Juventus coach Sarri: I was defined as a 'Taliban' for wanting to play Sarriball
The Old Lady boss says he can’t win no matter how he sets his teams out to play.
by The42 TeamJUVENTUS COACH MAURIZIO Sarri claimed he has been ostracised as a ‘Taliban’ by critics for wanting to play his own style of football.
The Italian tactician’s attacking brand of football, which has been dubbed ‘Sarriball’ by the media, was highly popular while he was at Napoli between 2015-18, as he led the Serie A club to two second-place finishes.
Sarri has veered away from his familiar style since joining Juve in the summer to fit in attacking players such as Cristiano Ronaldo, Gonzalo Higuain and Paulo Dybala into the team.
However, despite going unbeaten with the Serie A champions so far, he believes that he can’t keep critics happy no matter his side plays, jokingly suggesting he was seen as a member of Islamic fundamentalist group ‘The Taliban’.
“I was defined as a Taliban because I always wanted to play my football, now it’s not good enough because I adapt to the different characteristics of my players,” Sarri said in a pre-match press conference prior to the Old Lady’s Champions League match against Atletico Madrid.
“If I had to listen to or read the things that are said about Juventus, I would go crazy. I just get on with my work.
“I would like to see the most consistent team and certain attitudes, but we must take into consideration the different characteristics of our players.”
Sarri’s impressive efforts in Naples helped earn a move to Premier League side Chelsea last season, but the 60-year-old was criticised for relentlessly trying to play his style of football, with decisions such as implementing N’Golo Kante further forward and persisting with Jorginho in a deep role widely questioned.
With his time in London not working out as planned, Sarri was hired by Juve for this season after Massimiliano Allegri decided to step down - and despite going unbeaten to win 14 of his first 17 games in charge, critics are still circling the club that has won eight consecutive league titles.
Sarri, however, is confident that his team will continue to get better during his reign and he vowed to continue to play to the strengths of his players.
“We will improve in many aspects, but you can’t go for your personal taste and against the characters you already have,” he said.
“The team must be accompanied by implementing ideas, and we have real room for improvement.
“Right now, we are only showing flashes of what we feel we can achieve and we would like to show them more consistently.
“The margins are wide, and we will find them between the highs and lows.”


AMAZING PEOPLE ARE MAKING DESIGNS IN A FUN ENVIRONMENT
When you work with us, you are part of a team of committed collaborators.
All aspects of our software development process are integrated, interactive and agile.
Our approach unifies design, development and product management to create exceptional products.
We start each project by understanding your business goals, the user's needs and the product requirements.
Then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of code our team will spend the necessary time needed to understand your product vision.
The outcome of ths scoping session is proposal or high-level statement of work.
based on your requirements, we can provide acomplete offering or just the pieces you need.
DESIGN
Our design practice offers a full range of services including brand strategy, interacting and visual design and user experience testing.
Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets build is what is needed.
DEVELOPMENT
All engineers are fluent in the latest enterprise, mobile and web development technologies
They collaborate with your team to write, and improve code on a dialy basis,using proven practices such as test-driven development and pair programming.
PRODUCT MANAGEMENT
Planning and development is iterative.Because we are constantly coding and testing, the products we build are always ready to go live.
This iterative process allows for changes as business requirements evolve
DELANI STUDIO
2019


menu
last updated 28 February 2021
Authors can use directory, group, listbox, menu, menubar, none, presentation, radiogroup, tablist, toolbar, or tree on the menu element.
directory
group
listbox
menubar
none
presentation
radiogroup
tablist
toolbar
tree


This is the web-site for Vmatch, a versatile software tool for eﬃciently solving large scale sequence matching tasks. Vmatch subsumes the software tool REPuter, but is much more general, with a very ﬂexible user interface, and improved space and time requirements. Here is a printable version of this HTML-page in PDF.
The Vmatch-manual gives many examples on how to use Vmatch. Here are the program’s most important features.
Usually, in a large scale matching problem, extensive portions of the sequences under consideration are static, i.e. they do not change much over time. Therefore it makes sense to preprocess this static data to extract information from it and to store this in a structured manner, allowing eﬃcient searches. Vmatch does exactly this: it preprocesses a set of sequences into an index structure. This is stored as a collection of several ﬁles constituting the persistent index. The index eﬃciently represents all substrings of the preprocessed sequences and, unlike many other sequence comparison tools, allows matching tasks to be solved in time, independent of the size of the index. Diﬀerent matching tasks require diﬀerent parts of the index, but only the required parts of the index are accessed during the matching process.
Most software tools for sequence analysis are restricted to DNA and/or protein sequences. In contrast, Vmatch can process sequences over any user deﬁned alphabet not larger than 250 symbols. Vmatch fully implements the concept of symbol mappings, denoting alphabet transformations. These allow the user to specify that diﬀerent characters in the input sequences should be considered identical in the matching process. This feature is used to group similar amino acids, for example.
Vmatch allows a multitude of diﬀerent matching tasks to be solved using the persistent index. Every matching task is basically characterized by (1) the kind of sequences to be matched, (2) the kind of matches sought, (3) additional constraints on the matches, and (4) the kind of postprocessing to be done with the matches.
In the standard case, Vmatch matches sequences over the same alphabet. Additionally, DNA sequences can be matched against a protein sequence index in all six reading frames. Finally, DNA sequences can be transformed in all six reading frames and compared against itself.
Where appropriate, Vmatch can compute the following kinds of matches, using state-of-the-art algorithms:
To compute degenerate substring matches or degenerate repeats, each kind of match (with the exception of tandem repeats and complete matches) can be taken as an exact seed and extended by either of two diﬀerent strategies:
S. Kurtz, J.V. Choudhuri, E. Ohlebusch, C. Schleiermacher, J. Stoye, and R. Giegerich. REPuter: The manifold applications of repeat analysis on a genomic scale. Nucleic Acids Res., 29(22):4633–4642, 2001 for repeat detection,
Matches can be selected according to their length, their E-value, their identity value, or match score.
In the standard case, a match is displayed as an alignment including positional information. Alternatively, a match can directly be postprocessed in diﬀerent ways:
M.I. Abouelhoda and E. Ohlebusch. A Local Chaining Algorithm and its Applications in Comparative Genomics. In Proc. 3rd Worksh. Algorithms in Bioinformatics (WABI 2003), number 2812 in Lecture Notes in Bioinformatics, pages 1–16. Springer-Verlag, 2003
N. Volfovsky, B.J. Haas, and S.L. Salzberg. A Clustering Method for Repeat Analysis in DNA Sequences. Genome Biology, 2(8):research0027.1–0027.11, 2001
Vmatch is based on enhanced suﬃx arrays described Abouelhoda, Kurtz & Ohlebusch, 2004. This data structure has been shown to be as powerful as suﬃx trees, with the advantage of a reduced space requirement and reduced processing time. Careful implementation of the algorithms and data structures incorporated in Vmatch have led to exceedingly fast and robust software, allowing very large sequence sets to be processed quickly. The 32-bit version of Vmatch can process up to 400 million symbols, if enough memory is available. For large server class machines (e.g. SUN-Sparc/Solaris, Intel Xeon/Linux, Compaq-Alpha/Tru64) Vmatch is available as a 64 bit version, enabling gigabytes of sequences to be processed.
The most common formats for input sequences (Fasta, Genbank, EMBL, and SWISSPROT) are accepted. The user does not have to specify the input format. It is automatically recognized. All input ﬁles can contain an arbitrary number of sequences. Gzipped compressed inputs are accepted.
Vmatch’s output can be parsed by other programs easily. Furthermore, several options allow for its customization. XML output is available and new output formats can easily be incorporated without changing Vmatch’s program code. Certain matches can easily be selected by user deﬁned criteria, without intermediate output and subsequent parsing.
Up until now we have referred to Vmatch as a collection of programs. In the following we use the same name, vmatch (in typewriter font), for the most important program in this collection. Besides vmatch, there are the following programs available:
Here is an overview of the dataflow in Vmatch.
There are several tools which are based on the persistent index of Vmatch:
J.V. Choudhuri, C. Schleiermacher, S. Kurtz, and R. Giegerich. Genalyzer: Interactive visualization of sequence similarities between entire genomes. Bioinformatics, 20:1964–1965, 2004
Genalyzer is not available any more.
M. Höhl, S. Kurtz, and E. Ohlebusch. Eﬃcient multiple genome alignment. Bioinformatics, 18(Suppl. 1):S312–S320, 2002
E. Ohlebusch and S. Kurtz. Space eﬃcient computation of rare maximal exact matches between multiple sequences. J. Comp. Biol., 15(4):357–377, 2008
Please contact Stefan Kurtz if you are interested in using Multimat.
M. Beckstette, R. Homann, R. Giegerich, and S. Kurtz. Fast index based algorithms and software for matching position speciﬁc scoring matrices. BMC Bioinformatics, 7:389, 2006
G. Gremme, V. Brendel, M.E. Sparks, and S. Kurtz. Engineering a software tool for gene prediction in higher organisms. Information and Software Technology, 47(15):965–978, 2005
We provide an annotated bibliography listing papers which applied Vmatch and shortly describe the tasks for which Vmatch was used. We omit our own papers. The references were collected by a search in Google scholar (which, as of Jan 2, 2016 retrieved 397 results.)
In this work Vmatch was used to a compute a non-redundant set from a large collection of protein sequences from Zea-Maize.
Similar applications are described in
Q. Dong, L. Roy, M. Freeling, V. Walbot, and V. Brendel. ZmDB, an integrated Database for Maize Genome Research. Nucleic Acids Res., 31:244–247, 2003.
S. Dash, J. Van Hemert, L. Hong, R. P. Wise, and J. A. Dickerson. PLEXdb: gene expression resources for plants and plant pathogens. Nucleic Acids Res., 40(Database issue):D1194–1201, Jan 2012
PLEXdb provides a Vmatch-based web-service to match PLEXdb probes.
This work describes PlantGDB, which provides a service called PatternSearch@PlantGDB for genome wide pattern searches in plant sequences. The service is based on Vmatch.
In this work Vmatch was used for three diﬀerent tasks:
M. Turmel, C. Otis, and C. Lemieux. The Chloroplast Genome Sequence of Chara vulgaris Sheds New Light into the Closest Green Algal Relatives of Land Plants. Molecular Biology and Evolution, 23:1324–1338, 2006
In these papers Vmatch was used to search and compare repeated elements in diﬀerent chloroplast DNA.
In this work Vmatch was used to compare target genes of the tomato Chs RNAi to a tomato gene index.
In this work Vmatch was used to search diﬀerent plant genomes for matches of length at least 20 with maximum of 2 mismatches. Here the fact that Vmatch is an exhaustive search tool is important.
In this work Vmatch was used to determine the presence of shared repeated elements of minimum length 30, with up to 10% mismatches using in diﬀerent sequence sets from the green alga Leptosira terrestris.
In this work Vmatch was used to map millions of short sequence reads to the A. Thaliana genome. Up to four mismatches and up to three indels were allowed in the matching process. The seed size was chosen to be 0. The reads were aligned using the best match strategy by iteratively increasing the the allowed number of mismatches and gaps at each round.
In this work Vmatch was used to map millions of short sequence reads to the A. Thaliana genome. Vmatch was part of a multi-step pipeline, combining a fast matching algorithm (Vmatch) for initial read mapping and an optimal alignment algorithm based on dynamic programming (QPALMA) for high quality detection of splice sites.
In this work Vmatch was used for motif searching in diﬀerent plant genomes.
In this work Vmatch was used to map unique consensus sequence tags to the maize reference genome.
In this work Vmatch was used to identify and cluster repeated sequences in Floydiella chloroplast genome.
In this work Vmatch was used to calculate direct and reverse complementary matches of length 17 bp or greater with edit distance 1 or less between ﬁve nuclear chromosomes and mitochondrial and chloroplast genome sequences.
In this work Vmatch was used to search probe sequences against the maize genome the cDNA sequences of the oﬃcial maize gene models.
In this work Vmatch was used for clustering sequences assembled from 454-reads of Thellungiella parvula, a model for the evolution of plant adaptation to extreme environments.
In this work Vmatch was used for grouping short reads into pools representing the same RAD tag.
In this work Vmatch was used for detecting and clustering repetitive sequences in diverse fern plastid genomes.
In this work Vmatch was used to precisely deﬁne the boundaries of all repeats with 100% sequence identity.
In this work Vmatch was used cluster sequences based on their six-frame translation.
In this work Vmatch was used to identify reciprocal best matches between the pigeonpea sequences and other legume sequences.
In this work Vmatch was used for assembly clustering and optimization of contigs for Neochloris oleoabundans (a Chlorophyceae class green microalgae).
In this work Vmatch was used to match reads against a repeat library to identity the content of the repetitive DNA per sequence read.
In this work Vmatch was used to align individual probes to representative gene models.
In this work Vmatch was used for performing exact searches with peptides against the ﬁltered proteome of A. thaliana.
In this work Vmatch was used to map RNAseq reads, allowing up to two mismatches (option -h 2) and generating maximal substring matches that are unique in some reference dataset (option -mum cand).
In this work Vmatch was used to identify terminal inverted repeats of length range 10-65 bp, ≥ 80% identity, maximum inter-TIR distance 650 bp in in genomes of epichloid fungal endophytes of grasses.
In this work Vmatch was used to match putative unique transcript sequence assemblies.
In this work Vmatch was used for reﬁning assemblies of Illumina reads in the context of a transcriptome project for plant virus vector Graminella nigrifrons.
In this work Vmatch was used for clustering repeats and for building a consensus repeat library in the context of genome and transcriptome projects for Azadirachta indica, a medicinal and pesticidal angiosperm.
In this work Vmatch was used to map unique consensus sequences tags to the maize reference genome and to predict targets of novel miRNAs.
In this work Vmatch was used for masking Long Terminal Repeats in the Maize Genome Sequence.
P. Hernandez, M. Martis, G. Dorado, M. Pfeifer, S. Galvez, S. Schaaf, N. Jouve, H. Šimková, M. Valarik, J. Dolezel, and K. F. Mayer. Next-generation sequencing and syntenic integration of ﬂow-sorted arms of wheat chromosome 4A exposes the chromosome structure and gene content. Plant J., 69(3):377–386, Feb 2012
R. Philippe, E. Paux, I. Bertin, P. Sourdille, F. Choulet, C. Laugier, H. Šimková, J. Šafář, A. Bellec, S. Vautrin, et al. A high density physical map of chromosome 1bl supports evolutionary studies, map-based cloning and sequencing in wheat. Genome Biol, 14(6):R64, 2013
Vmatch was used to mask repetitive DNA.
In this work Vmatch was used to cluster 40 010 assembled isotigs.
In this work Vmatch was used to preprocess short reads in the context of identifying mircoRNA targets in tomato fruit development.
In this work Vmatch was used in an all-vs-all comparison to bin contigs into loci based on a minimum of 200 bp sequence overlap in the context of transcriptome assembly for two Agave-species.
In this work Vmatch was used to align 454-reads to assembled isotigs for Ragweed pollen.
In this work Vmatch was used for comparing gene sets.
In this work Vmatch was used to detect repetitive DNA content of chromosomal survey sequences from the Rye genome.
D. Kopeckỳ, M. Martis, J. Číhalíková, E. Hřibová, J. Vrána, J. Bartoš, J. Kopecká, F. Cattonaro, Š. Stočes, Petr Novák, et al. Flow sorting and sequencing meadow fescue chromosome 4f. Plant Physiology, 163(3):1323–1337, 2013
D. Kopeckỳ, M Martis, J Číhalíková, E Hřibová, J Vrána, J Bartoš, et al. Genomics of meadow fescue chromosome 4f. Plant Physiol, 163:1323–1337, 2013
Vmatch was used for identifying repetitive DNA content in contigs of meadow fescue chromosome 4F assembled from Illumina short reads.
F. Jay, Y. Wang, A. Yu, L. Taconnat, S. Pelletier, V. Colot, J.-P. Renou, and O. Voinnet. Misregulation of AUXIN RESPONSE FACTOR 8 underlies the developmental abnormalities caused by three distinct viral silencing suppressors in Arabidopsis. PLoS Pathog, 7(5):e1002035–e1002035, 2011
X. Wang, D. Weigel, and L. M. Smith. Transposon variants and their eﬀects on gene expression in arabidopsis. PLoS Genet, 9(2):e1003255, 2013
Vmatch was used for mapping siRNA sequences to the Arabidopsis thaliana genome.
In this work Vmatch was used for the identiﬁcation of binding motifs.
In this work Vmatch was used for masking one sequence set with another and for mapping miRNA sequences of all plant species present in a reference database to whole-genome assembly of Spirodela polyrhiza.
In this work Vmatch was used for repeat detection.
In this work Vmatch was used to eliminate redundancies in assemblies of Illumina reads in the context of studying plant defense mechanisms.
In this work Vmatch was used for clustering to determine a non-redundant set of assembled contigs.
In this work Vmatch was used for clustering sequences based on their RT and aRNH domain.
In this work Vmatch was used for identifying repeats in contigs assembled from 454-reads.
In this work Vmatch was used for identifying inverted repeats in chloroplast genomes.
In this work Vmatch was used to identify contaminations and repetitive elements by comparison of mRNA sequences to vector, bacterial and repeat databases.
In this work Vmatch was used to cluster contigs of diﬀerent assemblies into groups of homologous sequences.
In this work Vmatch was used to identify inverted repeats in chloroplast genomes.
J.P. Fitch, S.N. Gardner, T.A. Kuczmarski, S. Kurtz, R. Myers, L.L. Ott, T.R. Slezak, E.A. Vitalis, A.T. Zemla, and P.M. McCready. Rapid development of nucleic acid diagnostics. Proceedings of the IEEE, 90(11):1708–1721, 2002
T. Slezak, T. Kuczmarski, L. Ott, C. Torres, D. Medeiros, J. Smith, B. Truitt, N. Mulakken, M. Lam, E. Vitalis, A. Zemla, C.E. Zhou, and S. Gardner. Comparative Genomics Tools Applied to Bioterrorism Defense. Brieﬁngs in Bioinformatics, 4(2):133–149, 2003
used Vmatch to detect unique substrings in large collection of DNA sequences. These unique substrings serve as signatures allowing for rapid and accurate diagnostics to identify pathogen bacteria and viruses. A similar application is reported in S.N. Gardner, T.A. Kuczmarski, E.A. Vitalis, and T.R. Slezak. Limitations of TaqMan PCR for Detecting Viral Pathogens I llustrated by Hepatitis A, B, C, and E Viruses and Human Immunodeﬁciency Virus. J. of Clinical Microbiology, 41(6):2417–2427, 2003.
In this work Vmatch was used to map signature tags to the genome of S. meliloti.
I. Grissa, G. Vergnaud, and C. Pourcel. CRISPRFinder: a web tool to identify clustered regularly interspaced short palindromic repeats. Nucleic Acids Res, 35(Web Server issue):W52–7, 2007
I. Grissa, G. Vergnaud, and C. Pourcel. The CRISPRdb database and tools to display CRISPRs and to generate dictionaries of spacers and repeats. BMC Bioinformatics, 8:172, 2007
used Vmatch to eﬃciently ﬁnd maximal repeats, as a ﬁrst step in localizing Clustered regularly interspaced short palindromic repeats (CRISPRs).
In this work Vmatch was used to map predicted sequences to information about Rho-independent terminators provided by a speciﬁc database.
In this work Vmatch was used to cluster DNA-sequences into families based on their six-frame translation.
In this work Vmatch was used to align 454-sequences to the Ecoli-genome and to cluster the sequences.
In this work Vmatch was used for detecting repeats in three bacterial species.
In this work Vmatch was used for masking repeats in 454-reads.
In this work Vmatch was used to identify distal primers.
In this work Vmatch was used for removing redundant transcripts assembled in an RNA-seq study based on Illumina reads for Heliothis virescens (tobacco budworm), infected with a virus.
In this work Vmatch was used to search unassembled Illumina reads of US and African strains of Xanthomonas oryzae for evidence of transcriptional activator-like eﬀector sequences.
D. A. Hysom, P. Naraghi-Arani, M. Elsheikh, A. C. Carrillo, P. L. Williams, and S. N. Gardner. Skip the alignment: degenerate, multiplex primer and probe design using K-mer matching instead of alignments. PLoS ONE, 7(4):e34560, 2012
In this context Vmatch used for selecting multiplex compatible, degenerate primers and probes to detect diverse targets such as viruses.
In this work Vmatch was used to identify redundant contigs from de novo exome assemblies.
In this work Vmatch was used to identify reads which have no common 20-mers with other reads in a context of a marine viral metagenome project.
In this work Vmatch was used for clustering potential complete Endogenous retroviruses of the bat Myotis lucifugus into subfamilies.
B. L. Hurwitz, A. H. Westveld, J. R. Brum, and M. B. Sullivan. Modeling ecological drivers in marine viral communities using comparative metagenomics and network analyses. Proc. Natl. Acad. Sci. U.S.A., 111(29):10714–10719, Jul 2014
B. L. Hurwitz, L. Deng, B. T. Poulos, and M. B. Sullivan. Evaluation of methods to concentrate and purify ocean virus communities through comparative, replicated metagenomics. Environ. Microbiol., 15(5):1428–1440, May 2013
J. R. Brum, B. L. Hurwitz, O. Schoﬁeld, H. W. Ducklow, and M. B. Sullivan. Seasonal time bombs: dominant temperate viruses aﬀect southern ocean microbial dynamics. The ISME journal, 2015
Vmatch was used for k-mer analysis in the context of diﬀerent marine metagenome projects.
In this work Vmatch was used for k-mer analysis in the context of microbial communities.
In this work Vmatch was used in an iterative scheme to construct contigs from reads associated with resistance genes in the context of a shotgun metagenome project.
In this work Vmatch was used to match probe candidate sequences against viral sequences and the human genmome sequence.
In this work Vmatch was used to identify the species of the Streptococcaceae by comparing with Silva 115 release 16S reference sequence database.
J. van Helden, A.F. Rios, and J. Collado-Vides. Discovering Regulatory Elements in Non-Coding Sequences by Analysis of Spaced Dyads. Nucleic Acids Res., 28(8):1808–1818, 2000
and developed by Jacques van Helden use Vmatch to purge sequences before computing sequence statistics. Similar applications are reported in the following papers:
R.J.M. Hulzink, H. Weerdesteyn, A.F. Croes, M.M.A. Gerats, T. van Herpen, and J. van Helden. In Silico Identiﬁcation of Putative Regulatory Sequence Elements in the 5’-Untranslated Region of Genes That Are Expressed during Male Gametogenesis Gene Co-regulation. Plant Physiol., 132:75–83, 2003
N. Simonis, S.J. Wodak, G.N. Cohen, and J van Helden. Combining Pattern Discovery and Discriminant Analysis to Predict Gene Co-regulation. Bioinformatics, 20:2370–2379, 2004
N. Simonis, J. van Helden, G.N. Cohen, and S.J. Wodak. Transcriptional regulation of protein complexes in yeast. Genome Biology, 5:R33, 2004.
E. Coward, S.A. Haas, and M. Vingron. SpliceNest: Visualization of Gene Structure and Alternative Splicing Based on EST Clusters. Trends Genet., 18(1):53–55, 2002
computes gene indices and uses Vmatch to map clustered sequences to large genomes.
J. Krüger, A. Sczyrba, S. Kurtz, and R. Giegerich. e2g: An interactive web-based server for eﬃciently mapping large EST and cDNA sets to genomic sequences. Nucleic Acids Res., 32:W301–W304, 2004.
In this work Vmatch was used to (1) match 130 861 vector-trimmed sequences against the maize repeat database, and (2) to cluster near-identical sequences.
T. Dezulian, M. Schaefer, R. Wiese, D. Weigel, and D.H. Huson. CrossLink: visualization and exploration of sequence relationships between (micro) RNAs. Nucleic Acids Res., 34(Web Server Issue):W400–W404, 200
is a versatile computational tool which aids in visualizing relationships between RNA sequences (particularly between ncRNAs and their putative target transcripts) in an intuitive and accessible way. Besides BLAST, CrossLink uses Vmatch to reveal the sequence relationships to be visualized.
R. Arnold, T. Rattei, P. Tischler, M.-D. Truong, V. Stümpﬂen, and H.W. Mewes. SIMAP - The similarity matrix of proteins. Bioinformatics, 21(Suppl. 2):ii42–ii46, 2005
used Vmatch to locate the sequences in SIMAP which are similar to a given query. This is much faster than running BLAST.
In this work Vmatch was used to compute similarities between genomes, which are then visualized by the program DNAVis.
P.N. Seibel, J. Krüger, S. Hartmeier, K. Schwarzer, K. Löwenthal, H. Mersch, T. Dandekar, and R. Giegerich. XML schemas for common bioinformatic data types and their application in workﬂow systems. BMC Bioinformatics, 7:490, 2006
Seidel et. al. describe methods for creating web-services and give examples which, among other tools, also integrate Vmatch.
J. Krumsiek, R. Arnold, and T. Rattei. Gepard: a rapid and sensitive tool for creating dotplots on genome scale. Bioinformatics, 23(8):1026–8, 2007
uses mkvtree to compute enhanced suﬃx arrays.
J. Martin, V. M. Bruno, Z. Fang, X. Meng, M. Blow, T. Zhang, G. Sherlock, M. Snyder, and Z. Wang. Rnnotator: an automated de novo transcriptome assembly pipeline from stranded RNA-Seq reads. BMC Genomics, 11:663, 2010
C. M. Lushbough, D. M. Jennewein, and V. Brendel. The bioextract server: a web-based bioinformatic workﬂow platform. Nucleic acids research, 39(suppl 2):W528–W532, 2011
uses Vmatch to remove duplicated sequences.
In this work Vmatch was used for removing duplicates in BlastP results. This use is part of a workﬂow in myexperiment.
In this work Vmatch was used for probe/primer search functionality in the probeBase database.
In this work Vmatch was used to reveal long repeats inside human chromosome 1 and long similar regions between human chromosome 1 and all other human chromosomes.
In this work Vmatch was used for Vector screening.
In this work Vmatch was used for mapping short reads.
In this work Vmatch was used for matching reads to sets of RNA sequences and the Human genome.
In this work Vmatch was used to uniquely map miRNAs against the human genome.
In this work Vmatch was used to determine the positions of CAGE tags on the human genome.
In this work Vmatch was used to align sections of reads against RefSeq mRNA exon sequences.
In this work Vmatch was used to align sets of genes.
In this work Vmatch was used to determine the positions of CAGE tags on the human genome.
In this work Vmatch was used to cluster 317 242 EST and cDNA sequences from Xenopus laevis. Vmatch was chosen for the following reasons:
In this work Vmatch was used to cluster EST-sequences of Xenopus laevis.
In this work Vmatch was used to search exact repeats in the Macronuclear Genome Sequence of the Ciliate Tetrahymena thermophila.
In this work Vmatch was used for mapping
In this work Vmatch was used to search small RNA signatures in entire miRNA gene sequences for Arabidopsis and rice.
In this work Vmatch was used to map small RNA data sets onto the corresponding reference genomes for diﬀerent model organisms.
In this work Vmatch was used for mapping Illumina reads to the mouse genome.
In this work Vmatch was used for redundancy removal in the context of transcriptome assembly of a keelworm species.
In this work Vmatch was used to remove redundant contigs in a genome project of four Aureobasidium pullulans varieties.
In this work Vmatch was used for merging assemblies of Illumina sequenced cDNA.
In this work Vmatch was used to combine and scaﬀold contigs.
Total number of usages: 108
Vmatch is available for download in executable format for the following platforms:
Vmatch was developed since May 2000 by Stefan Kurtz, a professor of Computer Science at the Center for Bioinformatics, University of Hamburg, Germany.
Important Documents


Vinnie Jones duets live with Madness after The X Factor: Celebrity performance
Vinnie Jones joined Madness live on stage after performing a medley of their hits on The X Factor: Celebrity in memory of his late wife Tanya.
The footballing legend was watching the iconic ska band from the balcony at their show at the Electric Ballroom in Camden when the band invited him up on the stage to give the audience a little sing-song.
As X Factor viewers will attest to, the X-men star clearly loves a bit of Madness, so was well up for joining lead singer Graham ‘Suggs’ McPherson.
Advertisement Advertisement
‘Let’s get Vinnie Jones down!’ the singer said to the audience before the two hugged and danced on stage.
Vinnie previously tugged at viewers’ heart-strings as he took to the stage two weeks ago with a rendition of hits It Must Be Love and House of Fun.
During his rendition, he tenderly pointed up to the sky and opened his arms out wide.
The lyrics of the song read: ‘I never thought I’d miss you, half as much as I do, and I never thought I’d feel this way, the way I feel, about you.
‘As soon as I wake up, every night, every day, I know that it’s you I need.’
The Lock, Stock and Two Smoking Barells star then went straight in to a spirited rendition of another Madness classic; the ska party anthem House of Fun.
Going from performing a cover to singing with actual Madness in just under two weeks? That’s a flex if ever we saw one.
However, his time on X Factor hasn’t been plain sailing. This weekend, the 54 year-old attempted to quit the show last weekend when he found himself in the sing-off between former Glee star Kevin McHale.
Advertisement Advertisement
‘Simon, I feel like I’ve had a fantastic time, I’ve really enjoyed it. It’s been everything I’ve need since my wife’s passing,’ Vinnie began.
This guy is a real singer, I think he can win it. For his career, I’d like to step down so that he can go through.’
Unfortunately, however, Simon Cowell was having absolutely none of it and sent Kevin packing.
It has been confirmed that when The X Factor: Celebrity returns for its live semi-final this weekend, the former midfielder will be participating as a contestant.
The X Factor: Celebrity returns this Saturday at 7.40pm on ITV.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


16 09:58:21, rpc:306] RPC error response: rpc:275] lp_commands:74] lp_coins:463] utxo:1863] Failed to connect to at least 1 of [ElectrumRpcRequest { url: "electroncash.dk:50001", protocol: TCP, disable_cert_verification: false }, ElectrumRpcRequest { url: "electron-cash.dragon.zone:50001", protocol: TCP, disable_cert_verification: false }, ElectrumRpcRequest { url: "bch.imaginary.cash:50001", protocol: TCP, disable_cert_verification: false }] in 5 seconds.


public class LIAPIGeoZoneServiceApi
extends java.lang.Object
| Constructor and Description |
|---|
LIAPIGeoZoneServiceApi() |
LIAPIGeoZoneServiceApi(ApiClient apiClient) |
| Modifier and Type | Method and Description |
|---|---|
ApiClient |
getApiClient() |
BasicBoundaryAddress |
getBasicBoundaryByAddress(java.lang.String address,
java.lang.String distance,
java.lang.String country,
java.lang.String distanceUnit,
java.lang.String resolution,
java.lang.String responseSrs)
Gets Basic Boundary by Address
Gets Basic Boundary by Address
|
com.squareup.okhttp.Call |
getBasicBoundaryByAddressAsync(java.lang.String address,
java.lang.String distance,
java.lang.String country,
java.lang.String distanceUnit,
java.lang.String resolution,
java.lang.String responseSrs,
ApiCallback<BasicBoundaryAddress> callback)
Gets Basic Boundary by Address (asynchronously)
Gets Basic Boundary by Address
|
ApiResponse<BasicBoundaryAddress> |
getBasicBoundaryByAddressWithHttpInfo(java.lang.String address,
java.lang.String distance,
java.lang.String country,
java.lang.String distanceUnit,
java.lang.String resolution,
java.lang.String responseSrs)
Gets Basic Boundary by Address
Gets Basic Boundary by Address
|
BasicBoundary |
getBasicBoundaryByLocation(java.lang.String latitude,
java.lang.String longitude,
java.lang.String distance,
java.lang.String distanceUnit,
java.lang.String resolution,
java.lang.String responseSrs,
java.lang.String srsName)
Gets Basic Boundary by Location
Gets Basic Boundary by Location
|
com.squareup.okhttp.Call |
getBasicBoundaryByLocationAsync(java.lang.String latitude,
java.lang.String longitude,
java.lang.String distance,
java.lang.String distanceUnit,
java.lang.String resolution,
java.lang.String responseSrs,
java.lang.String srsName,
ApiCallback<BasicBoundary> callback)
Gets Basic Boundary by Location (asynchronously)
Gets Basic Boundary by Location
|
ApiResponse<BasicBoundary> |
getBasicBoundaryByLocationWithHttpInfo(java.lang.String latitude,
java.lang.String longitude,
java.lang.String distance,
java.lang.String distanceUnit,
java.lang.String resolution,
java.lang.String responseSrs,
java.lang.String srsName)
Gets Basic Boundary by Location
Gets Basic Boundary by Location
|
PoiBoundary |
getPOIBoundaryByAddress(java.lang.String address,
java.lang.String categoryCode,
java.lang.String sicCode,
java.lang.String naicsCode)
Get Point of Interests Boundary by Address
Gets Point of Interests Boundary by Address
|
com.squareup.okhttp.Call |
getPOIBoundaryByAddressAsync(java.lang.String address,
java.lang.String categoryCode,
java.lang.String sicCode,
java.lang.String naicsCode,
ApiCallback<PoiBoundary> callback)
Get Point of Interests Boundary by Address (asynchronously)
Gets Point of Interests Boundary by Address
|
POIBoundaryResponse |
getPOIBoundaryByAddressBatch(POIBoundaryAddressRequest body)
Batch method for getting Point of Interests Boundary by Address
Batch method for getting Point of Interests Boundary by Address
|
com.squareup.okhttp.Call |
getPOIBoundaryByAddressBatchAsync(POIBoundaryAddressRequest body,
ApiCallback<POIBoundaryResponse> callback)
Batch method for getting Point of Interests Boundary by Address (asynchronously)
Batch method for getting Point of Interests Boundary by Address
|
ApiResponse<POIBoundaryResponse> |
getPOIBoundaryByAddressBatchWithHttpInfo(POIBoundaryAddressRequest body)
Batch method for getting Point of Interests Boundary by Address
Batch method for getting Point of Interests Boundary by Address
|
ApiResponse<PoiBoundary> |
getPOIBoundaryByAddressWithHttpInfo(java.lang.String address,
java.lang.String categoryCode,
java.lang.String sicCode,
java.lang.String naicsCode)
Get Point of Interests Boundary by Address
Gets Point of Interests Boundary by Address
|
PoiBoundary |
getPOIBoundaryByLocation(java.lang.String latitude,
java.lang.String longitude,
java.lang.String categoryCode,
java.lang.String sicCode,
java.lang.String naicsCode)
Get Point of Interests Boundary by Location
Get Point of Interests Boundary by Location
|
com.squareup.okhttp.Call |
getPOIBoundaryByLocationAsync(java.lang.String latitude,
java.lang.String longitude,
java.lang.String categoryCode,
java.lang.String sicCode,
java.lang.String naicsCode,
ApiCallback<PoiBoundary> callback)
Get Point of Interests Boundary by Location (asynchronously)
Get Point of Interests Boundary by Location
|
POIBoundaryResponse |
getPOIBoundaryByLocationBatch(POIBoundaryLocationRequest body)
Batch method for getting Point of Interests Boundary by Location
Batch method for getting Point of Interests Boundary by Location
|
com.squareup.okhttp.Call |
getPOIBoundaryByLocationBatchAsync(POIBoundaryLocationRequest body,
ApiCallback<POIBoundaryResponse> callback)
Batch method for getting Point of Interests Boundary by Location (asynchronously)
Batch method for getting Point of Interests Boundary by Location
|
ApiResponse<POIBoundaryResponse> |
getPOIBoundaryByLocationBatchWithHttpInfo(POIBoundaryLocationRequest body)
Batch method for getting Point of Interests Boundary by Location
Batch method for getting Point of Interests Boundary by Location
|
ApiResponse<PoiBoundary> |
getPOIBoundaryByLocationWithHttpInfo(java.lang.String latitude,
java.lang.String longitude,
java.lang.String categoryCode,
java.lang.String sicCode,
java.lang.String naicsCode)
Get Point of Interests Boundary by Location
Get Point of Interests Boundary by Location
|
TravelBoundaries |
getTravelBoundaryByDistance(java.lang.String costs,
java.lang.String point,
java.lang.String address,
java.lang.String costUnit,
java.lang.String db,
java.lang.String country,
java.lang.String maxOffroadDistance,
java.lang.String maxOffroadDistanceUnit,
java.lang.String destinationSrs,
java.lang.String majorRoads,
java.lang.String returnHoles,
java.lang.String returnIslands,
java.lang.String simplificationFactor,
java.lang.String bandingStyle,
java.lang.String historicTrafficTimeBucket,
java.lang.String defaultAmbientSpeed,
java.lang.String ambientSpeedUnit)
Gets travel Boundary by Distance
Returns the travel boundary based on travel distance.
|
com.squareup.okhttp.Call |
getTravelBoundaryByDistanceAsync(java.lang.String costs,
java.lang.String point,
java.lang.String address,
java.lang.String costUnit,
java.lang.String db,
java.lang.String country,
java.lang.String maxOffroadDistance,
java.lang.String maxOffroadDistanceUnit,
java.lang.String destinationSrs,
java.lang.String majorRoads,
java.lang.String returnHoles,
java.lang.String returnIslands,
java.lang.String simplificationFactor,
java.lang.String bandingStyle,
java.lang.String historicTrafficTimeBucket,
java.lang.String defaultAmbientSpeed,
java.lang.String ambientSpeedUnit,
ApiCallback<TravelBoundaries> callback)
Gets travel Boundary by Distance (asynchronously)
Returns the travel boundary based on travel distance.
|
ApiResponse<TravelBoundaries> |
getTravelBoundaryByDistanceWithHttpInfo(java.lang.String costs,
java.lang.String point,
java.lang.String address,
java.lang.String costUnit,
java.lang.String db,
java.lang.String country,
java.lang.String maxOffroadDistance,
java.lang.String maxOffroadDistanceUnit,
java.lang.String destinationSrs,
java.lang.String majorRoads,
java.lang.String returnHoles,
java.lang.String returnIslands,
java.lang.String simplificationFactor,
java.lang.String bandingStyle,
java.lang.String historicTrafficTimeBucket,
java.lang.String defaultAmbientSpeed,
java.lang.String ambientSpeedUnit)
Gets travel Boundary by Distance
Returns the travel boundary based on travel distance.
|
TravelBoundaries |
getTravelBoundaryByTime(java.lang.String costs,
java.lang.String point,
java.lang.String address,
java.lang.String costUnit,
java.lang.String db,
java.lang.String country,
java.lang.String maxOffroadDistance,
java.lang.String maxOffroadDistanceUnit,
java.lang.String destinationSrs,
java.lang.String majorRoads,
java.lang.String returnHoles,
java.lang.String returnIslands,
java.lang.String simplificationFactor,
java.lang.String bandingStyle,
java.lang.String historicTrafficTimeBucket,
java.lang.String defaultAmbientSpeed,
java.lang.String ambientSpeedUnit)
Gets travel Boundary by Time
Travel boundary based on travel time.
|
com.squareup.okhttp.Call |
getTravelBoundaryByTimeAsync(java.lang.String costs,
java.lang.String point,
java.lang.String address,
java.lang.String costUnit,
java.lang.String db,
java.lang.String country,
java.lang.String maxOffroadDistance,
java.lang.String maxOffroadDistanceUnit,
java.lang.String destinationSrs,
java.lang.String majorRoads,
java.lang.String returnHoles,
java.lang.String returnIslands,
java.lang.String simplificationFactor,
java.lang.String bandingStyle,
java.lang.String historicTrafficTimeBucket,
java.lang.String defaultAmbientSpeed,
java.lang.String ambientSpeedUnit,
ApiCallback<TravelBoundaries> callback)
Gets travel Boundary by Time (asynchronously)
Travel boundary based on travel time.
|
ApiResponse<TravelBoundaries> |
getTravelBoundaryByTimeWithHttpInfo(java.lang.String costs,
java.lang.String point,
java.lang.String address,
java.lang.String costUnit,
java.lang.String db,
java.lang.String country,
java.lang.String maxOffroadDistance,
java.lang.String maxOffroadDistanceUnit,
java.lang.String destinationSrs,
java.lang.String majorRoads,
java.lang.String returnHoles,
java.lang.String returnIslands,
java.lang.String simplificationFactor,
java.lang.String bandingStyle,
java.lang.String historicTrafficTimeBucket,
java.lang.String defaultAmbientSpeed,
java.lang.String ambientSpeedUnit)
Gets travel Boundary by Time
Travel boundary based on travel time.
|
void |
setApiClient(ApiClient apiClient) |
public LIAPIGeoZoneServiceApi()
public LIAPIGeoZoneServiceApi(ApiClient apiClient)
public ApiClient getApiClient()
public void setApiClient(ApiClient apiClient)
public BasicBoundaryAddress getBasicBoundaryByAddress(java.lang.String address, java.lang.String distance, java.lang.String country, java.lang.String distanceUnit, java.lang.String resolution, java.lang.String responseSrs) throws ApiException
address
- Address around which Basic Boundary is requested (required)distance
- This is width of the buffer (in a complete circular buffer, it would be radius of the buffer). This has to be a positive number. (required)country
- Three digit ISO country code (optional, default to USA)distanceUnit
- Longitude around which Basic Boundary is requested (optional, default to feet)resolution
- This is resolution of the buffer. Curves generated in buffer are approximated by line segments and it is measured in segments per circle. The higher the resolution, the smoother the curves of the buffer but more points would be required in the boundary geometry. Number greater than 0 and in multiple of 4. If not in 4, then it is approximated to nearest multiple of 4. (optional)responseSrs
- The spatial reference system to express the response in. By default, it would be epsg:4326 (optional, default to epsg:4326)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic ApiResponse<BasicBoundaryAddress> getBasicBoundaryByAddressWithHttpInfo(java.lang.String address, java.lang.String distance, java.lang.String country, java.lang.String distanceUnit, java.lang.String resolution, java.lang.String responseSrs) throws ApiException
address
- Address around which Basic Boundary is requested (required)distance
- This is width of the buffer (in a complete circular buffer, it would be radius of the buffer). This has to be a positive number. (required)country
- Three digit ISO country code (optional, default to USA)distanceUnit
- Longitude around which Basic Boundary is requested (optional, default to feet)resolution
- This is resolution of the buffer. Curves generated in buffer are approximated by line segments and it is measured in segments per circle. The higher the resolution, the smoother the curves of the buffer but more points would be required in the boundary geometry. Number greater than 0 and in multiple of 4. If not in 4, then it is approximated to nearest multiple of 4. (optional)responseSrs
- The spatial reference system to express the response in. By default, it would be epsg:4326 (optional, default to epsg:4326)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic com.squareup.okhttp.Call getBasicBoundaryByAddressAsync(java.lang.String address, java.lang.String distance, java.lang.String country, java.lang.String distanceUnit, java.lang.String resolution, java.lang.String responseSrs, ApiCallback<BasicBoundaryAddress> callback) throws ApiException
address
- Address around which Basic Boundary is requested (required)distance
- This is width of the buffer (in a complete circular buffer, it would be radius of the buffer). This has to be a positive number. (required)country
- Three digit ISO country code (optional, default to USA)distanceUnit
- Longitude around which Basic Boundary is requested (optional, default to feet)resolution
- This is resolution of the buffer. Curves generated in buffer are approximated by line segments and it is measured in segments per circle. The higher the resolution, the smoother the curves of the buffer but more points would be required in the boundary geometry. Number greater than 0 and in multiple of 4. If not in 4, then it is approximated to nearest multiple of 4. (optional)responseSrs
- The spatial reference system to express the response in. By default, it would be epsg:4326 (optional, default to epsg:4326)callback
- The callback to be executed when the API call finishesApiException
- If fail to process the API call, e.g. serializing the request body objectpublic BasicBoundary getBasicBoundaryByLocation(java.lang.String latitude, java.lang.String longitude, java.lang.String distance, java.lang.String distanceUnit, java.lang.String resolution, java.lang.String responseSrs, java.lang.String srsName) throws ApiException
latitude
- Latitude around which Basic Boundary is requested (required)longitude
- Longitude around which Basic Boundary is requested (required)distance
- This is width of the buffer (in a complete circular buffer, it would be radius of the buffer). This has to be a positive number. (required)distanceUnit
- Longitude around which Basic Boundary is requested (optional, default to feet)resolution
- This is resolution of the buffer. Curves generated in buffer are approximated by line segments and it is measured in segments per circle. The higher the resolution, the smoother the curves of the buffer but more points would be required in the boundary geometry. Number greater than 0 and in multiple of 4. If not in 4, then it is approximated to nearest multiple of 4. (optional)responseSrs
- The spatial reference system to express the response in. By default, it would be epsg:4326 (optional, default to epsg:4326)srsName
- The spatial reference system for input. By default, it would be epsg:4326 (optional, default to epsg:4326)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic ApiResponse<BasicBoundary> getBasicBoundaryByLocationWithHttpInfo(java.lang.String latitude, java.lang.String longitude, java.lang.String distance, java.lang.String distanceUnit, java.lang.String resolution, java.lang.String responseSrs, java.lang.String srsName) throws ApiException
latitude
- Latitude around which Basic Boundary is requested (required)longitude
- Longitude around which Basic Boundary is requested (required)distance
- This is width of the buffer (in a complete circular buffer, it would be radius of the buffer). This has to be a positive number. (required)distanceUnit
- Longitude around which Basic Boundary is requested (optional, default to feet)resolution
- This is resolution of the buffer. Curves generated in buffer are approximated by line segments and it is measured in segments per circle. The higher the resolution, the smoother the curves of the buffer but more points would be required in the boundary geometry. Number greater than 0 and in multiple of 4. If not in 4, then it is approximated to nearest multiple of 4. (optional)responseSrs
- The spatial reference system to express the response in. By default, it would be epsg:4326 (optional, default to epsg:4326)srsName
- The spatial reference system for input. By default, it would be epsg:4326 (optional, default to epsg:4326)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic com.squareup.okhttp.Call getBasicBoundaryByLocationAsync(java.lang.String latitude, java.lang.String longitude, java.lang.String distance, java.lang.String distanceUnit, java.lang.String resolution, java.lang.String responseSrs, java.lang.String srsName, ApiCallback<BasicBoundary> callback) throws ApiException
latitude
- Latitude around which Basic Boundary is requested (required)longitude
- Longitude around which Basic Boundary is requested (required)distance
- This is width of the buffer (in a complete circular buffer, it would be radius of the buffer). This has to be a positive number. (required)distanceUnit
- Longitude around which Basic Boundary is requested (optional, default to feet)resolution
- This is resolution of the buffer. Curves generated in buffer are approximated by line segments and it is measured in segments per circle. The higher the resolution, the smoother the curves of the buffer but more points would be required in the boundary geometry. Number greater than 0 and in multiple of 4. If not in 4, then it is approximated to nearest multiple of 4. (optional)responseSrs
- The spatial reference system to express the response in. By default, it would be epsg:4326 (optional, default to epsg:4326)srsName
- The spatial reference system for input. By default, it would be epsg:4326 (optional, default to epsg:4326)callback
- The callback to be executed when the API call finishesApiException
- If fail to process the API call, e.g. serializing the request body objectpublic PoiBoundary getPOIBoundaryByAddress(java.lang.String address, java.lang.String categoryCode, java.lang.String sicCode, java.lang.String naicsCode) throws ApiException
address
- Address around which POI Boundary is requested (required)categoryCode
- Specific Category/Categories Codes for the desired POIs. Accepts a mix of 4 digit (Top Category), 6 digit (Second-Level Category) and 11 digit (Low-Level Category) Category Codes. (optional)sicCode
- Specify starting digits or full sic code to filter the response (optional)naicsCode
- Will accept naicsCode to filter POIs in results. Max 10 allowed. (optional)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic ApiResponse<PoiBoundary> getPOIBoundaryByAddressWithHttpInfo(java.lang.String address, java.lang.String categoryCode, java.lang.String sicCode, java.lang.String naicsCode) throws ApiException
address
- Address around which POI Boundary is requested (required)categoryCode
- Specific Category/Categories Codes for the desired POIs. Accepts a mix of 4 digit (Top Category), 6 digit (Second-Level Category) and 11 digit (Low-Level Category) Category Codes. (optional)sicCode
- Specify starting digits or full sic code to filter the response (optional)naicsCode
- Will accept naicsCode to filter POIs in results. Max 10 allowed. (optional)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic com.squareup.okhttp.Call getPOIBoundaryByAddressAsync(java.lang.String address, java.lang.String categoryCode, java.lang.String sicCode, java.lang.String naicsCode, ApiCallback<PoiBoundary> callback) throws ApiException
address
- Address around which POI Boundary is requested (required)categoryCode
- Specific Category/Categories Codes for the desired POIs. Accepts a mix of 4 digit (Top Category), 6 digit (Second-Level Category) and 11 digit (Low-Level Category) Category Codes. (optional)sicCode
- Specify starting digits or full sic code to filter the response (optional)naicsCode
- Will accept naicsCode to filter POIs in results. Max 10 allowed. (optional)callback
- The callback to be executed when the API call finishesApiException
- If fail to process the API call, e.g. serializing the request body objectpublic POIBoundaryResponse getPOIBoundaryByAddressBatch(POIBoundaryAddressRequest body) throws ApiException
body
- (optional)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic ApiResponse<POIBoundaryResponse> getPOIBoundaryByAddressBatchWithHttpInfo(POIBoundaryAddressRequest body) throws ApiException
body
- (optional)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic com.squareup.okhttp.Call getPOIBoundaryByAddressBatchAsync(POIBoundaryAddressRequest body, ApiCallback<POIBoundaryResponse> callback) throws ApiException
body
- (optional)callback
- The callback to be executed when the API call finishesApiException
- If fail to process the API call, e.g. serializing the request body objectpublic PoiBoundary getPOIBoundaryByLocation(java.lang.String latitude, java.lang.String longitude, java.lang.String categoryCode, java.lang.String sicCode, java.lang.String naicsCode) throws ApiException
latitude
- Latitude around which POI Boundary is requested (required)longitude
- Longitude around which POI Boundary is requested (required)categoryCode
- Specific Category/Categories Codes for the desired POIs. Accepts a mix of 4 digit (Top Category), 6 digit (Second-Level Category) and 11 digit (Low-Level Category) Category Codes (optional)sicCode
- Specify starting digits or full sic code to filter the response (optional)naicsCode
- Will accept naicsCode to filter POIs in results. Max 10 allowed. (optional)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic ApiResponse<PoiBoundary> getPOIBoundaryByLocationWithHttpInfo(java.lang.String latitude, java.lang.String longitude, java.lang.String categoryCode, java.lang.String sicCode, java.lang.String naicsCode) throws ApiException
latitude
- Latitude around which POI Boundary is requested (required)longitude
- Longitude around which POI Boundary is requested (required)categoryCode
- Specific Category/Categories Codes for the desired POIs. Accepts a mix of 4 digit (Top Category), 6 digit (Second-Level Category) and 11 digit (Low-Level Category) Category Codes (optional)sicCode
- Specify starting digits or full sic code to filter the response (optional)naicsCode
- Will accept naicsCode to filter POIs in results. Max 10 allowed. (optional)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic com.squareup.okhttp.Call getPOIBoundaryByLocationAsync(java.lang.String latitude, java.lang.String longitude, java.lang.String categoryCode, java.lang.String sicCode, java.lang.String naicsCode, ApiCallback<PoiBoundary> callback) throws ApiException
latitude
- Latitude around which POI Boundary is requested (required)longitude
- Longitude around which POI Boundary is requested (required)categoryCode
- Specific Category/Categories Codes for the desired POIs. Accepts a mix of 4 digit (Top Category), 6 digit (Second-Level Category) and 11 digit (Low-Level Category) Category Codes (optional)sicCode
- Specify starting digits or full sic code to filter the response (optional)naicsCode
- Will accept naicsCode to filter POIs in results. Max 10 allowed. (optional)callback
- The callback to be executed when the API call finishesApiException
- If fail to process the API call, e.g. serializing the request body objectpublic POIBoundaryResponse getPOIBoundaryByLocationBatch(POIBoundaryLocationRequest body) throws ApiException
body
- (optional)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic ApiResponse<POIBoundaryResponse> getPOIBoundaryByLocationBatchWithHttpInfo(POIBoundaryLocationRequest body) throws ApiException
body
- (optional)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic com.squareup.okhttp.Call getPOIBoundaryByLocationBatchAsync(POIBoundaryLocationRequest body, ApiCallback<POIBoundaryResponse> callback) throws ApiException
body
- (optional)callback
- The callback to be executed when the API call finishesApiException
- If fail to process the API call, e.g. serializing the request body objectpublic TravelBoundaries getTravelBoundaryByDistance(java.lang.String costs, java.lang.String point, java.lang.String address, java.lang.String costUnit, java.lang.String db, java.lang.String country, java.lang.String maxOffroadDistance, java.lang.String maxOffroadDistanceUnit, java.lang.String destinationSrs, java.lang.String majorRoads, java.lang.String returnHoles, java.lang.String returnIslands, java.lang.String simplificationFactor, java.lang.String bandingStyle, java.lang.String historicTrafficTimeBucket, java.lang.String defaultAmbientSpeed, java.lang.String ambientSpeedUnit) throws ApiException
costs
- Travel distance(s) (required)point
- Starting point from where the travel boundary is calculated. Point in 'Lat,Long,coordsys' format (optional)address
- Starting address from where the travel boundary is calculated. (optional)costUnit
- Travel distance such as ft(Foot), km(Kilometer), mi(Mile), m(Meter) or yd(Yard). (optional, default to m)db
- Mode of commute. (optional, default to driving)country
- Three digit ISO country code. (optional, default to USA)maxOffroadDistance
- Maximum distance to allow travel off the road network. (optional)maxOffroadDistanceUnit
- MaxOffroad Distance Unit such as ft(Foot), km(Kilometer), mi(Mile), m(Meter) or yd(Yard). (optional)destinationSrs
- Desired coordinate system of the travel boundary. (optional)majorRoads
- Whether to include all roads in the calculation or just major roads. (optional, default to false)returnHoles
- Whether to return holes, which are areas within the larger boundary that cannot be reached within the desired distance. (optional, default to false)returnIslands
- Whether to return islands, which are small areas outside the main boundary that can be reached within the desired distance. (optional, default to false)simplificationFactor
- Number between 0.0 and 1.0 where 0.0 is very simple and 1.0 means the most complex. (optional, default to 0.5)bandingStyle
- Style of banding to be used in the result. (optional, default to Donut)historicTrafficTimeBucket
- Whether routing calculation uses the historic traffic speeds. (optional, default to None)defaultAmbientSpeed
- The speed to travel when going off a network road to find the travel boundary (for all road types). (optional)ambientSpeedUnit
- The unit of measure to use to calculate the ambient speed. (optional, default to MPH)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic ApiResponse<TravelBoundaries> getTravelBoundaryByDistanceWithHttpInfo(java.lang.String costs, java.lang.String point, java.lang.String address, java.lang.String costUnit, java.lang.String db, java.lang.String country, java.lang.String maxOffroadDistance, java.lang.String maxOffroadDistanceUnit, java.lang.String destinationSrs, java.lang.String majorRoads, java.lang.String returnHoles, java.lang.String returnIslands, java.lang.String simplificationFactor, java.lang.String bandingStyle, java.lang.String historicTrafficTimeBucket, java.lang.String defaultAmbientSpeed, java.lang.String ambientSpeedUnit) throws ApiException
costs
- Travel distance(s) (required)point
- Starting point from where the travel boundary is calculated. Point in 'Lat,Long,coordsys' format (optional)address
- Starting address from where the travel boundary is calculated. (optional)costUnit
- Travel distance such as ft(Foot), km(Kilometer), mi(Mile), m(Meter) or yd(Yard). (optional, default to m)db
- Mode of commute. (optional, default to driving)country
- Three digit ISO country code. (optional, default to USA)maxOffroadDistance
- Maximum distance to allow travel off the road network. (optional)maxOffroadDistanceUnit
- MaxOffroad Distance Unit such as ft(Foot), km(Kilometer), mi(Mile), m(Meter) or yd(Yard). (optional)destinationSrs
- Desired coordinate system of the travel boundary. (optional)majorRoads
- Whether to include all roads in the calculation or just major roads. (optional, default to false)returnHoles
- Whether to return holes, which are areas within the larger boundary that cannot be reached within the desired distance. (optional, default to false)returnIslands
- Whether to return islands, which are small areas outside the main boundary that can be reached within the desired distance. (optional, default to false)simplificationFactor
- Number between 0.0 and 1.0 where 0.0 is very simple and 1.0 means the most complex. (optional, default to 0.5)bandingStyle
- Style of banding to be used in the result. (optional, default to Donut)historicTrafficTimeBucket
- Whether routing calculation uses the historic traffic speeds. (optional, default to None)defaultAmbientSpeed
- The speed to travel when going off a network road to find the travel boundary (for all road types). (optional)ambientSpeedUnit
- The unit of measure to use to calculate the ambient speed. (optional, default to MPH)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic com.squareup.okhttp.Call getTravelBoundaryByDistanceAsync(java.lang.String costs, java.lang.String point, java.lang.String address, java.lang.String costUnit, java.lang.String db, java.lang.String country, java.lang.String maxOffroadDistance, java.lang.String maxOffroadDistanceUnit, java.lang.String destinationSrs, java.lang.String majorRoads, java.lang.String returnHoles, java.lang.String returnIslands, java.lang.String simplificationFactor, java.lang.String bandingStyle, java.lang.String historicTrafficTimeBucket, java.lang.String defaultAmbientSpeed, java.lang.String ambientSpeedUnit, ApiCallback<TravelBoundaries> callback) throws ApiException
costs
- Travel distance(s) (required)point
- Starting point from where the travel boundary is calculated. Point in 'Lat,Long,coordsys' format (optional)address
- Starting address from where the travel boundary is calculated. (optional)costUnit
- Travel distance such as ft(Foot), km(Kilometer), mi(Mile), m(Meter) or yd(Yard). (optional, default to m)db
- Mode of commute. (optional, default to driving)country
- Three digit ISO country code. (optional, default to USA)maxOffroadDistance
- Maximum distance to allow travel off the road network. (optional)maxOffroadDistanceUnit
- MaxOffroad Distance Unit such as ft(Foot), km(Kilometer), mi(Mile), m(Meter) or yd(Yard). (optional)destinationSrs
- Desired coordinate system of the travel boundary. (optional)majorRoads
- Whether to include all roads in the calculation or just major roads. (optional, default to false)returnHoles
- Whether to return holes, which are areas within the larger boundary that cannot be reached within the desired distance. (optional, default to false)returnIslands
- Whether to return islands, which are small areas outside the main boundary that can be reached within the desired distance. (optional, default to false)simplificationFactor
- Number between 0.0 and 1.0 where 0.0 is very simple and 1.0 means the most complex. (optional, default to 0.5)bandingStyle
- Style of banding to be used in the result. (optional, default to Donut)historicTrafficTimeBucket
- Whether routing calculation uses the historic traffic speeds. (optional, default to None)defaultAmbientSpeed
- The speed to travel when going off a network road to find the travel boundary (for all road types). (optional)ambientSpeedUnit
- The unit of measure to use to calculate the ambient speed. (optional, default to MPH)callback
- The callback to be executed when the API call finishesApiException
- If fail to process the API call, e.g. serializing the request body objectpublic TravelBoundaries getTravelBoundaryByTime(java.lang.String costs, java.lang.String point, java.lang.String address, java.lang.String costUnit, java.lang.String db, java.lang.String country, java.lang.String maxOffroadDistance, java.lang.String maxOffroadDistanceUnit, java.lang.String destinationSrs, java.lang.String majorRoads, java.lang.String returnHoles, java.lang.String returnIslands, java.lang.String simplificationFactor, java.lang.String bandingStyle, java.lang.String historicTrafficTimeBucket, java.lang.String defaultAmbientSpeed, java.lang.String ambientSpeedUnit) throws ApiException
costs
- Travel time used to calculate the travel boundary. (required)point
- Starting point from where the travel boundary is calculated. Point in Lat,Long,coordsys format (optional)address
- Starting address from where the travel boundary is calculated. (optional)costUnit
- Travel time unit such as min(Minute), h(Hour), s(Second) or msec(Millisecond). (optional, default to min)db
- Mode of commute. (optional, default to driving)country
- 3 character ISO code or country name. (optional, default to USA)maxOffroadDistance
- Maximum distance to allow travel off the road network. (optional)maxOffroadDistanceUnit
- MaxOffroad Distance Unit such as ft(Foot), km(Kilometer), mi(Mile), m(Meter) or yd(Yard). (optional)destinationSrs
- Desired coordinate system of the travel boundary. (optional)majorRoads
- Whether to include all roads in the calculation or just major roads. (optional, default to false)returnHoles
- Whether to return holes, which are areas within the larger boundary that cannot be reached within the desired time. (optional, default to false)returnIslands
- Whether to return islands, which are small areas outside the main boundary that can be reached within the desired time. (optional, default to false)simplificationFactor
- Number between 0.0 and 1.0 where 0.0 is very simple and 1.0 means the most complex. (optional, default to 0.5)bandingStyle
- Style of banding to be used in the result. (optional, default to Donut)historicTrafficTimeBucket
- Whether routing calculation uses the historic traffic speeds. (optional, default to None)defaultAmbientSpeed
- The speed to travel when going off a network road to find the travel boundary (for all road types). (optional)ambientSpeedUnit
- The unit of measure to use to calculate the ambient speed. (optional, default to MPH)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic ApiResponse<TravelBoundaries> getTravelBoundaryByTimeWithHttpInfo(java.lang.String costs, java.lang.String point, java.lang.String address, java.lang.String costUnit, java.lang.String db, java.lang.String country, java.lang.String maxOffroadDistance, java.lang.String maxOffroadDistanceUnit, java.lang.String destinationSrs, java.lang.String majorRoads, java.lang.String returnHoles, java.lang.String returnIslands, java.lang.String simplificationFactor, java.lang.String bandingStyle, java.lang.String historicTrafficTimeBucket, java.lang.String defaultAmbientSpeed, java.lang.String ambientSpeedUnit) throws ApiException
costs
- Travel time used to calculate the travel boundary. (required)point
- Starting point from where the travel boundary is calculated. Point in Lat,Long,coordsys format (optional)address
- Starting address from where the travel boundary is calculated. (optional)costUnit
- Travel time unit such as min(Minute), h(Hour), s(Second) or msec(Millisecond). (optional, default to min)db
- Mode of commute. (optional, default to driving)country
- 3 character ISO code or country name. (optional, default to USA)maxOffroadDistance
- Maximum distance to allow travel off the road network. (optional)maxOffroadDistanceUnit
- MaxOffroad Distance Unit such as ft(Foot), km(Kilometer), mi(Mile), m(Meter) or yd(Yard). (optional)destinationSrs
- Desired coordinate system of the travel boundary. (optional)majorRoads
- Whether to include all roads in the calculation or just major roads. (optional, default to false)returnHoles
- Whether to return holes, which are areas within the larger boundary that cannot be reached within the desired time. (optional, default to false)returnIslands
- Whether to return islands, which are small areas outside the main boundary that can be reached within the desired time. (optional, default to false)simplificationFactor
- Number between 0.0 and 1.0 where 0.0 is very simple and 1.0 means the most complex. (optional, default to 0.5)bandingStyle
- Style of banding to be used in the result. (optional, default to Donut)historicTrafficTimeBucket
- Whether routing calculation uses the historic traffic speeds. (optional, default to None)defaultAmbientSpeed
- The speed to travel when going off a network road to find the travel boundary (for all road types). (optional)ambientSpeedUnit
- The unit of measure to use to calculate the ambient speed. (optional, default to MPH)ApiException
- If fail to call the API, e.g. server error or cannot deserialize the response bodypublic com.squareup.okhttp.Call getTravelBoundaryByTimeAsync(java.lang.String costs, java.lang.String point, java.lang.String address, java.lang.String costUnit, java.lang.String db, java.lang.String country, java.lang.String maxOffroadDistance, java.lang.String maxOffroadDistanceUnit, java.lang.String destinationSrs, java.lang.String majorRoads, java.lang.String returnHoles, java.lang.String returnIslands, java.lang.String simplificationFactor, java.lang.String bandingStyle, java.lang.String historicTrafficTimeBucket, java.lang.String defaultAmbientSpeed, java.lang.String ambientSpeedUnit, ApiCallback<TravelBoundaries> callback) throws ApiException
costs
- Travel time used to calculate the travel boundary. (required)point
- Starting point from where the travel boundary is calculated. Point in Lat,Long,coordsys format (optional)address
- Starting address from where the travel boundary is calculated. (optional)costUnit
- Travel time unit such as min(Minute), h(Hour), s(Second) or msec(Millisecond). (optional, default to min)db
- Mode of commute. (optional, default to driving)country
- 3 character ISO code or country name. (optional, default to USA)maxOffroadDistance
- Maximum distance to allow travel off the road network. (optional)maxOffroadDistanceUnit
- MaxOffroad Distance Unit such as ft(Foot), km(Kilometer), mi(Mile), m(Meter) or yd(Yard). (optional)destinationSrs
- Desired coordinate system of the travel boundary. (optional)majorRoads
- Whether to include all roads in the calculation or just major roads. (optional, default to false)returnHoles
- Whether to return holes, which are areas within the larger boundary that cannot be reached within the desired time. (optional, default to false)returnIslands
- Whether to return islands, which are small areas outside the main boundary that can be reached within the desired time. (optional, default to false)simplificationFactor
- Number between 0.0 and 1.0 where 0.0 is very simple and 1.0 means the most complex. (optional, default to 0.5)bandingStyle
- Style of banding to be used in the result. (optional, default to Donut)historicTrafficTimeBucket
- Whether routing calculation uses the historic traffic speeds. (optional, default to None)defaultAmbientSpeed
- The speed to travel when going off a network road to find the travel boundary (for all road types). (optional)ambientSpeedUnit
- The unit of measure to use to calculate the ambient speed. (optional, default to MPH)callback
- The callback to be executed when the API call finishesApiException
- If fail to process the API call, e.g. serializing the request body object


Spoilers: Jacob sleeps with Leanna amid Maya pregnancy in Emmerdale
Jacob Gallagher’s (Joe-Warren Plant) head is all over the place once more due to the release of sex abuser Maya Stepney (Louisa Clein) in Emmerdale. Upon hearing that she was getting out, Jacob’s feelings for her and her hold over him returned.
He fled his date with Leanna Cavanagh (Mimi Slinger) and headed out to meet with Maya, pursued by David Metcalfe (Matthew Wolfenden). David stopped Jacob from seeing Maya but it was clear that Jacob wasn’t giving up on his hopes of having a future with Maya.
He told David that he couldn’t stop him and, upstairs, he made several attemps to contact Maya by text and phone. Maya meanwhile, stepped out of prison and deleted Jacob’s number after a moment of hesitation before holding a clearly pregnant stomach.
Emmerdale aren’t commenting on whether Maya’s baby is David’s or Jacob’s but, despite the twist, spokespersons confirmed to Metro.co.uk that there are no current plans for Louisa to return to the role of Maya.
Advertisement Advertisement
However, the bombshell is there, waiting to explode.
Meanwhile, in an attempt to display a show of normality, Jacob goes on another date with Leanna tonight and assures her he does have feelings for her. Rocked by a clear rejection from Maya, he is determined to make a go of things with Leanna, but is he using her?
Leanna is nervous as she and Jacob share a heated kiss and, as she unbuttons her blouse, there is a sense that she isn’t completely ready to go through with it.
Is he right to declare that Jacob was forceful in the situation? And what will the consequences be?
Emmerdale continues on Wednesday 20 November at 7pm on ITV.


{% block css %} {% endblock css %}
{% block title %}CodePlay{% endblock title %}
</> CodePlay
Home
(current)
Logs
Playground
Events
Projects
About
{% block body %}{% endblock body %}


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/f.20x.20.3D.20x.html ---
theorem is_it_true (X : Type) (f : X → X) (x : X) : f x = x := sorry
@Kenny Lau
I will think about your rec problem
can you remind me of it
but in the mean time what do you think of that one
Maybe one should make some counterexample
maybe create a structure generated by x
and f x
and use no_confusion
and this structure is nat
and x is 0 and f is succ
so maybe try to build a counterexample...
I did your acc question
It is really fun to do it in tactic mode
you are in a pretty tight spot
but there's only one way out
and there are loops
example (α : Type*) (r : α → α → Prop) (x : α) (H : acc r x) : r x x → false :=
But my maze is impossible to get out of
and yours I can escape from
example (α : Type*) (r : α → α → Prop) (x : α) (H : acc r x) : r x x → false := begin intro H1, -- only one move induction H with y Hy Hcomplicated, -- let's leave the scary term till last clear x, -- works! x is no longer relevant -- only one move have H2 : acc r y := Hy y H1, -- never even use this -- must use complicated thing exact Hcomplicated y H1 H1, end
Did you see the "theorems for free" paper?
@Kenny Lau
Kenny apparently this theorem is free
theorem free_fun (r : ∀ (X : Type), X → X) : ∀ (A B : Type), ∀ f : A → B, ∀ a : A, r B (f a) = f (r A a) := sorry
theorem is_it_true (X : Type) (f : X → X) (x : X) : f x = x := sorry
well that is indeed the Church encoding of the unit type
but, I mean, if X is int
and f
is negation then we all know it's false
In the formalism of "theorems for free", you can state something even stronger than free_fun
there: every closed term of type ∀ (X : Type), X → X
is the identity function
but you can't prove it
I mean, you can prove it, but you can't assume in Lean that every function has a closed term
right, it's a metatheorem of the logic, so it's not to say that \forall (r : ∀ (X : Type), X → X) (a : Type) (x : a), r a x = x
is inhabited
(which I think is what Kevin meant to say)
it is of course false that \forall (X : Type) (f : X → X) (x : X), f x = x
and in lean, it's not even true at the meta level because of non-parametric functions based on choice
did you just use a colon lol
of course not, what do you take me for
theorem but_it_is_false : ¬∀ (X : Type) (f : X → X) (x : X), f x = x := λ H, nat.no_confusion $ H nat nat.succ 0
Reid asks if it's true for computable functions, and it's not, trivially; every functor Type -> Type
is computable simply because Type
is erasable
However, if you avoid choice according to #print axioms
, then I believe it to be true, although that's a future project
project? can you ever check whether a function uses an axiom inside?
no, it would be a metatheorem
i.e. a section in my paper
but you could formalize such a proof in lean by creating tactics that produce the appropriate free theorem and prove it, failing if they run across an instance of choice
Dang, I was only thinking about Prop
being erasable.
Furthermore, Kevin claims that he uses choice
in his definitions, and I actually doubt it, since I'm talking about the type operator itself
Last updated: Apr 24 2020 at 19:02 UTC


The container
is a simple utility element that allows you to center content on larger viewports. It can be used in any context, but mostly as a direct child of one of the following:
navbar
hero
section
footer
--- title: Container layout: documentation fullwidth: true hide_categories: true doc-tab: layout doc-subtab: container breadcrumb: - home - documentation - layout - layout-container meta: colors: false sizes: true variables: true --- {% capture container_example %}
$widescreen
breakpoint.
$fullhd
breakpoint.
max-width
of $desktop - $container-offset
on widescreen and fullhd.
max-width
of $widescreen - $container-offset
on fullhd.
{{ bp_tablet.to }}px
{{ breakpoint.from }}px
and above
{% else %}
Between {{ breakpoint.from }}px
and {{ breakpoint.to }}px
{% endif %}
The container
is a simple utility element that allows you to center content on larger viewports. It can be used in any context, but mostly as a direct child of one of the following:
navbar
hero
section
footer
| Class | max-width |
|||
|---|---|---|---|---|
.container |
Full width | {{ bp_desktop.from | minus: container_offset }}px |
{{ bp_widescreen.from | minus: container_offset }}px |
{{ bp_fullhd.from | minus: container_offset }}px |
.container.is-widescreen |
Full width | {{ bp_widescreen.from | minus: container_offset }}px |
{{ bp_fullhd.from | minus: container_offset }}px |
|
.container.is-fullhd |
Full width | {{ bp_fullhd.from | minus: container_offset }}px |
||
| {% include elements/new-tag.html version="0.9.1" %} | ||||
.container.is-max-desktop |
Full width | {{ bp_desktop.from | minus: container_offset }}px |
||
.container.is-max-widescreen |
Full width | {{ bp_desktop.from | minus: container_offset }}px |
{{ bp_widescreen.from | minus: container_offset }}px |
By default, the container
will only be activated from the $desktop
breakpoint. It will increase its max-width
after reaching the $widescreen
and $fullhd
breakpoints.
The container's width for each breakpoint is the result
of: $device - (2 * $gap)
. The $gap
variable has a default value of
32px
but can be modified.
This is how the container will behave:
$desktop
it will have a maximum width of 960px.$widescreen
it will have a maximum width of 1152px.$fullhd
it will have a maximum width of 1344px.The values 960, 1152 and 1344 have been chosen because they are divisible by both 12 and 16.
With the two modifiers is-widescreen
and is-fullhd
, you can have a fullwidth container until those specific breakpoints.
Sometimes, you might want a narrow container on larger viewports. That's why Bulma provides 2 modifiers:
.container.is-max-desktop
will behave like a desktop container
.container.is-max-widescreen
will behave like a widescreen container
If you want to change the maximum width of all containers, you can do so by updating the values of the $container-max-width
Sass variable.
By default, the $fullhd
breakpoint value is used to calculate the absolute maximum width of the container
. Simply change it to a smaller value like $widescreen
, $desktop
, or any value in pixels.
If you don't want to have a maximum width but want to keep the 32px margin on the left and
right sides, add the is-fluid
modifier:


---
layout: post
title: You heard it here first.
date: '2008-05-31T10:39:00-07:00'
tags:
- Metal Gear
- I see what you did there
- Xenogears
- PStriple
tumblr_url: http://supplethink.tumblr.com/post/51170946715/you-heard-it-here-first
---
We’ve only seen Snake tooling around the Middle East because that’s the game’s prologue. The rest of the game you play as Johnny Sasaki while Otacon tries to make love bloom with Big Mama.


Pre-requisites : Install NetbeansInstall groovyInstall grays (for windows no blankspace in the GRAYS_HOME path)
WARNING : The grails version must be 2.2.1 to fit the continuous integration on CloudBees


Eventor is a Personal Event Reminder manager. Eventor assists you in remembering all your important personal forthcoming events, such as birthdays, anniversaries etc. etc.
Eventor runs on any Palm OS 3.0 or better device and is free to use.
You may support this project by donating any amount to my Pay Pal account but this is not required. A "Thank You" mail will be equally well received!
Download
Changelog for Eventor
v2r2 (2003-06-03) Added backup bit to databases. Databases will now be backed up to your desktop PC during HotSync if you don't have Eventor Conduit installed. v2r1 (2003-05-10) Changed database format. If you use the Eventor Conduit you should upgrade to the latest Conduit as well. Added "age" to events (Suggested by Poul & Linda Stanley). Added Edit Menu on the edit screen. Palm Print supported - you can now get a printout of all events on your printer. v1r7 (2003-04-24) Cosmetics: the text on the main table is shown in normal font on OS3.x devices as well. v1r6 (2003-04-17) Fixed a bug in the notifications screen - if you got two forthcoming events both will be shown (Reported by Stefano Ferrazzi). Code cleanup. v1r5 (2003-04-07) Fixed a bug which made the year on the notifications screen come out wrong. v1r4 (2003-04-02) Rearranged some of the notification code - it should now work on OS 4.0. Added sound to the planned Event List (not when powering on you pda!) (Suggested by Stefano Ferrazzi). v1r3 (2003-03-27) Only one Event List is shown when you turn on the handheld :o) The conduit has been separated from the Application (no changes). v1r2 (2003-03-25) Added the ability to launch the Event List every time you turn on your handheld. (Suggested by Stefano Ferrazzi). There is no changes to the conduit. v1r1 (2003-03-16) Initial release of both Eventor and the Conduit.
Changelog for the Eventor Conduit
v2r2 (2003-05-14) The output from the Eventor Conduit is now more readable. This is the first step towards a desktop companion :o) v2r1 (2003-05-10) Updated Conduit to support Eventor-2r1 and better. v1r1 (2003-03-27) Initial release of the new version of the Eventor Conduit.


Arvind Malkhede takes chargeas DRM in Hubballi Division
by Special CorrespondentArvind Malkhede assumed charge as the Divisional Railway Manager of Hubballi Division on Monday.
An officer of Indian Railway Traffic Service (IRTS) of 1991 batch, Mr. Malkhede was Chief Commercial Manager (Passenger Marketing) of Western Railway prior to this posting.
According to a press release, Mr. Malkhede has wide experience in train operations, the commercial department and general administration posts in the Railways.
Mr. Malkhede has received the National Award for Excellence (Minister of Railway’s Award) and is also a recipient of the prestigious Chevening Gurukul Scholarship.
He attended a leadership development programme in the London School of Economics and Political Sciences in 2009. He has also attended leadership development programmes at INSEAD, Singapore, and at ICLIF, Malaysia, the release said.


Graduation Requirements
The following requirements must be met in order to obtain a degree in chemistry:
- Earn a minimum of 120 hours (129 for Chemistry-Teacher Certification) of acceptable credit with a cumulative grade point average (GPA) of 2.0 or higher on a 4.0 scale.
- Complete at least 12 hours of SIUE credit in major courses numbered above 299 with a cumulative GPA of 2.0 or above on a 4.0 scale.
- Earn a GPA of 2.0 or above on a 4.0 scale in all major courses numbered above 299.
- Complete at least six (6) hours of SIUE credit in major courses numbered above 299 within two (2) years preceding graduation.
Notes:
- No more than eight (8) semester hours of D grades in any combination of science or mathematics courses may be counted toward a major in chemistry.
- Credit hours earned through proficiency, transfer, College Level Examination Program (CLEP) or from a course, after credit has been received for similar or more advanced course work in the same subject at SIUE or elsewhere, may not be applied toward graduation requirements.
- Students admitted to a health professions school at the end of their junior year may transfer appropriate health professions school credits to complete the requirements for a degree in chemistry from SIUE.


- getDistance() - Method in class OwnObjects.Vertex
-
Returns the distance from start Vertex
- getFCost() - Method in class OwnObjects.Vertex
-
Returns the F cost of the Vertex
- getHeurictic() - Method in class OwnObjects.Vertex
-
Returns the heuristic distance from the end Vertex
- getMarker() - Method in class OwnObjects.Vertex
-
Returns the marker value as integer
- getNanoTimer() - Method in class Algoritm.Astar
-
- getParent() - Method in class OwnObjects.Vertex
-
Returns this Vertex parent Vertex
- getSize() - Method in class DataStructure.AlgoSet
-
Returns the amount of Objects the Set holds
- getTimer() - Method in class Algoritm.Astar
-
Returns time consumed (ms) by the algorithm to finish
- getTimer() - Method in class Algoritm.Dijkstra
-
Returns time consumed (ms) by the algorithm to finish
- getVertex(int, int) - Method in class Algoritm.Astar
-
Method to get specific Vertex from this class.
- getVertex(int, int) - Method in class Algoritm.Dijkstra
-
Method to get specific Vertex from this class.
- getX() - Method in class OwnObjects.Vertex
-
Returns the x-coordinate value
- getY() - Method in class OwnObjects.Vertex
-
Returns the y-coordinate value


Personally for myself, I have a lot on my plate and family is a big one for me. The thought of how much this course actually means for myself and my family brings disproportionate emotional response.
I found SBNRR to be very familar, I have used this techique before as my sisters have thought me to do so when I was under a lot of stress and discomfort. From my experience, this is very effective and I find it helpful in most cases.
Go back


US Patent 9,535,759 issued yesterday, my latest patent.
It’s not up on Google Patents yet, though it is here: http://patents.com/us-9535759.html (it requires registration to get a PDF version of it).
Need to update the CV…


Zend Framework
LICENSE
This source file is subject to the new BSD license that is bundled with this package in the file LICENSE.txt. It is also available through the world-wide-web at this URL: http://framework.zend.com/license/new-bsd If you did not receive a copy of the license and are unable to obtain it through the world-wide-web, please send an email to<EMAIL_ADDRESS>so we can send you a copy immediately.
array
$_errors= 'array'
An array of any errors including keys for 'response', 'hubUrl'.
The response is the actual Zend_Http_Response object.
array
Detailsarray
$_hubUrls= 'array'
An array of URLs for all Hub Servers used by the Publisher, and to which all topic update notifications will be sent.
array
Detailsarray
$_parameters= 'array'
An array of topic (Atom or RSS feed) URLs which have been updated and whose updated status will be notified to all Hub Servers.
array
Details__construct(
$config
=
null
)
:
void
Constructor; accepts an array or Zend_Config instance to preset options for the Publisher without calling all supported setter methods in turn.
| Name | Type | Description |
|---|---|---|
| $config |
_getHttpClient(
)
:
\Zend_Http_Client
Get a basic prepared HTTP client for use
| Type | Description |
|---|---|
| \Zend_Http_Client |
addHubUrl(
string $url
)
:
\Zend_Feed_Pubsubhubbub_Publisher
Add a Hub Server URL supported by Publisher
| Name | Type | Description |
|---|---|---|
| $url | string |
| Type | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Publisher |
addHubUrls(
array $urls
)
:
\Zend_Feed_Pubsubhubbub_Publisher
Add an array of Hub Server URLs supported by Publisher
| Name | Type | Description |
|---|---|---|
| $urls | array |
| Type | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Publisher |
addUpdatedTopicUrl(
string $url
)
:
\Zend_Feed_Pubsubhubbub_Publisher
Add a URL to a topic (Atom or RSS feed) which has been updated
| Name | Type | Description |
|---|---|---|
| $url | string |
| Type | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Publisher |
addUpdatedTopicUrls(
array $urls
)
:
\Zend_Feed_Pubsubhubbub_Publisher
Add an array of Topic URLs which have been updated
| Name | Type | Description |
|---|---|---|
| $urls | array |
| Type | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Publisher |
getErrors(
)
:
array
Return an array of errors met from any failures, including keys: 'response' => the Zend_Http_Response object from the failure 'hubUrl' => the URL of the Hub Server whose notification failed
| Type | Description |
|---|---|
| array |
getHubUrls(
)
:
array
Return an array of unique Hub Server URLs currently available
| Type | Description |
|---|---|
| array |
getParameters(
)
:
array
Return an array of optional parameters for notification requests
| Type | Description |
|---|---|
| array |
getUpdatedTopicUrls(
)
:
array
Return an array of unique updated topic URLs currently available
| Type | Description |
|---|---|
| array |
isSuccess(
)
:
bool
Returns a boolean indicator of whether the notifications to Hub Servers were ALL successful. If even one failed, FALSE is returned.
| Type | Description |
|---|---|
| bool |
notifyAll(
)
:
void
Notifies all Hub Server URLs of changes
If a Hub notification fails, certain data will be retained in an an array retrieved using getErrors(), if a failure occurs for any Hubs the isSuccess() check will return FALSE. This method is designed not to needlessly fail with an Exception/Error unless from Zend_Http_Client.
| Exception | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Exception | Thrown if no hubs attached |
notifyHub(
string $url
)
:
void
Notifies a single Hub Server URL of changes
| Name | Type | Description |
|---|---|---|
| $url | string | The Hub Server's URL |
| Exception | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Exception | Thrown on failure |
removeHubUrl(
string $url
)
:
\Zend_Feed_Pubsubhubbub_Publisher
Remove a Hub Server URL
| Name | Type | Description |
|---|---|---|
| $url | string |
| Type | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Publisher |
removeParameter(
string $name
)
:
\Zend_Feed_Pubsubhubbub_Publisher
Remove an optional parameter for the notification requests
| Name | Type | Description |
|---|---|---|
| $name | string |
| Type | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Publisher |
removeUpdatedTopicUrl(
string $url
)
:
\Zend_Feed_Pubsubhubbub_Publisher
Remove an updated topic URL
| Name | Type | Description |
|---|---|---|
| $url | string |
| Type | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Publisher |
setParameter(
string $name, string|null $value
=
null
)
:
\Zend_Feed_Pubsubhubbub_Publisher
Add an optional parameter to the update notification requests
| Name | Type | Description |
|---|---|---|
| $name | string | |
| $value | string|null |
| Type | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Publisher |
setParameters(
array $parameters
)
:
\Zend_Feed_Pubsubhubbub_Publisher
Add an optional parameter to the update notification requests
| Name | Type | Description |
|---|---|---|
| $parameters | array |
| Type | Description |
|---|---|
| \Zend_Feed_Pubsubhubbub_Publisher |


|
SUBJECT INDEX Anthropology Architecture Art Black Studies Business Ecology Economics Education Film Healthcare History Law Linguistics Literature Mass Media Medicine Music Philosophy Political Science Psychology Religion Science Shakespeare Sociology Sports Recreation Urban Studies Women's Studies |
Philosophy: ModernTo order a specific paper, click the Catalog Number button next to the Paper Title of interest. Send comments to<EMAIL_ADDRESS>Last Updated: 12/21/96 Copyright ©1996 ASM Communications, Inc. All Rights Reserved. |


You’ve heard a lot about matrix multiplication in the last few sections – now you’ll get to see how to do it with NumPy. However, it’s important to know that NumPy supports several types of matrix multiplication.
You saw some element-wise multiplication already. You accomplish that with the multiply
function or the *
operator. Just to revisit, it would look like this:
m = np.array([[1,2,3],[4,5,6]])
m
# displays the following result:
# array([[1, 2, 3],
# [4, 5, 6]])
n = m * 0.25
n
# displays the following result:
# array([[ 0.25, 0.5 , 0.75],
# [ 1. , 1.25, 1.5 ]])
m * n
# displays the following result:
# array([[ 0.25, 1. , 2.25],
# [ 4. , 6.25, 9. ]])
np.multiply(m, n) # equivalent to m * n
# displays the following result:
# array([[ 0.25, 1. , 2.25],
# [ 4. , 6.25, 9. ]])
To find the matrix product, you use NumPy’s matmul
function.
If you have compatible shapes, then it’s as simple as this:
a = np.array([[1,2,3,4],[5,6,7,8]])
a
# displays the following result:
# array([[1, 2, 3, 4],
# [5, 6, 7, 8]])
a.shape
# displays the following result:
# (2, 4)
b = np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])
b
# displays the following result:
# array([[ 1, 2, 3],
# [ 4, 5, 6],
# [ 7, 8, 9],
# [10, 11, 12]])
b.shape
# displays the following result:
# (4, 3)
c = np.matmul(a, b)
c
# displays the following result:
# array([[ 70, 80, 90],
# [158, 184, 210]])
c.shape
# displays the following result:
# (2, 3)
If your matrices have incompatible shapes, you’ll get an error, like the following:
np.matmul(b, a)
# displays the following error:
# ValueError: shapes (4,3) and (2,4) not aligned: 3 (dim 1) != 2 (dim 0)
dot
functionYou may sometimes see NumPy’s dot
function in places where you would expect a matmul
. It turns out that the results of dot
and matmul
are the same if the matrices are two dimensional.
So these two results are equivalent:
a = np.array([[1,2],[3,4]])
a
# displays the following result:
# array([[1, 2],
# [3, 4]])
np.dot(a,a)
# displays the following result:
# array([[ 7, 10],
# [15, 22]])
a.dot(a) # you can call `dot` directly on the `ndarray`
# displays the following result:
# array([[ 7, 10],
# [15, 22]])
np.matmul(a,a)
# array([[ 7, 10],
# [15, 22]])
While these functions return the same results for two dimensional data, you should be careful about which you choose when working with other data shapes. You can read more about the differences, and find links to other NumPy functions, in the matmul
and dot
documentation.


By nature a Geek and I love to solve problems and leads to delivery technical challenges to ensure high value to the Organization. Strategic, customer-focused and full stack developer of a large team in global technology organizations.
Excellent experience in software development life cycle activities including analysis, design, development, unit and system testing, production deployment and postproduction support.
Excellent knowledge of Object Oriented Analysis and Design, Software Design Patterns and Java coding practices and standards plus Participate in code reviews and provide and accept reviews.
Exposure to junit test cases to support integration testing using Junit and Mocking framework.
Adopt and implement Agile Methodologies in traditional waterfall projects and ensure success.
Approached and implemented code generator framework to generate the codes from xml using xsl.
Worked in CICDS team to configuring feature branch and code merging from feature branch to trunk and vice versa and deploying code in feature branch.
Responsibility includes to design, develop and deliver the mature products across all stages.
Writes codes that meets standards and delivers desired functionality.
Work on core data structures and algorithms and implement them using Java.
Work on OCR tool to extract text from hand written image.
Experience in defining and developing highly maintainable RESTful web service and micro services.
Work on writing Junit test cases using Junit and Mocking framework to achieve integration testing.
Participated in code reviews and provide and accept reviews.
Imported all the FedEx revenue system specific data to Hadoop using SQOOP component.
Written Map Reduce code that will take input as customer related flat file and parse the same data to extract the required data for further processing.
Created Hive external tables to store the processed data from Map Reduce.
Used Spring modules (IOC, Boot, JPA, MVC, JDBC, Transaction, ORM, AOP) throughout the project and integrate Spring with REST and SOAP web services.
Used multi-threading concept to reduce the time complexity in data fetching from Database.
Collaborate with system engineers, front end developers and software developers to implement solutions that are aligned with.
Participate to document details of functionality, design and architecture of a component.
GPA: 9.0
GPA: 7.6
Apart from being a web developer, I enjoy most of my time being outdoors. In the winter, I am an avid skier and novice ice climber. During the warmer months here in Colorado, I enjoy mountain biking, free climbing, and kayaking.
When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in the front-end web development world.