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Package org.dnsge.powerschoolapi.detail
Class CourseGetter
- java.lang.Object
-
- org.dnsge.powerschoolapi.detail.CourseGetter
-
public class CourseGetter extends java.lang.Object
Class for filtering / searching for courses in an ArrayList by different attributes like name, frequency, or teacher last nameAllows the use of method chaining
- Version:
- 1.0
-
-
Constructor Summary
Constructors Constructor Description CourseGetter(java.util.List<Course> courses)
Creates the CourseGetter with a preliminary list of Courses
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description CourseGetter
containsByFrequency(java.lang.String courseFrequency)
Limits remaining courses to contain the frequencyCourseGetter
containsByName(java.lang.String name)
Limits remaining courses to contain the nameCourseGetter
containsByTeacherLastName(java.lang.String teacherLastName)
Limits remaining courses to contain the teacher last nameCourse
first()
Course
get(int index)
Gets the nth resultCourseGetter
limitByFrequency(java.lang.String courseFrequency)
Limits remaining courses to have the exact frequencyCourseGetter
limitByName(java.lang.String name)
Limits remaining courses to have the exact nameCourseGetter
limitByTeacherLastName(java.lang.String teacherLastName)
Limits remaining courses to have the exact teacher last namejava.util.List<Course>
results()
int
size()
Returns the number of results.
-
-
-
Constructor Detail
-
CourseGetter
public CourseGetter(java.util.List<Course> courses)
Creates the CourseGetter with a preliminary list of Courses- Parameters:
courses
- ArrayList to search through
-
-
Method Detail
-
limitByName
public CourseGetter limitByName(java.lang.String name)
Limits remaining courses to have the exact name- Parameters:
name
- Exact name to find- Returns:
- this CourseGetter with updated information
-
containsByName
public CourseGetter containsByName(java.lang.String name)
Limits remaining courses to contain the name- Parameters:
name
- Name to find- Returns:
- this CourseGetter with updated information
-
limitByFrequency
public CourseGetter limitByFrequency(java.lang.String courseFrequency)
Limits remaining courses to have the exact frequency- Parameters:
courseFrequency
- Exact frequency to find- Returns:
- this CourseGetter with updated information
-
containsByFrequency
public CourseGetter containsByFrequency(java.lang.String courseFrequency)
Limits remaining courses to contain the frequency- Parameters:
courseFrequency
- Frequency to find- Returns:
- this CourseGetter with updated information
-
limitByTeacherLastName
public CourseGetter limitByTeacherLastName(java.lang.String teacherLastName)
Limits remaining courses to have the exact teacher last name- Parameters:
teacherLastName
- Exact last name to find- Returns:
- this CourseGetter with updated information
-
containsByTeacherLastName
public CourseGetter containsByTeacherLastName(java.lang.String teacherLastName)
Limits remaining courses to contain the teacher last name- Parameters:
teacherLastName
- Last name to find- Returns:
- this CourseGetter with updated information
-
results
public java.util.List<Course> results()
- Returns:
- New ArrayList Object with the results of the filtering
-
size
public int size()
Returns the number of results.- Returns:
- the number of results
-
get
public Course get(int index)
Gets the nth result- Parameters:
index
- Result number to get- Returns:
- Result at the requested index
-
first
public Course first()
- Returns:
- First Course in the results
-
-


vignettes/annual_reports.Rmd
annual_reports.Rmd
All water quality data, historical and present, is accessed through the Water Information Reporting portal maintained by the Department of Water and Environment link. Data should be downloaded for the Canning Estuary and the Swan Estuary sites using the keywords search terms "SG-E-CANEST" and "SG-E-SWANEST" respectively. Data requested should be "Water Quality (discrete) for Site(s) cross-tabulated" and as the data size is large, requests should be split into appropriate yearly chunks. This data is the starting point for using the functions that follow to produce plots and tables for the annual reports. It is suggested that the original downloads be kept and the data simply updated yearly.
The plots created by the functions are output as panel plots and follow the same format as previous annual reports. A panel is based on a variable and contains a separate plot for each combination of ecological management zone (emz) and sampling method. Visualisation consists of:
The tables generated from the same functions contain counts, minimums, maximums and medians for the current reporting period per month. These are summarised by emz and sampling method and can be copied straight into the report when it is being compiled.
The process for creating the plots and tables has two stages.
Data required for the annual reports consists of a current reporting period (01 June to 31 May) and background period (5 years prior to current reporting period). In this stage all downloaded data is read in and categorised into a current and background period. The downloaded data has some challenging formatting (for automatic reading and variable naming etc) so these functions are very specific to the current export format. Should this format change these functions will fail and require some editing.
When the report is read in it is tidied with the following occuring:
Once the data is read in and tidied it is exported as a csv with the format "XX-X-XXXXX_annual_report_data_for_YYY.csv" where:
Remember to change the file path slashes if on a Windows OS. Examples below.
#load the package
library(rivRmon)
#Canning estuary - forward slash example
canning_WIN_report_data(inpath = "C:blah/blah/annual_data_location",
reportingYear = 2019,
outpath = "C:blah/blah/somewhere")
#Swan estuary - backslash example
swan_WIN_report_data(inpath = "C:blah\\blah\\annual_data_location",
reportingYear = 2019,
outpath = "C:blah\\blah\\somewhere")
inpath is a character file path to the downloaded data xlsx files reportingYear is a 4 digit numerical representing current reporting year outpath is a character file path to desired export location for writing of the csv files
This function needs to be run each year to set up the data for the annual report. The output from this stage will be the input for the next two stages.
There is a separate function for each estuary. These are essentially wrapper functions around other functions that work on data that has the same requirements for visualisation (mainly formatting such as plots per panel, or data filtering parameters etc). Outputs are saved to directories created by running the functions. There will be a panels
and a tables
directory with the prefix "c_" or "s_" for Canning and Swan estuaries respectively.
#Canning estuary - forward slash example
canning_reportR(inpath = "C:blah/blah/somewhere",
outpath = "C:blah/blah/somewhere_else",
surface = "blue",
bottom = "red",
chloro = "darkgreen")
#Swan estuary - backslash example
swan_reportR(inpath = "C:blah\\blah\\somewhere",
outpath = "C:blah\\blah\\somewhere_else",
surface = "blue",
bottom = "red",
chloro = "darkgreen")
inpath a character file path to pre-made annual report data (the out path from Stage 1 above)
outpath a character file path to desired export location
The parameters surface, bottom and chloro can take a named colour or a hex colour code. The defaults produce colours similar to those produced in prior reports, however access to these parameters allows users to tweak if required. surface relates to surface measurements, bottom to bottom measurements and chloro to integrated measurements specific only to chlorophyll plots.
As stated previously some variables are grouped so that code can filter data under similar circumstances. These groupings are as follows.
For the Canning estuary:
For the Swan estuary:
Note that swan_reportR
outputs 2 panel plots as per the original report for the group 3 variables. The extra panel plots are for the additional emz of "Swan".
As previously mentioned, the reportR functions are wrappers. The individual functions are available to the user and can be found in the reference index. The groupings match the above and function names take the format ann_rep_vvvv_e()
where:
As these functions are written to be internal to the wrapper they need to be run in the following manner in order to read in the correct data.
#load additional packages
library(tidyverse)
#setup a file path to the annual report data (i.e. csv from Stage One)
inpath <- "C:path/to/anuual_report_data"
#get the full name and pathrow to the required data - change pattern as required
file <- list.files(path = inpath, pattern = "SG-E-CANEST_annual_report",
full.names = TRUE)
#create parameter variables for the function you want to use
outpath <- "C:path/to/desired_export_location"
data <- readr::read_csv(file = file, guess_max = 10000)
#run function - here we have chosen group 1 variables for the Swan
ann_rep_grp1_s(outpath, data, surface = "blue", bottom = "red")


| Modifier and Type | Method and Description |
|---|---|
static void |
RDFDataMgr.parse(StreamRDF sink,
InputStream in,
Lang lang)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
InputStream in,
String base,
Lang hintLang)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
InputStream in,
String base,
Lang hintLang,
Context context)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
Reader in,
Lang lang)
Deprecated.
Use an InputStream or a StringReader.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
Reader in,
String base,
Lang hintLang)
Deprecated.
Use an InputStream or a StringReader.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
Reader in,
String base,
Lang hintLang,
Context context)
Deprecated.
Use an InputStream or a StringReader.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
String uri)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
String uri,
Lang lang)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
String uri,
Lang hintLang,
Context context)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
StringReader in,
Lang lang)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
StringReader in,
String base,
Lang hintLang)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
StringReader in,
String base,
Lang hintLang,
Context context)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
String uri,
String base,
Lang hintLang)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
String uri,
String base,
Lang hintLang,
Context context)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
TypedInputStream in)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
TypedInputStream in,
String base)
Read RDF data.
|
static void |
RDFDataMgr.parse(StreamRDF sink,
TypedInputStream in,
String base,
Context context)
Read RDF data.
|
void |
ReaderRIOTBase.read(InputStream in,
String baseURI,
ContentType ct,
StreamRDF output,
Context context) |
void |
ReaderRIOT.read(InputStream in,
String baseURI,
ContentType ct,
StreamRDF output,
Context context)
Read from an InputStream and output RDF on the StreamRDF.
|
abstract void |
ReaderRIOTBase.read(InputStream in,
String baseURI,
Lang lang,
StreamRDF output,
Context context) |
void |
ReaderRIOT.read(Reader reader,
String baseURI,
ContentType ct,
StreamRDF output,
Context context)
Read from an InputStream and output RDF on the StreamRDF.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
StreamRDFCounting
Provide counts of triples/quads/tuples
|
| Modifier and Type | Class and Description |
|---|---|
class |
CollectorStreamBase<T>
Base class for StreamRDF implementations which store received
Collection . |
class |
CollectorStreamQuads
Collector stream for quads.
|
class |
CollectorStreamRDF
StreamRDF implementations which store received triples and quads
in a
Collection . |
class |
CollectorStreamTriples
Collector stream for triples.
|
class |
PipedQuadsStream
Implementation of a producer class that sends Quads; must be connected to a
PipedRDFIterator<Quad> . |
class |
PipedRDFStream<T>
Abstract implementation of a producer class that implements
StreamRDF ;
use one of the concrete implementations that match the RDF primitive you are using. |
class |
PipedTriplesStream
Implementation of a producer class that sends Triples; must be connected to a
PipedRDFIterator<Triple> . |
class |
PipedTuplesStream
Implementation of a producer class that sends @{code Tuple
PipedRDFIterator<Tuple<Node> . |
| Modifier and Type | Method and Description |
|---|---|
static LangRDFXML |
LangRDFXML.create(InputStream in,
String xmlBase,
String filename,
ErrorHandler errorHandler,
StreamRDF sink) |
static LangRDFXML |
LangRDFXML.create(Reader reader,
String xmlBase,
String filename,
ErrorHandler errorHandler,
StreamRDF sink) |
static LangRDFXML |
LangRDFXML.create(String xmlBase,
String filename,
ErrorHandler errorHandler,
StreamRDF sink) |
static Iterator<Quad> |
RiotParsers.createIteratorNQuads(InputStream input,
StreamRDF dest)
Create an iterator for parsing N-Quads.
|
static Iterator<Triple> |
RiotParsers.createIteratorNTriples(InputStream input,
StreamRDF dest)
Create an iterator for parsing N-Triples.
|
static LangRIOT |
RiotParsers.createParser(InputStream input,
Lang lang,
String baseIRI,
StreamRDF dest)
Create a parser
Use
RDFDataMgr.createReader(Lang) |
static LangRIOT |
RiotParsers.createParser(Reader input,
Lang lang,
String baseIRI,
StreamRDF dest)
Create a parser
|
void |
ReaderTriX.read(InputStream in,
String baseURI,
ContentType ct,
StreamRDF output,
Context context) |
void |
JsonLDReader.read(InputStream in,
String baseURI,
ContentType ct,
StreamRDF output,
Context context) |
void |
ReaderRDFNULL.read(InputStream in,
String baseURI,
ContentType ct,
StreamRDF output,
Context context) |
void |
ReaderTriX.read(Reader reader,
String baseURI,
ContentType ct,
StreamRDF output,
Context context) |
void |
JsonLDReader.read(Reader reader,
String baseURI,
ContentType ct,
StreamRDF output,
Context context) |
void |
ReaderRDFNULL.read(Reader reader,
String baseURI,
ContentType ct,
StreamRDF output,
Context context) |
| Constructor and Description |
|---|
LangCSV(InputStream in,
String base,
String filename,
ErrorHandler errorHandler,
StreamRDF sink) |
LangCSV(Reader reader,
String base,
String filename,
ErrorHandler errorHandler,
StreamRDF sink) |
LangNQuads(Tokenizer tokens,
ParserProfile profile,
StreamRDF dest) |
LangNTriples(Tokenizer tokens,
ParserProfile profile,
StreamRDF dest) |
LangRDFJSON(Tokenizer tokenizer,
ParserProfile profile,
StreamRDF dest) |
LangTriG(Tokenizer tokens,
ParserProfile profile,
StreamRDF dest) |
LangTurtle(Tokenizer tokens,
ParserProfile profile,
StreamRDF dest) |
| Modifier and Type | Class and Description |
|---|---|
class |
BatchedStreamRDF
Batch a stream into triples and/or quads.
|
| Modifier and Type | Class and Description |
|---|---|
class |
InferenceProcessorStreamRDF
Receive triples and quads (incoming because this is a StreamRDF);
allow RDFS; output to place provided.
|
| Modifier and Type | Method and Description |
|---|---|
static StreamRDF |
InfFactory.inf(StreamRDF data,
InferenceSetupRDFS setup) |
static StreamRDF |
InfFactory.inf(StreamRDF data,
Model vocab) |
| Modifier and Type | Method and Description |
|---|---|
static StreamRDF |
InfFactory.inf(StreamRDF data,
InferenceSetupRDFS setup) |
static StreamRDF |
InfFactory.inf(StreamRDF data,
Model vocab) |
| Constructor and Description |
|---|
InferenceProcessorStreamRDF(StreamRDF output,
InferenceSetupRDFS rdfsSetup) |
| Modifier and Type | Class and Description |
|---|---|
class |
LoggingStreamRDF |
class |
PrintingStreamRDF
Primarily for debugging
|
class |
ProgressStreamRDF
Send ticks to a
ProgressMonitor as triples and quads
are sent along the StreamRDF . |
class |
StreamRDF2
Send to two stream
|
class |
StreamRDFBase |
class |
StreamRDFCollectOne
Take one item from a StreamRDF and present as a StreamRowRDF
|
class |
StreamRDFCountingBase
Wrap another StreamRDF and provide counts of items
|
class |
StreamRDFWrapper
A wrapper around another
StreamRDF |
| Modifier and Type | Method and Description |
|---|---|
StreamRDF |
StreamRDFWriterFactory.create(OutputStream output,
RDFFormat format) |
static StreamRDF |
StreamRDFLib.dataset(DatasetGraph dataset) |
static StreamRDF |
StreamRDFLib.extendTriplesToQuads(Node graphNode,
StreamRDF base)
Convert any triples seen to a quads, adding the specified graph node
|
static StreamRDF |
StreamRDFLib.extendTriplesToQuads(StreamRDF base)
Convert any triples seen to a quads, adding a graph node of
Quad.tripleInQuad |
static StreamRDF |
StreamRDFWriter.getWriterStream(OutputStream output,
Lang lang)
Get a StreamRDF destination that will output in syntax Lang
and is guaranteed to do so in a scaling, streaming fashion.
|
static StreamRDF |
StreamRDFWriter.getWriterStream(OutputStream output,
RDFFormat format)
Get a StreamRDF destination that will output in syntax RDFFormat
and is guaranteed to do so in a scaling, streaming fashion.
|
static StreamRDF |
StreamRDFLib.graph(Graph graph) |
static StreamRDF |
StreamRDFLib.sinkNull()
Send everything to nowhere ...
|
static StreamRDF |
StreamRDFLib.sinkQuads(org.apache.jena.atlas.lib.Sink<Quad> sink)
Output to a sink; prefix and base handled only within the parser.
|
static StreamRDF |
StreamRDFLib.sinkTriples(org.apache.jena.atlas.lib.Sink<Triple> sink)
Output to a sink; prefix and base handled only within the parser.
|
static StreamRDF |
StreamRDFLib.writer(org.apache.jena.atlas.io.AWriter out)
|
static StreamRDF |
StreamRDFLib.writer(org.apache.jena.atlas.io.AWriter out,
org.apache.jena.atlas.lib.CharSpace charSpace)
|
static StreamRDF |
StreamRDFLib.writer(OutputStream out)
Create a
StreamRDF that outputs to an OutputStream . |
static StreamRDF |
StreamRDFLib.writer(OutputStream out,
org.apache.jena.atlas.lib.CharSpace charSpace)
|
static StreamRDF |
StreamRDFLib.writer(Writer out)
|
static StreamRDF |
StreamRDFLib.writer(Writer out,
org.apache.jena.atlas.lib.CharSpace charSpace)
|
| Modifier and Type | Method and Description |
|---|---|
static StreamRDFCounting |
StreamRDFLib.count(StreamRDF other) |
static void |
StreamOps.datasetToStream(DatasetGraph datasetGraph,
StreamRDF stream)
Send a dataset to a StreamRDF as prefixes, triples and quads, enclosed in stream.start()/steram.finish()
|
static StreamRDF |
StreamRDFLib.extendTriplesToQuads(Node graphNode,
StreamRDF base)
Convert any triples seen to a quads, adding the specified graph node
|
static StreamRDF |
StreamRDFLib.extendTriplesToQuads(StreamRDF base)
Convert any triples seen to a quads, adding a graph node of
Quad.tripleInQuad |
static void |
StreamOps.graphToStream(Graph graph,
StreamRDF stream)
Send the triples of graph and it's prefix mapping to a StreamRDF, enclosed in stream.start()/steram.finish()
|
static void |
StreamOps.sendDatasetToStream(DatasetGraph datasetGraph,
StreamRDF stream)
Send a dataset to a StreamRDF as prefixes, triples and quads
|
static void |
StreamOps.sendDatasetToStream(DatasetGraph datasetGraph,
StreamRDF stream,
PrefixMap prefixMap)
Send a dataset to a StreamRDF as triples and quads, using the explicitly given prefix map
|
static void |
StreamOps.sendGraphToStream(Graph graph,
StreamRDF stream)
Send the triples of graph and an explicitly given prefix mapping, to a StreamRDF
|
static void |
StreamOps.sendGraphToStream(Graph graph,
StreamRDF stream,
PrefixMap prefixMap)
Send the triples of graph and an explicitly given prefix mapping, to a StreamRDF
|
static void |
StreamOps.sendPrefixesToStream(PrefixMapping prefixMap,
StreamRDF stream) |
static void |
StreamOps.sendPrefixesToStream(PrefixMap prefixMap,
StreamRDF stream)
Send a PrefixMap to a stream
|
static void |
StreamOps.sendQuadsToStream(DatasetGraph datasetGraph,
StreamRDF stream)
Send quads of a dataset (including default graph as quads) to a StreamRDF, without prefixes
|
static void |
StreamOps.sendQuadsToStream(Iterator<Quad> iter,
StreamRDF dest)
Set quads to a StreamRDF - does not call .start/.finish
|
static void |
StreamOps.sendTriplesQuadsToStream(DatasetGraph datasetGraph,
StreamRDF stream)
Send a dataset graph to a stream with triples for the default graph
and quads for the named graphs without prefixes
|
static void |
StreamOps.sendTriplesToStream(Graph graph,
StreamRDF stream)
Send the triples of graph to a StreamRDF (no prefix mapping)
|
static void |
StreamOps.sendTriplesToStream(Iterator<Triple> iter,
StreamRDF dest)
Set triples to a StreamRDF - does not call .start/.finish
|
| Constructor and Description |
|---|
ProgressStreamRDF(StreamRDF other,
org.apache.jena.atlas.lib.ProgressMonitor monitor) |
StreamRDF2(StreamRDF sink1,
StreamRDF sink2) |
StreamRDFCountingBase(StreamRDF other) |
StreamRDFWrapper(StreamRDF other) |
| Modifier and Type | Class and Description |
|---|---|
class |
StreamRDF2Thrift
Encode StreamRDF in Thrift.
|
| Modifier and Type | Method and Description |
|---|---|
static StreamRDF |
BinRDF.streamToFile(String filename)
Create an
StreamRDF for output. |
static StreamRDF |
BinRDF.streamToFile(String filename,
boolean withValues)
Create an
StreamRDF for output. |
static StreamRDF |
BinRDF.streamToOutputStream(OutputStream out)
Create an
StreamRDF for output. |
static StreamRDF |
BinRDF.streamToOutputStream(OutputStream out,
boolean withValues)
Create an
StreamRDF for output. |
static StreamRDF |
BinRDF.streamToTProtocol(org.apache.thrift.protocol.TProtocol protocol)
Create an
StreamRDF for output. |
static StreamRDF |
BinRDF.streamToTProtocol(org.apache.thrift.protocol.TProtocol protocol,
boolean withValues)
Create an
StreamRDF for output. |
| Modifier and Type | Method and Description |
|---|---|
static void |
BinRDF.fileToStream(String filename,
StreamRDF dest)
Decode the contents of the file and send to the
StreamRDF . |
static void |
BinRDF.inputStreamToStream(InputStream in,
StreamRDF dest)
Decode the contents of the input stream and send to the
StreamRDF . |
static void |
BinRDF.protocolToStream(org.apache.thrift.protocol.TProtocol protocol,
StreamRDF dest)
Decode the contents of the TProtocol and send to the
StreamRDF . |
| Constructor and Description |
|---|
Thrift2StreamRDF(PrefixMap pmap,
StreamRDF stream) |
| Modifier and Type | Class and Description |
|---|---|
class |
StreamWriterTriX
Write TriX by streaming.
|
class |
WriterStreamRDFBase
Core engine for output of triples / quads that is streaming.
|
class |
WriterStreamRDFBlocks
An output of triples / quads that print batches of same subject / same graph, same subject.
|
class |
WriterStreamRDFFlat
An output of triples / quads that is streaming.
|
class |
WriterStreamRDFPlain
An output of triples / quads that is streaming.
|
Licenced under the Apache License, Version 2.0


Heat oil in a large pot or deep skillet over medium high heat. Add
onion and garlic, cook for 3 minutes or until light golden and
softened.
Turn heat up to high and add beef. Cook, breaking it up as your go,
until browned.
Add red wine. Bring to simmer and cook for 1 minute, scraping the
bottom of the pot, until the alcohol smell is gone.
Add remaining ingredients except salt and pepper. Stir, bring to a
simmer then turn down to medium so it bubbles gently. Cook for 20 -
30 minutes (no lid), adding water if the sauce gets too thick for
your taste. Stir occasionally.
Bring a large pot of salted water to boil. Add pasta and cook per
packet directions MINUS 1 minute.


by Dan Fellin
Have you used Twitter API?
in the last six months?
Source data is tweets about python.
Let's code!
That's all there is to it to gather the 200K tweets.
That 200K was twitter's fault. 4x all the tweets for the past week
Any questions?
How many people have used pandas?
dict
tuned upNow let's go to code...
df = get_df_few() # normalize_json
df.to_csv('out.csv')
# look at csv
# look at json
# explain why normalize_json is cool
# list all columns
df.columns
# all columns are tab completed
# df.fav<TAB>
# append
df2 = get_df_many() # normalize_json
df_all = df.append(df2)
# favorites
print(df.favorite_count.mean())
print(df.sort_values('favorite_count'))
# get all
print(df.groupby("favorite_count").size())
df_all.created_at_ts = pd.to_datetime(df_all.created_at)
df_all.text_split = df.text.str.lower().str.split()
unique_words = set()
df_all.text_split.apply(unique_words.update)
len(unique_words) # should be ~20000
all_words = []
df_all.text_split.apply(all_words.extend)
len(all_words) # should be ~140000
c = Counter(all_words)
c.most_common(20)
# replace all not word and not whitespace
# ALSO LOWER
s = df_all.text.str.replace('[^\w\s]', ' ')
s = s.str.split()
df_all.text_split = s
all_words = []
df_all.text_split.apply(all_words.extend)
c = Counter(all_words)
c.most_common(20)
Now, choose your own adventure:
all_tweets.csv
)


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java.lang.Object com.gracenote.gnsdk.GnMusicIdMatch
public class GnMusicIdMatch
MusicID Match uses a combination of waveform fingerprinting technologies to match tracks within an end-user's collection to tracks within a cloud music provider's catalog, enabling instant playback from all devices without requiring upload.
The GnMusicId
and GnMusicIdFile
classes provide methods for generating fingerprints
from audio files and streaming music.
| Constructor Summary | |
|---|---|
GnMusicIdMatch(GnUser user,
java.lang.String idDataSource)
|
|
GnMusicIdMatch(GnUser user,
java.lang.String idDataSource,
IGnStatusEvents pEventHandler)
Initializes the Gracenote MusicID Match SDK. |
| Method Summary | |
|---|---|
void |
addCompareData(java.lang.String ident,
GnExternalId externalId)
Adds an external ID for a compare request for a MusicID Match query. |
void |
addCompareData(java.lang.String ident,
GnMatch match)
|
void |
addCompareData(java.lang.String ident,
GnMatch match,
boolean includeTui)
Add a single GnMatch from a CMX lookup for a compare request for a MusicID Match query. |
void |
addCompareData(java.lang.String ident,
GnMatchIterator from,
GnMatchIterator end)
|
void |
addCompareData(java.lang.String ident,
GnMatchIterator from,
GnMatchIterator end,
boolean includeTui)
|
void |
addCompareData(java.lang.String ident,
java.lang.String otherId)
Adds a specific ID (generic) for a compare request for a MusicID Match query. |
static java.lang.String |
buildDate()
Retrieves MusicID Match SDK's build date string. |
void |
compareFingerprint(java.lang.String ident,
java.lang.String fingerprintData)
Sets fingerprint data and ID data for a compare request for a MusicID Match query. |
void |
delete()
|
void |
findMatches()
Performs a MusicID Match query for the added lookup and compare requests. |
boolean |
isCancelled()
IsCancelled |
void |
lookupFingerprint(java.lang.String ident,
java.lang.String fingerprintData)
Sets fingerprint data for a lookup request for a MusicID Match query. |
GnResponseMatches |
response(java.lang.String ident)
Performs a MusicID Match query for responses. |
void |
setCancel(boolean bCancel)
SetCancel |
static java.lang.String |
version()
Retrieves the MusicID Match SDK's version string. |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public GnMusicIdMatch(GnUser user, java.lang.String idDataSource, IGnStatusEvents pEventHandler) throws GnException
user
- GnUser
objectidDataSource
- Data source ID from your user agreement with Gracenote.pEventHandler
- Event handler pointer; default is Null.
Remarks:
GnException
public GnMusicIdMatch(GnUser user, java.lang.String idDataSource) throws GnException
GnException
| Method Detail |
|---|
public void delete()
public static java.lang.String version()
Remarks:
This API can be called at any time, after successfully getting aGnManager
instance.
The returned string is a constant. Do not attempt to modify or delete.
Example version string: <IP_ADDRESS> (Major.Minor.Improvement.Build)
Major: New functionality
Minor: New or changed features
Improvement: Improvements and fixes
Build: Internal build number
public static java.lang.String buildDate()
Remarks:
This API can be called at any time, after successfully getting aGnManager
instance.
The returned string is a constant. Do not attempt to modify or delete.
Example build date string: 2008-02-12 00:41 UTC
public void lookupFingerprint(java.lang.String ident, java.lang.String fingerprintData) throws GnException
ident
- Identity string that must be unique for a queryfingerprintData
- String representation of fingerprint data,
must be a Cantametrix fingerprint.
GnException
public void compareFingerprint(java.lang.String ident, java.lang.String fingerprintData) throws GnException
ident
- Identity string that must be unique for a queryfingerprintData
- String representation of fingerprint data,
must be a Phillips macro fingerprint
GnException
public void addCompareData(java.lang.String ident, GnExternalId externalId) throws GnException
ident
- Identity string that must be unique for a queryexternalId
- The external ID to be compared
GnException
public void addCompareData(java.lang.String ident, GnMatch match, boolean includeTui) throws GnException
GnMatch
from a CMX lookup for a compare request for a MusicID Match query. All external IDs in the match
are considered for the query.
ident
- Identity string that must be unique for a querymatch
- The GnMatch
from a CMX Lookup to be comparedincludeTui
- Flag to denote if the Tui should be included from a CMX Lookup to be compared; default is false
GnException
public void addCompareData(java.lang.String ident, GnMatch match) throws GnException
GnException
public void addCompareData(java.lang.String ident, GnMatchIterator from, GnMatchIterator end, boolean includeTui) throws GnException
GnException
public void addCompareData(java.lang.String ident, GnMatchIterator from, GnMatchIterator end) throws GnException
GnException
public void addCompareData(java.lang.String ident, java.lang.String otherId) throws GnException
ident
- Identity string that must be unique for a queryotherId
- The ID data to be compared
GnException
public void findMatches() throws GnException
GnException
public GnResponseMatches response(java.lang.String ident) throws GnException
ident
- Identifier used for adding requests to the query
GnResponseMatches
Remarks:
Use this function to retrieve responses based on an input parameters.GnException
public void setCancel(boolean bCancel)
bool
- bCancel - true or false valuepublic boolean isCancelled()
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Minax Web Translator is not a translator, but just an agent and text mapping-replacer for remote web translator/translation services.
It works with some online web sites and APIs, such as Excite, CROSS-transer, Weblio, Baidu, Youdao, Google, Microsoft/Bing etc..
| Version: | {AppVersion} |
| Project Site: | https://nuthrash.github.io/Minax/ |
| Wiki: | https://github.com/nuthrash/Minax/wiki |
| App Usage: | https://nuthrash.github.io/Minax/MinaxWebTranslator/ |
| App Concepts: | https://nuthrash.github.io/Minax/MinaxWebTranslator/Concepts.html |
| Sample Translation Projects: | https://github.com/nuthrash/Minax/tree/master/MinaxWebTranslator/TranslationProjects |


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We build sites from scratch
Portfolio
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Stanislav Tsyplakov
The Front-End Developer
My stack is:
- HTML/HTML5
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I can work with:
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Now I learn:
- React
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Recent and projected surface air temperatures in context of past abrupt warming events in the northern hemisphere. Recent annual surface air temperature (SAT) anomalies for 2014–2016 relative to 1890–1970 ( a; refs. 58, 59), CMIP5 projected SAT anomalies by the end of the century in RCP 8.5 ( b), and paleoclimate records spanning the past 19,000 years that document abrupt Arctic warming in concert with abrupt warming in the mid-latitude North Pacific and North Atlantic basins ( c). Colored dots on map in b represent the locations for the paleoclimate datasets plotted in c. Record-breaking Arctic warming in recent years was associated with anomalously high SSTs in the Northeast Pacific despite a cold spot in the North Atlantic ( a). Projected SATs show an amplified response in the Arctic and North Pacific, whereas North Atlantic SSTs undergo relatively modest warming in the first century ( b). c Paleoclimate archives spanning the last 19,050 years (1950 = year 0). From top: Greenland δ 18O records from NEEM 19,000–10,000 years ago (dark blue 26) and NGRIP (light blue 60), An alkenone-based UK’37 SST reconstruction from the Gulf of Alaska reflecting Summer SST (dark green 22); the youngest data point represents the core top measurement taken in 2004 (ref. 61); September SST data from Ocean Station Papa (145°W, 50°N) from 2007 to 2015 are plotted on the same axis (light green squares; http://www.pmel.noaa.gov/ocs/data). An SST reconstruction based on faunal assemblages from the central North Atlantic (plum 24), and a reconstruction of the average North Atlantic SST anomaly relative to Holocene values (pink 25). A composite record of the global temperature anomaly for the past 20,000 years relative to the 1980–2004 mean (blue 25, 62, 63). Atmospheric CO 2 concentrations from 19,000 years ago to present based on ice cores measurement and modern measurements 64. Gray shaded bars represent two episodes of rapid warming in Greenland that are coeval (within age uncertainties) with abrupt SST increase in the Northeast Pacific and North Atlantic, increases in CO 2 concentration, and intervals of widespread hypoxia in the North Pacific 22, 28 and Holarctic megafauna extinctions 29. Pink bar denotes changes since 1950


F2 - Setup Utility
Esc - Boot menu
Bios Revision 2.18.0
Welcome!
Please Wait...
Trying to boot from IDE0: WCD WD1600BEVT-223CHG.
Trying to boot from CD/DVD: Optiarc DVD RW AD-98123-(P).
Boot Device Not Found
Please install an operating system on your hard disk:
Hard Disk (3F0)
Start The Last Known Good Configuration


| OLD line(s): 128,129
<!-- Acquisitions Address --> <xsd:element name="AcquisitionsAddress" type="USAddressType" minOccurs="0"> | NEW line(s): 128,131
<!-- Acquisitions Address: choice between U.S. or foreign address --> <xsd:choice minOccurs="0"> <!-- Acquisitions US Address --> <xsd:element name="AcquisitionsUSAddress" type="USAddressType"> |
| OLD line(s): 132
<Description>Address of person from whom your interest was aquired.</Description> | NEW line(s): 134
<Description>US address of person from whom your interest was aquired.</Description> |
| OLD line(s): 137
| NEW line(s): 140,150
<!-- Acquisitions Foreign Address --> <xsd:element name="AcquisitionsForeignAddress" type="ForeignAddressType"> <xsd:annotation> <xsd:documentation> <Description>Foreign address of person from whom your interest was aquired.</Description> <LineNumber>Schedule P Part I Column a</LineNumber> </xsd:documentation> </xsd:annotation> </xsd:element> </xsd:choice> |
| OLD line(s): 237,238
<!-- Dispositions Address --> <xsd:element name="DispositionsAddress" type="USAddressType" minOccurs="0"> | NEW line(s): 250,253
<!-- Dispositions Address: choice between U.S. or foreign address --> <xsd:choice minOccurs="0"> <!-- Dispositions US Address --> <xsd:element name="DispositionsUSAddress" type="USAddressType"> |
| OLD line(s): 241
<Description>Address of person who acquired your interest.</Description> | NEW line(s): 256
<Description>US address of person who acquired your interest.</Description> |
| OLD line(s): 246
| NEW line(s): 262,272
<!-- Dispositions Foreign Address --> <xsd:element name="DispositionsForeignAddress" type="ForeignAddressType"> <xsd:annotation> <xsd:documentation> <Description>Foreign address of person who acquired your interest.</Description> <LineNumber>Schedule P Part II Column a</LineNumber> </xsd:documentation> </xsd:annotation> </xsd:element> </xsd:choice> |


CQC Interface¶
The interface¶
Here we specifiy the CQC message interface. For programming SimulaQron via the CQC Interface using the Python or C provided, you do not need to know the extend of this message format. The below will be necessary, if you want to write your own library in another language. The easiest way of programming SimulaQron is via the Python CQC lib, so we recommend to get started there. Documentation of how to use the Python CQC lib can be found here Using the Python library: and examples here Examples using the python library.
Upon establishing a connection to the CQC Backend, the following packet format can be used to issue commands to the simulated quantum network. Each interaction to and from the interface starts with a CQC Header, followed by additional headers as appropriate to the message type.
When accessing the interface directly, you must keep track of qubit IDs for each application ID yourself. It is a deliberate choice that the CQC Backend does not itself keep track of qubit or application IDs, leaving such management to you (and indeed higher levels of abstraction if you wish). When a qubit is created with the command CQC_CMD_NEW a CQC message will be returned of the type CQC_TP_NEW_OK followed by a notification header containing the qubit ID. Note that if the option notify, see below, is set to true a message of type CQC_TP_DONE will also be returned, after the notification header, saying that the command is finished.
CQC Header format¶
CQC Header¶
| Function | Type | Length | Comment |
|---|---|---|---|
| version | unsigned integer (uint8_t) | 1 byte | Current version is 0 |
| type | unsigned integer (uint8_t) | 1 byte | Message type (see below) |
| app_id | unsigned integer (uint16_t) | 2 bytes | Application ID, return messages will be tagged appropriately |
| length | unsigned integer (uint32_t) | 4 bytes | Total length of the CQC instruction packet |
Possible message types are listed below. Depending on the message type additional headers may be required as specified below.:
/* Possible CQC Types */
#define CQC_TP_HELLO 0 /* Alive check */
#define CQC_TP_COMMAND 1 /* Execute a command list */
#define CQC_TP_FACTORY 2 /* Start executing command list repeatedly */
#define CQC_TP_EXPIRE 3 /* Qubit has expired */
#define CQC_TP_DONE 4 /* Command execution done */
#define CQC_TP_RECV 5 /* Recevied qubit */
#define CQC_TP_EPR_OK 6 /* Created EPR pair */
#define CQC_TP_MEASOUT 7 /* Measurement outcome */
#define CQC_TP_GET_TIME 8 /* Get creation time of qubit */
#define CQC_TP_INF_TIME 9 /* Inform about time */
#define CQC_TP_NEW_OK 10 /* Inform about time */
#define CQC_ERR_GENERAL 20 /* General purpose error (no details */
#define CQC_ERR_NOQUBIT 21 /* No more qubits available */
#define CQC_ERR_UNSUPP 22 /* Command sequence not supported */
#define CQC_ERR_TIMEOUT 23 /* Timeout */
CQC Command Header¶
If the message type is CQC_TP_COMMAND, CQC_TP_FACTORY or CQC_TP_GET_TIME, then the following additional command header must be supplied. It identifies the specific instruction to execute, as well as the qubit ID on which to perform this instructions. For rotations, two qubit gates, request to send or receive, and produce entanglement, the CQC Xtra Header is required supplying further information.
If CQC_OPT_NOTIFY set to true, each of these commmands return a CQC message of type CQC_TP_DONE. Some commands also return additional messages before the optional done-message, as described below:
- CQC_CMD_NEW: Returns CQC_TP_NEW_OK followed by a notify header containing the qubit ID.
- CQC_CMD_MEASURE(_INPLACE): Returns CQC_TP_MEASOUT followed by a notify header containing the measurement outcome.
- CQC_CMD_RECV: Returns CQC_TP_RECV followed by a notify header containing the qubit ID.
- CQC_CMD_EPR(_RECV): Returns CQC_TP_EPR_OK followed by a entanglement information header.
| Function | Type | Length | Comment |
|---|---|---|---|
| qubit_id | unsigned int (uint16_t) | 2 bytes | Qubit ID to perform the operation on |
| instr | unsigned int (uint8_t) | 1 byte | Instruction to perform (see below) |
| options | unsigned int (uint8_t) | 1 byte | Options when executing the command |
The value of instr can be any of the following:
/* Possible commands */
#define CQC_CMD_I 0 /* Identity (do nothing, wait one step) */
#define CQC_CMD_NEW 1 /* Ask for a new qubit */
#define CQC_CMD_MEASURE 2 /* Measure qubit */
#define CQC_CMD_MEASURE_INPLACE 3 /* Measure qubit inplace */
#define CQC_CMD_RESET 4 /* Reset qubit to |0> */
#define CQC_CMD_SEND 5 /* Send qubit to another node */
#define CQC_CMD_RECV 6 /* Ask to receive qubit */
#define CQC_CMD_EPR 7 /* Create EPR pair with the specified node */
#define CQC_CMD_EPR_RECV 8 /* Create EPR pair with the specified node */
#define CQC_CMD_X 10 /* Pauli X */
#define CQC_CMD_Z 11 /* Pauli Z */
#define CQC_CMD_Y 12 /* Pauli Y */
#define CQC_CMD_T 13 /* T Gate */
#define CQC_CMD_ROT_X 14 /* Rotation over angle around X in pi/256 increments */
#define CQC_CMD_ROT_Y 15 /* Rotation over angle around Y in pi/256 increments */
#define CQC_CMD_ROT_Z 16 /* Rotation over angle around Z in pi/256 increments */
#define CQC_CMD_H 17 /* Hadamard Gate */
#define CQC_CMD_K 18 /* K Gate - taking computational to Y eigenbasis */
#define CQC_CMD_CNOT 20 /* CNOT Gate with this as control */
#define CQC_CMD_CPHASE 21 /* CPHASE Gate with this as control */
/* Command options */
#define CQC_OPT_NOTIFY 0x01 /* Send a notification when cmd done */
#define CQC_OPT_ACTION 0x02 /* On if there are actions to execute when done */
#define CQC_OPT_BLOCK 0x04 /* Block until command is done */
#define CQC_OPT_IFTHEN 0x08 /* Execute command after done */
CQC Xtra Header¶
Additional header containing further information. The following commands require an xtra header when issued to the CQC Backend: CQC_CMD_SEND, CQC_CMD_RECV, CQC_CMD_CPHASE, CQC_CMD_CNOT, CQC_CMD_ROT_X, CQC_CMD_ROT_Y, CQC_CMD_ROT_Z
| Function | Type | Length | Comments |
|---|---|---|---|
| xtra_qubit_id | unsigned int (uint16_t) | 2 bytes | ID of the target qubit in a 2 qubit controlled gate |
| remote_app_id | unsigned int (uint16_t) | 2 bytes | Remote Application ID |
| remote_node | unsigned int (uint32_t) | 4 bytes | IP of the remote node (IPv4) |
| cmdLength | unsigned int (uint32_t) | 4 bytes | Length of the additional commands to execute upon completion. |
| remote_port | unsigned int (uint16_t) | 2 bytes | Port of the remode node for sending classical control info |
| steps | unsigned int (uint8_t) | 1 byte | Angle step of rotation (ROT) OR number of repetitions (FACTORY) |
| unused | unsigned int (uint8_t) | 1 byte | 4 byte align |
CQC Notify Header¶
In some cases, the CQC Backend will return notifications to the client that require additional information. For example, where a qubit was received from, the lifetime of a qubit, the measurement outcome etc.
| Function | Type | Length | Comments |
|---|---|---|---|
| qubit_id | unsigned int (uint16_t) | 2 bytes | ID of the received qubit |
| remote_app_id | unsigned int (uint16_t) | 2 bytes | Remote application ID |
| remote_node | unsigned int (uint32_t) | 4 bytes | IP of the remote node |
| datetime | unsigned int (uint64_t) | 8 bytes | Time of creation |
| remote_port | unsigned int (uint16_t) | 2 bytes | Port of the remote node for sending classical control info |
| outcome | unsigned int (uint8_t) | 1 byte | Measurement outcome |
| unused | unsigned int (uint8_t) | 1 byte | 4 byte align |
Entanglement Header format¶
Entanglement Information Header¶
When an EPR-pair is created the CQC Backend will return information about the entanglement which can be used in a entanglement management protocol. The entanglement information header contains information about the parties that share the EPR-pair, the time of creation, how good the entanglement is (goodness). Furthermore, the entanglement information header contain a entanglement ID (id_AB) which can be used to keep track of the entanglement in the network. The entanglement ID is incremented with respect to the pair of nodes and who initialized the entanglement (DF). For this reason the entanglement ID together with the nodes and the directionality flag gives a unique way to identify the entanglement in the network.
| Function | Type | Length | Comments |
|---|---|---|---|
| node_A | unsigned int (uint16_t) | 4 bytes | IP of this node |
| port_A | unsigned int (uint16_t) | 2 bytes | Port of this node |
| app_id_A | unsigned int (uint32_t) | 2 bytes | App ID of this node |
| node_B | unsigned int (uint64_t) | 4 bytes | IP of other node |
| port_B | unsigned int (uint16_t) | 2 bytes | Port of other node |
| app_id_B | unsigned int (uint8_t) | 2 byte | App ID of other node |
| id_AB | unsigned int (uint8_t) | 4 byte | Entanglement ID |
| timestamp | unsigned int (uint8_t) | 8 byte | Time of creation |
| ToG | unsigned int (uint8_t) | 8 byte | Time of goodness |
| goodness | unsigned int (uint8_t) | 4 byte | Goodness (estimate of the fidelity of state) |
| DF | unsigned int (uint8_t) | 1 byte | Directionality flag (0=Mid-source, 1=node_A, 2=node_B) |
| unused | unsigned int (uint8_t) | 1 byte | 4 byte align |


Vector has no angular speed in the rotating frame
\(\mathbf{V_{Rotating}} = 0\)
Using the standard equation \(v = \omega r\)
\(V_{Inertial} = \rho \omega = r \sin \theta * \omega = \omega r \sin \theta\)
\(\mathbf{V_{Inertial}} = \boldsymbol{\omega} \times \mathbf{r}\)
$$\mathbf{V_{Rotating}} \neq 0$$
This means there are now two contributions to the velocity in the inertial frame: one from the vector rotating in the frame and one from the frame itself rotating relative to the inertial frame.
$$\mathbf{V_{I}} = \mathbf{V_{R}} + \boldsymbol{\omega} \times \mathbf{r}$$
where I and R refer to the inertial and rotating frames respectively.
This is a general result and (written in terms of derivatives) can relate any vector in the inertial frame to one in the rotating frame:
$$\frac{d\boldsymbol{r}}{dt}|_{I} = \frac{d\boldsymbol{r}}{dt}|_{R} + \boldsymbol{\omega} \times \mathbf{r}$$
which reduces to formula for a fixed point in rotating frame if \(\frac{d\boldsymbol{r}}{dt}|_{R} = 0\).
\(\mathbf{a|_{I}} = \frac{d\mathbf{V_{I}}}{dt}|_{I} = \frac{d}{dt} (\mathbf{V_R} + \boldsymbol{\omega} \times \mathbf{r})|_{I} \)
using the expression relating speeds between the frames.
$$ = \color{hsl(200, 80%, 50%)}{\frac{d}{dt}(\boldsymbol{V_{R}})|_{I}} + \color{hsl(20,80%,50%}{\frac{d}{dt}(\boldsymbol{\omega} \times \mathbf{r})|_{I}}$$
Using the formula given previously relating derivatives in the rotating and inertial frames:
$$ = \color{hsl(200, 80%, 50%)}{\frac{d}{dt}(\boldsymbol{V_{R}})|_{R} + \boldsymbol{\omega} \times \mathbf{V_{R}}} + \color{hsl(20,80%,50%}{\boldsymbol{\omega} \times \frac{d\boldsymbol{r}}{dt}|_{I} + \frac{d \boldsymbol{\omega}}{dt}|_{I} \times \mathbf{r}}$$
$$ = \color{hsl(200, 80%, 50%)}{\mathbf{a_{R}} + \boldsymbol{\omega} \times \mathbf{V_{R}}} + \color{hsl(20,80%,50%}{\boldsymbol{\omega} \times \mathbf{V_{I}} + \boldsymbol{\dot{\omega}} \times \mathbf{r}}$$
Once again using the formula relating the velocities, we can substitute \(\mathbf{V_{I}}\) for \(\mathbf{V_{R}} + \boldsymbol{\omega} \times \boldsymbol{r}\)
$$ = \color{hsl(200, 80%, 50%)}{\mathbf{a_{R}} + \boldsymbol{\omega} \times \mathbf{V_{R}}} + \color{hsl(20,80%,50%)}{\boldsymbol{\omega} \times (\mathbf{V_{R}} + \boldsymbol{\omega} \times \mathbf{r}) + \boldsymbol{\dot{\omega}} \times \mathbf{r}}$$
$$ = \mathbf{a_{R}} + 2\boldsymbol{\omega} \times \mathbf{V_{R}} + \boldsymbol{\omega} \times (\boldsymbol{\omega} \times \mathbf{r}) + \boldsymbol{\dot{\omega}} \times \mathbf{r}$$
where the brackets are necessary otherwise \(\boldsymbol{\omega} \times \boldsymbol{\omega} = 0\).
Using \(\mathbf{F} = m \mathbf{a}\) and the relation above, we find that the force in the rotating frame is the sum of the force in the inertial frame and 3 other inertial forces.
$$ \mathbf{F_{R}} = \mathbf{F_{I}} \color{green}{-2m\boldsymbol{\omega} \times \mathbf{V_{R}}} \color{blue}{-m\boldsymbol{\omega} \times (\boldsymbol{\omega} \times \mathbf{r})} \color{red}{-m\boldsymbol{\dot{\omega}} \times \mathbf{r}}$$
and these are the forces we give names to, being labelled as:
$$ \mathbf{F_{Rotating}} = {\mathbf{F_{Inertial}}} + \color{green}{\mathbf{F_{Coriolis}}} + \color{blue}{\mathbf{F_{Centrifugal}}} + \color{red}{\mathbf{F_{Euler}}} $$


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{% extends "global/Page.html" %} {% load otree static %} {% block title %} Instructions {% endblock %} {% block content %}
Let's assume the receiver choses sender B. Sender B will earn $6, while sender A will earn nothing. Out of the 10 tickets of sender B, one will be randomly drawn. If it is a blue winning ticket, the receiver will earn $5. If it is a red blank he will earn nothing. You can review these instructions at any time by clicking the button on the bottom of the page.
{% next_button %} {% endblock %}


In the Custom Configurator Section tutorial, we talked about giving users the ability to configure a widget behavior or layout that's not configurable out of the box. This includes such things as providing a product-specific way for users to configure a data source. That tutorial covered the first step to achieving something like this by demonstrating how to replace an existing widget configurator (editor) section with your own implementation. In this tutorial, we'll go a step further and create a custom widget that actually reacts to changes triggered by users as they interact with the custom configurator section.
To keep things simple we'll create a custom widget body and reuse the standard
WidgetHeaderComponent
as our header. The widget body will consist of a
nui-image
,
and we'll create a custom configurator section that can be used to update the source url of the
image. In a later tutorial, we'll create a custom data source configurator section and go over the
small amount of additional wiring required to give users the ability to change the configuration of a
data source.
WidgetTypesService
ComponentRegistryService
nui-image
.
NuiImageModule
is included in the imports of the custom widget component's
parent module.
NuiDashboardConfiguratorModule
,
NuiFormFieldModule
, NuiSelectV2Module
,
NuiIconModule
, and Angular's
ReactiveFormsModule
.
CustomWidgetBodyContentComponent
and CustomConfiguratorSectionComponent
respectively.
WidgetTypesService
.
ComponentRegistryService
.
This will make them available for late load by the dashboard framework.
WidgetTypesService
ngOnInit
. But, in a real-world app, widget type modifications and
component registrations like this may make more sense in a parent module's constructor.
Moving framework initialization procedures such as these to a higher level in an app's
hierarchy ensures that multiple dashboard instances within a common parent module have access
to the same modifications.


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ICOnator Project


Datasets illustrating the georegulatory framework of the Offshore Petroleum and Greenhouse Gas Storage Act 2006.
Petroleum Blocks cut to the AMB 2014a epoch. This dataset is a digital realisation of the Blocks as defined under Section 33 (3) of the Offshore Petroleum and Greenhouse Gas Storage Act 2006. The blocks are created using a 5 minute by 5 minute graticular section that has been trimmed to the extent of the Offshore Area (defined in the same Act). The dataset is comprised of both points and polygons, and is densified to ensure the geometry will remain correct regardless of projection. The dataset's coverage includes areas of coastal waters and land within the constitutional limits of the States and territories, however in these areas the data is indicative only. For titles within the limits of the coastal waters, the relevant State agency should be consulted.


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SWATCHDOG
0.3
Service Watchdog
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Go to the source code of this file.
Classes | |
| class | Service |
| Class that models a system service. More... | |
Enumerations | |
| enum | serviceState { serviceState::unconfigured, serviceState::configuring, serviceState::configured, serviceState::inService, serviceState::stopping, serviceState::stopped } |
| The possible service states. More... | |


dword InkNoteGetCreationDate( dword tag, /* ID# of note */ VMFileHandle fh); /* Handle of Ink DB file */
This routine gets a note's creation date.
Include: pen.goh
void InkNoteGetKeywords( dword tag, /* ID# of note */ VMFileHandle fh, /* Handle of Ink DB file */ char * text); /* String to hold return value */);
This routine fills the passed buffer with the note's keywords. The target buffer should be of atleast length INK_DB_MAX_NOTE_KEYWORDS_SIZE +1. The string will be null-terminated.
Include: pen.goh
dword InkNoteGetModificationDate( dword tag, /* ID# of note */ VMFileHandle fh); /* Handle of Ink DB file */
This routine gets a note's modification date.
Include: pen.goh
NoteType InkNoteGetNoteType( /* 0: Ink, 1: Text */ dword tag, /* ID# of note */ VMFileHandle fh); /* Handle of Ink DB file */
This routine gets a note's
NoteType
: NT_INK or NT_TEXT.
Include: pen.goh
word InkNoteGetNumPages( dword tag); /* ID# of note */
This routine returns the number of pages within the passed note.
Include: pen.goh
DBGroupAndItem InkNoteGetPages( dword tag, /* ID# of note */ VMFileHandle fh); /* Handle of Ink DB file */
This routine returns a DB group and item containing a chunk array. The chunk array contains the page information of the note, either compressed pen data or text. Each array element holds one page of data.
Include: pen.goh
void InkNoteLoadPage( dword tag, /* ID# of note */ VMFileHandle fh, /* Handle of Ink DB file */ word page, /* Page number */ optr obj, /* an Ink or VisText object */ word type); /* note type 0: ink, 1: text */
This routine loads a visual object (Ink or Text) with the contents of the passed Ink Database page. Be sure to load only the correct type of data into an object.
Include: pen.goh
void InkNoteMove( dword tag, /* ID# of note */ dword pfolder, /* ID# of new parent folder */ VMFileHandle fh); /* Handle of Ink DB file */
This message moves the passed note to a new location. All references to the note are suitably altered.
Include: pen.goh
void InkNoteSavePage( dword tag, /* ID# of note */ VMFileHandle fh, /* Handle of Ink DB file */ word page, /* Page number */ optr obj, /* an Ink or VisText object */ word type); /* note type 0: ink, 1: text */
This routine saves the contents of a visual object (Ink or Text) to the passed Ink Database page.
Include: pen.goh
void InkNoteSendKeywordsToTextObject( dword tag, /* ID# of note */ VMFileHandle fh, /* Handle of Ink DB file */ optr text); /* Text object to set */);
This message replaces the passed VisText object's text with the keywords from the passed folder or note of an Ink Database file.
Include: pen.goh
void InkNoteSetKeywords( dword tag, /* ID# of note */ VMFileHandle fh, /* Handle of Ink DB file */ const char * text); /* Keyword string */);
This message sets an Ink Database note's keywords. The passed string should be null-terminated.
Include: pen.goh
void InkNoteSetKeywordsFromTextObject( dword tag, /* ID# of note */ VMFileHandle fh, /* Handle of Ink DB file */ optr * text); /* Text object */);
This message sets an Ink Database note's keywords by copying them from the passed text object.
Include: pen.goh


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FORTHCOMING
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| May-July 2014 |
Installation of a MODIS antenna at NOA and the development of a real-time monitor. |
| 9 April |
Public talk: "AEROMAP: Global maps of aerosol microphysics and new air quality indices", IAASARS-NOA, Athens, Greece. |
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2014
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| 28 February |
Project funding ends. |
| 28 February |
Submission of Final Report.
| | 28 February |
Submission of Periodic Report 2.
| | 10 February |
Submission of a conference paper for the 12th International Conference on Meteorology, Climatology & Atmospheric Physics:
Taylor, M., Kazadzis, S., Tsekeri, A., Gkikas, A., Amiridis, V. AEROMAP: Satellite retrieval of dust aerosol microphysical and optical parameters using neural networks (under review).
[PDF]
[Link to conference website]
| | 10 February |
Submission of a conference paper for the 12th International Conference on Meteorology, Climatology & Atmospheric Physics:
Taylor, M., Kazadzis, S., Gerosopoulos, E.:
Multi-modal fitting of AERONET size distributions during atypical aerosol conditions. (under review).
[PDF]
[Link to conference website]
| | 10 January |
Publication of a peer-reviewed article in Atmospheric Measurement Techniques Discussions:
Kazadzis, S., Veselovskii, I., Amiridis, V., Gröbner, J., Suvorina, A., Nyeki, S., Gerasopoulos, E.,
Kouremeti, N., Taylor, M., Tsekeri, A., Wehrli, C. (2014). Aerosol microphysical retrievals from Precision Filter Radiometer direct solar radiation measurements and comparison with AERONET. Atmospheric Measurement Techniques Discussions, 7, 99-130.
[PDF]
[Link to journal]
| 2013
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| 17 December |
Publication of a peer-reviewed article in Atmospheric Measurement Techniques Discussions:
Taylor, M., Kazadzis, S., Tsekeri, A., Gkikas, A., Amiridis, V. (2013). Satellite retrieval of aerosol microphysical and optical parameters using neural networks: a new methodology applied to the Sahara desert dust peak. Atmospheric Measurement Techniques Discussions, 6, 10955-11010.
[PDF]
[Link to journal]
| | 13 December |
Publication of a peer-reviewed article in Atmospheric Chemistry & Physics:
Amiridis, V., Wandinger, U., Marinou, E., Giannakaki, E., Tsekeri, A., Basart, S., Kazadzis, S., Gkikas, A., Taylor, M., Baldasano, J., & Ansmann, A. (2013). Optimizing Saharan dust CALIPSO retrievals. Atmospheric Chemistry and Physics, 13, 12089-12106.
[PDF]
[Link to journal]
| | 9 December |
Publication of a peer-reviewed article in Atmospheric Measurement Techniques Discussions:
Taylor, M., Kazadzis, S., Gerasopoulos, E. (2013). Multi-modal analysis of aerosol robotic network size distributions for remote sensing applications: dominant aerosol type cases. Atmospheric Measurement Techniques Discussions 6, 10571-10615.
[PDF]
[Link to journal]
| | 19-21 June |
Participation in the CERN OA18 Workshop "Innovations in Scholarly Communication" 2013, Geneva, Switzerland, 19-21 June 2013:
| | 5 June |
Publication of a peer-reviewed article in Atmospheric Chemistry and Physics Discussions:
Amiridis, V., Wandinger, U., Marinou, E., Giannakaki, E., Tsekeri, A., Basart, S., Kazadzis, S., Gkikas, A., Taylor, M., Baldasano, J., & Ansmann, A. (2013). Optimizing Saharan dust CALIPSO retrievals. Atmospheric Chemistry and Physics Discussions, 13(6), 14749-14795.
[PDF] [Link to journal]
| | 19 April |
Submission of Periodic Report 1 ("mid-term report").
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2012
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| 28 September |
Participation in the Researchers Night 2012 at the National Hellenic Research Foundation, Athens. |
| 2-7 September |
Participation in the European Aerosol Conference 2012, Granada Spain:
M. Taylor, S. Kazantzis, A. Tsekeri, A. Gkikas and V. Amiridis "Calculation of aerosol microphysical properties by neural network inversion of ground-based AERONET data".
[Abstract] [Poster] |
| 11-15 July |
Participation in the Euro-Science Open Forum 2012, Dublin, Ireland:
M. Taylor "AEROMAP: Global mapping of aerosol properties using neural network inversions of ground and satellite based data".
[Poster] |
| 1 March |
Project start. |
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