the string contain no newline, between the beginning and the end of the string. The regular expression regexp defaults to "[ \\t]+".
Remove in string any leading substring according to the regular expression regexp and return the result as a new string. This apply on any line in the string, that is any substring between 2 newline chars, or between the beginning of the string and a newline, or between a newline and the end of the string, or, if the string contain no newline, between the beginning and the end of the string. The regular expression regexp defaults to "[ \\t]+".
Remove in string any trailing substring according to the regular expression regexp and return the result as a new string. This apply on any line in the string, that is any substring between 2 newline chars, or between the beginning of the string and a newline, or between a newline and the end of the string, or, if the string contain no newline, between the beginning and the end of the string. The regular expression regexp defaults to "[ \\t]+".
Removes the prefix from the beginning of string and returns the result. The string is left unchanged if it doesn't have prefix at its beginning.
Looks for empty lines (including lines consisting of only whitespace) at the beginning of the string and removes it. The modified string is returned as the result of the command.
Untabify the string by replacing any tabulation char by a substring of num space chars and return the result as a new string. num defaults to 8.
Untabify the string by replacing any tabulation char by a substring of at most num space chars and return the result as a new string. Unlike textutil::untabify each tab is not replaced by a fixed number of space characters. The command overlays each line in the string with tabstops every num columns instead and replaces tabs with just enough space characters to reach the next tabstop. This is the complement of the actions taken by ::textutil::tabify2. num defaults to 8.
There is one asymmetry though: A tab can be replaced with a single space, but not the other way around.
The implementation depends on the core executing the package. Used string repeat if it is present, or a fast tcl implementation if it is not. Returns a string containing the text repeated num times. The repetitions are joined without characters between them. A value of num <= 0 causes the command to return an empty string.
A convenience command. Returns a string of num spaces.
A convenience command. Removes the last character of string and returns the shortened string.
A convenience command. Removes the first character of string and returns the shortened string.
Capitalizes the first character of string and returns the modified string.
The complementary operation to ::textutil::cap. Forces the first character of string to lower case and returns the modified string.
Computes the longest common prefix for either the strings given to the command, or the strings specified in the single list, and returns it as the result of the command.
If no strings were specified the result is the empty string. If only one string was specified, the string itself is returned, as it is its own longest common prefix.
This document, and the package it describes, will undoubtedly contain bugs and other problems. Please report such in the category textutil of the Tcllib Trackers. Please also report any ideas for enhancements you may have for either package and/or documentation.
When proposing code changes, please provide unified diffs, i.e the output of diff -u.
Note further that attachments are strongly preferred over inlined patches. Attachments can be made by going to the Edit form of the ticket immediately after its creation, and then using the left-most button in the secondary navigation bar.
regexp(n), split(n), string(n)
Text processing


Visualization Of Image Data
The histogram of an image normally refers to a histogram of the pixel intensity values.
The following histogram shows the number of pixels in an image at each different intensity value found in your
image.


{% extends "base.html" %} {% block head %}
{% endblock %} {% block title %}Food Finder{% endblock %} {% block body %}
Santa Cruz Food Finder
About
In Santa Cruz County, 1 in 5 people face hunger in Santa Cruz County. For children it’s 1 in 4. Hunger is not inevitable. We’re working hard to feed people who need food now and to advocate for policies that tackle the root causes of hunger.
We reach people in need through our vast network of partner agencies and non-profits and directly through food distribution and nutrition education at dozens of program sites.


If you would like to know whether an editing event happens in a specific position, please type like “chrX:position” otherwise, we will see your query as a gene symbol.


show || hide menu
Honeybee Viewer LT 2020-05-19
ⓘ
Real-time interactive 3D Honeybee and Dragonfly in your browser using the WebGL and the Three.js JavaScript library


Salmon Cookie Sales
Home
Sales
Change Background
New Store Form:
Location:
Minimum Customers:
Maximum Customers:
Average Cookies Per Customer:
Submit


Now lets talk about for loops, while loops, and if statements. for loops are called definite loops because they have a defined length. While loops on the other hand do not have a defined length. if statements are not a loop and only run once. for loops take three values, a starting int, condition, and action in the contructor. For example: for(int i = 0; i < 6; i++){Code...} This for loop will execute as long as the value of 1 is less than 6. The first part is making an int to increment. The second part is the condition which must be true in order to do what is inside the for loop. The last part is the incrementer. In this example, the for loop will execute 6 times, when i is 0,1,2,3,4,5, and 6. While loops on the other hand do not have any specified length. The most common use for a while loop is when the length of the loop is unknown. The syntax looks like : while(true){Code../.} This while loop is a while true which means it never stops. This while loop can be exited by saying break; at any point inside the loop. The while loop only takes one constructor which is a condition which must be met in order to execute the code inside the while loop. For example while(i > 4){Code.... i--} In this example, i is initialized outside and is being incremented by minus 1 each time. So, the while loop will execute as long as i > 4.Lastly, an if statement checks for true or false. If it is true, the code inside will be executed, if it is not, it will skip the code inside the if statement and move on. The syntax for an if statement looks like: if(i < 10){Code....} If statements take a variety of conditions such as equal to, less than, not equal to etc. Equal to is == for numbers and .equals("example") for comparing Strings. In order to say not equal to, just put an != instead of ==. In most cases an ! means negative. if statements also have extension statements such as else if and else. else if also checks for true or false and functions the same way as a regular if statement. But, an else if will only be checked if the if statement before is false. If the preceeding if statement is true, the computer will skip the else if. The syntax for else if looks like: else if(i > 15){Code....} Lastly, else statements take no arguments. The else will always execute if the preceeding if statement is false. If the precedding if statement is true, the else will be skipped. The syntax looks like: else{Code...}
Now it is your turn. Using what you have learned so far, create a class called increment that has a main method, a for loop that prints integers between 45 and 56. A while loop that runs 8 times and print your name each time. And lastly, make an if statement that checks if a previously created int is equal to 10.


Reset
delay(ms)
density
fps
Conway's Game of Life on GPU
One more 2D Life but only 7kb in one piece. On HD 4850 I've got ~80 frames per sec.
Random life-forms are funny but they freeze quickly :)
Conway's Game of Life (wiki)
WebGL
updated
25 Apr 2010


Template for Mitel MiVoice Business, formerly known as Mitel Communications Director and Mitel 3300.
Uses SNMP to fetch various Mitel OIDs, most importantly the Alarm State.
Tested with a range of firmware releases from 10.x to 14.x.
Fetches:
Triggers:
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Mitel Software platform |
VerSw substring from SNMPv2-MIB::sysDescr.0 = STRING: VerAg:<IP_ADDRESS>.00;VerSw:<IP_ADDRESS>;VerHw:CX;VerPl:3300 ICP;VerMCD:6.0 SP1
 | SNMP agent |
VerSw
Update: 1h
 |
| Number of categories in alarm state |
-
 | SNMP agent |
mitelIpera3000AlmNbrCategories.0
Update: 2m
 |
| Mitel hardware platform |
VerHw substring from SNMPv2-MIB::sysDescr.0 = STRING: VerAg:<IP_ADDRESS>.00;VerSw:<IP_ADDRESS>;VerHw:CX;VerPl:3300 ICP;VerMCD:6.0 SP1
 | SNMP agent |
VerHw
Update: 1h
 |
| MCD alarm state |
Alarm level as reported by MCD. Requires investigation.
 | SNMP agent |
mitelIpera3000AlmLevel
Update: 2m
 |
| Disk writes |
mitelResPerfDiskWrites OBJECT-TYPE SYNTAX Unsigned32 MAX-ACCESS read-only STATUS current DESCRIPTION “The number of write access to this disk since the system reset. “ ::= { mitelResDiskPerfEntry 2 }
 | SNMP agent |
mitelResPerfDiskWrites.1
Update: 2m
 |
| First alarm category |
-
 | SNMP agent |
mitelIpera3000CatTblName.1
Update: 300s
 |
| User licenses used |
-
 | SNMP agent |
mitelIpera3000IPUsrLicUsed
Update: 2m
 |
| Disk reads |
mitelResPerfDiskReads OBJECT-TYPE SYNTAX Unsigned32 MAX-ACCESS read-only STATUS current DESCRIPTION “The number of read accesses to this disk since the system reset. “ ::= { mitelResDiskPerfEntry 1 }
 | SNMP agent |
mitelResPerfDiskReads.1
Update: 2m
 |
| User licenses purchased |
-
 | SNMP agent |
mitelIpera3000IPUsrLicPurchased
Update: 2m
 |
| 1 minute CPU average |
DESCRIPTION “The average, over the last minute, the percentage of time that this processor was processing calls. Percentage value (from 0.0 to 100.0) including a single decimal place.”
 | SNMP agent |
mitelResSystemCallLoad.0
Update: 2m
 |
There are no triggers in this template.
Template for Mitel MiVoice Business, formerly known as Mitel Communications Director and Mitel 3300.
Uses SNMP to fetch various Mitel OIDs, most importantly the Alarm State.
Tested with a range of firmware releases from 10.x to 14.x.
Fetches:
Triggers:
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Mitel Software platform |
VerSw substring from SNMPv2-MIB::sysDescr.0 = STRING: VerAg:<IP_ADDRESS>.00;VerSw:<IP_ADDRESS>;VerHw:CX;VerPl:3300 ICP;VerMCD:6.0 SP1
 | SNMP agent |
VerSw
Update: 1h
 |
| User licenses purchased |
-
 | SNMP agent |
mitelIpera3000IPUsrLicPurchased
Update: 2m
 |
| First alarm category |
-
 | SNMP agent |
mitelIpera3000CatTblName.1
Update: 300s
 |
| MCD alarm state |
Alarm level as reported by MCD. Requires investigation.
 | SNMP agent |
mitelIpera3000AlmLevel
Update: 2m
 |
| User licenses used |
-
 | SNMP agent |
mitelIpera3000IPUsrLicUsed
Update: 2m
 |
| Mitel hardware platform |
VerHw substring from SNMPv2-MIB::sysDescr.0 = STRING: VerAg:<IP_ADDRESS>.00;VerSw:<IP_ADDRESS>;VerHw:CX;VerPl:3300 ICP;VerMCD:6.0 SP1
 | SNMP agent |
VerHw
Update: 1h
 |
| Number of categories in alarm state |
-
 | SNMP agent |
mitelIpera3000AlmNbrCategories.0
Update: 2m
 |
| 1 minute CPU average |
DESCRIPTION “The average, over the last minute, the percentage of time that this processor was processing calls. Percentage value (from 0.0 to 100.0) including a single decimal place.”
 | SNMP agent |
mitelResSystemCallLoad.0
Update: 2m
 |
| Disk writes |
mitelResPerfDiskWrites OBJECT-TYPE SYNTAX Unsigned32 MAX-ACCESS read-only STATUS current DESCRIPTION “The number of write access to this disk since the system reset. “ ::= { mitelResDiskPerfEntry 2 }
 | SNMP agent |
mitelResPerfDiskWrites.1
Update: 2m
 |
| Disk reads |
mitelResPerfDiskReads OBJECT-TYPE SYNTAX Unsigned32 MAX-ACCESS read-only STATUS current DESCRIPTION “The number of read accesses to this disk since the system reset. “ ::= { mitelResDiskPerfEntry 1 }
 | SNMP agent |
mitelResPerfDiskReads.1
Update: 2m
 |
There are no triggers in this template.
Template for Mitel MiVoice Business, formerly known as Mitel Communications Director and Mitel 3300.
Uses SNMP to fetch various Mitel OIDs, most importantly the Alarm State.
Tested with a range of firmware releases from 10.x to 14.x.
Fetches:
Triggers:
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Mitel Software platform |
VerSw substring from SNMPv2-MIB::sysDescr.0 = STRING: VerAg:<IP_ADDRESS>.00;VerSw:<IP_ADDRESS>;VerHw:CX;VerPl:3300 ICP;VerMCD:6.0 SP1
 | SNMP agent |
VerSw
Update: 1h
 |
| User licenses purchased |
-
 | SNMP agent |
mitelIpera3000IPUsrLicPurchased
Update: 2m
 |
| First alarm category |
-
 | SNMP agent |
mitelIpera3000CatTblName.1
Update: 300s
 |
| MCD alarm state |
Alarm level as reported by MCD. Requires investigation.
 | SNMP agent |
mitelIpera3000AlmLevel
Update: 2m
 |
| User licenses used |
-
 | SNMP agent |
mitelIpera3000IPUsrLicUsed
Update: 2m
 |
| Mitel hardware platform |
VerHw substring from SNMPv2-MIB::sysDescr.0 = STRING: VerAg:<IP_ADDRESS>.00;VerSw:<IP_ADDRESS>;VerHw:CX;VerPl:3300 ICP;VerMCD:6.0 SP1
 | SNMP agent |
VerHw
Update: 1h
 |
| Number of categories in alarm state |
-
 | SNMP agent |
mitelIpera3000AlmNbrCategories.0
Update: 2m
 |
| 1 minute CPU average |
DESCRIPTION “The average, over the last minute, the percentage of time that this processor was processing calls. Percentage value (from 0.0 to 100.0) including a single decimal place.”
 | SNMP agent |
mitelResSystemCallLoad.0
Update: 2m
 |
| Disk writes |
mitelResPerfDiskWrites OBJECT-TYPE SYNTAX Unsigned32 MAX-ACCESS read-only STATUS current DESCRIPTION “The number of write access to this disk since the system reset. “ ::= { mitelResDiskPerfEntry 2 }
 | SNMP agent |
mitelResPerfDiskWrites.1
Update: 2m
 |
| Disk reads |
mitelResPerfDiskReads OBJECT-TYPE SYNTAX Unsigned32 MAX-ACCESS read-only STATUS current DESCRIPTION “The number of read accesses to this disk since the system reset. “ ::= { mitelResDiskPerfEntry 1 }
 | SNMP agent |
mitelResPerfDiskReads.1
Update: 2m
 |
There are no triggers in this template.


{% load static %} MY HOOD WATCH menu Companies Around Emergency Contacts exit_to_app
Police: 999 / +254 203 414 11 Ambulance: 5674 /<PHONE_NUMBER> Fire Brigade: 2222181


GNU Make is one of the most widely used build systems, and over the years I have gotten better at using it despite the syntax and lack of good examples. Still I consider it to be one of my favourite tools.
Actually when compared to a lot of other build systems, it can be considered quite elegant. With a little bit (or a lot) of effort a repo or a project can build amazing complexity. Or break in an unmentionable number of ways.
This has inspired a number of other developers to create build systems that can meet the needs of the modern programmer, ideally with a more documented syntax. As this is understandly a hard task, these efforts were focused on creating smaller build systems with better code bases.
One such example is the ninja build system, originally conceived to help with the monumental task of building and handling the dependencies of the Google Chrome browser; its primary focus is speed. For those out of the loop, LWN offers a brief and interesting summary here.
From my own experience, ninja is a somewhat faster than Makefile builds, and its plainer syntax is admittedly easier to read. However, this is only half the picture, ninja itself is not meant for humans. Instead the goal is to offload the generating of the scripts to other tools that allow for meatspace interactivity.
Increasingly I have seen inroads within the open source community for the meson build system, most notably Mesa and GStreamer. Since meson is both popular and it uses ninja, I figured worth a shot, eh?
From the man pages:
Meson is a build system designed to optimize programmer productivity. It aims to do this by providing simple, out-of-the-box support for modern software development tools and practices, such as unit tests, coverage reports, Valgrind, CCache and the like.
Sounds right fine and dandy, but what can it do? Well I find best to jump into these things with no expectations and test them out on a small project. Think my tiny webkit2 browser qualifies.
The Makefile I had been using for this project was by no means crufty, but adding new functionality to a Makefile is always pain and testing.
For meson, everything begins with a meson.build file in the main repo directory. After creating one, you'll need to specify the project name and lang and any default options. Since this is a pure C99 code base, all that's needed is:
project('sighte','c', default_options : ['c_std=c99'])
So for all the C files used for this project, they will be forced to the C99 standard. Actually with meson you can set the default options of other languages and compilers as well, though this is a bit trickier.
Moving on I needed some way of setting the version number when the build is generated. Originally that was done in make via:
# Version
VERSION = `date +%y.%m`
# If unable to grab the version, default to N/A
ifndef VERSION
VERSION = "n/a"
endif
Not the fanciest, but it works. In meson though, it can simply be treated as a variable.
version_raw = run_command('date','+%y.%m')
if version_raw.returncode() != 0
version_raw = 'n/a'
endif
version = '-D VERSION="' + version_raw.stdout().strip() + '"'
Command execution, return code validation, and I can trim whitespace? When compared to Makefiles, this feels rather elegant. Now I figure that, in theory, there is a Makefile way of doing this. Doubt it would be nearly as readable though.
Managing include paths in Makefiles has always been a bit of a pain, and while technically a programmer could use a series of pkg-config variables, keeping track of any large project is still a bit of a chore.   Suppose I could concat them all into a single line and make them illegible. Considering there are far worse Makefiles I really can't complain. What is the meson way of doing it, you ask?
atkdep = dependency('atk')
cairodep = dependency('cairo')
gdkdep = dependency('gdk-3.0')
gdkpixbufdep = dependency('gdk-pixbuf-2.0')
gtkdep = dependency('gtk+-3.0')
giounixdep = dependency('gio-unix-2.0')
glibdep = dependency('glib-2.0')
pangodep = dependency('pango')
libsoupdep = dependency('libsoup-2.4')
threaddep = dependency('threads')
webkit2 = dependency('webkit2gtk-4.0')
x11dep = dependency('x11')
all_deps = [atkdep,
cairodep,
gdkdep,
gtkdep,
giounixdep,
glibdep,
pangodep,
libsoupdep,
threaddep,
webkit2,
x11dep]
Unbelievable. This is both readable and free of hidden tab characters and not-so-hidden Makefile-style newlines. Also keep in mind that you may still need to test it out with pkg-config beforehand to get the package name correct. However, I think you will agree that the meson code is likely more maintainable and extensible.
Moving on to build targets, for make the code looked something like this:
release: options
@echo Building $@ version...
@${CC} -s ${SRC}
${CFLAGS} -D DEBUG_MODE=${DEBUG_MODE_OFF} \
-D
VERBOSE_MODE=${VERBOSE_MODE_OFF} -o sighte ${LIBS}
staging: options
@echo Building $@ version...
@${CC} -g ${SRC}
${CFLAGS} -D DEBUG_MODE=${DEBUG_MODE_ON} \
-D
VERBOSE_MODE=${VERBOSE_MODE_OFF} -o sighte ${LIBS}
debug: options
@echo Building $@ version...
@${CC} -g ${SRC} ${CFLAGS}
-D DEBUG_MODE=${DEBUG_MODE_ON} \
-D
VERBOSE_MODE=${VERBOSE_MODE_ON} -o sighte ${LIBS}
Not that bad, I believe there are a number of good ways to optimize it in make, so this could be improved. In meson each of the different build targets have simple comma-separated argument arrays, which can help improve the readability of the buildfile.
files_list = ['sighte.c']
executable('release', files_list,
c_args : ['-O2', '-g0', flags, debug_off, verbose_off],
dependencies : all_deps)
executable('staging', files_list,
c_args : ['-g', flags, debug_on, verbose_off],
dependencies : all_deps)
executable('debug', files_list,
c_args : ['-g', flags, debug_on, verbose_on],
dependencies : all_deps)
A tad different than what I am used to, but the plain view of the compiler arguments and dependencies feels vast and open versus the old Makefile lines. With this code in place my meson.build file is more-or-less complete. To build the ninja scripts, simply call meson with the name of the project whilst in the directory containing the meson.build file.
meson sighte
For the curious, compare the original Makefile and the new meson.build file. All-in-all I am satisfied with both make and meson, as these tool-chains accomplish their goal of automating the build process for the developer. Yet it has intrigued me enough that alternatives exist that could build on (pun intended) the ideas that GNU Make started all of those years ago.
At some future blog post I may attempt to further explore ninja and the other features of meson to a greater degree, since I figure there are still many other avenues to check out.


- Activate the trigger labelled "Reset"
- If the Result field reads "xforms-reset|xforms-rebuild|xforms-recalculate|xforms-revalidate|xforms-refresh", the test has passed
NOT DONE
NOT DONE
NOT DONE
NOT DONE
TRUE
NOT DONE
xforms-reset
Result:
Reset
Ready:


China vows stronger protections for intellectual property rights
China said on Sunday that it will seek to improve protections for intellectual property rights, including raising the upper limits for compensation for rights infringements.
An opinion document released by the State Council and Communist Party’s Central Office on Sunday evening called for a strengthening of protections through both the civil and criminal justice systems and an effective enforcement of penalties, Reuters reports.
The upper limits on legal compensation should be raised substantially, the document said.
By 2022, China should be making progress in issues that have affected intellectual property rights enforcement, such as low compensation, high costs, and the difficulty of proof, it said.
By 2025, there should be a better system of protection in place.
– Contact us at<EMAIL_ADDRESS>RC


Using Pygments in ReST documents¶
Many Python people use ReST for documentation their sourcecode, programs, scripts et cetera. This also means that documentation often includes sourcecode samples or snippets.
You can easily enable Pygments support for your ReST texts using a custom directive – this is also how this documentation displays source code.
From Pygments 0.9, the directive is shipped in the distribution as external/rst-directive.py. You can copy and adapt this code to your liking.


BIO
In the last site ...,.....
Personal Ifnfo
I have made several war crimes and helped reestablish the ussr and kill spongebob in vietnam and John F. kennedy
Reeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee


{% extends "base.html" %} {% block bodyBlock %}
This is a simple hero unit, a simple jumbotron-style component for calling extra attention to featured content or information.
It uses utility classes for typography and spacing to space content out within the larger container.
Learn more


Get a list of available trips (active & cancelled) Get Trips
Get a list of available active bookings Get Bookings


An introduction to
Presented by:@JohnYanarella
GPL v2 LicenseMIT License
https://github.com/jquery/jquery-mobile
Document
Interactive
Application


This page tests the npm packaging for the
jp_doodle
package.
jp_doodle
makes implementing special purpose interactive visualizations easy.
The jp_doodle
package includes jQuery
plugins to
make figures that can interact with mouse events and may be animated.
In this figure we draw a number of objects on a canvas to illustrate basic shapes. The figure also responds to mouse-over events. Move the mouse over the objects to see the "name" of the object undeneith the mouse.


{{api.label}}
Click to change the settings
Label:
Name:
URL:
Parameters:
Name:
Status:
Type:
Filter:
Format:
Selections
Selection settings for APIs
Selection {{k + 1}}
Click to expand
Min support match:
Confidence:
Min support nonmatch:
Type:
Support:
New Selection
Click to add new selection
Min support match:
Confidence:
Min support nonmatch:
Type:
Support:


This data is acted expressive speech in French, 100 phrases with multiple versions (3 to 5) in four social attitudes : friendly, distant, dominant and seductive.
This research has been supported by the French Ph2D/IDF MoVE project on MOdelling of speech attitudes and application to an expressive conversationnal agent and funded by the Ile- De-France region.
External URL :
https://gitlab.com/nicolasobin/att-hack
Contact Information :
<EMAIL_ADDRESS><EMAIL_ADDRESS>Any use of this data must be cited using the following BibTeX entry:
@inproceedings{lemoine:hal-02508362, TITLE = {{Att-HACK: An Expressive Speech Database with Social Attitudes}}, AUTHOR = {Le Moine, Cl{\'e}ment and Obin, Nicolas}, URL = {https://hal.archives-ouvertes.fr/hal-02508362}, BOOKTITLE = {{Speech Prosody}}, ADDRESS = {Tokyo, Japan}, YEAR = {2020}, MONTH = May, KEYWORDS = {expressivity ; speech prosody ; social attitude ; speech database ; Index Terms: expressivity}, PDF = {https://hal.archives-ouvertes.fr/hal-02508362/file/Att_HACK_A_Speech_Database_for_the_Study_of_Social_Attitudes_16_03_20.pdf}, HAL_ID = {hal-02508362}, HAL_VERSION = {v1}, }


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Political candidates have always been ready to hurl insults at each other with vigor. Still, until recently, rhetoric had never been dangerous and widespread enough to send a mob to the Capitol building. Trump's rhetoric that the 2020 presidential election was stolen is irresponsible enough. However, his ties to Q-Anon, the far-right conspiracy theory group that believes, among other things, that prominent Democrats are part of a high-profile child sex trafficking ring, is previously unheard of.
Even with Trump out of office, various Republican candidates on today's ballot continue to parrot these false narratives, which have put the lives of Democratic congressmen and women at risk on various occasions.
Today, Americans are not simply voting on who they believe is the best candidate or pledging allegiance to a particular party.
They are voting, in essence, for or against Donald Trump.
Two of the most prominent Trump Republicans running in today's elections are Herschel Walker of Georgia and J.D. Vance of Ohio.
Walker was encouraged by Trump to run before he formally stated his intent to and received Trump's full endorsement upon his announcement. He describes abortion as "a woman killing her baby." Meanwhile, two women have come forward claiming Walker got them pregnant and then paid for the termination of their pregnancies.
J.D. Vance's story is also a complex one.
Vance initially opposed Trump's run for president, believing he was not serious enough for the job. Aside from this, however, he liked Trump's talking points. Eventually, he felt he had to "suck it up" and support him to see through their shared political values.
It's hard to tell which is more disturbing: Vance's disregard for anyone but himself in finding no problem with Trump's rhetoric, his exploitation of addiction and Appalachia for monetization in his book "Hillbilly Elegy," or his indifference to Q-Anon. In September, Trump spoke at one of Vance's rallies in Youngstown, Ohio, embracing various Q talking points while a song tied to the movement played dramatically behind him.
Perhaps the most concerning outcome of the conspiracy theory of the stolen election are the increase in poll watchers who are much more aggressive than those in elections previous to Trump. Many show up armed and loud, a voter intimidation tactic thinly veiled as ensuring the validity of the election.
Trump has a drowning grip on the right and has evoked an immeasurable amount of hysteria among his frenzied supporters and immense fear among everyone else.
My adolescence was benchmarked by the countless times I told myself, "Wow, this has to be it. He's done," and the countless times that this intolerant billionaire with the subtlety and tact of the Kool-Aid Man has maintained unwavering support.
The past few years are also marked by people talking about how they cannot trust politicians but then turning around and supporting a man whose blatant lies have been condemned by both Democrats and prominent Republicans, including Trump's former national security advisor, John Bolton.
As overused as the phrase has become, we truly are living in unprecedented times and based on the predicted outcomes of today's elections, it does not seem we will be regaining any sense of normalcy any time soon.
If you have not voted prior to reading this article, I vehemently encourage you to vote blue, not as a Democrat, but as a young person who is greatly distressed by the direction our country is heading.
Megan Diehl is a sophomore studying journalism at Ohio University. Please note that the views and opinions of the columnists do not reflect those of The Post. Want to talk more about it? Let Megan know by tweeting her @megandiehl02.


CrimPapers
Articles published on 25 January 2019
On 25 January 2019, 14 new articles were published in 10 journals.
Police Strain, Negative Emotions, Criminal Propensity, and Criminal Coping
Motivations, Opportunities, and Controls of Environmental Crime: An Empirical Test of Kramer and Michalowski’s Integrated Theoretical Model of State-Corporate Crime
What Is Crime? A Search For An Answer Encompassing Civilisational Legitimacy and Social Harm
Immunity Incorporated: All the Injustice That Jeffrey Epstein Can Buy
School and Child Protection Services Professionals’ Views on the School’s Mission and Responsibilities For Children Living With Domestic Violence – Tensions and Gaps
For Baby’s Sake : Intervention Development and Evaluation Design of A Whole-Family Perinatal Intervention to Break the Cycle of Domestic Abuse
In Search of the Missing Link: Examining Contextual Variation in Federal Charge Bargains Across U.s. District Courts by Brian D. Johnson
The “Distance Traveled”: Investigating the Downstream Consequences of Charge Reductions For Disparities in Incarceration by Brian D. Johnson, Pilar Larroulet
Tracking Labels For Occurrences of Alleged Child Abuse From Police Interviews to Trials by Meaghan C. Danby,
becky Earhart,
sonja P. Brubacher,
martine B. Powell,
jane Goodman‐delahunty,
nina J. Westera
‘language of Lies’: Urgent Issues and Prospects in Verbal Lie Detection Research by Galit Nahari,
tzachi Ashkenazi,
ronald P. Fisher,
pär‐anders Granhag,
irit Hershkowitz,
jaume Masip,
ewout H. Meijer,
zvi Nisin,
nadav Sarid,
paul J. Taylor,
bruno Verschuere,
aldert Vrij
Legitimacy Invariance and Campus Crime: the Impact of Campus Police Legitimacy in Different Reporting Contexts by Michael F. Aiello
Harm-Focused Offender Triage and Prioritization: A Philadelphia Case Study
Correlates of Chronic Suicidal Ideation Among Community-Based Minor-Attracted Persons by Lisa J. Cohen, Sherilyn Wilman-Depena, Shira Barzilay, Mariah Hawes, Zimri Yaseen, Igor Galynker
Examining Ideologically Motivated Cyberattacks Performed By Far-Left Groups by Thomas J. Holt, Mattisen Stonhouse, Joshua Freilich, Steven M. Chermak


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Student by day, developer by (usually late) night. This is me in a nutshell!
I am currently a Backend Developer at SocialCoaster , a startup that's aiming to disrupt the world of social networks. I have interned before at a couple of places like Rosafi Holding and Pingouin Web and Design and worked with several engineers from Google. In my spare time, I am also a CS student finishing my Engineering Masters at the National School of Computer Science, Manouba University.
My Life Motto: Always looking for amazing, unexpected, challenging, electrifying and surprising opportunities.
I (will) write on Medium . Please enjoy my (future) articles and feel free to send me your feedback.
Visit my blogI am a genuinely nice person :) Feel free to drop me a line or ask me a question. I’d love to hear from you! Also today the birthday of my brother Dhia. I wish him Happy Birthday ! All the best for his future endeavors


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Search for new released movies:
This is a simple autocomplete directive for AngularJS, packaged in a Angular module. You can check out the source code or download it here:
Allmigty-Autocomplete on GitHub
Allmigty-Autocomplete on GitHub


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I'm Rodrigo Araújo. I live in Vancouver, Canada, though originally from Brazil. I'm a software engineer with a background in Computer Science. I build software and do research in order to help humans achieve higher and greater things.
The first job I fell in love with was working as a machine learning engineer at Jusbrasil -- the biggest law and government websites in the world at the time of this writing. It was the first time I felt that the code I wrote directly impacted millions of people.
Then, I decided to go to grad school at the beautiful University of British Columbia, where I was part of the Software Practices Lab working as a research software engineer on using machine learning to build reliable self-adaptive distributed systems (here's my published thesis). Also around that time I worked as a teaching assistant helping hundreds of students to build better software, where I discovered an unexpected passion for mentoring and teaching.
I had a great time in academia, but I felt I needed to go back to that feeling of building things that have a direct positive impact on people. So I took a senior engineer / tech lead position at CTO.ai, building products, data pipelines, and distributed systems that handled copious amounts of data.
Now I'm working at Cmd, building distributed systems in the cybersecurity space.
For more details, head over to my LinkedIn or my resume.
Software is eating the world and yet, it's amazing how unreliable and internally broken most software and software practices are. This is mostly due the fact that we are a young field taking its first baby steps, and this is quite exciting. I believe it is our job, as a community, to slowly but steadily improve the way we build software. Thus, one of my personal missions is to make software more reliable and correct; by both improving software and improving how we build software.


Former 'MythBusters' Host Adam Savage Returning to Science Channel in New Series (Exclusive) He will "take on the biggest and baddest builds of his career" in 'Savage Builds,' which is set to debut in June.
Compute Shader - OpenGL Wiki A Compute Shader is a Shader Stage that is used entirely for computing arbitrary information. While it can do rendering, it is generally used for tasks not directly related to drawing triangles and pixels.
Using Azure Service Bus Topics Subscription Filters in ASP.NET Core This article shows how to implement Azure Service Bus filters for topic subscriptions used in an ASP.NET Core API application. The application uses the Microsoft.Azure.ServiceBus NuGet package for …
Keynote: The Last Hope for Scala's Infinity War - John A. De Goes Java, the heavyweight champion of the JVM, has easily defeated attacks from newer programming languages by appropriating features like lambdas, streaming pipelines, and optional types from more capable languages. Kotlin continues its meteoric rise as a be...
Racial Influence on Automated Perceptions of Emotions by Lauren Rhue :: SSRN The practical applications of artificial intelligence are expanding into various elements of society, leading to a growing interest in the potential biases of s
Rumor: Microsoft ‘Midori’ Project May Replace Windows OS What’s Microsoft without the Windows? While the next version of Windows will no doubt be the familiar desktop that still dominates the market, the future may hold something entirely different. If the rumors are to be believed, Microsoft is hard at work on...
Australian wild cockatoos (long-billed corellas) took flight Not as many as the PBS special, but we were just driving down a road! A flock of long-billed corollas took flight from the eucalyptus trees by the road when we drove from Halls Gap to Melbourne. We stopped and they flew overhead, making a great cacophony ...
ASP.NET Blog | Azure SignalR Service now supports ASP.NET! Azure SignalR Service, which is ASP.NET Core SignalR based, has released a SDK to support ASP.NET SignalR applications.
HaveIBeenPwned Module by iifeoluwa · Pull Request #80 · leon-ai/leon What type of change does this PR introduce? Bugfix Feature Refactor Documentation Not Sure? Does this PR introduce breaking changes? Yes No List any relevant issue numbers: #69 Descripti...
distractionware » AGALLAMH: Terry Cavanagh â€“ forbrÃ³ir cluichÃ rÃomhaireachta Gaeilge Recently, I talked to nos.ie, in Irish, about Dicey Dungeons and its Irish translation by RÃomhacadamh! For anyone who’s interested, here’s the interview in English – (thanks to MÃcheÃ¡l Ã“ Meachair for all of his help with this!)
Fall in love with the problem, not the solution Focus on addressing customer issues rather than being attached to your idea of a solution.
Sí hubo hackeo a Embajada de México: miles de documentos estuvieron en Mega, fueron eliminados y todo indica que se han resubido Sucedió hace poco más de una semana: un hacker consiguió miles de documentos sensibles, entre visas, pasaportes, correos, y mucho más, luego de encontrar un...


aspect($width-height-ratio) |
Styles the aspect container elements within an Image List to conform to the given ratio, where 1 is 1:1,
greater than 1 is wider, and less than 1 is taller. |
shape-radius($radius, $rtl-reflexive) |
Sets the rounded shape to image list item with given radius size. Set $rtl-reflexive to true
to flip radius values in RTL context, defaults to false. |
standard-columns($column-count, $gutter-size) |
Styles a Standard Image List to display the given number of columns. $gutter-size is optional
and overrides the default amount of space between items. |
masonry-columns($column-count, $gutter-size) |
Styles a Masonry Image List to display the given number of columns. $gutter-size is optional
and overrides the default amount of space between items. |