Comparing Triple Stores
In looking into the world of triple stores there, exists very little in the way of traditional web communities discussing and comparing them. Most of the discussion appears to happen in academic journals, which would make sense as their widest use is in academia. A good starting place is comparing some of the available triple stores with the goal of producing a modern web application that would ideally have a mostly javascript client-side that is querying and updating a triple store on the backend.
I picked a small sample of open source, actively maintained and easy to install stores to run through a series of tests.
| Name | License | Deployment | Language |
|---|---|---|---|
| Apache Fuseki | Apache License 2 | Standalone or WAR | Java |
| Blazegraph | GPLv2 or commercial | Standalone or WAR | Java |
| Sesame | BSD | WAR | Java |
| Virtuoso | GPL | Native | C |
Using these four, I will compare them and discuss general merits that could be applied against any store you wish to test. The categories will be.
- Installation/Configuration
- Admin Interface
- Data Loading
- Data Exploration
- REST
- Feature Support
- Performance
- Production Readiness
Installation/Configuration
I wanted a similar environment for all of the testing, so I chose to deploy each of these into a Virtualbox VM with identical specs. The host of these VMs was a mid 2012 Mac Pro with 2 x 2.4 GHz 6-core Xeon processors and 16GB of ram. Each VM was given 8GB of ram and 4 processors, and while performance tests were running only a single VM would be active at a time. I chose CentOS 7 as the operating system and Tomcat as the application server for the stores that needed it. Given the choice to run as a standalone or WAR file I used the WAR files with Tomcat.
Fuseki
Fuseki is a web front-end provided for the Apache Jena RDF tools, I downloaded the Fuseki2 tar and followed the rather terse installation instructions.
Fuseki as a Web Application
Fuseki can run from a WAR file.
FUSEKI_HOME is not applicable.
FUSEKI_BASE defaults to /etc/fuseki which must be a writeable directory.
It is initialised the first time Fuseki runs, including a Apache Shiro security
file but this is only intended as a starting point.
It restricts use of the admin UI to the local machine.
Dropping the WAR into Tomcat's folder and creating a /etc/fuseki folder with Tomcat as the owner appeared to do the trick, except that the admin interface was missing some elements. It took some investigation through firefox's inspect element to see that it was attempting to load additional resources and was getting a 403 Forbidden from the server. Investigating inside the /etc/fuseki folder there was a shiro.ini file with basic permissions set. I've never messed with Apache Shiro security, but my assumption was that by port forwarding into the VM the server didn't see the request as coming from localhost and was denying access. As a simple fix I allowed all access by uncommenting the line to allow all access. This solved the problem and I had full access to the admin interface.
Installation was mostly straight forward, although due to my deployment setup on a VM I had some rather opaque security issues.
Blazegraph
Blazegraph was another simple Java webserver deployment. Following the instructions here, I extracted the WAR and dropped it in Tomcat's folder. After restarting Tomcat the admin interface was fully accessible and working.
Sesame
Sesame had complete installation instructions and good descriptions of the different options for installation. Sesame can be slightly confusing as it is used by other triple stores as middleware for programming interfaces or implementing REST, however it has a native triple store built in and can function as a server on its own. Installation was a simple matter of extracting the 2 WAR files into Tomcat's webapp folder and restarting. After Tomcat launched back up both the SPARQL endpoint and the workbench were accessible.
Virtuoso
Virtuoso was the only non-Java server I was testing, however with any experience compiling software its installation should be a breeze. The requirements to build are clearly listed with versions in the installation instructions on the github repository. After insuring they were all the proper version, the make and install went smoothly. After finding the executable and pointing it to the default config the admin interface was accessible.
Admin Interface
The admin interface is an important tool for people new to graph databases and should ideally provide you not just with a way to manage the graph, but also to query, inspect and load data into it.
Fuseki
The Fuseki admin interface is very responsive and uses AJAX calls for various things. This can cause nothing to appear if your permissions are not set up properly. It has basic controls to create new datasets, backup datasets, see how many queries have been run, upload data, and a very fully featured SPARQL query writer.
Blazegraph
Blazegraph has a very clean and simple admin interface, that uses http sessions to keep information between tabs. It allows you to create new datasets, load data, run SPARQL queries and explore data. It also has some performance and status tools, allowing you to view currently running queries no matter where they came from.
Sesame
The sesame admin inferface comes from the workbench WAR file. It allows you to create various types of graphs, load data, explore data and run queries.
Virtuoso
Compared to all the others the virtuoso admin interface is very confusing, and this is probably because virtuoso is not just a triple store, but a relational database with a linked data component built in. It can create graphs, and has tools to query and load them, but it is very heavy and prone to not working.
Data Loading
The first step after finishing basic set up of the triple stores was to attempt to load something into them and start querying it. I was looking for a decently sized dataset with data that was not hard to understand to people outside the discipline. I settled on the Linked Movie Database dataset as it fulfilled all these requirements. It is a set of roughly 600k triples in the N-triples format.
<http://data.linkedmdb.org/resource/interlink/36322> <http://data.linkedmdb.org/resource/oddlinker/linkage_run> <http://data.linkedmdb.org/resource/linkage_run/1> .
<http://data.linkedmdb.org/resource/film_cut/30648> <http://xmlns.com/foaf/0.1/page> <http://www.freebase.com/view/guid/9202a8c04000641f800000000b4dedc5> .
<http://data.linkedmdb.org/resource/performance/25260> <http://data.linkedmdb.org/resource/movie/performance_character> "" .
<http://data.linkedmdb.org/resource/performance/160947> <http://data.linkedmdb.org/resource/movie/performance_actor> "Chris Messina" .
<http://data.linkedmdb.org/resource/performance/171014> <http://data.linkedmdb.org/resource/movie/performance_film> "Saikin-rett\u00C5\u008D" .
<http://data.linkedmdb.org/resource/film/22085> <http://xmlns.com/foaf/0.1/page> <http://www.freebase.com/view/guid/9202a8c04000641f8000000006b56bdb> .
<http://data.linkedmdb.org/resource/film/38811> <http://data.linkedmdb.org/resource/movie/initial_release_date> "1982" .
<http://data.linkedmdb.org/resource/film/97822> <http://data.linkedmdb.org/resource/movie/filmid> "97822"^^<http://www.w3.org/2001/XMLSchema#int> .
<http://data.linkedmdb.org/resource/film_film_distributor_relationship/7336> <http://data.linkedmdb.org/resource/movie/film_film_distributor_relationship_distributor> "Metro-Goldwyn-Mayer" .
<http://data.linkedmdb.org/resource/film/37528> <http://xmlns.com/foaf/0.1/page> <http://www.rottentomatoes.com/alias?type=imdbid&s=0164961> .
With this 800MB file in hand I attempted to load it directly into the various stores with varying degrees of success.
Fuseki
Fuseki allowed for multiple files to be uploaded at once and even gave a progress bar, however it did not load the raw file properly and gave an error message with no additional information. I assumed there was a format problem inside the file so I went about converting it to another format. To accomplish this I used python's RDFLib which can read various RDF file formats and allow you to perform queries against an internal graph that it builds. It can then also serialize this graph back out into many formats. However, RDFLib also refused to read the file due to special characters in the URIs. I set about using sed and a custom python script to correct all the issues and finally loaded the n-triples file into RDFLib and then re-serialized it back out into Turtle format. I tried uploading the Turtle file into Fuseki and it took about 15min but worked and correctly updated its triple count.
from rdflib import Graph
g = Graph()
g.parse("m5.nt", format="nt")
with open("movies.ttl", "w") as f:
f.write(g.serialize(format="turtle"))
Blazegraph
Blazegraph allows you to upload files directly but limits them to some size over HTTP, however it also allows you to point to a file on the local file system and load from there. After moving the original file over to the server it spent about 10 minutes loading it and reported back that it now had 600k triples.
Sesame
Sesame allows files to be directly uploaded through workbench. Having had so many problems with the raw file in Fuseki I tried uploading the corrected n-triple file that worked with RDFLib and after roughly 15min it reported back that it was loaded and updated its number of triples.
Virtuoso
Virtuoso also allows file uploading through the admin interface. I uploaded the 'corrected' n-triples file and it appeared to work. However it does not give a count of triples loaded anywhere, and the only way to tell was to attempt to query against it, which only worked halfway, but more on that in the next section.
Data Exploration
The ability to run queries from the admin interface and explore the data contained in the store is an important function for these triple stores as it replaces the functionality of browsing schemas in a traditional relational database.
Fuseki
Fuseki has a very polished query interface, which supports syntax highlighting, syntax checking, common prefix addition and the ability to turn a query into a URL to request it from the REST interface. However, despite all the positives it has some large drawbacks. First it lacks any sort of exploration meaning you will need to craft a new query each time you want to explore what your data looks like. Secondly, it appears to send all data returned from a query back to the client for client-side javascript to handle the pagination, this can cause problems when queries return large datasets back.
Blazegraph
Blazegraph also supports syntax highlighting in its query editor, however it lacks syntax checking or the ability to URL-ize the query. It does pagination of queries on the server-side and handles query running in an HTTP session, meaning you can move off the query tab to explore other sections of the admin interface, such as the excellent status page where you can view information about currently running queries. Also it keeps a log of recently run queries and the time they took to complete, meaning you can do a small amount of performance testing and run queries again. Query results are returned such that non-literals link to the data exploration side of the admin interface.
Once you are in the data exploration side you can see outgoing and incoming links as well as attributes of the current node. These are all links meaning you can further explore the graph by clicking. The queries being run to generate this are logged in the status page and can be viewed just like a normal query.
Sesame
Sesame has a query interface very similar to Fuseki with the same javascript editor, however it does not parse the results with client-side javascript. Much like blazegraph it returns results as URLs into its own exploration interface.
Sesame shows the same information as blazegraph it just does not break it out as nicely. When working with OWL classes though it will display a super/sub-class structure, which can be useful for finding problems. Sesame has one additional feature over blazegraph, which is an extra button on the query results and exploration allowing you to follow a URL to its original server if you are working with data from an external source.
Virtuoso
While investigating virtuoso's query interface I was having trouble finding a query that would run, and this was when I discovered that virtuoso had either not loaded all of the data or discarded a significant amount of it. The query interface for virtuoso is very basic with no syntax highlighting or any features to explore the data. I could have mis-configured the graph or uploaded the file incorrectly, but without any good documentation to follow I'm not sure what is the problem here. Because of this problem I will not consider virtuoso past this point, but may update this at a later date if I can figure out the problem.
REST
For my purposes this was the most important feature of these triple stores as it would be the only way the application would interact with the data. I had need of both the ability to query and update the data in the store from a client-side javascript application. Unfortunately due to the nature of RDF working directly client to triple store is difficult. In traditional RESTful APIs collections of members can be retrieved and then all properties of each member can be retrieved independently. Because of the graph nature of RDF neither of these works quite the same from a REST point of view. Take for example a graph storing information about books with this simple structure.
@prefix book: <http://example.com/book/> .
@prefix author: <http://example.com/author/> .
book:snow_crash book:name "Snow Crash";
book:published 1992;
book:author author:stephenson .
book:diamond_age book:name "Diamond Age" ;
book:published 1995;
book:author author:stephenson .
author:stephenson author:fullname "Niel Stephenson" .
You can picture a simple API for viewing this data with a traditional REST framework.
/books -> list of all book ids
/book/:id -> properties of the book identified by :id
And then a second set of endpoints for authors.
/authors
/author/:id
This sort of REST API is not possible only using the triple stores I have been investigating. They all have slightly different REST capabilities, but all share a few major shortcomings.
Blazegraph
Blazegraph allows you to either use Sesame to serve its REST endpoint or the built in NanoSparqlServer, these are the features of the NanoSparqlServer. This allows for data to be loaded through various formats and the ability to directly execute arbitrary SPARQL queries. This is a problem because it forces anyone else attempting to use the system to know the layout of our data, and removes any ability to do security as the entire graph is exposed to the internet.
With that in mind if we had the URI for a book and wanted to query the information for it there would be two options. We could either run a naive query asking for all triples with the book as the subject, or a well defined query to return exactly the information we want.
curl localhost:8080/bigdata/namespace/books/sparql \
--data-urlencode "query=select * where{<http://example.com/book/diamond_age> ?p ?o}" \
--data-urlencode "format=json"
This naive query produces results that are somewhat difficult to work with, as you need loop through the bindings and keep a list of values that you have found.
{
"head" : {
"vars" : [ "p", "o" ]
},
"results" : {
"bindings" : [ {
"p" : {
"type" : "uri",
"value" : "http://example.com/book/author"
},
"o" : {
"type" : "uri",
"value" : "http://example.com/author/stephenson"
}
}, {
"p" : {
"type" : "uri",
"value" : "http://example.com/book/name"
},
"o" : {
"type" : "literal",
"value" : "Diamond Age"
}
}, {
"p" : {
"type" : "uri",
"value" : "http://example.com/book/published"
},
"o" : {
"datatype" : "http://www.w3.org/2001/XMLSchema#integer",
"type" : "literal",
"value" : "1995"
}
} ]
}
}
With knowledge of the data you can produce a much more refined SPARQL query to pull just the information that you want.
PREFIX book:<http://example.com/book/>
PREFIX author:<http://example.com/author/>
select ?name ?published ?author_name where{
book:diamond_age book:name ?name .
book:diamond_age book:published ?published .
book:diamond_age book:author ?author .
?author author:fullname ?author_name .
}
curl localhost:8080/bigdata/namespace/books/sparql \
--data-urlencode "query=PREFIX book:<http://example.com/book/> PREFIX author:<http://example.com/author/> select ?name ?published ?author_name where{ book:diamond_age book:name ?name . book:diamond_age book:published ?published . book:diamond_age book:author ?author . ?author author:fullname ?author_name .}" \
--data-urlencode "format=json"
{
"head" : {
"vars" : [ "name", "published", "author_name" ]
},
"results" : {
"bindings" : [ {
"author_name" : {
"type" : "literal",
"value" : "Niel Stephenson"
},
"name" : {
"type" : "literal",
"value" : "Diamond Age"
},
"published" : {
"datatype" : "http://www.w3.org/2001/XMLSchema#integer",
"type" : "literal",
"value" : "1995"
}
} ]
}
}
However, this approach requires embedding large SPARQL queries in your client-side applications or require anyone using your data to have knowledge of SPARQL and your data layout. This is not ideal.
Fuseki
Fuseki implements the same SPARQL endpoints as Blazegraph and returns things in the same format.
Sesame
In addition to support for HTTP SPARQL queries like Blazegraph and Fuseki sesame has support for asking for individual subjects, predicates or objects using the following syntax.
curl -G localhost:8080/openrdf-sesame/repositories/books/statements \
--data-urlencode "subj=<http://example.com/book/diamond_age>" \
-H "Accept: application/rdf+json"
Results in the following json block are somewhat like the naive query seen above as it is returning full URIs and would require additional queries to find all the information that we want to display the basic information of this book.
{
"http://example.com/book/diamond_age" : {
"http://example.com/book/author" : [
{
"value" : "http://example.com/author/stephenson",
"type" : "uri"
}
],
"http://example.com/book/name" : [
{
"value" : "Diamond Age",
"type" : "literal",
"datatype" : "http://www.w3.org/2001/XMLSchema#string"
}
],
"http://example.com/book/published" : [
{
"value" : "1995",
"type" : "literal",
"datatype" : "http://www.w3.org/2001/XMLSchema#integer"
}
]
}
}
RDF Feature Support
When I speak of RDF features I mean any possible inference or reasoning that the triple store can do based on any ontologies that have been loaded into the store. Inferences and reasoning are similar but quite distinct things. Inference generally refers RDF level types and classes being represented in the stored triples, while reasoning is applying an OWL reasoner to support more advanced constructs such as owl:sameAs.
Fuseki
The Jena engine has the largest coverage of both reasoning engines and inference models. Both reasoning and inference are performed with query modification or virtual triples. This results in slower queries with heavy reasoning or inference, but allows great flexibility.
Blazegraph and Sesame
Blazegraph and Sesame both only support RDF level materialized inference. This results in very fast processsing of queries with slightly slower loading speeds, and a certain intractability to the RDF class structure of the data.
Performance
Performance testing was done using the Lehigh University Benchmark. This is a generated dataset and a set of 14 SPARQL queries that test the performance and reasoning/inference capabilities of a triple store.
| Query | Fuseki | Blazegraph | Sesame |
|---|---|---|---|
| 1 | 0.79 | 0.08 | 0.08 |
| 2 | 208.62 | 0.05 | 0.01 |
| 3 | 0.07 | 0.01 | 0.01 |
| 4 | 15.47 | 0.02 | 0.06 |
| 5 | 0.24 | 0.06 | 0.03 |
| 6 | 0.22 | 0.21 | 0.08 |
| 7 | 59.68 | 0.02 | 0.30 |
| 8 | 2.84 | 0.30 | 1.16 |
| 9 | 17.46 | 0.05 | 0.05 |
| 10 | 0.06 | 0.03 | 0.01 |
| 11 | 0.03 | 0.02 | 0.01 |
| 12 | 0.01 | 0.02 | 0.00 |
| 13 | 0.19 | 0.02 | 0.00 |
| 14 | 0.07 | 0.05 | 0.05 |
Fuseki
Multiple results are listed here for different levels of reasoning and inference with Jena.
OWL MEM MICRO_RULE_INF
This is described as an optimised rule-based reasoner with OWL full rules. It has the slowest performance of any rule set or environment, however it is the only thing that returns the correct results for all queries.
Time -<PHONE_NUMBER>39
Total Results - 25671
| Query# | Runtime | Results |
|---|---|---|
| 1 | 0.790 | 4 |
| 2 | 208.6 | 0 |
| 3 | 0.073 | 6 |
| 4 | 15.47 | 34 |
| 5 | 0.243 | 719 |
| 6 | 0.224 | 7790 |
| 7 | 59.68 | 67 |
| 8 | 2.840 | 7790 |
| 9 | 17.46 | 3101 |
| 10 | 0.067 | 4 |
| 11 | 0.338 | 224 |
| 12 | 0.016 | 15 |
| 13 | 0.191 | 1 |
| 14 | 0.075 | 5916 |
RDFS_MEM_RDFS_INF
RDFS inference mode is performing the same level of inference as the other two triple stores, however this is performed in memory as opposed to materializing the triples at the time of data load resulting in much worse performance.
Time -<PHONE_NUMBER>04
Total Results - 19797
| Query# | Runtime | Results |
|---|---|---|
| 1 | 0.282 | 4 |
| 2 | 191.8 | 0 |
| 3 | 0.089 | 6 |
| 4 | 0.044 | 34 |
| 5 | 0.385 | 719 |
| 6 | 0.218 | 5916 |
| 7 | 42.85 | 59 |
| 8 | 1.961 | 5916 |
| 9 | 11.19 | 1227 |
| 10 | 0.046 | 0 |
| 11 | 0.011 | 0 |
| 12 | 0.008 | 0 |
| 13 | 0.038 | 0 |
| 14 | 0.081 | 5916 |
RDFS_MEM
Here no reasoning is used which get much closer to testing the raw performance of the triple store.
Time - 56.2234978676
Total Results - 5926
| Query# | Runtime | Results |
|---|---|---|
| 1 | 0.187 | 4 |
| 2 | 55.64 | 0 |
| 3 | 0.034 | 6 |
| 4 | 0.011 | 0 |
| 5 | 0.013 | 0 |
| 6 | 0.009 | 0 |
| 7 | 0.009 | 0 |
| 8 | 0.010 | 0 |
| 9 | 0.010 | 0 |
| 10 | 0.009 | 0 |
| 11 | 0.011 | 0 |
| 12 | 0.010 | 0 |
| 13 | 0.009 | 0 |
| 14 | 0.221 | 5916 |
Blazegraph
Blazegraph was run in triple mode with inference turned on for this graph. Blazegraph had the best performance and returned more correct results than sesame which was running in the same inference mode.
Time - 1.15243792534
Total Results - 20022
| Query# | Runtime | Results |
|---|---|---|
| 1 | 0.086 | 4 |
| 2 | 0.056 | 0 |
| 3 | 0.016 | 6 |
| 4 | 0.029 | 34 |
| 5 | 0.060 | 719 |
| 6 | 0.211 | 5916 |
| 7 | 0.025 | 59 |
| 8 | 0.305 | 5916 |
| 9 | 0.053 | 1227 |
| 10 | 0.036 | 0 |
| 11 | 0.024 | 224 |
| 12 | 0.026 | 0 |
| 13 | 0.025 | 1 |
| 14 | 0.050 | 5916 |
Sesame
Sesame had a problem returning duplicate results, which can be seen here with the greatly inflated number of results returned.
Time - 3.34652090073
Total Results - 117311
| Query# | Runtime | Results |
|---|---|---|
| 1 | 0.088 | 16 |
| 2 | 0.012 | 0 |
| 3 | 0.011 | 24 |
| 4 | 0.065 | 544 |
| 5 | 0.039 | 1397 |
| 6 | 0.083 | 5916 |
| 7 | 0.017 | 472 |
| 8 | 1.160 | 94656 |
| 9 | 0.054 | 2454 |
| 10 | 0.010 | 0 |
| 11 | 0.008 | 0 |
| 12 | 0.009 | 0 |
| 13 | 0.008 | 0 |
| 14 | 0.054 | 11832 |
Adding DISTINCT to the query brough the numbers much closer to the other triple stores, however it will stll missing data on query 11 and query 13, when compared to inference mode in Jena and Blazegraph.
Time - 1.57800793648
Total Results - 19797
| Query# | Runtime | Results |
|---|---|---|
| 1 | 0.033 | 4 |
| 2 | 0.012 | 0 |
| 3 | 0.009 | 6 |
| 4 | 0.017 | 34 |
| 5 | 0.025 | 719 |
| 6 | 0.071 | 5916 |
| 7 | 0.016 | 59 |
| 8 | 1.060 | 5916 |
| 9 | 0.083 | 1227 |
| 10 | 0.008 | 0 |
| 11 | 0.007 | 0 |
| 12 | 0.007 | 0 |
| 13 | 0.007 | 0 |
| 14 | 0.069 | 5916 |
Production Readiness
For a system to be used in production some form of security and a system to backup data are very important. Security can be handled at two levels either system wide through another process or at a graph level by the triple store itself, either of these could be useful depending on needs. In the same way backups could either be handled by the triple store itself or through an external process that copies files.
Fuseki
Fuseki can create graph backups directly from the admin interface, these are created as gzipped n3 files of the entire graph stored on the server. To restore them either a new graph can be created and that file can be directly loaded or the current graph can be purged and then reloaded from the file.
Fuseki uses Apache Shiro for security and this allows various user authentication methods, and allows graph level security.
Blazegraph
The Blazegraph admin interface allows for datasets to be cloned, but this button does not appear to function, at least any way that I could find. Ontop of that I could not find any files that could be backed up manually.
Blazegraph has no method for graph level security and thus relies on the Java application server to provide security.
Sesame
The Sesame workbench alows for a graph to be exported through various formats, however this is very slow and comes over uncompressed, which results in far larger files to be generated and transfered. Sesame has no support for graph level security and also relies on the application server.


Alternative measures of labor underutilization for states. These are provided by the Bureau of Labor Statistics for those who want more narrowly or broadly defined measures of unemployment than the official definition (
i.e., those available and who have sought work in the previous four weeks). These alternate meausre include:
- U-1: persons unemployed 15 weeks or longer, as a percent of the civilian labor force
- U-2: job losers and persons who completed temporary jobs, as a percent of the civilian labor force
- U-3: total unemployed, as a percent of the civilian labor force (this is the definition used for the official unemployment rate)
- U-4: total unemployed plus discouraged workers, as a percent of the civilian labor force plus discouraged workers
- U-5: total unemployed, plus discouraged workers, plus all other marginally attached workers, as a percent of the civilian labor force plus all marginally attached workers
- U-6, total unemployed, plus all marginally attached workers, plus total employed part time for economic reasons, as a percent of the civilian labor force plus all marginally attached workers.


{% extends base %} {% block postamble %} {% endblock %} {% block contents %}
This is a Panel app with a custom template allowing us to compose multiple Panel objects into a single HTML document.


The Search Framework Java Class Library provides classes for storing request and response data in the generic Common Search Format.
To use the Search Framework Java Class Library, you need to include this line in your code to refer to the SearchAPI.jar
file:
import com.google.earth.search.api.*;
Be sure the SearchAPI.jar
file is in your CLASSPATH.
The following table summarizes the classes and functions included in this library.
| Class | Description |
|---|---|
| GeomMetaData | A simple data structure for holding per-geometry metadata such as: name - a label for the geometry snippet - a short piece of text to associate with the geometry description - text (possibly lengthy) to associate with the geometry |
| KmlPluginPreferences | Abstract class for pluging preferences for general purpose KML returned by the various Google Earth Search plugins. |
| KmlProperties | A container of KML property keys for use within the search framework. |
| KmlSearchPlugin |
This abstraction provides Kml style search response using KmlPluginPreferences. |
| PluginPreferences | Abstract class for preferences for the KML returned by the various plugins. |
| SearchContainer | The object that stores a single search request issued by any supported interface and stores any number of search responses to this request. |
SearchPlugin |
Interface for the search plug-in application. Provides the init() and doSearch() methods, which the plug-in must implement. |
SearchContainer |
Stores one search request and any number of search responses to this request. |
SearchRequest |
Object that encapsulates the key/value pairs that make up the search query. This class provides the getService() method, which returns the name of the service that should handle this request. |
SearchResponse |
Object that encapsulates one or more results sets created by a single search plug-in application. |
StyleData |
Class for representing styles associated with geometry. Fields are
Currently, styles are recognized only by Google Earth plug-ins. These styles correspond to the KML styles of the same names. (For more information, see the KML Reference.) |


Students in the online cohort had lectures to watch and assignments to complete each week, logging into live classes via video.
Students in the online cohort had lectures to watch and assignments to complete each week, logging into live classes via video.
Students in the online cohort had lectures to watch and assignments to complete each week, logging into live classes via video.
Students in the online cohort had lectures to watch and assignments to complete each week, logging into live classes via video.
Students in the online cohort had lectures to watch and assignments to complete each week, logging into live classes via video.


JQuery Event Handlers
Click
Single Click
Double Click
Focus/Blur
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Representation of data points in a polar coordinate system.
In the top slot, the numerical field used as angular coordinate.
In the left slot, the numerical field used as radial coordinate.
In the bottom slot, an option categorical field used to color the points.
Option 1: Representation of data as points.
Option 2: Representation of data as lines. If a categorical field is specified,
as many lines as categories are displayed.
If the unit is "Radian", the angular coordinate is supposed to vary between 0 and 2π (6.28).
If the unit is "Degree", the angular coordinate is supposed to vary between 0 and 360.
Use the little handle to rotate the circle and position the origin.


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 113489newmembers/94368FeedbackHeineBorelinprogress.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/113489-new-members/topic/Feedback.20(Heine.20Borel.20in.20progress).html


Running shoes
If you wish to purchase in larger amounts please do so here
PLEASE NOTE!If you purchase 50 or more pairs you will have 20% discount.


How much do you know about triangles?
A triangle is a polygon with three edges and three vertices. It is one of the basic shapes in geometry.
An Equilateral Triangle is a triangle whose
3 sides are equal
.
An Isosceles Triangle is a triangle whose only
2 sides are equal
.
A Scalene Triangle is a triangle in which none
of the sides are equal.
Right angled triangle!!
Ever heard of the
Pythagoras' theorem
?
The formula goes as thus:
a2 + b2 = c2


My Movie list
New movie
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Image
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SCI-FI
War
Western
Release
Save
Clear LS


Paying the national debt
Sir, – I would wish that in any election campaign we might reflect on the high amount of national debt we have: somewhere near €200 billion, representing one of the highest debt-to-GDP ratios in the developed world.
This debt has been only stabilised the past 10 years – not reduced by any large measure. Thus before we decide to accept promises of more expenditure on our pressing social issues in a future election, we should ask where the money is to come from for these noble causes and what’s happening to the national debt as a result?
Do we need to spend more money given the national debt, or should we try first to make sure current expenditure is wisely spent? Health being one clear area where we spend comparable EU amounts but get poor returns. What would happen to our national debt in a recession? It’s very vulnerable to economic shocks. The likelihood in such a scenario is cuts to public expenditure and thus we are back on the spend/cut back treadmill that has dominated Irish economics for 40 years.
I’m pretty sure these questions will be ignored in any election but at least I asked!
Raising public debt/expenditure when we have a €200 billion national debt seems to be a crazy endeavour that will inevitably lead to future cutbacks. Sad to say but only the taxpayer could prevent those cutbacks by paying more money. This debt has to be reduced. It’s an iceberg that cannot be ignored. – Yours, etc,
BARRY HAZEL,
Bray, Co Wicklow.


Being John Malkovich (R) **** Starring John Cusack, Cameron Diaz Directed by Spike Jonze Year Released: 1999 A Review by Frankie Paiva
Over the past couple of months there have been many comedies that poke fun at movies, Hollywood, and celebrities. South Park: Bigger, Longer, and Uncut was a brilliant satire on the MPAA and how movies affect our children. The Muse was a great comedy about a writer losing inspiration to write in the rough town called Hollywood. Finally, Bowfinger was a movie all about a group of people trying to make it big in Hollywood by putting a big star in their film. None of these films go anywhere near the fun that is Being John Malkovich. Throughout the film one can’t help wondering how writer Charlie Kaufman came up with these endless plot twists and classic funny moments. Finally we have been shown a movie that makes fun of the celebrities that we know and love.
Craig Schwartz (Cusack escaping his usual cute boyishness type of role) is an out of work puppeteer who’s desperately failing in his career. So he decides to take a job filing at Lestercorp, a company that is on the 7 1/2 floor of a local office building. All of the ceilings where he works are only 5 feet high. The owner of the company, Dr. Lester (Orson Bean) thinks he has a speech problem and that no one can hear him. Because of this, he always seems to be telling everyone his sexual fantasies in gory, graphic detail. The biggest surprise of them all is yet to come.
Do you know who John Malkovich is? Some people don't, some people do. John Malkovich is the popular actor who has appeared in several films including Con Air, In The Line of Fire, and Dangerous Liaisons. He also certainly didn’t star in a movie in which he was an art thief. (Inside joke that you will get after seeing the movie.) What does this have to do with the movie you ask?  If you open the door, and crawl down a long dark brain-like cave you will become John Malkovich for 15 minutes at a time. Then you are dropped from the sky into a ditch on the side of the New Jersey turnpike. Seeing this as a way to get a bitchy co-worker (Catherine Keener) who absolutely detests him, to like him, he shows his secret to her. Craig doesn't seem at all troubled about his attraction to her because he's beginning to think that his wife loves animals more than she loves him.
I can only set up the basic plot because I want you to go and see this masterpiece for our time on your own. In fact, you must go now to the theater and see this film precisely after you read this review. That is not a suggestion, that is a command. Diaz is great (I love her frizzy hair) as the confused wife who is having questions about her sexual identity. Catherine Keener is also funny playing a character somewhat like Karen from the television show Will & Grace. The real standout though is John Malkovich himself, not only is the fact that he agreed to do this amazing he takes on the different aspects of the people inside of him very well. This is an amazing experience that cannot possibly be described in any shape way or form. So stop listening to me, go to the theater now and see the most original film of the year, and certainly one that will make my top ten list. The masterpiece Being John Malkovich gets **** stars.
 Good Age 14 & Up
A Review by Frankie Paiva The 12 Year-Old Movie Reviewer E-Mail me at<EMAIL_ADDRESS>Visit my website at http://www.homestead.com/teenagemoviecritic/mainpage.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% seo %} {% if jekyll.environment == "production" %} {% endif %} {% capture layout %}{% if page.layout %}layout-{{ page.layout }}{% endif %}{% endcapture %}
{% if page.url == "/" %}The portal consists of a collection of essential topics for teams building digital products of platforms. The topics here are curated through volunteering efforts of industry professionals by SLASSCOM.


This website was developed using Hugo
. The theme used is Call me Sam
by Victoria Drake
.
The main page backgrounds is credit to Paul, 2015
Release date = 01.01.2021
Updated = 09.02.2021
- Spring Semester updates (TA responsabilities, subjects and affiliations)


- Structure and Interpretation of Computer Programs
I’m going to try to convince you that data is code. Strap yourselves in!
A cons cell is a way of representing a
pair, and it has two operations, car
and
cdr
, to access the first and
second elements of the pair respectively. In Python, we could construct and
access cons cells as follows:
= lambda a: lambda b: (a, b)
cons = lambda cell: cell[0]
car = lambda cell: cell[1] cdr
Let’s create a pair and get the second element:
>>> p = cons(1)(cons(2)(()))
>>> car(cdr(p))
2
It turns out that cons cells are all you need to implement singly linked lists.
For example, lists in Lisp are implemented as a series of nested cons cells. A
list is either empty (represented above by ()
) or a cons cell where the first
element of the pair is the head of the list and the second element of the pair
is the rest of the list. Using our above definitions in Python, the list [0, 1, 2, 3]
would be represented as (0, (1, (2, (3, ())))). In code, this would
be:
0)(cons(1)(cons(2)(cons(3)(())))) cons(
One way of visualising the above list is as follows:
cons
/ \
0 cons
/ \
1 cons
/ \
2 cons
/ \
3 ()
Suppose we wanted to access the second element of this list. We could express
this as the car
of the cdr
of this list. In code:
>>> example = cons(0)(cons(1)(cons(2)(cons(3)(()))))
>>> car(cdr(example))
1
So far we’ve defined functions that wrap Python’s tuples, and we’re still in data land, working with those tuples. But it doesn’t have to be this way.
You may have noticed that my definitions above were all functions of one argument. This was not entirely coincidental: cons cells as described above are very similar to Church pairs, which are a way of representing pairs in the lambda calculus. Let’s make a minor change to the above definitions:
= lambda a: lambda b: lambda f: f(a)(b)
pair = lambda p: p(lambda a: lambda b: a)
fst = lambda p: p(lambda a: lambda b: b)
snd = lambda a: a nil
We can recreate the pair above:
>>> p = pair(1)(pair(2)(nil))
>>> fst(snd(p))
2
Our pair p
is now a function, but it is representing the same data as above.
As an aside, the functions we use in fst
and snd
are Church
booleans that
encode true
and false
in the lambda calculus. We can rewrite our definitions
with this new knowledge:
= lambda a: lambda b: a
true = lambda a: lambda b: b
false = lambda p: p(true)
fst = lambda p: p(false) snd
We can perform the same operations as before to get the second element of our list:
>>> example = pair(0)(pair(1)(pair(2)(pair(3)(nil))))
>>> fst(snd(example))
1
Now we’ve moved to function land, and there are no tuples in sight. All we need are functions of one argument, which is convenient because this is all that lambda calculus gives us. Fortunately, lambda calculus is Turing complete and therefore enough.
Our code is represented as bits in memory i.e. data, but our data can be represented as functions i.e. code. You might say that bits and bytes are the lowest level representation and therefore somehow more fundamental than code, but even our data is just an undistinguished pattern of 1s and 0s without some code to make sense of it. It really is turtles all the way down.
There are much more comprehensive treatments of this material available online. I’m aware of Matt Might’s and James Tauber’s.
Many thanks to Andy Lee, Juan Soto, and Sarah Ransohoff for their excellent feedback on on this post.


WQMY
Fair's Fair (for Book Lovers) Inc Calgary Plus.ca
Nov 30, 2008 . This local used bookstore is dedicated to nurturing Calgary's desire to read more.
http://www.calgaryplus.ca/calgary/venues/fairs-fair-for-book-lovers-inc
Fair's Fair (For Book Lovers) Inc - 1430-1609 14 St SW, Calgary, AB
Fair's Fair (For Book Lovers) Inc - Calgary - phone number & address - AB - Book Stores, Used & Rare Book Stores.
http://www.yellowpages.ca/bus/Alberta/Calgary/Fair-s-Fair-For-Book-Lovers-Inc/1816481.html
Used Books, Out-of-Print Books | Calgary, AB
Take a literary trip of fun and adventure with used and out-of-print books from Fair's Fair for Book Lovers Inc. in Calgary, Alberta.
http://www.fairsfair.com/
Contents |
[1960 jet pack cartoon] History
Fair's Fair For Book Lovers - Calgary, AB
13 Reviews of Fair's Fair For Book Lovers "Fair's Fair in Mount Royal has a well stocked store, friendly staff and cheap books. They are fair with what books they .
http://www.yelp.com/biz/fairs-fair-for-book-lovers-calgary-3
JoyFull Promotions Wholistic Information Display Locations in ...
Calgary health food stores, coffee shops, stores, small businesses, restaurants listings, addresses, links. . Fair's Fair Books: www.fairsfair.com - Chinook .
http://www.joyfullpromotions.com/html/display_locations.php
Fair's Fair (For Book Lovers) - Calgary, AB
6 Reviews of Fair's Fair (For Book Lovers) "Far better than expected and a new hidden gem to me. I have literally walked or drove by this place a million times .
http://www.yelp.com/biz/fairs-fair-for-book-lovers-calgary
Fair's Fair Books - Calgary, AB - Book Store | Facebook
Fair's Fair Books, Calgary, AB. 677 likes · 12 talking about this · 36 were here.
http://www.facebook.com/FairsFairBooks
Calgary Transit: Fares
Fares See Transit Fare Vendors >>. Calgary Transit has a variety of fare . Choose the fare payment method that best suits your needs. . Adult (Book of 10) .
http://www.calgarytransit.com/html/fares.html
Used & Rare Book Stores in Calgary AB | YellowPages.ca
Locate and compare Used & Rare Book Stores in Calgary AB, Yellow Pages Local Listings. . Fair's Fair (For Book Lovers) Inc - Used & Rare Book Stores - 4.0 .
http://www.yellowpages.ca/search/si/1/Used+%26+Rare+Book+Stores/Calgary+AB
Used Books, Out-of-Print Books | Calgary, AB | Sell Books - Fair's Fair
Take a literary trip of fun and adventure with used and out-of-print books from Fair's Fair for Book Lovers Inc. in Calgary, Alberta.
http://www.fairsfair.com/sell-books.html
Trade Shows in Calgary,Trade Fairs in Calgary,Calgary Trade ...
. self understanding... Visitor Registration Book a Stall . Arts & Crafts: Calgary Moms Trade Fair is a free fun event for the whole family. The daylong event will .
http://www.biztradeshows.com/canada/calgary/
Fair's Fair (For Book Lovers) - Chinook in Calgary, AB | LibraryThing ...
Fair's Fair (For Book Lovers) - Chinook in Calgary, AB. LibraryThing Local covers bookstores and libraries, and book events of all kinds.
http://www.librarything.com/venue/78377/Fairs-Fair-For-Book-Lovers-Chinook
Fair's Fair 'For Book Lovers' - Calgary, AB
Jan 21, 2010 . 1 Review of Fair's Fair 'For Book Lovers' "I had a whole whack of books to get rid of, so I thought I would take them into Fair's Fair and see what .
http://www.yelp.com/biz/fairs-fair-for-book-lovers-calgary-4
Book Cheap Flights from Calgary to Montreal (YYC to YMQ ...
Book Cheap flights from Calgary to Montreal, (YYC, YMQ), on CheapOair.ca! . This attraction was the site of the 1967 World's Fair which is now devoted to the .
http://www.cheapoair.ca/flights/cheap-flights-from-calgary-to-montreal-yyc-ymq
[henry kissinger's work as a scientist] Digital channels
| Channel | Name | martial arts flowery branch ga | bed n breackfast hove brighton | Programming |
|---|---|---|---|---|
| 53.1 | calgary fairs fare books DT | barbara ann's country home furnishings | trace adkins sunday morning coming down | Main calgary fairs fare books programming / MyNetworkTV |
| 53.2 | WOLF DT | rcbs no 14 rotor | repair thinkpad rage mobility restore display | Simulcast of urban school financial problems |
| 53.3 | WSWB DT | 480i | 4:3 | Simulcast of childrens attendance at funerals |
Cheap Flights to Calgary, Canada (YYC) - from $258 RT - TripAdvisor
Cheap Flights to Calgary: Enter your dates once and have TripAdvisor search . Pricing and fares have been collected during the three days prior to today's date. . also offer courtesy shuttles, so be sure to check when you book your Calgary, .
http://www.tripadvisor.com/Flights-g154913-Calgary_Alberta-Cheap_Discount_Airfares.html
[eva second wedding dress] References
[e-machine t2824 motherboard fuse location] External links
- remote codes for vcr dvd combo
- clanton malphus hodges vet
- ring tones and cell phone accesories
- samsung mythic drivers modem
- brewpubs in staten island ny
- business and debt consolidation loan
|
|


Marketing Specialist
Founder & President
Vice President
Financial Specialist
A small group of students currently focused on advanced automated drone technology and the implications it provides. We expect to begin a new project winter of 2018! If you are interested in getting involved, please reach out to our President Haig Douzdjian.


Satisfy your ultimate lunchtime cravings with this easy recipe for the best grilled cheese hot dogs. Grilled Cheese Hot Dogs are a super fun and tasty combination of 2 classics- Grilled Cheese and Hot Dogs.


Remember we talked about using aliases to fix typos recently? ([It's here if you missed it](https://duck.co/blog/post/309/weekly-update-102-a-slack-milestone#tip)). Well here's another typo tip, this time using `shopt`. It's a built-in BASH command, short for "shell options", and contains this gem:
`shopt -s cdspell`
Running this command doesn't seem to do anything at first, but when you then move directories using `cd`, it will try to fix any spelling mistakes you make. For example, all of these:
`cd Documnets`
`cd Document`
`cd Dcuments`
will be understood and you'll be moved to the `Documents` directory. Pretty cool, huh? Don't forget, you'll need to add the `shopt -s cdspell` command to your .bashrc or .bash_profile file for this to work every time you open the terminal.


Congratulations to The Springboard Foundation for a wonderful evening celebrating 20 years of grant making! #WFF feels beyond thankful to be a part of the Springboard family and connect with so many other incredible nonprofits doing good! Another shoutout to Bella Cuisine Kids Cooking Club , way to go on your graduation grant! #TogetherWeWin #PitchIn
Congratulations to all #PitchIn students, you did it! So great to see each student graduate to the next grade, receive honor roll awards, and a few Teacher's Choice award recipients!
#PitchIn 5th and 6th grade students enjoyed a musical workshop with Emerald City Theatre for our last day of summer camp! Thank you for hosting us and teaching us the extra fun moves and lyrics to The Wiz! #TogetherWeWin
This past weekend our almost 7th grade #PitchIn students went on our first overnight trip with Chicago Voyagers! We had an absolute blast camping, canoeing, hiking and learning how to cook over the campfire! Our camp leader, Bess, led us on an incredible journey through team challenges, nature trails, waterways and taught us how to be responsible campers!


Gavetas Clash Royale Community
Para ver a nova versão clica
aqui 🆕
Check Player
(Player trophies are not a main requirement 👍)
Join Us on Discord
Table 📑
Ranks 📈
Caption
Members Total
Lvl
Experience Level
Trophies
Win Rate Ladder + Challenges
W
Number of Wins in Wars
MAX
Cards Max level
Cards level 12
Cards level 11
Cards level 10
Cards level 9
Name
Lvl
W
MAX
This ranks are based on the last 10 completed wars
Top War Win Rate
copy
Worst War Win Rate
copy


I am currently a quirky and fun-loving science teacher who loves working with students, their families, and colleagues to deliver Environmental Science and Astronomy content in a meaningful and innovative way. I wake up every day passionate about what I do, and excited to grow and develop as a STEM educator. Through my constant search for personal and professional development, I have discovered the potential benefits of integrating technology in education in meaningful ways.
This is what sparked my interest in Software Engineering and Web Development. I started my journey not necessarily seeking to change careers, but to become a computer science teacher myself, an area in growing high demand. Thus, I enrolled the Chicago-based web development bootcamp called, “Actualize”, and internship with the non-profit organization, "The Difference Engine". It was through this process that I realized my potential and interests in software development, and that I could still be a mentor and teacher to others entering the field outside of the walls of the classroom. Because of my experience and interest in education, I look forward the potential of joining an Educational Technology company, or a company that is equally invested and committed to the people their product serves.


A modal displays content that temporarily blocks interactions with the main view of a site
The modal system is designed to be as flexible as possible.
Each modal has two possible outcomes, approve
or deny
, carrying a distinct result respectively, defined by the user.
Transitions are built in and fully customisable, with timing handled out of the box (i.e. events don't fire until the modal has finished transitioning).
Adding the autofocus
attribute to an element inside the modal will give it focus when the modal opens.
Creating modals can be done in 3 distinct ways, each shown below:
This is the most simple form of modal dialog. They're created and used by adding a <sui-modal>
element to your component:
Note the use of #modal
, used to access the approve
and deny
methods.
Automatic modals are named as such because they open as soon as the component is rendered (i.e. you cannot control when they open).
Therefore, the specific use case for this modal are routes in which the route opens up a modal dialog. To do this, set the route to be
a component with an automatic modal and it will open immediately. You can then set the router to navigate when the dismissed
event fires, e.g. (dismissed)="router.navigate([...])"
.
Template based modals are intended to be used as 'one off' modals, i.e. modals that cannot be easily reused elsewhere.
As with component based modals, they're controlled by the SuiModalService
which provides the ability to open a modal on the page.
To open a template based modal, first you must write a template, using let-context
and let-modal="modal"
to
access the context and controls respectively.
Next, get access to your template from your component, and ensure you've loaded the modal service:
The three generic type paramaters of ModalTemplate
are:
approve
result typedeny
result type
In this case, the context is an object with a data:string
property, and modal
passes string
values to both approve
and deny
.
Lastly, the modal can be opened as follows:
So, all together:
Component based modals are intended to be used as 'reusable' modals, i.e. modals that can easily be repurposed to fit elsewhere.
They provide an easy way to generate generic modals for your entire application with minimal effort, for example to easily replace
alert
, prompt
& confirm
calls.
As with template based modals, they're controlled by the SuiModalService
which provides the ability to open a modal on the page.
In this example, you will be run through the process of creating a replacement for confirm
.
The first step is creating a component that acts as the modal content. For this, you need to define the interface for the modal context,
as well as including SuiModal
in the constructor - which is automatically injected into the component when it is generated
and allows access to the approve
and deny
methods, as well as the aforementioned context.
Now the content component is set up, you must add it to entryComponents
in the NgModule
it's declared in,
as otherwise Angular won't let you use it.
Next, define a helper class that automatically configures all new modals of this type:
Lastly, to then use this new type of modal, do the following:
So, all together:


SDK:
This inspection reports when the '==' or '!=' operator was used between expressions of reference types.
Classes to be inspected are controlled by a semi-colon separated
Options
list in the preferences panel for this inspection.


New York Traffic Collisions 2015-2017
Basic Stats - Machine Learning - Geoplotting - d3.js Visualization
The following analysis is a final project created by two master students during the spring semester
2017 in the course (02806) Social data analysis and visualization, run by Sune Lehmann and the Technical University of Denmark.
The main topics of the course, besides python programming, are machine learning and data visualization (D3.js). The project has hence been thought out to leverage the techniques we've learned in those topics.
While traffic collisions have a significant impact on our lives the current analysis focuses on exploring the Data collected by NYPD and published by NYC OpenData during 2015-2017. Furthermore data from N.Y. yellow taxi used to estimate the traffic areas and correlate them to the accident sites. Our purpose is to find out why accidents happen and help to prevent them.
The following Scatter Plot shows the 10 most frequent factors of car collisions. Click on each circle to get info for the borough with the most accidents of the specific factor.
100
Performing Kmeans clustering to all the collision incidents allowed us to define the centroids for 2, 3 and 4 clusters as shown below with red circles. The same actions performed on the yellow taxis pickup data of January ,shown below with blue colour, in order to find out if there is any correlation of the traffic and accidents areas. Hover over the buttons to preview or click to explore the results.
We are thrilled that we met our expectations for the project. We managed
to get an insight of the N.Y. traffic collision and provide to the user the ability to
see the basic stats, get an overview of the most frequent factors of accidents, the borough
that they occure and how the accidents spread during the day. Taking in consideration the pick up -
drop off taxi data we made a D3.js geo plot presenting the centroids of the clustering both
for accidents and traffic.
Another very interesting machine learning technique was implemented. The decision tree classification, that can predict
where an
accident occured given the factor, time and the type of the vehicle, can be found on the Jupyter notebook.
For a more detailed analysis as well as our own denouements please
check out our Jupyter Notebook on NBviewer bellow.


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API,routes,controllers,fornt-end,designing etc.
handling full adroid application and data providing.
Database designing , helper methods ,algorithmic parts.


REVERSE PITCH is an initiative that allows companies to present their energy and clean tech-related challenges to an audience of entrepreneurs with strong expertise in technology and knowledge in these fields that will help to develop the solutions.
The ultimate goal is to solve problems, encourage innovation, create value, and generate business opportunities in an exclusive event.
Companies present their challenge (pitch) to an audience of specially curated startups followed by a networking cocktail.
Startups have access to additional information (Q&A) and one month to submit an initial proposal for the company.
If the company is interested, the startup can be hired or the project can be submitted for funding by InnoEnergy, under the highway of innovation projects programs.
Projects may have their development funded by InnoEnergy as an Innovation Project.
Cristina Correia
PRIO
“To be part of the first InnoEnergy Reverse Pitch has allowed PRIO to share a real problem of our business…”
“In InnoEnergy’s Reverse Pitch we were delighted to meet the scope of different startups…”
Bruno Santos
Portgás
Bruno Santos
Portgás
“In InnoEnergy’s Reverse Pitch we were delighted to meet the scope of different startups…”
Tomé Canas
The Navigator Company
“A good value proposition to explore challenges and ideas with external partners.”
InnoEnergy is an European company dedicated to promoting innovation, entrepreneurship and education in the field of energy efficiency and sustainable energy industry. Its main goal is to create a positive impact on energy sustainability in Europe, by changing the perceptions of people and by the creation of innovative products and services that encourage the emergence of successful companies.
imatch works to create a creative collaboration culture towards innovation, believing that people are the key to solve the ever increasing complex problems of organizations and the world.


Edit Image
Gaussian
Blur
Invert
Greyscale
Gaussian Percentage:
Blur Percentage:
Please select a file!
Click here to view Folder
Select Editor
Jimp
OpenCV
Topaz
Neural Style


Check console for messages.
This test loads two different versions of a module by using the "context" settings for require.
It also tests loading a plain js file.


"Upload a list" - select a json file from your PC. If the format is not right nothing will happen.
"Upload a list from clipboard": paste the copied text in the newly generated textarea. You can also use this to add a bunch of new elements to an already existing list.
"Add new element": add 1 new element at the end of the list. You can open and edit an element by clicking on the name. A dropdown box with a preview and edit box will pop up. You can edit the values in the edit box and they will automatially apply.
"X": Delete button used to remove single element.
"Save": download a new materials.json made from your list.


One of the cooler public art pieces we’ve seen - at Brooklyn Bridge Park.
Shibuya Crossing in Tokyo. Some people just find it more interesting than others..


{%extends "layout.html"%} {%block content%}
This is a test website developed in Python and Bootstrap.
All the resulting pages are betterments to the material learned on the
Udemy's The Python Mega Course: Build 10 Real World Applications, by Ardit Sulce.
The following packages were used in order to develop and deploy the application to Heroku.


This exampull will be checkd fur spellung when you try to edit it.
This exampull will nut be checkd fur spellung when you try to edit it.


Contact Me
I can be reached at by any of these methods:
Email<EMAIL_ADDRESS>Send mail
Github: bjkropff
Linked In: Linkedin.com/in/briankropff
Back to
BrianKropff.com


Massive Computational Experiments, Painlessly (STATS 285)
Stanford University, Fall 2018
Lecture videos for STATS285, Fall 2017
Lecture01: Revolutions Everywhere (Donoho/Monajemi)
Lecture02: The Cluster Scaling Revolution, and ClusterJob (Monajemi/Donoho)
Lecture03: Occupy The Cloud (Eric Jonas)
Lecture04: Reproducibility in Computational Science (Victoria Stodden)
Lecture05: CodaLab (Percy Liang)
Lecture06: Scaling Python to GPUs and clusters: Dask and Numba and ideas for future work (Travis Oliphant)
Lecture07: IT for research: a journey from in-house HPC clusters to public cloud infrastructures (Riccardo Murri)
Lecture08: Data Engineering and Data Science with Databricks and Apache Spark (Andy Konwinski)
Lecture09: Push-button Deep Learning on the Cloud (Monajemi/Donoho)
Lecture10: Looking Back/Looking Ahead (Donoho/Monajemi)
Go back to home


Upload pictures here
Select photos below. When they are uploaded, a story will be generated for each of them and they will appear below.
Select photos below. When they are uploaded, a story will be generated for each of them and they will appear below.


From people for other people
All pictures of humanity allow to Express ideas, and therefore store information. Paintings, drawings, photos, videos - everything that is directly for viewing by a person.
All types of book in what people write their thoughts. Stones, wood, clay, wax, leathet, paper. Everything fits if you can scratch on it.
Traditionaly people used to write something some types of codes, written on something flat. But some Nations have probably come to the conclusion that it is too simple.
They uses nodes on wool strings to code something.
From people to machines
All types of storage devices, which can be read without electricity (maybe it may not be what you want, but still)
Was used for making programming patterns on Jacquard machine in 1804.
Evolutionary continuation of the punch card. First usage possible was in Player piano in 1887.
A lot of kindes of devises for vibration recordings like phonograph wax cylinders.
First units that allows to store any types of information (yes, video, photo and programms too).
Modulation give wide field to usage of it.
(another yet)
In 50's evolution has taken a new turn. Punched cards was used for programming. Again. Now for commutating circuits.
Mostly electrical, but not without mechanics.
Second type of storage units, which can store all types of information. The most capacious. And the longest-used. We all use it as harddrive.
About light, mechanics and electricity
One of first techlologies for sounded films. Based on optical modulating of sound waves on film stock. Due to the modulation theoreticaly can store everything.
One of the shortest lived storage units. They was invented in 60's and forgotten in 10's. But it most the longest-lasting unit.
Can used to store only text, but we can not image modern world without this small black and white pictures.
Celebration of semiconductors.
Top of humankinds ingenuity. Many types of chips. So identical and so different.
EEPROM, NVRAM, PROM, FLASH etc. So complex and so fragile.


Cleaner class This class is a protected derived class of base class Goals. This class contains functions which initialize action client. This class also uses functions from Goals class to send goals sequentially to move_base.
More...
#include <Cleaner.h>
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| | Cleaner (const std::vector< std::vector< double >> &_Goals) |
| | Constructor for Cleaner Class Takes Goal Points in _Goals and stores them in a vetor of vectors named Goal_Points. More...
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void | Clean_Room () |
| | Clean_Room Initializes action client to communicate with move_base This function sends goals to move_base.
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virtual | ~Cleaner () |
| | Destructor for Cleaner Class.
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| void | Set_Current_Orientation (std::vector< double > &Next_Goal, move_base_msgs::MoveBaseGoal &goal_point) |
| | Set_Current_Orientation a function to set goal's Orientation. This function sets the goal's orientation when given a goal point. More...
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| Goals () |
| | Constructor for Goals Class.
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| double | Set_Current_X (std::vector< double > &Next_Goal, move_base_msgs::MoveBaseGoal &goal_point) |
| | Set_Current_X a function to set goal's X coordinate. This function sets the goal's X coordinate when given a goal point. More...
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| double | Set_Current_Y (std::vector< double > &Next_Goal, move_base_msgs::MoveBaseGoal &goal_point) |
| | Set_Current_Y a function to set goal's Y coordinate. This function sets the goal's Y coordinate when given a goal point. More...
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virtual | ~Goals () |
| | Destructor for Goals Class.
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| std::vector< std::vector< double > > | Goal_Points |
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| std::vector< double > | Get_Goal |
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Cleaner class This class is a protected derived class of base class Goals. This class contains functions which initialize action client. This class also uses functions from Goals class to send goals sequentially to move_base.
| Cleaner::Cleaner |
( |
const std::vector< std::vector< double >> & |
_Goals | ) |
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explicit |
Constructor for Cleaner Class Takes Goal Points in _Goals and stores them in a vetor of vectors named Goal_Points.
- Parameters
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| _Goals | vector of vectors of type double |
The documentation for this class was generated from the following files:


Ronaldo Spills Further Beans On Sarri Drama
by David KappelCristiano Ronaldo has cast further light on his situation at Juventus after he was seen reacting furiously to being substituted by Maurizio Sarri, seemingly taking some of the blame himself.
Click through the gallery above to see some coaches Ronaldo has had disagreements with in the past.
When the Portuguese was substituted for a second successive game in Juventus' 1-0 win over AC Milan, with his replacement Paulo Dybala scoring the winner, he was visibly upset about being taken off and headed straight down the tunnel, before reportedly even leaving the stadium early.
He has since explained that he has been playing with an injury problem, but does not like to be substituted.
The 34-year-old has now admitted that either him or Sarri could have done a better job of explaining the situation in order to prevent the commotion it ended up causing.
"In my career, I never had serious injuries, as I usually do between 50 and 60 games, but I am having some discomfort that prevent me from being at 100%," Ronaldo said, as quoted by Marca.
"Someone should have said something, especially the coach or myself, but you know I don't usually talk to the press a lot."
Download The Soccer Laduma Social Media App & Earn Airtime for Selfies!
Ronaldo also commented on qualifying for the 2020 UEFA European Championship after Portugal booked their ticket following a 2-0 win over Luxembourg.
"The target was to be in the Euros and we have achieved it," he continued.
"But the fact that we won in 2016 doesn't mean that we are favourites. We are a team who are difficult to beat, but other sides are the favourites.
"I am very happy to play in my fifth European Championship."
Read: 10 Players Who Left Real Madrid Because Of Ronaldo
Ronaldo will now return to Juventus, whose next match is against Atalanta on Saturday.


Date and Time Reported :
August 15, 2015 3:30PM
Origin Address of Report
: Meralco Gym Ortigas Avenue, Metro Manila, Pasig 1605, Philippines
Nearby establishments with CCTV camera. (Request the footage for the time reported)


ChlamBase.org, a fork of WikiGenomes.org, is an open source,
user-curated database of functional annotations
for 3 model Chlamydia species: C. trachomatis 434/BU ( LGV L2 ),
C. trachomatis D/UW-3/CX, and C. muridarum Nigg.
A primary goal of this portal is to provide a powerful user-oriented experience tailored to the
research interests of the Chlamydia research community, and to the unique biology of Chlamydia.
A central feature of ChlamBase is to allow users to view, add, and edit:
evidence-based gene annotations, engineered mutant strains, orthologous gene comparisons,
developmental gene expression and host interaction targets


Welcome to AdviceNYC
Click me.
The Statue of Liberty (Liberty Enlightening the World; French: La Liberté éclairant le monde) is a colossal neoclassical sculpture on Liberty Island in New York Harbor in New York, in the United States. The copper statue, a gift from the people of France to the people of the United States, was designed by French sculptor Frédéric Auguste Bartholdi and its metal framework was built by Gustave Eiffel. The statue was dedicated on October 28, 1886.


Array Vs. Hashes
What is the difference?
5th April, 2015
The first thing anyone reading this blog should understand is that both Arrays and Hashes are used to store information in a type of a table.
Lets take about a Array first. Think about a table with 2 columns the first one is a "key" and the second one is a "value".For all arrays, the "key" is defined by Ruby as integers values in order stating from 0. For example make a table called "Balls" and put 3 different types of balls basketball, football and baseball. So, in your column called "key" you would have 0, 1, and 2 while in your column called "value" you would have basketball, football, and baseball. In Ruby code it would look like: balls["basketball","football","baseball"]
Now lets say someone asks you what is on row 2 of your Balls table? You would just go look at it the key column and find 2 and then look at the value column to find "baseball", since our column starts with key value of 0 not 1. In Ruby code you would have: balls[2], which would give you "baseball" as an output.
If you compare hashes to arrays, you would only see one difference. The "key" of arrays can be defined by the user and it's stored in the first column of the table as a object value. Keys for the hash table can be any value the user wants which gives the users more flexibility in creating the table.
Lets create a example hash table called highschool where we would store the highschool grades in the key column and the proper name of the grade in the value column. So in your key column you would have Ninth, Tenth, Eleventh, and Twelfth while on the value column you would have Freshman, Sophmore, Junior, and Senior. In ruby code you would create this in the following format: highschool = {'Ninth' => 'Freshman', 'Tenth' => 'Sophmore', 'Eleventh' => 'Junior', "Twelfth" => 'Senior'}
Now since you are using a hash table you would have to give the key and the code would tell you what value corresponds with the key. So let us say that you wanted to know what you call a Tenth grader you would just run the following code: highschool['Tenth'] with would give you "Sophmore" as an answer.
For most, Arrays are very easy to understand because it has integers as its defined "key" but now you can see that Hash tables are also exactly the same except you can define your own key.


Dim
public class Dim
Describes a dimension which can be an absolute value, a percentage, fill, or a reference to a dimension of another view
To create a Dim
object, you can choose from one of the following options:
Dim.sized(n)
creates an absolute dimension of size nDim.percent(n)
creates a dimension that reprensents the n% of the containerDim.fill(margin)
creates a dimension that fills to the end of the container dimension, leaving the specified margin on the sideDim.width(view)
andDim.heigh(view)
are used to reference the computed width or height of another view.
Dim objects can be combined using the addition and substraction operators to create various rules, like for example:
password.width = Dim.width(login) - Dim(4)
-
Creates a percentage Pos object, the percentage is based on the dimension of the container This initializes a
TextField
that is centered horizontally, is 50% of the way down, is 30% the height, and is 80% the width of theit added to. var textView = TextView () textView.x = Pos.center (), textView.y = Pos.percent (50) textView.width = Dim.percent (80) textView.height = Dim.percent (30)
Declaration
Swift
public static func percent(n: Float) -> Dim
Parameters
n
A value between 0 and 100 representing the percentage.
remain
If
true
the Percent is computed based on the remaining space after the X/Y anchor positions. otherwise it is computed on the whole original space. -
Creates a dimension that fills until the end, leaving the specified margin at the end
Declaration
Swift
public static func fill(_ margin: Int = 0) -> Dim
Parameters
margin
optional, the margin to leave at the end
Return Value
a new dimension that can fill the dimension leaving the specified martin
-
Creates an Absolute
Dim
from the specified integer value.Declaration
Swift
public static func sized(_ n: Int) -> Dim
Parameters
n
the size to allocate
Return Value
a new dimension that is set to the absolute size
n
-
Produces a dimension that adds the two specified dimensions together
Declaration
Swift
public static func + (lhs: Dim, rhs: Dim) -> Dim
-
Produces a dimension that subtracts the second dimension value from the first
Declaration
Swift
public static func - (lhs: Dim, rhs: Dim) -> Dim
-
Produces a dimension that adds the two specified dimensions together
Declaration
Swift
public static func + (lhs: Dim, rhs: Int) -> Dim
-
Produces a dimension that subtracts the second dimension value from the first
Declaration
Swift
public static func - (lhs: Dim, rhs: Int) -> Dim
-
Creates a dimension that represents the width of the referenced view.
There should be no cycles in the references, if there is a cycle, the layout system will throw an error
- Paramter view: the view from which the width will be computed
Declaration
Swift
public static func width(view: View) -> Dim
-
Creates a dimension that represents the height of the referenced view.
There should be no cycles in the references, if there is a cycle, the layout system will throw an error
- Paramter view: the view from which the width will be computed
Declaration
Swift
public static func height(view: View) -> Dim


The ASUS ZenFone 6 beats the big guys to Android 10
Source: Android Central
What you need to know
- ASUS ZenFone 6 is getting Android 10 now.
- Impatient owners can flash the updated firmware.
- Android 10 adds gesture navigation and dark mode.
One of the benefits of buying a plucky unlocked phone from a smaller manufacturer is the possibility of receiving the newest software faster, and that's just what ASUS is delivering with the latest ZenFone 6 update. Android Police reports that ASUS is rolling out Android 10 with the latest October 2019 security updates right now. It is possible to force the download by flashing your firmware, but this could bork your phone if you don't know what you're doing.
Android 10 brings gesture controls to the ZenFone 6, as well as improved permission dialogues and more stuff that you can read about here in our big Android 10 round-up! ASUS keeps its software footprint minimal on the user interface, so ZenFone 6 owners should see all of the new Android 10 goodness, including improved themes and the system-wide dark mode.
You can check out our review of the ASUS ZenFone 6 here. The device has a funky design with a flip-over camera setup, and were impressed at the quality ASUS delivers for the relatively low price. If you're looking at other independent phone makers like OnePlus, the ASUS ZenFone is a worthy competitor, but of course the latest OnePlus 7T was the first device to run Android 10 out of the box.
ASUS Updated
ASUS ZenFone 6
A great phone for selfie-takers who want the latest Android
We didn't expect that one of the most interesting flagship phones of 2019 would come from ASUS, of all companies. We also didn't expect to see Android 10 rolling out to this unique device within 2 months. It's a device with top-tier specs and competitive pricing, and now it has the latest system and security features.
We may earn a commission for purchases using our links. Learn more.


The following code contains two variables:
myObj and yourObj.
myObj is declared
as type GeneralCase and assigned an instance of a subclass
of GeneralCase called SpecificCase.
yourObj is declared as type SpecificCase.
GeneralCase myObj = new SpecificCase(); SpecificCase yourObj;
Can yourObj can it be assigned to myObj using the following statement?
yourObj = myObj;
There are no hints for this question


Find out how to start using DotNet.Safe
This page will explain how to download and import DotNet.Safe into one of your own projects, as well as how to check whether a project is compatible.
Download the package from NuGet and have it installed, referenced and updated hassle-free. Follow the appropiate set of instructions below:
If you are curious and want to see how it all works on the inside, check out the sources for Myra.
DotNet.Safe is available on GitHub. That's where most of its development work takes place. Feel free to go take a look and poke around. The chances of causing a global apocalypse are very slim, by our calculations.
It depends on what platform your project is using. Check the following table to see the minimum compatible versions for each available platform.
| Target type | Platform name | Required version |
|---|---|---|
| Stable | .NET Standard | 2.0 |
| Preview | .NET Core | 5.0 |