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| Packages that use MethodConstraints | |
| com.sun.jini.landlord | This is a utility for services implementing leases. |
| com.sun.jini.outrigger | This is an implementation of a JavaSpaces(TM) technology-enabled service. |
| com.sun.jini.phoenix | A configurable Java(TM) Remote Method Invocation (Java RMI) activation system daemon implementation. |
| com.sun.jini.proxy | |
| net.jini.constraint | Provides a basic implementation of
MethodConstraints and a
TrustVerifier for common constraints.
|
| net.jini.core.constraint | Defines constraints and collections of constraints that can be used to control method invocation, and an interface that proxies implement to allow clients to specify constraints for remote method calls. |
| net.jini.discovery | These are utility classes and interfaces that conform to the discovery and join protocol defined in the Jini(TM) Discovery and Join Specification. |
| net.jini.jeri | Provides the fundamental abstractions and standard implementation classes for Jini(TM) extensible remote invocation (Jini ERI). |
| net.jini.security | Provides mechanisms and abstractions for managing security, especially in the presence of dynamically downloaded code. |
| Uses of MethodConstraints in com.sun.jini.landlord |
| Methods in com.sun.jini.landlord that return MethodConstraints | |
MethodConstraints |
ConstrainableLandlordLease.getConstraints()
|
| Methods in com.sun.jini.landlord with parameters of type MethodConstraints | |
RemoteMethodControl |
ConstrainableLandlordLease.setConstraints(MethodConstraints constraints)
|
| Constructors in com.sun.jini.landlord with parameters of type MethodConstraints | |
ConstrainableLandlordLease(Uuid cookie,
Landlord landlord,
Uuid landlordUuid,
long expiration,
MethodConstraints methodConstraints)
Create a new ConstrainableLandlordLease . |
| Uses of MethodConstraints in com.sun.jini.outrigger |
| Methods in com.sun.jini.outrigger with parameters of type MethodConstraints | |
AdminIterator |
ConstrainableJavaSpaceAdmin.contents(Entry tmpl,
Transaction txn,
int fetchSize,
MethodConstraints constrains)
Deprecated. Return an AdminIterator that will iterate over all
the entries in the space that match the given template and are
visible under the given transaction. |
| Uses of MethodConstraints in com.sun.jini.phoenix |
| Constructors in com.sun.jini.phoenix with parameters of type MethodConstraints | |
SystemAccessProxyTrustILFactory(MethodConstraints serverConstraints)
Creates a factory with a null class loader, the
specified server constraints, the SystemPermission
permission class, and a DefaultGroupPolicy instance. |
|
SystemAccessProxyTrustILFactory(MethodConstraints serverConstraints,
Class permClass,
GroupPolicy policy,
ClassLoader loader)
Creates a factory with the specified server constraints, permission class, group policy, and class loader. |
|
SystemAccessILFactory(MethodConstraints serverConstraints)
Creates a factory with a null class loader, the
specified server constraints, the SystemPermission
permission class, and a DefaultGroupPolicy instance. |
|
SystemAccessILFactory(MethodConstraints serverConstraints,
Class permClass,
GroupPolicy policy,
ClassLoader loader)
Creates a factory with the specified server constraints, permission class, group policy, and class loader. |
|
SystemAccessILFactory.SystemDispatcher(Collection methods,
Remote impl,
ServerCapabilities serverCaps,
MethodConstraints serverConstraints,
Class permClass,
GroupPolicy policy,
boolean localAccessCheck,
ClassLoader loader)
Creates an invocation dispatcher to receive incoming remote calls for the specified methods, for a server and transport with the specified capabilities, enforcing the specified constraints, and performing preinvocation access control using the specified permission class and group policy. |
| Uses of MethodConstraints in com.sun.jini.proxy |
| Methods in com.sun.jini.proxy that return MethodConstraints | |
static MethodConstraints |
ConstrainableProxyUtil.translateConstraints(MethodConstraints methodConstraints,
Method[] mappings)
Creates a MethodConstraints using the constraints in
methodConstraints , but with the methods remapped according
to mappings , where the first element of each pair of
elements is mapped to the second. |
| Methods in com.sun.jini.proxy with parameters of type MethodConstraints | |
static MethodConstraints |
ConstrainableProxyUtil.translateConstraints(MethodConstraints methodConstraints,
Method[] mappings)
Creates a MethodConstraints using the constraints in
methodConstraints , but with the methods remapped according
to mappings , where the first element of each pair of
elements is mapped to the second. |
static boolean |
ConstrainableProxyUtil.equivalentConstraints(MethodConstraints methodConstraints1,
MethodConstraints methodConstraints2,
Method[] mappings)
Test to see if two MethodConstraints instances are
equivalent given a method-to-method mapping. |
static void |
ConstrainableProxyUtil.verifyConsistentConstraints(MethodConstraints methodConstraints,
Object proxy,
Method[] mappings)
Verify that an object, proxy , is an instance of
RemoteMethodControl its MethodConstraints are
equivalent to another MethodConstraints instance,
methodConstraints once a mapping has been applied.
|
| Uses of MethodConstraints in net.jini.constraint |
| Classes in net.jini.constraint that implement MethodConstraints | |
class |
BasicMethodConstraints
Basic implementation of MethodConstraints , allowing limited
wildcard matching on method names and parameter types. |
| Uses of MethodConstraints in net.jini.core.constraint |
| Methods in net.jini.core.constraint that return MethodConstraints | |
MethodConstraints |
RemoteMethodControl.getConstraints()
Returns the client constraints placed on this proxy. |
| Methods in net.jini.core.constraint with parameters of type MethodConstraints | |
RemoteMethodControl |
RemoteMethodControl.setConstraints(MethodConstraints constraints)
Returns a new copy of this proxy with the client constraints set to the specified constraints. |
| Uses of MethodConstraints in net.jini.discovery |
| Methods in net.jini.discovery that return MethodConstraints | |
MethodConstraints |
ConstrainableLookupLocator.getConstraints()
|
| Methods in net.jini.discovery with parameters of type MethodConstraints | |
RemoteMethodControl |
ConstrainableLookupLocator.setConstraints(MethodConstraints constraints)
|
| Constructors in net.jini.discovery with parameters of type MethodConstraints | |
ConstrainableLookupLocator(String url,
MethodConstraints constraints)
Constructs a new ConstrainableLookupLocator instance which
can be used to perform unicast discovery to the host and port named by
the given URL with the provided constraints applied. |
|
ConstrainableLookupLocator(String host,
int port,
MethodConstraints constraints)
Constructs a new ConstrainableLookupLocator instance which
can be used to perform unicast discovery to the given host and port with
the provided constraints applied. |
| Uses of MethodConstraints in net.jini.jeri |
| Methods in net.jini.jeri that return MethodConstraints | |
MethodConstraints |
BasicInvocationHandler.getClientConstraints()
Returns this BasicInvocationHandler 's client
constraints. |
MethodConstraints |
BasicInvocationHandler.getServerConstraints()
Returns this BasicInvocationHandler 's server
constraints. |
MethodConstraints |
BasicILFactory.getServerConstraints()
Returns the server constraints, if any. |
| Methods in net.jini.jeri with parameters of type MethodConstraints | |
protected InvocationHandler |
BasicInvocationHandler.setClientConstraints(MethodConstraints constraints)
Returns a copy of this invocation handler with the specified constraints as its new client constraints. |
| Constructors in net.jini.jeri with parameters of type MethodConstraints | |
ProxyTrustILFactory(MethodConstraints serverConstraints,
Class permissionClass)
Creates a factory with the specified server constraints, permission class, and a null class loader. |
|
ProxyTrustILFactory(MethodConstraints serverConstraints,
Class permissionClass,
ClassLoader loader)
Creates a factory with the specified server constraints, permission class, and class loader. |
|
BasicInvocationHandler(ObjectEndpoint oe,
MethodConstraints serverConstraints)
Creates a new BasicInvocationHandler with the
specified ObjectEndpoint and server constraints.
|
|
BasicInvocationHandler(BasicInvocationHandler other,
MethodConstraints clientConstraints)
Creates a new BasicInvocationHandler with the
specified client constraints and with the same
ObjectEndpoint and server constraints as the given
other BasicInvocationHandler .
|
|
BasicInvocationDispatcher(Collection methods,
ServerCapabilities serverCapabilities,
MethodConstraints serverConstraints,
Class permissionClass,
ClassLoader loader)
Creates an invocation dispatcher to receive incoming remote calls for the specified methods, for a server and transport with the specified capabilities, enforcing the specified constraints, performing preinvocation access control using the specified permission class (if any). |
|
BasicILFactory(MethodConstraints serverConstraints,
Class permissionClass)
Creates a BasicILFactory with the specified server
constraints, permission class, and a null class
loader. |
|
BasicILFactory(MethodConstraints serverConstraints,
Class permissionClass,
ClassLoader loader)
Creates a BasicILFactory with the specified server
constraints, permission class, and class loader. |
| Uses of MethodConstraints in net.jini.security |
| Fields in net.jini.security declared as MethodConstraints | |
protected MethodConstraints |
BasicProxyPreparer.methodConstraints
Method constraints to use when verifying if proxies are trusted and for setting their constraints, if BasicProxyPreparer.methodConstraintsSpecified is
true . |
| Methods in net.jini.security that return MethodConstraints | |
protected MethodConstraints |
BasicProxyPreparer.getMethodConstraints(Object proxy)
Returns the method constraints to use when verifying and setting constraints on the specified proxy. |
| Constructors in net.jini.security with parameters of type MethodConstraints | |
BasicProxyPreparer(boolean verify,
MethodConstraints methodConstraints,
Permission[] permissions)
Creates a proxy preparer that specifies whether proxies should be verified, specifies permissions to grant them, and specifies what method constraints to use when verifying and setting constraints. |
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grpc_get_info_np
- Returns session information.
grpc_error_t grpc_get_info_np(grpc_sessionid_t session_id,
grpc_exec_info_t_np *info,
int *status)
grpc_sessionid_t session_id
grpc_exec_info_t_np *info
int *status
typedef struct grpc_exec_info_s_np { struct { /* Measured by the remote method */ /* Real time of the time concerning argument transmission */ struct timeval transferArgumentRealTime; /* CPU time of the time concerning argument transmission */ struct timeval transferArgumentCpuTime; /* Real time of Calculation time of executable */ struct timeval calculationRealTime; /* CPU time of Calculation time of executable */ struct timeval calculationCpuTime; /* Real time of the time concerning transmitting a result */ struct timeval transferResultRealTime; /* CPU time of the time concerning transmitting a result */ struct timeval transferResultCpuTime; /* Real time of the time concerning argument transmission of callback */ struct timeval callbackTransferArgumentRealTime; /* CPU time of the time concerning argument transmission of callback */ struct timeval callbackTransferArgumentCpuTime; /* Real time of time concerning callback */ struct timeval callbackCalculationRealTime; /* CPU time of time concerning callback */ struct timeval callbackCalculationCpuTime; /* Real time of the time concerning transmitting a result of callback */ struct timeval callbackTransferResultRealTime; /* CPU time of the time concerning transmitting a result of callback */ struct timeval callbackTransferResultCpuTime; } gei_measureExecutable; struct { /* Measured by the client */ /* Real time of the time concerning request remote machine information */ struct timeval remoteMachineInfoRequestRealTime; /* CPU time of the time concerning request remote machine information */ struct timeval remoteMachineInfoRequestCpuTime; /* Real time of the time concerning request remote class information */ struct timeval remoteClassInfoRequestRealTime; /* CPU time of the time concerning request remote class information */ struct timeval remoteClassInfoRequestCpuTime; /* Real time of the time concerning invoke GRAM */ struct timeval gramInvokeRealTime; /* CPU time of the time concerning invoke GRAM */ struct timeval gramInvokeCpuTime; /* Real time of the time concerning argument transmission */ struct timeval transferArgumentRealTime; /* CPU time of the time concerning argument transmission */ struct timeval transferArgumentCpuTime; /* Real time of Calculation time of client */ struct timeval calculationRealTime; /* CPU time of Calculation time of client */ struct timeval calculationCpuTime; /* Real time of the time concerning transmitting a result */ struct timeval transferResultRealTime; /* CPU time of the time concerning transmitting a result */ struct timeval transferResultCpuTime; /* Real time of the time concerning argument transmission of callback */ struct timeval callbackTransferArgumentRealTime; /* CPU time of the time concerning argument transmission of callback */ struct timeval callbackTransferArgumentCpuTime; /* Real time of time concerning calculation of callback */ struct timeval callbackCalculationRealTime; /* CPU time of time concerning calculation of callback */ struct timeval callbackCalculationCpuTime; /* Real time of the time concerning transmitting a result of callback */ struct timeval callbackTransferResultRealTime; /* CPU time of the time concerning transmitting a result of callback */ struct timeval callbackTransferResultCpuTime; } gei_measureClient; } grpc_exec_info_t_np;
This function is MT-safe.
GRPC_NOT_INITIALIZED
GRPC_INVALID_SESSION_ID
GRPC_OTHER_ERROR_CODE


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Attention: The demo is a barebones implementation and is designed for xterm.js evaluation purposes only. Exposing the demo to the public as is would introduce security risks for the host.
* ZMODEM file transfers are supported via an addon. To try it out, install lrzsz
onto the remote peer, then run rz
to send from your browser or sz <file>
to send from the remote peer.


{% extends "base.html" %} {% load staticfiles %} {% block title %}Your Accounts Are Ready{% endblock %} {% block body_content %} {% include 'fragments/user_info.html' %}
You use your password with your Odin username to login to PSU computing resources. Passwords must be changed every 6 months.
Providing password recovery information will allow you to use OAM’s password recovery features via email or SMS.
PSU employees can use this section to update their directory information, visible in the PSU online directory.


Creates the system tray menu on the taskbar
Create_Tray_Menu()
There is no returned variable.
For more information on the Menu function click on the link (Internet Connection Required) below: Menu
Menu


Chapter 8 The Scatterplot
The scatterplot is the most powerful tool in statistics. The following comes as close to any rote procedure that I would recommend following:
Always plot your data using a scatterplot.
For some combinations of unordered, qualitative variables with a large number of categories, the scatterplot might not offer useful information. However, the plot itself will not mislead the researcher. Therefore, the scatterplot offers a safe, likely useful starting point for almost all data analysis.
As an example, here’s Sarah’s data for the research project. She cares about the difference in ideology self-reports across different study designs. Although this isn’t an ideal application for a scatterplot (i.e., two fine-grained measures of x and y), the scatterplot is (1) at least somewhat helpful and (2) certainly not harmful.
8.1 geom_point()
To create scatterplots, we simply use geom_point()
as the geometry combined with our same approach to data and aesthetics.
Here’s a simple example with hypothetical data.
# create a hypothetical dataset with tribble()
df <- tribble(
~x, ~ y,
1, 1,
2, 2,
3, 6,
1, 3,
2.5, 5) %>%
glimpse()
Rows: 5
Columns: 2
$ x <dbl> 1.0, 2.0, 3.0, 1.0, 2.5
$ y <dbl> 1, 2, 6, 3, 5
Here’s a more realistic example.
Rows: 826
Columns: 2
$ seat_share <dbl> 0.02424242, 0.46060607, 0.51515150, 0.47204968, 0.527…
$ portfolio_share <dbl> 0.09090909, 0.36363637, 0.54545456, 0.45454547, 0.545…
Because the data are so dense, especially in the lower-left corner of the plot, we might use alpha transparency to make the density easier to see.
8.2 Example: gapminder
For a dataset with more variables, we can represent a few other variables using aesthetics other than location in space.
For this example, we use country-level data from the gapminder package.
# load gapminder dataset from gapminder package
data(gapminder, package = "gapminder")
glimpse(gapminder)
Rows: 1,704
Columns: 6
$ country <fct> Afghanistan, Afghanistan, Afghanistan, Afghanistan, Afghani…
$ continent <fct> Asia, Asia, Asia, Asia, Asia, Asia, Asia, Asia, Asia, Asia,…
$ year <int> 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997,…
$ lifeExp <dbl> 28.801, 30.332, 31.997, 34.020, 36.088, 38.438, 39.854, 40.…
$ pop <int> 8425333, 9240934, 10267083, 11537966, 13079460, 14880372, 1…
$ gdpPercap <dbl> 779.4453, 820.8530, 853.1007, 836.1971, 739.9811, 786.1134,…
ggplot(gapminder, aes(x = gdpPercap,
y = lifeExp,
size = pop,
color = continent)) +
geom_point(alpha = 0.3)
Because GDP per capita is skewed so heavily to the right, we might transform the x-axis from a linear scale (the default) to a log (base-10) scale.
ggplot(gapminder, aes(x = gdpPercap,
y = lifeExp,
size = pop,
color = continent)) +
geom_point(alpha = 0.3) +
scale_x_log10()
Because countries are evolving over time, we can connect the subsequent points using geom_path()
. Note that geom_path()
connects points as they are arranged in the dataset, so make sure your dataset is arranged properly. Because we want one path per country, we should include the aesthetic aes(group = country)
as an argument to geom_path()
.
# arrange data by year
gapminder2 <- gapminder %>%
arrange(year)
ggplot(gapminder2, aes(x = gdpPercap,
y = lifeExp,
size = pop,
color = continent)) +
geom_point(alpha = 0.3) +
geom_path(aes(group = country)) +
scale_x_log10()
This is a little hard to see, so let’s clean it up a bit.
8.3 Example: voteincome
[This block is currently not working because the Zelig package is out of commission at the moment.]
# load voteincome data from Zelig package
# data(voteincome, package = "Zelig")
#
# glimpse(voteincome)
#
# ggplot(voteincome, aes(x = education,
# y = income)) +
# geom_point()
Notice three things:
- The variable
education
is not under control. To see the codings, usehelp(voteincome, package = "Zelig")
. Ideally, this variable (i) use qualitative labels rather than numeric placeholders and (ii) be a factor with reasonably ordered levels. - There’s substantial over-plotting. Dozens of points are right on top of each other, so we cannot tell how many points are at each coordiate.
Let’s fix the first issue for education
, so you can see how. (income
has many more levels, so let’s just get on with the plotting).
# voteincome2 <- voteincome %>%
# mutate(education = fct_recode(as.character(education),
# "Less than High School Education" = "1",
# "High School Education" = "2",
# "College Education" = "3",
# "More than a College Education" = "4")) %>%
# glimpse()
Now let’s deal with the overplotting. In general, we have two strategies for dealing with overplotting.
- alpha transparency
- jittering
First, let’s try to adjust the alpha transparency.
This helps, but only a little. We can we wher we have many points, where we have just a few, and where we have none. But overall, we still don’t have a good sense of the density at each coordinate.
Let’s try jittering. To jitter the data, we add a small amount of noise to each point. We add enough noise to separate it from the other points, but not so much noise to distort the position along in the space.
Exercise 8.1 Write an R script that uses the parties dataset to create a scatterplot that allows you to evaluate Clark and Golder’s (2006) claim:
The number of political parties increases as social heterogeity increases, but only under permissive electoral rules.
Hint
Perhaps use the following aesthetics:x = eneg
and y = enep
. Create individual facets for each electoral_system
.
Solution
politics_and_need.csv
. Plot the variable percent_uninsured
(the percent of each state’s population without health insurance) along the horizontal axis and the variable percent_favorable_aca
(the percent of each state with a favorable attitude toward Obamacare) along the vertical axis. Interpret and speculate about any pattern. I encourage you to represent other variables with other aesthetics.
Exercise 8.3 Continuing the exercise above, label each point with the state’s two-letter abbreviation. Experiment with the following strategies.
geom_text()
instead ofgeom_point()
geom_label()
instead ofgeom_point()
geom_text_repel()
in the ggrepel package in addition togeom_point()
geom_label_repel()
in the ggrepel package in addition togeom_point()
?geom_text()
) and the contained examples to understand how to use each geom. The variable state_abbr
contains the two-letter abbreviation, so you’ll need to include the aesthetic label = state_abbr
in the aes()
function.
8.4 Resources
- Tufte. 2001. The Visual Display of Quantitative Information.
- Healy. 2018. Data Visualization: A Practical Introduction. [html]
- Wickham. ggplot2: Elegant Graphics for Data Analysis. [html for in-progress 3rd e.]
- RStudio’s ggplot2 cheat sheet [GitHub]
- The help file for
geom_point()
has some examples. - The help file for
geom_path()
might be helpful, especially if you have the same country observed for multiple years and want to connect the subsequent points. - The help file for
geom_text()
might be helpful, especially if you have only a few observations and your readers know something about some of them.


Historically, Jawr regenerate all defined bundles at server startup. Depending on the bundle definition, the start-up time could be long. To fix this issue, Jawr introduces since Jawr 3.9 a new feature called “smart bundling” which allow Jawr analyze the bundle which have changed, and only rebuild these bundles. The smart bundling feature extends existing features to help to speed up the bundling process. This tutorial will explain you how to setup Jawr to use this feature.
The property jawr.use.bundle.mapping introduced in Jawr 3.0, when set to true, force Jawr to create files which contains the result of the bundle process.
Once generated, Jawr was not rebuilding the bundles. This was a good improvement to speed up start up time, but unfortunately when the bundles were modified the bundles were not rebuild.
Now Jawr is able to determine if the bundles have changed since the last bundle processing, in every case (server started or stopped).
The property jawr.config.reload.interval was previously used to determine the interval between Jawr configuration file reload to check if there were changes in Jawr configuration. Now Jawr checks also if the content of the files associated to the bundles have changed. This means that if a file content changed Jawr will rebuild the bundles.
By default, the smart bundling feature is deactivated. The property jawr.use.smart.bundling can be used to unable or disable it.
jawr.use.smart.bundling=true #This will enable the smart bundling feature
Note : It is important to note that if you enable the smart bundling feature, the use bundle mapping property will be enable by default, because it’s a prerequisite to use the smart bundling feature
If you want to use the automatic bundle processing when your application is started, you have update your Jawr configuration file like below :
jawr.config.reload.interval=10 #Here we configured Jawr to check for update every 10 sec
Using this configuration, if a change is detected on a bundle when the server is started, the bundle will be rebuild.
If you want to use the automatic bundle processing when your application is started, and also being able to force the refresh using JMX, you have update your Jawr configuration file like below :
jawr.use.smart.bundling=true #This will enable the smart bundling feature
To force bundle processing using JMX, you need to execute the method refreshConfig(). You’ll be able to refresh the configuration for one resource type, or for all resources by selecting the right JawrConfigManagerMBean or the JawrApplicationConfigManagerMBean. Please refer to the JMX documentation for more detail.
Note : The recommended way to force rebuild is to use JMX. It’s a more secure way to handle this use case. In some cases, JMX could not be an option, in these cases, you can use the refreshKey URL parameter. (see below)
If you want to use the automatic bundle processing when your application is started, and also being able to force the refresh using a key, you have update your Jawr configuration file like below :
jawr.use.smart.bundling=true #This will enable the smart bundling feature jawr.config.reload.interval=3600 #Here we configured Jawr to check for update every hour jawr.config.reload.refreshKey=mySecretKey #To force a refresh of bundles which needs to be rebuild, hit any bundle URL and add ?refreshKey=mySecretKey to reload the bundles.
Using this configuration, if a change on a bundle is detected when Jawr checks the configuration or if the refresh is forced using the refresh key parameter, the bundle will be rebuild. The information are stored in the bundle mapping files.
If you want to use the smart bundling feature only on server restart, you only have to set the jawr.use.bundle.mapping property to true, in your Jawr configuration file like below :
jawr.use.smart.bundling=true #This will enable the smart bundling feature
Using this configuration, if a change is detected on a bundle when the server is started, the bundle will not be rebuild until next server restart.
Jawr watches resources on server to detect resource creation, modification or deletion using WatchService API. When there are a lot of events, to ensure that all events have been processed before starting the bundling process, Jawr uses a delay after the last event to make sure that there no more event to process before starting the bundling process.
This delay is configurable using the property jawr.smart.bundling.delay.after.last.event :
| Property name | Type | Purpose | Default value |
|---|---|---|---|
| jawr.smart.bundling.delay.after.last.event | Integer | Defines the delay after the last event before starting the bundle processing (in second) | 2 |
Jawr allows the user to defines processor which can process all the bundles at once. An example of these kind of processors is the smartsprite global preprocessor, which will retrieve information about CSS sprite defines in every bundle and which will update sprite reference in all the bundles.
By nature, it is not possible to avoid the processing of all bundle for these global processors, but Jawr will try to find the impacted bundles after the global preprocessing phase, to only process those bundles.
To make sure that change are detected, you need to put ${md5} property in the image of the sprite-ref, like below :
/** sprite: mysprite; sprite-image: url('../../img/mysprite-${md5}.png'); sprite-layout: vertical */ .header { background-image: url("../../../img/logo.png"); /** sprite-ref: mysprite; */ background-repeat: no-repeat; height : 74px; }
There are two way to force the complete rebuild (ignoring the information in cache) :
Clean the web application working directory where the files for cache are stored
Modify your Jawr configuration file
For the time being, this feature only works with modification on the file resources associated to bundle like : - modifying a resource - creating or deleting a resource on a bundle which has a mapping defines with wildcards For example, if you have a bundle mapping like ‘/css/**’, adding a resource to ‘/css’ or deleting one will be handle as a bundle modification
If you modify your configuration, Jawr will consider this as a complete modification and will rebuild all the bundles. So a modification in your configuration will trigger a full bundling process.
Jawr doesn’t detect modification on Processor or Generator class. So if a Processor or a Generator has been modified, you’ll have to clean your cache so Jawr will rebuild the bundles with this modification.


lunaticlog: Fake log generator¶
Lunaticlog is a mock HTTP log generator package, use it’s fake log workloads to test if your monitor / analyzer can survive various extreme conditions.
A simple usage example:
#content of test_sample.py
from lunaticlog import apache_gen
log_gen = apache_gen(out_path='./apache.log', mode='uniform', rotation=True)
log_gen.run()
<IP_ADDRESS> user-identifier frank [1/Oct/2017:13:55:36 -0700] "GET /apache_pb.gif HTTP/1.0" 200 2326
<IP_ADDRESS> user-identifier james [1/Oct/2017:13:55:37 -0700] "POST /README.txt HTTP/1.0" 200 2326
<IP_ADDRESS> user-identifier putin [1/Oct/2017:13:55:38 -0700] "GET /image/cat.gif HTTP/1.0" 200 2326
Source Code¶
Get the source code.
Features¶
- Generate log in Apache Access format, Nginx format [TODO], AWS S3 format [TODO]
- Log file rotation configurable
- Can control the distributions of log fields contents
- Different log generation mode for stress testing
- Python3.4, Python3.5, Python3.6
Documentation¶
For full documentation, including installation, tutorials and PDF documents, please see https://xuwenyihust.github.io/lunaticlog/lunaticlog/html/.


How Little Snakes are Made
Modern Python Dependency Management in 2018 using pipenv
Little Snakes?
"If I have seen further it is by standing on the shoulders of Giants. - Isaac Newton"
3rd party libraries are used in almost every project.
Managing these dependencies has a long and varied history.
Sometimes it feels like this...
A Brief History of the World
- Distutils (2000, Python 1.6 / 2.0)
- PyPI (2003, Python 2.3)
- Setuptools / easy_install (2004)
- Virtualenv (2007, Python 2.5)
- Pip (2008, Python 2.6/3.0)
- Virtualenvwrapper (2010)
- Pew (2013)
- Wheels (2013)
So what?
Pipenv pulls all of this together
- Virtualenv management
- Dependency installation
- Canonical notation
- Reasonable upgrade process
Why should I use it?
- Reproducible builds
- Simplifies sharing projects with other developers
- Conflicting version mitigation
Basic usage
<Do live coding, pray it works>
pipenv install
pipenv run
Pipfile, Pipfile.lock
Pipfile is for me, Pipfile.lock is for you.
Pipfile lists just the packages and versions you asked pipenv to install directly (the canonical dependencies).
Pipfile.lock lists the packages that were actually installed (including their dependencies and exact versions).
Migrating from requirements.txt
Undoing things
- Remove individual packages:
pipenv uninstall
- Remove virtualenv:
pipenv --rm
Thank You
http://pipenv.vitale.io (presentation)
http://pipenv.readthedocs.io/en/latest/ (Pipenv Docs)


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Makes 150-180ml/5-6fl oz
Dietary
This fruity spiced syrup is perfect for mixing into sparkling wine or lemonade, or topping yoghurt or desserts. Use the leftover rhubarb for a pie or crumble.
Bring the juice, zest, cloves and rhubarb gently to the boil in a large saucepan over a medium heat. Reduce the heat and simmer, stirring occasionally, for 10-12 minutes, or until the rhubarb has almost broken down.
Strain the rhubarb mixture through a fine sieve into a jug, pushing the fruit with the back of a wooden spoon to extract as much juice as possible. Pour the strained liquid (there should be about 150-200ml/5-7fl oz) into a clean saucepan.
Stir half the sugar into the strained liquid until dissolved. Add the remaining sugar a tablespoon at a time, and the ground cinnamon a pinch at a time, stirring and tasting after each addition, until the sweetness and spiciness are to your liking.
Bring to the boil, then reduce the heat until it is simmering and the sugar has dissolved. Simmer for 3-4 minutes, or until the mixture forms a light syrup that coats the back of a metal spoon.
Pour the syrup into a sterilised bottle (preferably with a tap at the bottom) and seal. Set aside to cool. Tie a cinnamon stick to the neck of the bottle for decoration, if desired.


CHIEF WARDEN
Associate WARDEN
ADSA
Associate ADSA
President, Gymkhana
Caretaker, Boy's Hostel
Caretaker, Girls's Hostel
Caretaker
Security head
Boy's Hostel gate
Girl's Hostel gate


$15
Color:
Size:
Our best-selling t-shirt is perfect for summer and a classic choice for every day. Looks great by itself or under a blazer.


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AP Top Political News at 6:51 a.m. EST
by EndPlayDemocrats spar at debate over health care, how to beat Trump
The Latest: Buttigieg takes hits on issue of experience
‘On whose authority?': What to watch in impeachment hearings
Key witnesses will cap intense week in impeachment inquiry
In wake of impeachment testimony, no signs yet of GOP cracks
Trump's ‘no quid pro quo' call open to interpretation
Fiona Hill, adviser with sharp eye for detail, is next up
Official: Ukraine asked about aid on day of Trump call
Gore kicking off 24 hours of climate talks around the world
China demands Trump veto bills on Hong Kong


From venue to events management, catering, sourveniers to events designs and decoration.
I and Eye
, is the exact word combination that perfectly depicts this stance, it isn't only about the professionalism, but also the passion and personality.
The eventuality of our existence is to make your events awesome and remarkable. We make that possible by discharging the best our professional events services to you whenever you need them
It is our greatest delight that our website is launched, up and running for our most eteem customer. Another way of serving you better.


{% extends 'base.html' %} {% block body_block %}
Do you want to see the existing movies or go to admin panel?


--- layout: null ---
Changes in Hamilton County school personnel salaries from 2008 to 2016
Graphic: Metro Ideas Project Source: Hamilton County Department of Education, U.S. Department of Education.


Scheduling
Computer Architecture I
Computer Architecture II
The C Programming Language
Operating Systems I
Operating Systems II
Python OOP
Algorithms I
Algorithms II - The Traveling Salesman Problem
Dijikstra’s D3 Demo


Beta This is a test version of the layout of this page. Take the survey to help us improve it
Guidance
Data management system for ITT providers and lead schools involved in School Direct.
The ITT data management system provides access to:
Lead schools can register for School Direct places by accessing the schools data management system . New lead schools are required to create an account.
Before creating an account you should read the short guide which describes the information that you need to start the registration process.
As a university you should log in using the HEI data management system .
As a school-centred initial teacher training provider ( SCITT ) you should log in using the NCTL data management system .
If you have forgotten your password, please request a new one from the relevant data management system homepage.
If you have any problems accessing the data management system, please contact:
A user guide is available with more detailed instructions in the help section on the data management system.
As part of the allocations registration process it is the responsibility of the lead school (in the case of School Direct courses) or ITT provider (for provider-led courses) to ensure that requests are submitted in a timely and accurate manner. The data management system will generate an automatic email when you submit or confirm course information. This email is confirmation and proof that your request has been submitted. If you don’t receive this email within 24 hours, please contact<EMAIL_ADDRESS>, as we may not have received your request. Otherwise we cannot guarantee your request will be considered.
NCTL cannot be held responsible if emails are not received because the user has registered with an invalid or incorrect email address.
For further information, read the requesting initial teacher training places: 2017 to 2018 guidance.


What are blocks, procs and lambdas? Provide code examples to show the differences between each of them. What makes procs and lambdas different to methods?
Blocks
A block is a set of statements within a pair of curly braces {...}
or a do ... end
. Blocks are pieces of code attached to method calls and can only be used immediately after a method call. eg:
array = [1,2,3,4,5]
array.map { |element| element * 2 }
# => [2,4,6,8,10]
Proc
The big difference between a block and a Proc is that a Proc is an abject whereas a block isn't. It is an instance of the Proc class and since it is an object it can have methods called on it and can be assigned to a variable.
array = [1,2,3,4,5]
p = Proc.new { |element| element * 2 }
array.map(&p)
# => [2,4,6,8,10]
proc = Proc.new{puts 'Hello'}
proc.call
# => 'Hello'
The proc can be called using the (&p
) as shown above, by using proc.call
or proc.yield
.
Lambda
array = [1,2,3,4,5]
lam = lambda { |element| element * 10}
array.map(&lam)
# => [10,20,30,40,50]
lamb = lamda { puts 'Hello' }
lamb.call
# => 'Hello'
A lambda is also a member of the Proc class and as you can see above they are very similiar but they do have slight differences. When a Proc recieves less arguments than expected it'll assign nil to the missing arguments whereas a Lambda will not run and throw an error.
proc = Proc.new { |a, b| "#{a += 1}, #{b += 1}" }
proc.call 1
# => "NoMethodError: undefined method '+' for nil:NilClass"
lam = lambda { |a, b| "#{a += 1}, #{b += 1}" }
lam.call 1
ArgumentError: wrong number of arguments (1 for 2)
Although both the above methods failed you can see that they failed for different reasons which shows the difference between how the execute.
Another difference is how Procs and Lambdas treat return
thats rub within a method.
def lambda_return
lam = lambda { return }
lam.call
puts 'Hello lambda'
end
lambda_test
# => 'Hello lambda'
def proc_return
proc = Proc.new { return }
proc.call
puts 'Hello proc'
end
proc_test
# =>
A return within a lambda triggers the code immediately outside the lambda block ('hello lambda'
) therefore giving us the statement printed out. In contrast the return within the Proc triggers the code outside of the method where the Proc is being called and so nothing is printed to the screen.
What makes Procs and Lambdas different from methods is that they do not begin a new closure scope and therefore you can access variables defined outside the scope of your Lambda or Proc which you can't with methods. Also unlike methods, Procs and Lambdas can also be assigned to variables.
Chris


Israel
Mor Rubinstein is an Israeli open data geek living in Oxford, UK. During the day Mor works as the Global Open Data Index Community Outreach Coordinator at Open Knowledge. In her spare time she also volunteers at the [Public Knowledge Workshop](http://www.hasadna.org.il/en/) (Also known as "Hasadna"), an Israeli open data technology NGO which builds applications to make data available to Israeli citizens, and the place where she started her first steps in Open Data.
Israel ranked #44 in the 2014 Open Data Index / Other stories from Middle East
For the second year in a row, the Global Open Data Index caught us up in the midst of the Jewish holiday season. Luckily, we had the Public Knowledge Workshop (AKA Hasadna) Hackathon coming up after all of the high holidays, which allowed two of our finest volunteers, Ido Ivri and Noam Castel to spend some quality time with the Index and to submit updates to it. However, the work did not take too long. This is not because the Index is an easy task, it’s actually quite complicated. The main reason was that almost nothing has actually changed in between 2013 to 2014, and in the few cases something did change, it actually changed for the worse…
As the days went by, Hasadna members were watching somberly how Israel is going downhill all the way from rank #24 to somewhere in the bottom of the to 30s. This doesn’t surprise us, but it allows us, for the first time, to have a clear look at what we are standing against. Two years ago, we had a dedicated Government Minister to the subject of open data, a national CIO whom we had a constant dialogue with, and an OGP program with milestones that were supposed to help us to become a more open, transparent and accountable state. As the government changed we lost the dedicated Minister, the CIO resigned and no one replaced her, and the OGP proposal is literally stuck. We have some progress with FOIA, but even government spending is still under a long FOI request that only helped to cover less than 20% of all Ministries.
What will we take from the Index results as civil society? First of all, the way in which government websites are offering data in is horrible. We need more machine readable data available to us for reuse, and less by “on demand” mechanisms, and more by regular updates. This brings us to the second action - licenses. In order for us to re-use the data as civil society, and even more so, in order to fulfill the economic potential of open data, we need clear and open licensing to all government data. The current situation, when NONE of the government offices is offering such a license, is hindering our ability to make good of open data. Advocating for the importance of licensing might help us to achieve an even higher goal than transparency alone; not only will the data will be open, it can actually create economic value, generate revenue, and new use cases that will serve as examples to how opening data is beneficial to Israeli Society.
For the time being, we have to see how we can use the Index as a tool to promote our goal to a more open Israel. Hopefully, we will see some more green and less red in the results next year.


I am a web developer from Mombasa, Kenya with an education from Moringa School and Andela. I build both interactive and business commercial websites.


{% extends 'base.html' %} {% import 'macros.html' as macro%} {% block styles%} {{ super() }} {% endblock %} {% block content%}
We allow you to create a pitch of your own. you can also comment on other users pitches and have yours commented on
We have also added the feature of upvoting and downvoting a pitch.


@MarcySutton IMO not always, definitely not. If you look at the answer marked as the answer, you'd understand why. How many hours should we waste for cross-browser compatibility. So, when you absolutely can, (sure, not always) you can use background images. Like I said, JMO


May 2019
Friday
Day w Dorota only...
♦ While the rest of the group is away. We interview Jesus about the project, and he comes up with so many ideas I now have to buy another notebook.
♦ Back in the days, IciMarseille was in need of a design for their outdoor spaces - a parking lot - which heats up the space like hell during the summmer period. I think of that space as a cool area to investigate. Art pieces can be tested there without fearing vandalism or delay in resource consent from local council, green pieces of ecosystem are required. I send a bottle in the water to see what will come out of it.
Thursday
Off
♦ breathing out. Heading to Aix for a walk, getting some fresh ideas, such as : can we present the concept as a labelled approach (the way "voyage immobile" is offering experiences with the same backstory)?
♦ I find an old, ready for hack vintage radio.
rien
Wednesday
Ecosystem Day 2
♦ We brainstorm about the activities, pricing and type of persona who could be potentially interested in a co-living experience here. We go from focusing on the villa to focusing on the overall experience at thecamp.
rien
Tuesday
Everything has already been done
♦ Waiting for feedback from emails sent yesterday, We get together with Amanda and Bidisha, smash the final questions about the TranSpecies Radio. Bidisha has done extensive research about the technical aspect of the project, Amanda and I status on a repurposed vintage radio (and its features) as analog object to scroll through all channels available, we discuss workshops to run so groups of people can populate the livestream ecosystem. And as we are about to fix a planning on paper until the proof of concept on the 11th of June, an email from Eric comes in (5pm). Following his feedback from Friday, Amanda looks up the name provided lands on a project that is.... EXACTLY what we intended to do. The technical details, the back-end, the overall visual design... everything is in it. See for yourself here .
♦ Best of it all, one art project that uses this system is a vintage radio in second life , pushing the contradiction to the max (keeping in mind that the idea behind the TranSpecies Radio is to connect people with their real ecosystem). We giggle, and order at least a couple to set the mood to fun-time. In the midst of this announced hellist time to re-design our goal within the tight deadline, we can hang on to one excellent news : the TranSpecies Radio is a project that others judged good enough already to spend excessive amount of time on it.
Last thing : this project was developed 10 years ago right here, in Aix. It is in the air... video.
Monday
A short week getting started
♦ I research the opportunity framed yesterday with Lily, grasped the complexity of re-creating an ecosystem, even imperfect or relying on human intervention to survive. I end up asking the question around, emailing some people with a specialisation in urbanism - I suspect it belongs to the realm of landscape gardening. Wait and see.
♦ We present the evolution of the project again. TranSpecies Radio with an side-exploration. I still mention I am looking for direct environmental impact, but now it sound a little old and doubtful.
In the meantime the compost in the green house dooes feels really good under the scorching sun, and has been invaded by a new specie of much smaller but voracious larvae, providing 40 grams of feed per day to the future fishy fish fish.
Sunday
Lazy Rainy day with a bump of inspiration
♦ Wake up and extended breakfast with Lily, sharing with me some of her work as a environmental law intern in the urbanism realm. She points out that, while patching together her proposal about retrofitting an area of Marseille with more Tram, more green space and less cars, the only technical sheets available for "vegetalising" the area are about plant separated from their ecosystem. This approach result in green, but dead space, where wildlife is not represented, where the magic of natural ecosystem falls into oblivion, and so it will stay in the eye of the city-dweller. Nature is at best a green patch to sit on, offering not interesting features that she/he can be drawn to, interact with, and are worth fighting for. I cannot help asking : what if technical ecosystem sheets would be fitted in urban retrofitting proposal, would it change the face of cities?
And so I plant a bunch of salad in the veggie garden.
Saturday
Outdoor Brain Cleaning
♦ Big update of the green house, adding a reproduction space for the future flies. Big adjustment, lots of connections made between the now distinct 3 spaces : plants, flies and "larvae factory".
And then out in Aix to catch up with friends.
Friday
...and Thursday ends.
♦ In a great mood only sleepless nights with friends provide, morning flies by.
♦ The whole solar kit is now plugged onto the green house - no more irriguation required. While I fool around outside, my mushy brain in reboot mode, Eric mentions a friend of his who has developped an apparently very similar project to the TransSpecies Radio...
And beauty sleep!
Thursday
Thursday begins...
♦ I wake up with the insane idea to turn the whole team into a bunch of fake interns that bump into a time capsule while taking a walk in the forest behind the camp. Slowly unfolding the mystery behind all the broken objects, plans, and side-notes left behind. We would all share it on social media, using our own personal account, and letting our crowd in the darkness about the truth. It would be incredibly fun. It is mentionned here so I can forget about it all immediately.
♦ Looking into the tech-side of the TranSpecies Radio, we break down the live-streaming pipeline with Tobi, helping us select the right option between Server-based IOT and LoRa wireless. The Fablab has been pillaged recently and finding a multimeter to adjust a step-down module for the proto become a hardcore side-quest.
"Tactical Urbanism" is self-proclaimed best book of the week.
rien
Wednesday
Necklace
♦ We make a proto necklace that hosts a seed. It tells a story with many ingredients : it is hand-made, nurtures life, is personal to its owner. I could add : it is a compelling future held close to the heart.
Apart from that I speak a lot with a lot of people.
rien
Tuesday
collective intelligence is f**king hard
♦ Morning games led by Djeff that proves nothing more than without organisation, collective intelligence is chaotic and inefficient. His workshop stops at the failing stage at this impact the participants' motivation negatively. What is the point?
♦ Afternoon project definition where I am reminded that telling a story is as important as acting upon it! I lay out the tasks without setting up the background story again, and it seems suddenly tasteless and unintersting to the team - lesson learned! The idea of frugal innovation workshop towards Drawdown needs a lighthouse.
And so I cover my board with pretty pictures of space exploration posters and solarpunk designs :)
rien
Monday
Continuation of Friday's brainstorming
♦ With Dian and Blue added to the team, brainstorming are more lively - in a excellent way. We acknowledge the open-source video are of no interest (Youtube and instructable were born years ago). Are left the 1/ready-to-assemble kits and 2/workshops. While Bidisha has a feeling of deja-vu - seems like a variation of what she usually does back home - Blue focuses on delivering the message right - and to who. How to bring this concept to people like... Blue basically? As I scribble on the whiteboard, between two drawings : "a new door to a community of doers, in sync with their ecosystem, sharing simple solutions to big problems."
♦ Some questions arising : Don’t see anything new / How does it survive / How much energy does it take from us to keep it alive after the hive / What are the final deliverables / How do you build trust within the community to start the project / Can it live in an institution / In a city or outdoors? It seems this concept is way beyond the comfort zone of many. Damn.
♦ Quick calculation : only 36 days of project development between Beginning of June and end of August.
♦ Britta Riley disappeared after crowdfunding 250000$ for the windowgarden project. The community website also disappeared. Wow.
Our Monday evenings will be stolen by Game of Thrones no longer.
rien
rien
Saturday
Arles / Luma, day 1
♦ Heading to Arles with Dora, Amanda, Stef, Dian, Blue, Myroslava and Flo. Visit, food and drinks.
♦ Visit of Luma exhibition, day 1.
Friday
Protoyping / change of direction
♦ With Blue and Dian : prototyping of a bin that gives you feedback when you throw your plastic bottle.
♦ Brainstorming about another concept for our group project, focused on frugal innovation applied to solution for carbon emissions based on the drawdown website.
rien
Thursday
Protoyping : Interspecies Radio
♦ Yesterday as I was protootyping the IA plant the rest of the team came up with a concept, so we prototype it. Prototyping of an interspecies radio. The general idea is to have live natural sound that the user can mix. We keep this project as a backup final project.
rien
Wednesday
Protoyping : Voicing Feedback plant
♦ Selection of Camp Ecosystem Project. I go for the Co-Living and Vegeduc project.
♦ prototyping of an feedback plant : plant you buy from an NGO provides you with weekly updates from... the plant that is being planted for reforestation purpose. Just listen to that lovely voice here, thanks to Stef.
♦ While prototyping, the rest of the group comes up with another idea. Sylvain comes to the hive to provide us with feedback.
rien
Tuesday
Cross-design
♦ Today we work on another team's project. Our team works on "Blank", a project from the Ihab/Florian/Stef team. One day to bring them a new perspective on their project and bring the Hive back together. We propose a system where clothing prices are including environmental externalities. We use a puppet theater as a way to fake the mobile phone screen.
♦ Coincidentally, they end up working on ours, and come up with a similar idea than the "augmented reality and plant in public space" idea.
♦ Group photo. Yep.
Monday
research
♦ How to respond to carbon emissions, and become carbon negative? Drawdown offers ranked solution.
Sunday
visit nice
♦ Catch up with Grandma and buy a pair of locally made "espadrilles".
rien
Saturday
relax and Relocate
♦ The plants and larvae are now outside, in a tiny greenhouse just designed right for them.
Friday
Presentation of our project.
♦ Additional slides to the original ones - Dorota/Amanda/Bidisha prepare them. Stef leaves our team to rightfully focus on another project more data-scientist-demanding. I mention that I am still looking for a way to generate direct environmental impact through that project - otherwise it is just wishful art.
♦ Visit from Chris, who is into rewildering.
Wednesday
Day approximately off
♦ Fly net bought to put the larvae house in the green house - without spreading flies everywhere.
♦ final Retake of the platform for solarpunk cities. Fun, however judged too much work for 4 months, dependant on the decision of local councils, and not easy to bring back home or put on a CV. It might also be very system-thinking/video gam-y for the group. The data-to-art project wins the vote. Because the project is a little less personal to me, pressure is down a notch.
♦ Quick beebuzz prep, and watching "Guava Island" for a splash of color.
rien
Tuesday
Dropping down the # of projects...
♦ ... from 9 to 3.5. Following bits and pieces of the "sprint" recipe, we map each projects, biggest challenges underlined for each of them. The 5 Why's are answered. Then Dorota has the genius to dumb down the names of each projects : very revealing :)
♦ I step into the facilitator's role a few times, but by doing so I lose my place as a participant - I did not travel 20000 km to facilitate other people's work. Something is wrong here...
♦ OMG : first larvae to make it out of the Larvae house!
rien
Monday
Project definition week.
♦ Methodology from Amanda : we all drop as many ideas as possible for the project within an hour. Outline the best ones. Gather them together. Outline the trends. Prepare for asking 5 why's (methodology from Bidisha).
Sunday
Recovery
♦ Back from Marseille slowly. Patch together the greenhouse, blown away by the wind. Put together a Larvae house - this is a inter-specie right. Crash :)
Saturday
Boosting through - shopping and partying
♦ Good chat with Horst, stuffing breakfast in my face.
♦ Quick swing by Decathlon to be able to go camping hammocking soon, followed by...
♦ ... a night out at the cite de l agriculture for the 48 hours of the urban agriculture. Full of fun folk music then crash at Nanaui's place :)
Drop off of a little analog message to Coco Velten. See below...
rien
Friday
Presentation...
♦ ... of our good time spent in nature, and our next approach. Check out the slides :) It is super vague, it is very hard to nail down a project with 4 people in and no facilitator.
rien
Thursday
Prototyping
♦ Putting together a fake lab to take outdoor, picking up samples and place them on the map. Lovely afternoon - we FINALLY DO something.
rien
Wednesday
Offfffff
♦ Recovery day.
A 6-month residency program at TheCamp, France. Hosting 20 artists and creators from all over the world. A collaborative expedition to explore and hack the future, developing concrete solutions applied to universal issues. Energy, oceans, mobility, education, quality of life…
Just like previous seasons, Hive #03 is full of interdisciplinary backgrounds: choreographer, machine-learning expert, engineer, creative director, photographer, film-maker, coder, maker, sound artist, architect, service designer, UX designer, illustrator, digital artist…
Baptiste initially worked as a 3D animator and Lead Artist in the video game industry, widening his technical skill set and coordinating the effort of small creative teams.
Baptiste regularly stepped back from his digital trade, working as a craftsperson, rock climbing instructor, and studying therapeutic massage, sustainable horticulture and more recently digital fabrication.
His taste for the outdoors led him to settle in New Zealand and dedicate his time to the creation of a community lab focused on local fabrication, urban food production and civic engagement.
Write us a message below if you wish to get in touch, thanks!


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one | |
| 3 | * or more contributor license agreements. See the NOTICE file | |
| 4 | * distributed with this work for additional information | |
| 5 | * regarding copyright ownership. The ASF licenses this file | |
| 6 | * to you under the Apache License, Version 2.0 (the | |
| 7 | * "License"); you may not use this file except in compliance | |
| 8 | * with the License. You may obtain a copy of the License at | |
| 9 | * | |
| 10 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 11 | * | |
| 12 | * Unless required by applicable law or agreed to in writing, | |
| 13 | * software distributed under the License is distributed on an | |
| 14 | * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | |
| 15 | * KIND, either express or implied. See the License for the | |
| 16 | * specific language governing permissions and limitations | |
| 17 | * under the License. | |
| 18 | */ | |
| 19 | package org.apache.myfaces.shared.trace; | |
| 20 | ||
| 21 | import java.util.logging.Level; | |
| 22 | import java.util.logging.Logger; | |
| 23 | ||
| 24 | /** | |
| 25 | * Support class for tracing method calls providing params, exceptions and return types | |
| 26 | */ | |
| 27 | public class TracingSupport | |
| 28 | { | |
| 29 | private static final Object[] EMPTY_PARAMS = new Object[0]; | |
| 30 | ||
| 31 | private Logger _logger; | |
| 32 | private Level _level = Level.FINE; | |
| 33 | private String _sourceClass; | |
| 34 | ||
| 35 | public TracingSupport() | |
| 36 | { | |
| 37 | this(Logger.getAnonymousLogger()); | |
| 38 | } | |
| 39 | ||
| 40 | public TracingSupport(Class clazz) | |
| 41 | { | |
| 42 | this(clazz.getName()); | |
| 43 | } | |
| 44 | ||
| 45 | public TracingSupport(String className) | |
| 46 | { | |
| 47 | this(Logger.getLogger(className)); | |
| 48 | } | |
| 49 | ||
| 50 | public TracingSupport(Logger logger) | |
| 51 | { | |
| 52 | _logger = logger; | |
| 53 | _sourceClass = logger.getName(); | |
| 54 | } | |
| 55 | ||
| 56 | /** | |
| 57 | * @return the log level | |
| 58 | */ | |
| 59 | public Level getLevel() | |
| 60 | { | |
| 61 |
1
1. getLevel : replaced return value with null for org/apache/myfaces/shared/trace/TracingSupport::getLevel → NO_COVERAGE |
return _level; |
| 62 | } | |
| 63 | ||
| 64 | /** | |
| 65 | * | |
| 66 | * @param level | |
| 67 | * the log level to use | |
| 68 | */ | |
| 69 | public void setLevel(Level level) | |
| 70 | { | |
| 71 |
1
1. setLevel : negated conditional → NO_COVERAGE |
if (level == null) |
| 72 | { | |
| 73 | throw new IllegalArgumentException("log level can not be null"); | |
| 74 | } | |
| 75 | _level = level; | |
| 76 | } | |
| 77 | ||
| 78 | public <T> T trace(String methodName, Closure<T> closure) | |
| 79 | { | |
| 80 |
1
1. trace : replaced return value with null for org/apache/myfaces/shared/trace/TracingSupport::trace → NO_COVERAGE |
return trace(methodName, closure, EMPTY_PARAMS); |
| 81 | } | |
| 82 | ||
| 83 | public <T> T trace(String methodName, Closure<T> closure, Object... params) | |
| 84 | { | |
| 85 | if (_logger.isLoggable(_level)) | |
| 86 | { | |
| 87 | _logger.logp(_level, _sourceClass, methodName, "ENTRY" + prepareParams(params), params); | |
| 88 | try | |
| 89 | { | |
| 90 | T result = closure.call(); | |
| 91 |
1
1. trace : negated conditional → NO_COVERAGE |
if (!Void.class.equals(result)) |
| 92 | { | |
| 93 | _logger.logp(_level, _sourceClass, methodName, "RETURN {0}", result); | |
| 94 | } | |
| 95 | else | |
| 96 | { | |
| 97 | _logger.logp(_level, _sourceClass, methodName, "RETURN"); | |
| 98 | } | |
| 99 |
1
1. trace : replaced return value with null for org/apache/myfaces/shared/trace/TracingSupport::trace → NO_COVERAGE |
return result; |
| 100 | } | |
| 101 | catch (RuntimeException e) | |
| 102 | { | |
| 103 | _logger.logp(_level, _sourceClass, methodName, "THROW", e); | |
| 104 | throw e; | |
| 105 | } | |
| 106 | } | |
| 107 | else | |
| 108 | { | |
| 109 |
1
1. trace : replaced return value with null for org/apache/myfaces/shared/trace/TracingSupport::trace → NO_COVERAGE |
return closure.call(); |
| 110 | } | |
| 111 | } | |
| 112 | ||
| 113 | private String prepareParams(Object[] params) | |
| 114 | { | |
| 115 |
2
1. prepareParams : negated conditional → NO_COVERAGE 2. prepareParams : negated conditional → NO_COVERAGE |
if (params == null || params.length == 0) |
| 116 | { | |
| 117 | return ""; | |
| 118 | } | |
| 119 | StringBuilder builder = new StringBuilder(" "); | |
| 120 |
3
1. prepareParams : changed conditional boundary → NO_COVERAGE 2. prepareParams : Changed increment from 1 to -1 → NO_COVERAGE 3. prepareParams : negated conditional → NO_COVERAGE |
for (int i = 0, size = params.length; i < size; i++) |
| 121 | { | |
| 122 | builder.append("{"); | |
| 123 | builder.append(i); | |
| 124 | builder.append("}"); | |
| 125 |
3
1. prepareParams : changed conditional boundary → NO_COVERAGE 2. prepareParams : Replaced integer addition with subtraction → NO_COVERAGE 3. prepareParams : negated conditional → NO_COVERAGE |
if (i + 1 < size) |
| 126 | { | |
| 127 | builder.append(","); | |
| 128 | } | |
| 129 | } | |
| 130 |
1
1. prepareParams : replaced return value with "" for org/apache/myfaces/shared/trace/TracingSupport::prepareParams → NO_COVERAGE |
return builder.toString(); |
| 131 | } | |
| 132 | ||
| 133 | public Logger getLogger() | |
| 134 | { | |
| 135 |
1
1. getLogger : replaced return value with null for org/apache/myfaces/shared/trace/TracingSupport::getLogger → NO_COVERAGE |
return _logger; |
| 136 | } | |
| 137 | ||
| 138 | /** | |
| 139 | * @param logger | |
| 140 | * the logger to set | |
| 141 | */ | |
| 142 | public void setLogger(Logger logger) | |
| 143 | { | |
| 144 |
1
1. setLogger : negated conditional → NO_COVERAGE |
if (logger == null) |
| 145 | { | |
| 146 | throw new IllegalArgumentException("logger must not be null"); | |
| 147 | } | |
| 148 | _logger = logger; | |
| 149 | } | |
| 150 | ||
| 151 | /** | |
| 152 | * @return the className | |
| 153 | */ | |
| 154 | public String getSourceClass() | |
| 155 | { | |
| 156 |
1
1. getSourceClass : replaced return value with "" for org/apache/myfaces/shared/trace/TracingSupport::getSourceClass → NO_COVERAGE |
return _sourceClass; |
| 157 | } | |
| 158 | ||
| 159 | /** | |
| 160 | * @param className | |
| 161 | * the className to set | |
| 162 | */ | |
| 163 | public void setSourceClass(String className) | |
| 164 | { | |
| 165 |
1
1. setSourceClass : negated conditional → NO_COVERAGE |
if (className == null) |
| 166 | { | |
| 167 | throw new IllegalArgumentException("className must not be null"); | |
| 168 | } | |
| 169 | _sourceClass = className; | |
| 170 | } | |
| 171 | } | |
Mutations | ||
| 61 |
1.1 |
|
| 71 |
1.1 |
|
| 80 |
1.1 |
|
| 91 |
1.1 |
|
| 99 |
1.1 |
|
| 109 |
1.1 |
|
| 115 |
1.1 2.2 |
|
| 120 |
1.1 2.2 3.3 |
|
| 125 |
1.1 2.2 3.3 |
|
| 130 |
1.1 |
|
| 135 |
1.1 |
|
| 144 |
1.1 |
|
| 156 |
1.1 |
|
| 165 |
1.1 |


Floating Pollen Flower
Click the flower to multiply and click on different flowers for different sounds!


Golden Hour
19th February at STEREO
THE GOLDEN HOUR takes GLASGOW by storm!
at…
Margins Book and Music Festival presented by Cargo and Forest Publishing
February 19th, 2011
Stereo, Glasgow
4pm – 6pm
£1
Readings From:
Ryan Van Winkle — Long stories and short poems from The Scottish Poetry Library’s Reader in Residence. His book ‘Tomorrow, We Will Live Here’ was recently published by Salt.
Nick Holdstock — The prose writer and journalist holds his strong meat. His fiction has appeared in The Southern Review, Stand and Northwords Now. He has written about China for the London Review of Books and N+1 and his book on China (The Tree That Bleeds) will be published by Luath Press in early 2011.
Ericka Duffy — hot new prose from this photographer, film-maker, poet and general renaissance woman.
Music From:
Small Feet, Little Toes — a solo acoustic performance – strum strum, sing sing
Billy Liar — Acoustic + infectious lyrical punk fury.
Toby Mottershead — a rare solo set from the Black Diamond Express frontman. Old time rock n’ roll goes stomp box blues.
more Info at Forest Publications
FILM MONDAYS
Film Nights every Monday at The Forest - February
more info on film programs at the Forest please visit our website
Darkroom Free Workshop: Film Development Demo
Saturday 12th February 12-2pm
Email<EMAIL_ADDRESS>to sign up…
Bring an exposed roll of film to process or come along just to watch and learn. For beginners and those who wish a refresher alike.
Please email<EMAIL_ADDRESS>to sign up as there is limited physical space.
We will be having more of these, so if you can’t make it on Sat, email if interested and we’ll keep you informed!
READ-easy The Inky Fingers Writers’ Group
Thursday 10th February 6–9pm
more info at Inky Fingers
Films@The Forest Fundraiser – Call for Submissions
End of Submissions: 22nd of February
Dear Film-maker,
Are you currently studying film and the art of film making?
Would you like to have the opportunity to show your work…… and help an independent art space in Edinburgh?
Doesn’t matter if you’re still a student or an amateur, we give you a possibility to show your art to a wide audience, in a friendly, open venue: The Forest Café!
As a part of our fund-raising campaign, we are organising a day of showing films (any genre) made by local film-makers as an act of resistance in order to save free art through free art.
This event will take place on February the 25th. Please send us your works and a little blurb about you before February the 22nd, to the<EMAIL_ADDRESS>address.
Please send only .mov/quicktime format.
For more information, feel free to contact us using the e-mail
address above or join our Facebook group Films at the Forest.
You can also look us up on our blog filmsattheforest.blogspot.com
Hope to see you and your films at the Forest Café!
Save The Forest St. Brigit’s Day Ceilidh
Saturday 5th February, 1pm, in the hall
Storytelling, drama, open stage, workshops…
Scottish Ethnology Society ‘Save the Forest’ St. Brigit’s Day Ceilidh
A Bhride chaoin cheanail,
Is caoimh liom anail do bheoil,
’D uair reidhinn air m’ aineol
Bu to fein ceann eisdeachd mo sgeoil.
‘Thou Brigit, fair, charming,
Pleasant to me the breath of thy mouth,
When I would go among strangers
Thou thyself wert the hearer of my tale.’
(Carmina Gadelica)
To observe Imbolc, St. Brigit’s day and/or to raise money to secure the Forest Café’s long-term future by acquiring a building, the University of Edinburgh Scottish Ethnology Society will be holding a Ceilidh in the fullest sense of the word… a folk-play called ‘Galloshins,’ storytelling, singing, ballads, food and dancing. There will be contributions from established performers but also opportunities for anyone to share songs or poems or stories that they like.
Donations to the Save the Forest campaign will be encouraged but not compulsory and food will be available from the café.
So come along, on 5 February 3pm!


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“I am a dedicated, hardworking and proactive IT Engineer with a background in Programming, Networking and designing.I am currently looking for an opportunity to utilise my technical skills in a challenging working environment and become a valuable asset to the organisation that I work for.


Selecting Text Report from the left-hand frame will give you a printable text version of the fitter report. It contains sections similar to those of the XML report (a summary section, errors and warnings, mapped logic, function blocks, function block details, a text-graphical display of the pinout, and a summary of compiler options), but it is not easily navigable. It is best to use the text report only when you need to print out a hard copy of the fitter results.


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I'm a 32-year-old male, reasonably experienced with a range of psychoactive substances, especially psychedelics. I've been curious about the effects of smoked wormwood ever since reading both Jonathan Ott and Dale Pendell describe it as 'definitely psychoactive'. I ordered a small quantity of 'wormwood extract' from an online ethnobotanical vendor. I asked the vendor what it was precisely, but their reply was a little vague. I was told it is not an essential oil, but rather it is 'a resinous extract and is aproximately 7X the strenght or [sic] regular wormwood.' My guess is that it is probably made by a simple ethanol extraction that is evaporated down, but I cannot be sure.
I was concerned about the possible toxicity of thujone. Having read two reports of extremely adverse reactions to wormwood extracts (both ending in the hospital), I wanted to be cautious. After doing some research and a little math I became pretty confident that if I started small and gradually worked the dose up I was very likely to find psychoactive effects well before I reached a dose range that would be dangerous.
At 10:34 PM, stone-cold sober and feeling alert, I began smoking a nugget of wormwood extract about a half a centimeter in diameter. I smoked the lump in a small metal cannabis pipe. It did not burn readily and I had to apply flame constantly, producing a hot, flamey hit. The taste is inoffensive and smokey, reminding me a little of the taste of burnt marshmallows. I probably tasted the cannabis resin on my pipe more than I tasted the wormwood lump. I may have gotten a minor THC buzz in addition to whatever thujone effects I experienced.
There was nothing in either the taste or the experience that made me want to smoke the thingy rapidly, so I took a hit every five minutes or so over the course of about forty minutes. I was flaming the thing and exhaling puffs of smoke so I was clearly getting a good draw. I took 7 or 8 good hits.
After the second or third hit I definitely felt off-baseline. Not really 'high' like cannabis, but spacey and slightly disoriented. I'd get up and wander around the room, and then forget what I had gotten up for. Then I'd sit down and remember, and get up again. I felt rather calm and mellow, but I was feeling pretty mellow before starting. The primary effect seemed to be an unobtrusive muting of my internal mental chatter. It left me with a zoney, spacey feeling, and I didn't feel like doing anything in particular.
I'm glad that I had the experience and I am ready to conclude that I did feel the distinctive effects of thujone. I am eager to have absinthe again soon so I can compare the experiences and see if I can discern any similarities.
There was nothing in the experience that leaves me feeling like it's much worth repeating, except for novelty value. I think it would be interesting to experiment with combining the wormwood extract with other psychoactives - perhaps Salvia divinorum, or even a psychedelic. I am not sure if the possible risks involved with experimenting aggressively with a relatively unknown psychoactive are worth taking, given that the experience was pretty neutral.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Telemetry
Command
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Respond to
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Inquiry
Need input!
Should I alert on harsh movements ?
Yep!
No
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Notify


[gecode-users] API compatibility of gecode 3.4.0 with older versions?
Kish Shen
kisshen at cisco.com
Wed Aug 4 18:58:39 CEST 2010
Hi,
I just tried to compile my existing code (working with gecode 3.0.2)
with gecode 3.4.0, and I was somewhat surprised by a lot of errors,
which seems to indicate that there are major changes in the API.
I know that significant functionality have been added in 3.4, but I had
sort of expected that the old API will still be supported, and I don't
remember any mention of API incompatibility. It looks like even some
rather simple things (which I would not expect to change), like the init
method for IntVar, is not in 3.4's API.
Am I doing something wrong, or has the API really changed significantly?
Cheers,
Kish
--
This e-mail may contain confidential and privileged material for the
sole use of the intended recipient. Any review, use, distribution or
disclosure by others is strictly prohibited. If you are not the intended
recipient (or authorized to receive for the recipient), please contact
the sender by reply e-mail and delete all copies of this message.
Cisco Systems Limited (Company Number: 02558939), is registered in
England and Wales with its registered office at 1 Callaghan Square,
Cardiff, South Glamorgan CF10 5BT.
More information about the users
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Watches
Modern watch devices crafted in pure CSS
Pure CSS Apple Watch Ultra, Apple Watch Series 8 devices. Pure CSS watch devices mockups. Modern watch devices crafted in pure CSS.
Apple Watch Ultra#
Pure CSS Apple Watch Ultra, Apple Watch Ultra in pure CSS
Apple Watch Ultra. Rugged and capable, with precision dual-frequency GPS, up to 36-hour battery life, and three bands for athletes of all kinds.
Apple Watch Series 8#
Pure CSS Apple Watch Series 8, Apple Watch Series 8 in pure CSS
Apple Watch Series 8 features temperature sensing for insights into women’s health, Car Crash Detection, and sleep stages to understand your sleep.


DocControl allows you to create arbitrarily nested forms, to validate arbitrary data structures. You do this by using ContainerFields. create a nested form by creating a containerField then adding subfields to the schema. See example in README.md.
Classes
fields.BaseContainerField is the baseKind for all container-type fields.
DocControl allows you to create, validate and display arbitrarily complex
nested data structures. container-type fields contain other fields. There
are currently two types. A ContainerField
, analogous to a hash of subfields,
and a ListField
, analogous to a list of subfields. container-type fields
act in most ways like a regular field. You can set them, and all their subfields
with setValue
, you can get their, and all their subfields', data with
getClean
or toJSON
.
When a subfield is invalid, the containing field will also be invalid.
You specify a container's subfields in the schema
attribute. Each container type
accepts a different format for the schema
.
DocControl schemas are fully recursive - that is, containers can contain containers, allowing you to model and validate highly nested datastructures like you might find in a document database.
Instance Methods
subfieldChanged(inSender, inEvent)
if an immediate subfield has changed, then we want to perform validation next time inValid called
isValid(opts)
custom isvalid method that validates all child fields as well.
getFields(opts)
getField(path)
return an arbitrarily deep subfield given a path. Path can be an array of indexes/names, or it can be a dot-delimited string
resetFields()
throwValidationError()
getValue(opts)
getClean(opts)
toJSON(opts)
getErrors(opts)
A ContainerField contains a number of heterogeneous
subfields. When data is extracted from it using toJSON
, or getClean
, the
returned data is in a hash object where the key is the name of the subfield
and the value is the value of the subfield.
the schema for a ContainerField is an Array of kind definition objects such as
[{kind: "CharField", maxLength: 50 }, {kind:IntegerField }
.
The ContainerField will contain the specified array of heterogenious fields.
Instance Methods
setValue(val, opts)
setSchema(schema, opts)
validate(value)
getPath(subfield)
A HashField contains an arbitrary number of identical subfields in a hash
(javascript object). When data is extracted from it using toJSON
, or
getClean
, the returned data is in an object where each value is the value
of the subfield at the corresponding key.
A HashField's schema
consists of a single field definition, such as
{ kind: "email" }
.
This doesn't really seem to have a use case for a widget, just for arbitrary json validation. so no widget is provided
Instance Methods
setSchema(schema, opts)
setValue(val, opts)
validate(value)
addField(key, value)
add the field at key with value
removeField(index)
remove the field at index
.
A ListField contains an arbitrary number of identical subfields in a
list. When data is extracted from it using toJSON
, or getClean
, the
returned data is in a list where each value is the value of the subfield at
the corresponding index.
A ListField's schema
consists of a single field definition, such as
{ kind: "email" }
.
Instance Methods
setSchema(schema, opts)
setValue(val, opts)
accepts an array, where each element in the array is the value for a subfield.
if the optional value reset
is truthy, then validation state will be reset.
addField(value, index)
removeField(index)
remove the field at index
.


Projects:
- Currently in development is whopays. Alpha should be available in 2023
- twodo.it, to do list the way you always wanted it to be
- React JS presentations / talks
-
Mobile apps:
- Следи за белкой
- Quizlet app for MS store (has been removed by agreement with Quizlet team), code
Games:
- Tic Tac Toe, which you can't beat
- Santa
- Webgl tetris, and yes, item should go through


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Contracting parties: 2 total: Canada, USA.
Area: EEZs of Canada and USA.
Date entered into force: 1995
FAO association: No.
FAO statistical area: 67.
Objectives: “…to carry out their [Canada and USA] salmon fisheries and enhancement programs so as to: prevent over-fishing and provide for optimum production, and ensure that both countries receive benefits equal to the production of salmon originating in their waters.”
Primary species: Chinook salmon (Oncorhynchus tshawytscha), Chum salmon (Oncorhynchus keta), Coho salmon (Oncorhynchus kisutch), Pink salmon (Oncorhynchus gorbuscha), Sockeye salmon (Oncorhynchus nerka).
Note: stock status data for PSC were not available at the time of the study by Cullis-Suzuki and Pauly (2009).
The figures below show time series of biomass of four main salmon stocks under PSC management; the red dashed lines denote the date PSC was established (1995). For data sources, see Cullis-Suzuki and Pauly (2009).


Buttons are essential for navigating through your application, as well as creating visual landmarks for user actions.
icon


Machine Learning Library (MLlib) Guide
MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. At a high level, it provides tools such as:
- ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering
- Featurization: feature extraction, transformation, dimensionality reduction, and selection
- Pipelines: tools for constructing, evaluating, and tuning ML Pipelines
- Persistence: saving and load algorithms, models, and Pipelines
- Utilities: linear algebra, statistics, data handling, etc.
Announcement: DataFrame-based API is primary API
The MLlib RDD-based API is now in maintenance mode.
As of Spark 2.0, the RDD-based APIs in the spark.mllib
package have entered maintenance mode.
The primary Machine Learning API for Spark is now the DataFrame-based API in the spark.ml
package.
What are the implications?
- MLlib will still support the RDD-based API in
spark.mllib
with bug fixes. - MLlib will not add new features to the RDD-based API.
- In the Spark 2.x releases, MLlib will add features to the DataFrames-based API to reach feature parity with the RDD-based API.
- After reaching feature parity (roughly estimated for Spark 2.3), the RDD-based API will be deprecated.
- The RDD-based API is expected to be removed in Spark 3.0.
Why is MLlib switching to the DataFrame-based API?
- DataFrames provide a more user-friendly API than RDDs. The many benefits of DataFrames include Spark Datasources, SQL/DataFrame queries, Tungsten and Catalyst optimizations, and uniform APIs across languages.
- The DataFrame-based API for MLlib provides a uniform API across ML algorithms and across multiple languages.
- DataFrames facilitate practical ML Pipelines, particularly feature transformations. See the Pipelines guide for details.
What is “Spark ML”?
- “Spark ML” is not an official name but occasionally used to refer to the MLlib DataFrame-based API.
This is majorly due to the
org.apache.spark.ml
Scala package name used by the DataFrame-based API, and the “Spark ML Pipelines” term we used initially to emphasize the pipeline concept.
Is MLlib deprecated?
- No. MLlib includes both the RDD-based API and the DataFrame-based API. The RDD-based API is now in maintenance mode. But neither API is deprecated, nor MLlib as a whole.
Dependencies
MLlib uses the linear algebra package Breeze, which depends on netlib-java for optimised numerical processing. If native libraries1 are not available at runtime, you will see a warning message and a pure JVM implementation will be used instead.
Due to licensing issues with runtime proprietary binaries, we do not include netlib-java
’s native
proxies by default.
To configure netlib-java
/ Breeze to use system optimised binaries, include
com.github.fommil.netlib:all:1.1.2
(or build Spark with -Pnetlib-lgpl
) as a dependency of your
project and read the netlib-java documentation for your
platform’s additional installation instructions.
To use MLlib in Python, you will need NumPy version 1.4 or newer.
Highlights in 2.2
The list below highlights some of the new features and enhancements added to MLlib in the 2.2
release of Spark:
ALS
methods for top-k recommendations for all users or items, matching the functionality inmllib
(SPARK-19535). Performance was also improved for bothml
andmllib
(SPARK-11968 and SPARK-20587)Correlation
andChiSquareTest
stats functions forDataFrames
(SPARK-19636 and SPARK-19635)FPGrowth
algorithm for frequent pattern mining (SPARK-14503)GLM
now supports the fullTweedie
family (SPARK-18929)Imputer
feature transformer to impute missing values in a dataset (SPARK-13568)LinearSVC
for linear Support Vector Machine classification (SPARK-14709)- Logistic regression now supports constraints on the coefficients during training (SPARK-20047)
Migration guide
MLlib is under active development.
The APIs marked Experimental
/DeveloperApi
may change in future releases,
and the migration guide below will explain all changes between releases.
From 2.1 to 2.2
Breaking changes
There are no breaking changes.
Deprecations and changes of behavior
Deprecations
There are no deprecations.
Changes of behavior
- SPARK-19787:
Default value of
regParam
changed from1.0
to0.1
forALS.train
method (markedDeveloperApi
). Note this does not affect theALS
Estimator or Model, nor MLlib’sALS
class. - SPARK-14772:
Fixed inconsistency between Python and Scala APIs for
Param.copy
method. - SPARK-11569:
StringIndexer
now handlesNULL
values in the same way as unseen values. Previously an exception would always be thrown regardless of the setting of thehandleInvalid
parameter.
Previous Spark versions
Earlier migration guides are archived on this page.
-
To learn more about the benefits and background of system optimised natives, you may wish to watch Sam Halliday’s ScalaX talk on High Performance Linear Algebra in Scala. ↩


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Golf: Injured Ko gears up for crack at record women's $1.5 million first prize
(Reuters) - Women’s world number one Ko Jin-young is still worried about her injured ankle as she prepares for this week’s CME Group Tour Championship, where a record first prize will serve as extra motivation.
The winner will receive $1.5 million and be crowned champion of the season-long Race to the Globe points competition, and Ko, 24, is in a race against time to be fully healthy for the no-cut event at Tiburon in Naples, Florida.
She injured her left ankle making a swing at the Taiwan Swinging Skirts LPGA on Nov. 1 and withdrew from the final two tournaments of the autumn Asia Swing.
The ankle is still tender, but not enough to keep her from competing this week.
In a year that has been dominated by youth, with the average tournament winner aged 24, Ko has been in a class of her own on the LPGA Tour.
She has four wins, including two majors, and at one stage went 114 successive holes without dropping a shot.
With prize money of $2,714,281, she has a lead of more than $700,000 over second-ranked Lee Jeong-eun. More than half of Lee’s earnings, $1 million, came courtesy of her U.S. Women’s Open victory.
So big is first prize this week that 10 players are mathematically capable of topping the money list, and as much as Ko would love to win the money title, she is more concerned with how her ankle holds up.
She had an injection after returning home to Seoul from Taiwan.
“Then I practise maybe just one or two days on Monday and Tuesday and then I was here,” she said.
While the LPGA Tour Championship has been modeled on the PGA Tour’s equivalent, there are a couple of notable differences.
The LPGA field is twice as large, and all 60 players begin on the same score, unlike the Tour Championship, which this year used a staggered scoring system, with the top seed starting a whopping 10 strokes clear of the bottom seed in an effort to reward season-long performances.
Whoever is crowned winner on Sunday, Ko will be Player of the Year, calculated by accruing points for top-10 finishes.
She is certainly grateful and not only for her success.
“I’m happy because I’m alive,” she said.
“I want to thank everything about being alive.”


LocaleSettingUnsupportedException()
Occurs if a locale is set while initializing the error reporting framework.
This is done as locale support has not yet been properly designed, and so using anything other than the default is untested.


Warehouse Keeper Mia:
I may seem a humble warehouse keeper, but I have another occupation as well -- a secret occupation...
"Secret?"


--- layout: post title: Whoopah! Freeware support from Symbian date: 2005-10-21 00:00:00 categories: business mobile ---
Whoopah! Freeware support from Symbian: "As of today, all freeware developers of Series 60, 80 and 90 and UIQ applications can have their applications Symbian Signed for free, courtesy of Symbian nd its partners, who are eager to promote freeware and the growth of the application catalogs for their platforms."
Better than nothing; but what this means is that whilst large software developers (who can afford keys) and folks working on freeware are welcomed by Symbian, the guys being discriminated against are the smaller commercial developers.


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aerosol {border-style chest px;} #ffffff;} droplets PPE particles risk cough infection use compression COVID- airway patients px; {font-family airborne droplet enhanced font-size respiratory Health control double; likely plume resuscitation simulator viral wall Elsevier Infection border-color border-width contact evidence influenza produced solid; transmission using {font-style {font-weight Public SARS-COV- bold cadaver centre clinical compression, courier; covid- defibrillation direct droplets, em; face guidance material model model. patient pt;} research resource risk. shields size vicinity


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--- layout: page ---
Dear reader, the YouTube videos will start in the segment of interest. The only way to control the video is through the "Play" and "Stop" buttons that we have provided. The recommended way of visualizing the demos is to pay attention to the target singer's lip movements and then to listen to the estimated samples. Note: Please be aware that, sometimes, the perceivable differences in the singing voice estimates across different models are subtle. We strongly recommend the use of headphones while listening to them. We also would like to draw attention to the spectrograms for visual cues that might better help perceive these differences.
Here, we show some demos of how our models perform in estimating the desired target voice in real world videos (taken from YouTube). Note that none of these singers were a part of the training set.
The videos from YouTube that we saw earlier do not provide the original isolated voices. For this reason, we could only qualitatively evaluate the performance of target voice separation models on such videos. To be able to evaluate quantitatively, we recorded a multi-voice montage with an amateur singer so that we can use the individual voices as ground truth during evaluation. It is a montage with six voices and an accompaniment track. It is a very challenging example because the same singer is shown singing multiple voices at the same time. The song being performed is "The Circle of Life", a popular soundtrack from the movie "The Lion King". Apart from English, the song lyrics also contains Zulu: a language that was not a part of the training set. Also, this singer was not a part of the training set. Here, we estimate the lead voice Rafiki (bottom-center). See the right column in Table 2 of the paper for the quantitative metrics.
Below are the estimates for the target voice Rafiki (sung by the bottom-center face). After 6s (see the ground truth spectrogram), this voice is reduced to silence. From the spectrograms, it is clearly evident that our Y-Net captures the silence in this region better than the other models. Y-Net-r seems to be the best performing model here.
The artificial mixtures are created by randomly mixing a singing voice with another singing voice along with an accompaniment. The two singing voices are a part of our dataset Acappella. The accompaniment is an audio segment randomly sampled from a subset of AudioSet. The mixing is random in the sense that we do not put any constraints regarding the musical appropriateness or aesthetics in the mixing criteria. Hence, the resulting mixtures may not sound like that of a professional music video. We do this so as to report metrics on the singing voice separation quality, which are possible in this case because we have the ground-truth sources (individual singing voice) unlike in the real world examples we saw earlier. Here, we show some results on estimating the desired target voice in such artificial mixtures. For brevity, we only show the singing face of the target voice in the examples below. Again, note that none of these singers were a part of the training set.
Here, we show a failure case where our models typically fail. Our method relies on lip motion to separate target singing voice. There are many music viddemos.htmleos where a group of singers sing perfectly in unison or harmonize maintaining the same lip movements across all the singers. In such settings, our methods fail. We leave it to future work how to address target voice separation in such settings.
In this example, we are trying to separate the male voice. None of our models are able to estimate the male voice correctly in this case. As one can see in the video, the male and female voices are both perfectly synced in terms of lip movements.
[1] A. Ephrat, I. Mosseri, O. Lang, T. Dekel, K. Wilson, A. Hassidim, W. T. Freeman, and M. Rubinstein, “Looking to listen at the cocktail party: A speaker-independent audio-visual model for speech separation,” in SIGGRAPH, 2018.


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import Foundation
/*
Hi Jack, how to override an argument
*/
func getStringA(str: String = "Over") -> String {
//override an argument by assigning
//it the same variable name in
//a let or var statement
let str = "Hi Jack"
return str
}
print(getStringA(str: "Ride"))
/*
21, how to make an argument mutable
*/
func getStringB(str: String) -> String {
//You can also make the argument
//mutable like so
var str = str //just as an example
str = "You scored \(str) points."
return str
}
print(getStringB(str: "21"))
/*
Stuff you can't do out of the box
*/
func getStringC(str: String) -> String {
str = "This is not mutable."
return str
}
print(getStringC(str: "This will error out."))
/*
error: cannot assign to value: 'str' is a 'let' constant
str = "This is not mutable."
^~~
*/


Bubble Sort
Bubble Sort is a naive sorting implementation.
We might thing that to sort an array, we could just run through it element by element and, when a subsequent element is less than the previous element, flip the two values.
Set a flag for swapped
. Each time we flip two values, set the flag to true. After we iterate through the array, if the flag is true, we recursively call the function again & set the value to false.
When we are able to run through the entire array without flipping, we return the sorted array.
This is not an efficient algorithm. Also, Obama said not to use it .
Consider the worst-case scenario of a completely unsorted array:
[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]
.
It will take 10 loops to sort the array.
function bubbleSort(arr, ct) {
if (!ct) {
ct = 0;
}
let swapped = false;
const swapIndices = (a, b) => {
let temp = arr[a];
arr[a] = arr[b];
arr[b] = temp;
};
for (var i = 1; i < arr.length; i++) {
if (arr[i] < arr[i - 1]) {
swapped = true;
swapIndices(i - 1, i);
}
}
ct++;
if (ct === arr.length + 10) {
return arr;
}
return swapped ? bubbleSort(arr, ct) : { sortedArr: arr, count: ct };
}


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Enum representing the possible types of a sequence.
| Enumerator |
|---|
| Invalid | Represents an invalid type.
|
| String | Represents a String.
|
| Array | Represents an Array.
|
| BitArray | Represents a BitArray. This type is non generic.
|
| ArrayList | Represents an ArrayList. This type is non generic.
|
| Queue | Represents a Queue. This type is non generic.
|
| Stack | Represents a Stack. This type is non generic.
|
| Hashtable | Represents a Hashtable. This type is non generic.
|
| SortedList | Represents a SortedList. This type is non generic.
|
| Dictionary | Represents a Dictionary. This type is non generic.
|
| ListDictionary | Represents a ListDictionary. This type is non generic.
|
| IList | Represents an IList. This interface type is non generic.
|
| ICollection | Represents an ICollection. This interface type is non generic.
|
| IDictionary | Represents an IDictionary. This interface type is non generic.
|
| IEnumerable | Represents an IEnumerable. This interface type is non generic.
|
| Custom | Represents a custom implementation of IEnumerable.
|
| GenericList | Represents a List<T>.
|
| GenericLinkedList | Represents a LinkedList<T>.
|
| GenericCollection | Represents a Collection<T>.
|
| GenericQueue | Represents a Queue<T>.
|
| GenericStack | Represents a Stack<T>.
|
| GenericHashSet | Represents a HashSet<T>.
|
| GenericSortedList | Represents a SortedList<TKey,TValue>.
|
| GenericDictionary | Represents a Dictionary<TKey,TValue>.
|
| GenericSortedDictionary | Represents a SortedDictionary<TKey, TValue>.
|
| GenericBlockingCollection | Represents a BlockingCollection<T>.
|
| GenericConcurrentDictionary | Represents a ConcurrentDictionary<TKey, TValue>.
|
| GenericConcurrentBag | Represents a ConcurrentBag<T>.
|
| GenericIList | Represents an IList<T>.
|
| GenericICollection | Represents an ICollection<T>.
|
| GenericIEnumerable | Represents an IEnumerable<T>.
|
| GenericIDictionary | Represents an IDictionary<TKey, TValue>.
|
| GenericICollectionKeyValue | Represents an <cref>ICollection{KeyValuePair{TKey, TValue}}</cref>
.
|
| GenericIEnumerableKeyValue | Represents an <cref>IEnumerable{KeyValuePair{TKey, TValue}}</cref>
.
|
| GenericCustom | Represents a custom implementation of IEnumerable<T>.
|