React Native DOM Examples
RNTester
Layout Animation
FlatList
Animated ScrollView
Button
Animated Tracking


目前是内心世界被彻底打碎之后，而因为一些契机又重新建立的状态。
主要技能点在传统算法、计算机视觉和Web前后端上，较常见的编程语言以及相关工具都有或多或少的使用经验。
研究方向是计算机视觉领域的迁移学习理论研究。
因为内心的追求十分希望能尽快工作，从而实现经济独立。
At present, it is a state where the inner world has been completely shattered and re-established
because of some opportunities.
My main skill are on traditional algorithms, computer vision, and the Web. More common
programming languages and related tools have experience.
My research direction is the theoretical study of transfer learning in computer vision.
I'm keen to work as soon as possible to achieve economic independence.


Our bakery is fairly new looking to expand across the globe.
We're looking to hire professional chefs for our business to start.
We believe in quality products over quantity.


Money Play. How should Red play 42?
pips Red=136 White=145
(CorrectAnswer= 0/0, ErrorScore= 0)
When in doubt hit. However, in this position there is a lot of doubt.
White’s board is better than Red’s. Red already leads in the race. Playing 24/20, 22/20 protects the lead and guards against anything bad happening to Red.
Hitting gains in the race but that lead may not last that long if Red’s blots are hit and 22/16* gives White a lot of attacking opportunity while disconnecting Red’s rear checkers.
22/16* is so wrong it is a quadruple blunder!!
White’s board is better than Red’s. Red already leads in the race. Playing 24/20, 22/20 protects the lead and guards against anything bad happening to Red.
Hitting gains in the race but that lead may not last that long if Red’s blots are hit and 22/16* gives White a lot of attacking opportunity while disconnecting Red’s rear checkers.
22/16* is so wrong it is a quadruple blunder!!
1. Cubeful 0-ply 24/20 22/20 Eq.: +0.304 0.579 0.154 0.005 - 0.421 0.074 0.001 2. Cubeful 0-ply 22/16* Eq.: +0.074 (-0.231) 0.513 0.171 0.012 - 0.487 0.138 0.005 3. Cubeful 0-ply 8/4 6/4 Eq.: -0.208 (-0.513) 0.441 0.164 0.012 - 0.559 0.203 0.012 4. Cubeful 0-ply 24/22 6/2 Eq.: -0.256 (-0.561) 0.416 0.129 0.006 - 0.584 0.144 0.003 5. Cubeful 0-ply 24/22 13/9 Eq.: -0.296 (-0.600) 0.406 0.121 0.006 - 0.594 0.144 0.007


Judges 11:4
And it came to pass in process of time, that the children of Ammon made war against Israel.


WITNESS LIST
Human Services Committee
May 22, 2012 - 10:00 AM
Interim Charge Two
On:
Anding, Jenna (Tx AgriLife Extension Service)
Arredondo, Melissa (Council Member Stephen Costello & Stephen Williams, Director City of
Houston)
Buuck, Adam (DSHS, Meat Safety Assurance Unit)
Cole, Celia (Texas Food Bank Network)
Cooper, Jason (Brookshire Grocery Company)
DeBerry, Drew (Texas Department of Agriculture)
Dimitry, Lauren (Texans Care for Children & The Partnership for a Healthy Texas)
Everett, Jeremy (Texas Hunger Initiative, Baylor University)
Gonzalez, Hector (City of Laredo & Health Department)
Gonzalez, Mona (River City Youth Foundation)
Green, Kathy (Capital Area Food Bank of Texas)
Hersh, Sharon (Comptroller of Public Accounts, Property Tax Assistance Division)
Jones, Sheila (Incorporating Nutritional Standards into SNAP)
Kimball, Mandi (Children at Risk)
Lewis, Jonathan (Center for Public Policy Priorities)
Loera, Julie (DSHS Food Safety)
Marshall, Susie (Texas Organic Farmers and Gardeners Association (TOFGA))
McGeary, Judith (Farm and Ranch Freedom Alliance)
Miller, Bert (City of Navasota)
Montgomery, Mike (DSHS)
Moorhead, Bee (Texas Impact)
Muth, Stephanie (Texas Health & Human Services Commission)
Rehkopf, Ron (Texas Retailers Assoc)
Rutledge, Ronda (Sustainable Food Center)
Smiley, Andrew (Sustainable Food Center)
Waite, John (Self; Farm Owner, Agua Dulce Farm)
Wengrovian, Emily (Nat'l Conference of State Legislatures)
Wilkinson, Vince (Walgreens Co.)
Registering, but not testifying:
On:
Donovan, Jeanie (Center for Public Policy Priorities)
1


First of all, there is no special format for a Rakefile. A Rakefile contains executable Ruby code. Anything legal in a ruby script is allowed in a Rakefile.
Now that we understand there is no special syntax in a Rakefile, there are some conventions that are used in a Rakefile that are a little unusual in a typical Ruby program. Since a Rakefile is tailored to specifying tasks and actions, the idioms used in a Rakefile are designed to support that.
So, what goes into a Rakefile?
Tasks are the main unit of work in a Rakefile. Tasks have a name (usually given as a symbol or a string), a list of prerequisites (more symbols or strings) and a list of actions (given as a block).
A task is declared by using the task
method.
task
takes a single parameter that is the name of the task.
task :name
Any prerequisites are given as a list (enclosed in square brackets) following the name and an arrow (=>).
task :name => [:prereq1, :prereq2]
NOTE: Although this syntax looks a little funky, it is legal Ruby. We are constructing a hash where the key is :name and the value for that key is the list of prerequisites. It is equivalent to the following ...
hash = Hash.new hash[:name] = [:prereq1, :prereq2] task(hash)
Actions are defined by passing a block to the task
method.
Any Ruby code can be placed in the block. The block may reference the task
object via the block parameter.
task :name => [:prereq1, :prereq2] do |t| # actions (may reference t) end
A task may be specified more than once. Each specification adds its prerequisites and actions to the existing definition. This allows one part of a rakefile to specify the actions and a different rakefile (perhaps separately generated) to specify the dependencies.
For example, the following is equivalent to the single task specification given above.
task :name task :name => [:prereq1] task :name => [:prereq2] task :name do |t| # actions end
Some tasks are designed to create a file from one or more other files. Tasks that generate these files may be skipped if the file already exists. File tasks are used to specify file creation tasks.
File tasks are declared using the file
method (instead of the
task
method). In addition, file tasks are usually named with
a string rather than a symbol.
The following file task creates a executable program (named
prog
) given two object files name a.o
and
b.o
. The tasks for creating a.o
and
b.o
are not shown.
file "prog" => ["a.o", "b.o"] do |t| sh "cc -o #{t.name} #{t.prerequisites.join(' ')}" end
It is common to need to create directories upon demand. The
directory
convenience method is a short-hand for creating a
FileTask that creates the directory. For example, the following
declaration …
directory "testdata/examples/doc"
is equivalent to …
file "testdata" do |t| mkdir t.name end file "testdata/examples" do |t| mkdir t.name end file "testdata/examples/doc" do |t| mkdir t.name end
The directory
method does not accept prerequisites or actions,
but both prerequisites and actions can be added later. For example …
directory "testdata" file "testdata" => ["otherdata"] file "testdata" do cp Dir["standard_data/*.data"], "testdata" end
Rake allows parallel execution of prerequisites using the following syntax:
multitask :copy_files => [:copy_src, :copy_doc, :copy_bin] do puts "All Copies Complete" end
In this example, copy_files
is a normal rake task. Its
actions are executed whenever all of its prerequisites are done. The big
difference is that the prerequisites (copy_src
,
copy_bin
and copy_doc
) are executed in parallel.
Each of the prerequisites are run in their own Ruby thread, possibly
allowing faster overall runtime.
If any of the primary prerequisites of a multitask have common secondary prerequisites, all of the primary/parallel prerequisites will wait until the common prerequisites have been run.
For example, if the copy_xxx
tasks have the following
prerequisites:
task :copy_src => [:prep_for_copy] task :copy_bin => [:prep_for_copy] task :copy_doc => [:prep_for_copy]
Then the prep_for_copy
task is run before starting all the
copies in parallel. Once prep_for_copy
is complete,
copy_src
, copy_bin
, and copy_doc
are
all run in parallel. Note that prep_for_copy
is run only
once, even though it is referenced in multiple threads.
The Rake internal data structures are thread-safe with respect to the multitask parallel execution, so there is no need for the user to do extra synchronization for Rake’s benefit. However, if there are user data structures shared between the parallel prerequisites, the user must do whatever is necessary to prevent race conditions.
Prior to version 0.8.0, rake was only able to handle command line arguments of the form NAME=VALUE that were passed into Rake via the ENV hash. Many folks had asked for some kind of simple command line arguments, perhaps using “–” to separate regular task names from argument values on the command line. The problem is that there was no easy way to associate positional arguments on the command line with different tasks. Suppose both tasks :a and :b expect a command line argument: does the first value go with :a? What if :b is run first? Should it then get the first command line argument.
Rake 0.8.0 solves this problem by explicitly passing values directly to the tasks that need them. For example, if I had a release task that required a version number, I could say:
rake release[0.8.2]
And the string “0.8.2” will be passed to the :release task. Multiple arguments can be passed by separating them with a comma, for example:
rake name[john,doe]
Just a few words of caution. The rake task name and its arguments need to be a single command line argument to rake. This generally means no spaces. If spaces are needed, then the entire rake + argument string should be quoted. Something like this:
rake "name[billy bob, smith]"
(Quoting rules vary between operating systems and shells, so make sure you consult the proper docs for your OS/shell).
Task argument values can also be picked up from the environment. For example, if the “release” task expected a parameter named “release_version”, then either
rake release[0.8.2]
or
RELEASE_VERSION rake release
will work. Environment variable names must either match the task parameter exactly, or match an all-uppercase version of the task parameter.
Parameters are only given to tasks that are setup to expect them. In order to handle named parameters, the task declaration syntax for tasks has been extended slightly.
For example, a task that needs a first name and last name might be declared as:
task :name, [:first_name, :last_name]
The first argument is still the name of the task (:name in this case). The next two arguments are the names of the parameters expected by :name in an array (:first_name and :last_name in the example).
To access the values of the parameters, the block defining the task behaviour can now accept a second parameter:
task :name, [:first_name, :last_name] do |t, args| puts "First name is #{args.first_name}" puts "Last name is #{args.last_name}" end
The first argument of the block “t” is always bound to the current task object. The second argument “args” is an open-struct like object that allows access to the task arguments. Extra command line arguments to a task are ignored. Missing command line arguments are picked up from matching environment variables. If there are no matching environment variables, they are given the nil value.
If you wish to specify default values for the arguments, you can use the with_defaults method in the task body. Here is the above example where we specify default values for the first and last names:
task :name, [:first_name, :last_name] do |t, args| args.with_defaults(:first_name => "John", :last_name => "Dough") puts "First name is #{args.first_name}" puts "Last name is #{args.last_name}" end
Tasks that use parameters have a slightly different format for prerequisites. Use the arrow notation to indicate the prerequisites for tasks with arguments. For example:
task :name, [:first_name, :last_name] => [:pre_name] do |t, args| args.with_defaults(:first_name => "John", :last_name => "Dough") puts "First name is #{args.first_name}" puts "Last name is #{args.last_name}" end
There is an older format for declaring task parameters that omitted the task argument array and used the :needs keyword to introduce the dependencies. That format is still supported for compatibility, but is not recommended for use. The older format may be dropped in future versions of rake.
Sometimes it is useful to manipulate tasks programmatically in a Rakefile.
To find a task object, use the :[]
operator on the
Rake::Task
.
For example, the following Rakefile defines two tasks. The :doit task simply prints a simple “DONE” message. The :dont class will lookup the doit class and remove (clear) all of its prerequisites and actions.
task :doit do puts "DONE" end task :dont do Rake::Task[:doit].clear end
Running this example:
$ rake doit (in /Users/jim/working/git/rake/x) DONE $ rake dont doit (in /Users/jim/working/git/rake/x) $
The ability to programmatically manipulate tasks gives rake very powerful meta-programming capabilities w.r.t. task execution, but should be used with cation.
When a file is named as a prerequisite, but does not have a file task defined for it, Rake will attempt to synthesize a task by looking at a list of rules supplied in the Rakefile.
Suppose we were trying to invoke task “mycode.o”, but no task is defined for it. But the rakefile has a rule that look like this …
rule '.o' => ['.c'] do |t| sh "cc #{t.source} -c -o #{t.name}" end
This rule will synthesize any task that ends in “.o”. It has a prerequisite a source file with an extension of “.c” must exist. If Rake is able to find a file named “mycode.c”, it will automatically create a task that builds “mycode.o” from “mycode.c”.
If the file “mycode.c” does not exist, rake will attempt to recursively synthesize a rule for it.
When a task is synthesized from a rule, the source
attribute
of the task is set to the matching source file. This allows us to write
rules with actions that reference the source file.
Any regular expression may be used as the rule pattern. Additionally, a proc may be used to calculate the name of the source file. This allows for complex patterns and sources.
The following rule is equivalent to the example above.
rule( %r\.o$/ => [ proc {|task_name| task_name.sub(%r\.[^.]+$/, '.c') } ]) do |t| sh "cc #{t.source} -c -o #{t.name}" end
NOTE: Because of a quirk in Ruby syntax, parenthesis are required on rule when the first argument is a regular expression.
The following rule might be used for Java files …
rule '.java' => [ proc { |tn| tn.sub(%r\.class$/, '.java').sub(%r^classes\//, 'src/') } ] do |t| java_compile(t.source, t.name) end
NOTE: java_compile
is a hypothetical method
that invokes the java compiler.
Any ruby file (including other rakefiles) can be included with a standard
Ruby require
command. The rules and declarations in the
required file are just added to the definitions already accumulated.
Because the files are loaded before the rake targets are evaluated, the loaded files must be “ready to go” when the rake command is invoked. This make generated dependency files difficult to use. By the time rake gets around to updating the dependencies file, it is too late to load it.
The Rake.import
command addresses this by specifying a file to
be loaded after the main rakefile is loaded, but before
any targets on the command line are invoked. In addition, if the file name
matches an explicit task, that task is invoked before loading the file.
This allows dependency files to be generated and used in a single rake
command invocation.
NOTE: Starting in Rake version 0.9.0, the top level
import
command is deprecated and we recommend using the scoped
"Rake.import
" command mentioned above. Future versions of
Rake will drop support for the top level import
command.
require 'rake/loaders/makefile' file ".depends.mf" => [SRC_LIST] do |t| sh "makedepend -f- -- #{CFLAGS} -- #{t.prerequisites} > #{t.name}" end Rake.import ".depends.mf"
If “.depends” does not exist, or is out of date w.r.t. the source files, a
new “.depends” file is generated using makedepend
before
loading.
Standard Ruby comments (beginning with “#”) can be used anywhere it is
legal in Ruby source code, including comments for tasks and rules. However,
if you wish a task to be described using the “-T” switch, then you need to
use the desc
command to describe the task.
desc "Create a distribution package" task :package => [ ... ] do ... end
The “-T” switch (or “–tasks” if you like to spell things out) will display
a list of tasks that have a description. If you use desc
to
describe your major tasks, you have a semi-automatic way of generating a
summary of your Rake file.
traken$ rake -T (in /home/.../rake) rake clean # Remove any temporary products. rake clobber # Remove any generated file. rake clobber_rdoc # Remove rdoc products rake contrib_test # Run tests for contrib_test rake default # Default Task rake install # Install the application rake lines # Count lines in the main rake file rake rdoc # Build the rdoc HTML Files rake rerdoc # Force a rebuild of the RDOC files rake test # Run tests rake testall # Run all test targets
Only tasks with descriptions will be displayed with the “-T” switch. Use “-P” (or “–prereqs”) to get a list of all tasks and their prerequisites.
As projects grow (and along with it, the number of tasks), it is common for task names to begin to clash. For example, if you might have a main program and a set of sample programs built by a single Rakefile. By placing the tasks related to the main program in one namespace, and the tasks for building the sample programs in a different namespace, the task names will not will not interfere with each other.
For example:
namespace "main" do task :build do # Build the main program end end namespace "samples" do task :build do # Build the sample programs end end task :build => ["main:build", "samples:build"]
Referencing a task in a separate namespace can be achieved by prefixing the
task name with the namespace and a colon (e.g. “main:build” refers to the
:build task in the main
namespace). Nested namespaces are
supported, so
Note that the name given in the task
command is always the
unadorned task name without any namespace prefixes. The task
command always defines a task in the current namespace.
File task names are not scoped by the namespace command. Since the name of
a file task is the name of an actual file in the file system, it makes
little sense to include file task names in name space. Directory tasks
(created by the directory
command) are a type of file task and
are also not affected by namespaces.
When looking up a task name, rake will start with the current namespace and attempt to find the name there. If it fails to find a name in the current namespace, it will search the parent namespaces until a match is found (or an error occurs if there is no match).
The “rake” namespace is a special implicit namespace that refers to the toplevel names.
If a task name begins with a “^” character, the name resolution will start in the parent namespace. Multiple “^” characters are allowed.
Here is an example file with multiple :run tasks and how various names resolve in different locations.
task :run namespace "one" do task :run namespace "two" do task :run # :run => "one:two:run" # "two:run" => "one:two:run" # "one:two:run" => "one:two:run" # "one:run" => "one:run" # "^run" => "one:run" # "^^run" => "rake:run" (the top level task) # "rake:run" => "rake:run" (the top level task) end # :run => "one:run" # "two:run" => "one:two:run" # "^run" => "rake:run" end # :run => "rake:run" # "one:run" => "one:run" # "one:two:run" => "one:two:run"
FileLists are the way Rake manages lists of files. You can treat a FileList as an array of strings for the most part, but FileLists support some additional operations.
Creating a file list is easy. Just give it the list of file names:
fl = FileList['file1.rb', file2.rb']
Or give it a glob pattern:
fl = FileList['*.rb']
Blocks may be specified with either a do
/end
pair, or with curly braces in Ruby. We strongly recommend using
do
/end
to specify the actions for tasks and
rules. Because the rakefile idiom tends to leave off parentheses on the
task/file/rule methods, unusual ambiguities can arise when using curly
braces.
For example, suppose that the method object_files
returns a
list of object files in a project. Now we use object_files
as
the prerequisites in a rule specified with actions in curly braces.
# DON'T DO THIS! file "prog" => object_files { # Actions are expected here (but it doesn't work)! }
Because curly braces have a higher precedence than
do
/end
, the block is associated with the
object_files
method rather than the file
method.
This is the proper way to specify the task …
# THIS IS FINE file "prog" => object_files do # Actions go here end
README.rdoc -- Main documentation for Rake.


Using the JDBC Driver
This section explains how to install and use the JDBC driver for Apache Drill. To use the JDBC driver, you have to:
- Meet prerequisites.
- Get the Drill JDBC Driver.
- Put the Drill JDBC jar file on the classpath.
- Use a valid URL in the JDBC connection string when you write application code or configure BI tools.
- Use the name of the Drill driver class in application code or in the configuration of client tools.
Most client tools provide a UI where you can enter all of the required connection information, including the driver location, connection URL, and driver class name. For specific examples of client tool connections to Drill through JDBC, see Using JDBC with SQuirreL and Configuring Spotfire Server.
Prerequisites
- JRE 8 or JDK 8
- A Drill installation
- Capability to resolve the actual host name of the Drill node(s) with the IP(s), as described in step 4 of Install the Drill JDBC Driver with JReport.
Getting the Drill JDBC Driver
The Drill JDBC Driver JAR
file must exist on a client machine so you can configure the driver for the application or third-party tool that you intend to use. Obtain the driver in one of the following ways:
-
Copy the
drill-jdbc-all
JAR file from the following Drill installation directory on a node where Drill is installed to a directory on your client machine:
<drill_installation_directory>/jars/jdbc-driver/drill-jdbc-all-<version>.jar
Or
-
Download a TAR file for the latest Drill release to a location on your client machine, and extract the file. On Windows, you may need to use a decompression utility, such as 7-zip. The driver is extracted to the following directory:
<drill-installation_directory>/jars/jdbc-driver/drill-jdbc-all-<version>.jar
Using the JDBC URL for a Random Drillbit Connection
The format of the JDBC URL differs slightly, depending on the way you want to connect to the Drillbit: random, local, or direct. This section covers using the URL for a random or local connection. Using a URL to directly connect to a Drillbit is covered later. If you want ZooKeeper to randomly choose a Drillbit in the cluster, or if you want to connect to the local Drillbit, the format of the driver URL is:
jdbc:drill:zk=<zk name>[:<port>][,<zk name2>[:<port>]...
<directory>/<cluster ID>;[schema=<storage plugin>]
where
jdbc
is the connection type. Required.schema
is the name of a storage plugin configuration to use as the default for queries. For example,schema=hive
. Optional.zk name
specifies one or more ZooKeeper host names, or IP addresses. Uselocal
instead of a host name or IP address to connect to the local Drillbit. Required.port
is the ZooKeeper port number. Port 2181 is the default. On a MapR cluster, the default is 5181. Optional.directory
is the Drill directory in ZooKeeper, which by default is/drill
. Optional.cluster ID
isdrillbits1
by default. If the default has changed, determine the cluster ID and use it. Optional.
Determining the Cluster ID
To determine the cluster ID, check the following file:
<drill-installation>/conf/drill-override.conf
For example:
...
drill.exec: {
cluster-id: "docs41cluster-drillbits",
zk.connect: "centos23.lab:5181,centos28.lab:5181,centos29.lab:5181"
}
...
URL Examples
Single-Node Installation
jdbc:drill:zk=maprdemo:5181
jdbc:drill:zk=centos23.lab:2181/drill/docs41cluster-drillbits
jdbc:drill:zk=<IP_ADDRESS>:2181/drill/drillbits1;schema=hive
Cluster Installation
jdbc:drill:zk=<IP_ADDRESS>:5181,<IP_ADDRESS>:5181,<IP_ADDRESS>:2181/drill/drillbits1;schema=hive
Using the JDBC URL Format for a Direct Drillbit Connection
If you want to connect directly to a Drillbit instead of using ZooKeeper to choose the Drillbit, replace zk=<zk name>
with drillbit=<node name>
as shown in the following URL:
jdbc:drill:drillbit=<node name>[:<port>][,<node name2>[:<port>]...
<directory>/<cluster ID>[schema=<storage plugin>]
where
drillbit=<node name>
specifies one or more host names or IP addresses of cluster nodes running Drill.
###tries
Parameter
As of Drill 1.10, you can include the optional tries=<value>
parameter in the connection string, as shown in the following URL:
jdbc:drill:drillbit=<node name>[:<port>][,<node name2>[:<port>]...
<directory>/<cluster ID>;[schema=<storage plugin>];tries=5
The “tries” option represents the maximum number of unique drillbits to which the client can try to establish a successful connection. The default value is 5. This option improves the fault tolerance in the Drill client when first trying to connect with a drillbit, which will then act as the Foreman (the node that drives the query).
The order in which the client tries to connect to the drillbits may not occur in the order listed in the connection string. If the first try results in an authentication failure, the client does not attempt any additional tries. If the number of unique drillbits listed in the drillbit
parameter is less than the “tries” value, the client tries to connect to each drillbit one time.
For example, if there are three unique drillbits listed in the connection string, and the “tries” value is set to 5, the client can try to connect to each drillbit once, until a successful connection is made, as shown in the image below:
If the client cannot successfully connect to any of the drillbits, Drill returns a failure message.
For definitions of other URL components, see Using the JDBC URL for a Random Drillbit Connection.
Using the Drill Driver Class Name
The class name for the JDBC driver is org.apache.drill.jdbc.Driver. For details, see the Apache Drill JDBC Driver Javadoc.
Starting in Drill 1.16, the DrillStatement interface supports the setMaxRows method. The setMaxRows method sets a limit on the number of rows returned for a result set. The limit set is applied automatically at runtime. By default, there is no limit on the number of rows returned. See Setting an Auto Limit on the Number of Rows Returned for Result Sets.
Starting in 1.13, the DrillStatement interface supports the setQueryTimeout method. The setQueryTimeout method limits the amount of time that the JDBC driver allows a query to run before canceling the query. The setQueryTimeout method sets the number of seconds that the JDBC driver waits for a Statement object to execute before canceling it. By default, there is no limit on the amount of time allowed for a running statement to complete. When you configure a limit, an SQLTimeoutException is thrown if a statement exceeds the limit. A JDBC driver must apply this limit to the execute, executeQuery, and executeUpdate methods.
Example of Connecting to Drill Programmatically
The following sample code shows you how to use the class name in a snippet to connect to Drill using the Drill-Jdbc-all driver:
Class.forName("org.apache.drill.jdbc.Driver");
Connection connection =DriverManager.getConnection("jdbc:drill:zk=
node3.mynode.com:2181/drill/my_cluster_com-drillbits");
Statement st = connection.createStatement();
ResultSet rs = st.executeQuery("SELECT * from cp.`employee`");
while(rs.next()){
System.out.println(rs.getString(1));
}


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.multigraph.DataMeasure org.multigraph.DatetimeMeasure
public class DatetimeMeasure
A DatetimeMeasure stores a length of time, represented in terms of a "unit" and a "measure". The unit is a calendar field value such as YEAR, MONTH, DAY, HOUR, etc, and the measure is a floating point value that represents the number of units.
| Nested Class Summary | |
|---|---|
static class |
DatetimeMeasure.Unit
A DatetimeMeasure.Unit represents a field for calendar computations --- year, month, day, hour, etc. |
| Constructor Summary | |
|---|---|
DatetimeMeasure(double measure,
DatetimeMeasure.Unit unit)
Construct a DatetimeMeasure instance using a given measure and unit. |
|
DatetimeMeasure(java.lang.String string)
Construct a DatetimeMeasure instance by parsing a string. |
| Method Summary | |
|---|---|
DataValue |
firstSpacingLocationAtOrAfter(DataValue value,
DataValue alignment)
Return the location of the first "tick" at or after a given value, in a grid of regularly spaced ticks separated by this DataMeasure, and aligned with a given alignment. |
double |
getMeasure()
Return the measure for this DatetimeMeasure. |
double |
getRealValue()
Convert this DatetimeMeasure to a floating point value on the same scale as a DatetimeValue. |
DatetimeMeasure.Unit |
getUnit()
Return the unit for this DatetimeMeasure. |
java.lang.String |
toString()
Convert this DatetimeMeasure to a string. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public DatetimeMeasure(double measure, DatetimeMeasure.Unit unit)
public DatetimeMeasure(java.lang.String string)
| Method Detail |
|---|
public DatetimeMeasure.Unit getUnit()
public double getMeasure()
public double getRealValue()
getRealValue
in class DataMeasure
public java.lang.String toString()
toString
in class DataMeasure
public DataValue firstSpacingLocationAtOrAfter(DataValue value, DataValue alignment)
DataMeasure
alignment + k * measurewhere
measure
corresponds to the measure represented by this DataMeasure,
and k
is the smallest integer (inluding possibly negative integers) such
that alignment + k * measure >= value
.
firstSpacingLocationAtOrAfter
in class DataMeasure
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


I renamed WSGIRemote to be HTTPEncode. The relation to WSGI was only minimal -- it happens to know about internal requests, and serves up content via a WSGI application. But more generally it's just about serializing and deserializing HTTP requests and responses, not unlike FormEncode.
There's some simple examples; basic client usage looks like:
from httpencode import GET data = GET('http://slashdot.org', output='lxml') all_ids = [el.attrib['id'] for el in data.xpath('//*[@id]')]
I.e., you give the output type (current supported are lxml, etree, cgi.FieldStorage and BeautifulSoup and python), and it does its best to coerce the output from the page to that type. As you can see, several of these convert XML and/or HTML, and the library doesn't assume there is only one suitable Python data type for this. python refers to basic Python data structures -- right now only json produces such structures (which aren't really a class of anything).
There's still a lot I want to do with it -- probably move to httplib2 and maybe like httplib2 use a class that is constructed with any app-specific options (like a default encoding). And I have to implement insecure formats (like Pickle) with the necessary options, and somehow figure out how to keep the function signatures under control.


| GEOS SDK TechDocs
|
| 4.1 System Clock
| 4.3 System Statistics and Utilities
TimerStart(), TimerStop(), TimerSleep(), TimerGetCount()
If your geode needs an action to happen on a timed basis, you will want to use a timer. GEOS lets you set up timers that will call a routine or send a message after a given interval has passed. GEOS offers four types of timers:
-
One-shot
A one-shot timer counts a certain number of "ticks." (There are 60 ticks in a second.) It will call a routine or send a message after the specified number of ticks have been counted.
-
Continual
A continual timer counts a certain number of ticks and then resets and counts again. Each time it reaches the specified number of ticks, it calls a routine or sends a message.
-
Millisecond
A millisecond timer is a one-shot timer that counts in milliseconds rather than ticks and calls a routine when time is up (it does not send a message).
-
Sleep
A sleep timer causes the thread that creates it to sleep for a certain number of ticks. The sleep timer is unlike the others in that it does not send a message or call a routine when time is up; it only awakens the sleeping thread.
-
Real-time
A real-time timer is passed the number of days since 1980, the hour, and the minute of the event. On hardware platforms that support such a thing, GEOS will wake up when the real-time timer goes off. (All other timers are ignored under these conditions.)
All timers except sleep timers are created and started with the routine
TimerStart()
, and continual timers can be destroyed with
TimerStop()
.
TimerStop()
may also be used to prematurely stop a one-shot timer, though if the one-shot sent a message, the message could be in the recipient's queue even after
TimerStop()
was called.
Sleep timers are created and started with
TimerSleep()
, and they do not need to be stopped.
An additional routine,
TimerGetCount()
, returns the current system counter. The system counter contains the number of ticks counted since GEOS was started.
| GEOS SDK TechDocs
|
| 4.1 System Clock
| 4.3 System Statistics and Utilities


WITNESS LIST Nominations Committee March 10, 1997-2:00P Board of Regents of Tx Tech For: John W. Jones (himself), Brady Mike Weiss (himself), Lubbock Nancy E. Jones (herself), Abilene Coastal Coordination Council For: Edward F. Stuart (himself), Friendswood Fred W. Heldenfels, IV (himself), Corpus Christi John Barrett (himself), Edroy Robert Dunkin (himself), San Banito Ex. Dir./Tx. Housing & Community Af For: Larry Paul Manley (himself), Austin Registering, but not testifying: For: Will Ehrle (Tx. Man. House Assoc.), Austin William Lee (Affordable Housing Devp), Austin Tx Board of Criminal Justice For: Alfred C. Moran (himself), Arlington Alfred M. Stringfellow (himself), San Antonio Nancy Patton (herself), Lubbock Patricia A. Day (herself), Dallas Tx Comm. on Licensing & Reg. For: Earl L. Yeakel III (himself), Austin Elliot B. McConnell (himself), Rockport Mickey Christakos (herself), Allen William Fowler (himself), Valley Spring Tx. Housing & Comm. Affairs Board For: Bob Brewer (himself), San Angelo C. Kent Conine (himself), Dallas Mike Jones (himself), Tyler University of Houston Regents For: Charles E. McMahen (himself), Houston Eduardo Aguirre, Jr. (himself), Houston Gary Rosenthal (himself), Houston


Our mission at TSS is to help you reach your athletic goals through
motivation, support, and education. We have years of experience with athletes
of all ages and abilities and we're happy to assist any athlete
committed to pursuing his or her dreams.
We offer one-on-one coaching, evaluation, and instruction; but we also offer
small group practices. Our classes are never large in number. We believe that
a low coach-to-athlete ratio provides the best results in the shortest time.
Come in and introduce yourself to our team of coaches and educators.
Alison Palmer
MA, CSCS, USAT Level II Coach
Exercise Physiologist and Biomechanic Specialist
Owner of Tri and Succeed Sports
Alison brings an extensive background in physiology and biomechanics to TSS
and 18 years of experience coaching in the health and fitness field. She is
a USA Triathlon Level II Certified coach and is certified in strength,
conditioning, and bike fitting. Before founding Tri and Succeed Sports,
Alison built a private training studio for local athletes.
Alison was a lettered volleyball player at the University of Texas
and she picked up the sport of triathlon after graduation. Triathlons have been her
passion ever since. She has competed in many short- to long-distance running,
cycling, and triathlon events including multiple races in IM Texas, IM Brazil,
and IM Chicago.
Alison wants to provide personalized instruction to her athletes. She
believes an educated athlete is an athlete primed for success. Under her
instruction, you will learn not only what to do but why to do it.
Kevin Hughes
BS, USAT Level I
Kinesiologist
Kevin is a student of body mechanics. In addition to a Bachelor's degree
in Kinesiology, Kevin brings certification in Swim Instruction and
coaching. He has coached numerous recreational and elite athletes, including
Sprint and Ironman triathletes.
In addition to coaching individual athletes, Kevin has coached a variety
of teams and groups. Kevin coached Swimming and Cross Country at Austin High
School and Palmer Country Day School. As Head Coach, his swim teams set
school records in 9 out of 11 events, won the Mid-Texas Conference Championship,
and consistently finished in the top 3 at the Small School State meet.
Kevin currently coaches the Masters swim classes at TSS.
Since being talked into his first triathlon at 16, Kevin has always
enjoyed the challenge the sport provides. His motivation comes from the
desire to improve himself, not the desire to beat others. Starting as a
middle of the pack athlete, his initial goal was to work his way through
the distances which culminated with an Ironman finish in 2010. Bill remains
a student of the sport while helping others achieve their fitness
and racing goals.
Tammy Whitmore
USAT Level I
Certified Triathlon Trainer
Certified Nutritionist
Fitness has always been a part of Tammy's life. Whether it was running,
cycling, or strength conditioning she has dedicated herself to fitness
and a healthy lifestyle. Trained as a mechanical designer, Tammy has
designed commercial strength products used in health
clubs around the country. Her interests led her to TSS, first as one of
our athletes and then, 4 years ago, as a member of the staff.
After completing her USAT certification training, Tammy designed the
course of workouts we use with our runners and cyclists. Tammy is also
our nutritionist; she believes that reaching one's fitness goals requires
a holistic approach in which what goes into the body is as important as
what comes out.
Coming from an engineering background, Tammy looks at things from an
analytical point of view. Recently Tammy completed two seminars on
cycling with power meters. Tammy believes in continuing education and
has set her sights on receiving her USAT Level II certification and
USAT youth coaching certification.


Overview
This project implements a face recognition framework for Python (and MATLAB/GNU Octave) with:
- Preprocessing
- Histogram Equalization
- Local Binary Patterns
- TanTriggsPreprocessing [TT2010]
- Feature Extraction
-
- Classifier
-
- Cross Validation
- k-fold Cross Validation
- Leave-One-Out Cross Validation
- Leave-One-Class-Out Cross Validation
References
| [TT2010] | Tan, X., and Triggs, B. “Enhanced local texture feature sets for face recognition under difficult lighting conditions.”. IEEE Transactions on Image Processing 19 (2010), 1635?650. |
| [TP1991] | Turk, M., and Pentland, A. “Eigenfaces for recognition.”. Journal of Cognitive Neuroscience 3 (1991), 71?86. |
| [BHK1997] | Belhumeur, P. N., Hespanha, J., and Kriegman, D. “Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection.”. IEEE Transactions on Pattern Analysis and Machine Intelligence 19, 7 (1997), 711?720. |
| [AHP2004] | Ahonen, T., Hadid, A., and Pietikainen, M. “Face Recognition with Local Binary Patterns.”. Computer Vision - ECCV 2004 (2004), 469?481. |
| [HO2008] | Ojansivu V & Heikkil? J. “Blur insensitive texture classification using local phase quantization.” Proc. Image and Signal Processing (ICISP 2008), 5099:236-243. |
| [Vapnik1998] | Vapnik, V. “Statistical Learning Theory.”. John Wiley and Sons, New York, 1998. |


Ask HAL a predetermined question in hexadecimal.
HAL is on the fritz, so he may tell you more than you want to know.
HAL also has a bad memory, so continued queries must also be in the same "Sentence" of commands.
Input a number or alphanumeric characters A-F with spaces between entries.
Input a number or alphanumeric characters A-F with spaces between entries.


| Null Fraction |
0 |
| Average Width |
4 |
| Distinct Values |
-0.622 |
| Most Common Values |
{94,342,701,834,52,67,132,133,236,244,405,461,482,662,682,860,912,974,11,40,53,58,66,96,99,112,116,131,137,148,225,232,235,251,265,273,283,323,325,326,335,336,348,400,458,460,462,469,501,502,503,506,533,534,541,547,559,564,596,603,606,612,613,646,659,675,679,689,704,714,729,754,762,767,770,774,775,788,805,806,844,880,882,902,948,950,966,995} |
| Most Common Frequencies |
{0.005,0.005,0.005,0.005,0.004,0.004,0.004,0.004,0.004,0.004,0.004,0.004,0.004,0.004,0.004,0.004,0.004,0.004,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003, |
| Histogram Bounds |
{2,8,15,28,37,47,56,68,77,85,97,106,115,122,135,144,160,164,173,186,197,203,215,228,245,255,263,281,291,297,304,312,324,334,349,359,366,373,381,391,403,412,424,431,437,454,467,474,485,492,504,516,526,544,553,562,572,578,583,604,611,624,631,641,649,656,667,677,691,697,713,725,740,747,757,766,773,786,795,804,815,823,835,843,853,862,872,881,896,904,914,925,933,940,952,960,968,977,982,992,1000} |
| Correlation |
-0.0111653 |


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{% extends 'email.server.view.html' %}
{% block content %}
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{Next week|On Saturday}, person(1) is having a party, and he(1) plans to serve hot dogs in buns. {He(1) is also planning to play his(1) randRange(2,30) favorite songs. |}He(1) does not want to have any food left over.
Hot dogs come in packages of A, and buns come in packages of B.
What is the minimum amount of hot dogs and buns person(1) can buy?
LCM
To find the minimum amount of hot dogs and buns person(1) can buy, we need to find the least common multiple of the number of hot dogs per package (A) and the number of buns per package (B).
The least common multiple is the smallest number that is a multiple of A and B.
We know that A x B (or PRODUCT) is a common multiple, but is it the least common multiple?
Write out the multiples of BIGGER until we find a number divisible by SMALLER.
\text{M}
\text{M}
,
So, LCM is the least common multiple of A and B.
The smallest amount of food person(1) can buy is LCM hot dogs and buns, or plural(LCM/A,"package") of hot dogs and plural(LCM/B,"package") of buns.
person(1) is organizing a {baseball|softball} league, and he(1) needs to purchase jerseys and visors for the players. Jerseys come in sets of A, and visors come in sets of B.
person(1) does not want to have any jerseys or visors left over.
What is the minimum number of jerseys and visors person(1) can purchase?
LCM
To find the minimum number of jerseys and visors person(1) can purchase, we need to find the least common multiple of the number of jerseys per set (A) and visors per set (B).
The least common multiple is the smallest number that is a multiple of A and B.
We know that A x B (or PRODUCT) is a common multiple, but is it the least common multiple?
Write out the multiples of BIGGER until we find a number divisible by SMALLER.
\text{M}
\text{M}
,
So, LCM is the least common multiple of A and B.
At a minimum, person(1) needs to purchase LCM jerseys and visors, or plural(LCM/A,"set") of jerseys and plural(LCM/B,"set") of visors.
person(1) and person(2) both teach course(1) at school(1). They give their students the same number of total exam(1) questions each year.
Each exam(1) person(1) gives contains A questions, and each exam(1) person(2) gives has B questions on it. {person(1) has randRange(15,40) students in his(1) class.|person(2) also assigns randRange(3,10) projects per year.}
What is the minimum number of total exam(1) questions person(1) and person(2) each give their students in a year?
LCM
To find the minimum number of questions person(1) and person(2) give, we need to find the least common multiple of the number of questions on person(1)'s tests (A) and person(2)'s tests (B).
The least common multiple is the smallest number that is a multiple of A and B.
We know that A x B (or PRODUCT) is a common multiple, but is it the least common multiple?
Write out the multiples of BIGGER until we find a number divisible by SMALLER.
\text{M}
\text{M}
,
So, LCM is the least common multiple of A and B.
The least number of questions person(1) and person(2) each give is LCM, or plural(LCM/A, exam(1)) in person(1)'s class and plural(LCM/B, exam(1)) in person(2)'s class.
At a track and field competition, there are A sprinters and B long-distance runners{ and randRange(5,100) fans|}. All teams need to have the same number of sprinters and the same number of long-distance runners.
What is the greatest number of teams that can be formed?
GCD
To find the greatest number of teams that can be formed, we need to find the greatest common divisor of the number of sprinters (A) and long-distance runners (B).
The greatest common divisor is the largest number that is a factor (or divisor) of both A and B.
The only factor (divisor) of 1 is 1.
The factors (divisors) of A are A_FACTORS.
The only factor (divisor) of 1 is 1.
The factors (divisors) of B are B_FACTORS.
So, the greatest common divisor of A and B is GCD.
\gcd(A, B) = GCD
The greatest number of teams that can be formed is plural(GCD,"team"), with plural(A/GCD,"sprinter") and plural(B/GCD,"long-distance runner") each.
People who eat at person(1)'s famous dessert restaurant expect consistency, so person(1) must ensure that every plate of cookies is {exactly the same|identical}.
person(1) bakes one batch of A chocolate-chip cookies and one batch of B oatmeal cookies each day; since person(1) bakes cookies fresh daily, he(1) does not want any cookies left over at the end of the night.
What is the greatest number of plates of cookies person(1) can serve on one night?
GCD
To find the greatest number of cookie plates that can be served, we need to find the greatest common divisor of the number of chocolate-chip cookies per batch (A) and oatmeal cookies per batch (B).
The greatest common divisor is the largest number that is a factor (or divisor) of both A and B.
The only factor (divisor) of 1 is 1.
The factors (divisors) of A are A_FACTORS.
The only factor (divisor) of 1 is 1.
The factors (divisors) of B are B_FACTORS.
So, the greatest common divisor of A and B is GCD.
\gcd(A, B) = GCD
The greatest number of cookie plates that can be served is plural(GCD, "plate"), with plural(A/GCD, "chocolate-chip cookie") and plural(B/GCD,"oatmeal cookie") per plate.
person(1) wants to create identical sets of office supplies for all of his(1) coworkers, with at least 1 deskItem(1) and deskItem(2) in each. Each deskItem(1) comes in a package of A, and each deskItem(2) comes in a package of B.
person(1) wants to use one entire package of each item.
What is the greatest number of sets of office supplies person(1) can make?
GCD
To find the greatest number of sets of office supplies that person(1) can make, we need to find the greatest common divisor of A (since each deskItem(1) comes in a package of A) and B (since each deskItem(2) comes in a package of B).
The greatest common divisor is the largest number that is a factor (or divisor) of both A and B.
The only factor (divisor) of 1 is 1.
The factors (divisors) of A are A_FACTORS.
The only factor (divisor) of 1 is 1.
The factors (divisors) of B are B_FACTORS.
So, the greatest common divisor of A and B is GCD.
\gcd(A, B) = GCD
The greatest number of office supply sets that can be created is plural(GCD,"set"), with plural(A/GCD,deskItem(1)) and plural(B/GCD, deskItem(2)) per set.


Area¶
The Area
represents the spatial environment of the survey. It sets the spatial bounds of the survey so it should be the first building block defined. All of the methods used to generate Layer
and Coverage
blocks will require the Area
as an input parameter.
Creating an Area
¶
There are three main ways to create an Area
.
from a
shapely
Polygon
from a shapefile
from a value specifying the resulting area
We will take a look at examples of all three. First, let’s import prospect
as prospect
.
import prospect
From a shapely Polygon
¶
We can create an Area
from any shapely
Polygon
object. Let’s create a fairly simple polygon (a pentagon) and use it to create an Area
.
from shapely.geometry import Polygon
pentagon = Polygon([(0, 0), (2, 0), (2, 1), (1, 2), (0, 1)])
area_shapely = prospect.Area(name='from shapely rectangle', shape=pentagon, vis=1.0)
Area
objects have the following attributes: name
, shape
, vis
, and df
.
area_shapely.name
'from shapely rectangle'
area_shapely.shape
area_shapely.vis
1.0
area_shapely.df
| name | shape | vis | |
|---|---|---|---|
| 0 | from shapely rectangle | POLYGON ((0.00000 0.00000, 2.00000 0.00000, 2.... | 1.0 |
Of these, df
is the most useful because it is a geopandas
GeoDataFrame
containing all of the other values.
geopandas
provides some plotting options for GeoDataFrame
objects, so we can visually examine the resulting Area
in a matplotlib
plot by calling the plot()
method on the df
attribute.
area_shapely.df.plot()
<AxesSubplot:>
From a shapefile¶
Caution
If the shapefile contains more than one polygon, only the first polygon will be used. If you want to create an Area
by combining multiple polygons, you will first have to dissolve them into a single polygon.
area_shp = prospect.Area.from_shapefile(name='from shapefile', path='./data/demo_area.shp', vis=1.0, encoding="utf-8")
area_shp.df.plot();
Note
prospect
has no difficulty dealing with polygons that have interior holes.
From an area value¶
The final way to construct an Area
object is to create a square by specifying a desired area value and an origin. This is intended to be a convenient method for use in building hypothetical surveys. The following creates an Area
with an area of 100.0 sq. units with a lower left corner at (20, 20).
area_value = prospect.Area.from_area_value(
name='from value',
value=100.0,
origin=(20.0, 20.0),
vis=1.0
)
area_value.df.plot()
<AxesSubplot:>
The vis
parameter¶
Besides defining the spatial extent of the survey, the Area
also defines the surface visibility parameter of the simulation. Like all parameters, the surface visibility can be defined with a single probability value or as a scipy.stats
distribution. (In the future, I hope to add additional support for a raster “surface” of visibility.)
If a single value is inappropriate for your case, surface visibility can be modeled in a variety of ways. Both a truncated normal distribution (constrained between 0 and 1) and a Beta distribution could be good options. In the case of the Beta distribution, the following heuristic can be helpful:
If \(n\) artifacts were placed in a subset of that
Area
, how many artifacts, \(v\), would be visible to the surveyor, assuming a perfect ideal observation rate of 1.0 and a perfect surveyor skill of 1.0?
In that case, \(\alpha = v\) and \(\beta = n - v\).
For example, if you placed 10 artifacts in an area and expected 8 to be visible, you could create a Beta distribution like this.
from scipy.stats import beta
vis_dist = beta(a=8, b=2)
And now let’s examine the shape of that distribution.
Attention
seaborn
, used here for plotting, is not a dependency of prospect
so you may not have it installed.
import seaborn as sns
hist_8_2 = sns.distplot(vis_dist.rvs(100000))
hist_8_2.set_xlim(0,1);
/Users/jdeppen/miniconda3/envs/prospect-guide/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
warnings.warn(msg, FutureWarning)


ADSM provides a number of control measures that users can apply alone or in combination to change the progression of disease spread.
Control measures vary in how they are applied:
Some measures are applied across all production types, and are parameterized under Global tabs.
Some measures are applied at a production type level, and are parameterized in Control Protocol, and can be assigned to one or more production types.
Some measures are more specific. Users define Zones, determine the parameters that are specific to each zone and production type in Zone Effects, and then users Assign Effects to associate those parameters to a production type.
Vaccination Triggers allow users to start and stop a vaccination program that was designed in the Control Protocol. Vaccination Rings and Vaccination Priorities further direct the action of the vaccination events.
Different Control Protocols can be created to affect different production types:
Detection – has specific parameters and can also trigger the use of a Zone. Zones have more specific parameters which are set in the Zone section.
Tracing – equivalent to contact tracing:
Testing – requires tracing to be active, and tests only specific traced units
Exams – requires tracing to be active, and exams only specific traced units
Destruction – has the option to preemptively destroy animals in a ring. A ring is the action area defined by the destruction parameter and differs from a zone.
Vaccination- has the option to vaccinate animals in a ring. A ring is the action area defined by the vaccination parameter and differs from a zone.
Cost Accounting – does not change outbreak, but allows users to enter costs that might be associated with a government response. Once costs are set, outputs must be toggled on in the Output Settings.
General overview of the different tabs are as follows:
Zones and Zone Effects describe the parameters related to radial zones and how actions change in those areas.
Vaccination Triggers are new to ADSM. There are 6 ways to start the vaccination program that was designed in the Control Protocol. It is also possible to stop vaccination, and restart using the same triggers at a different vaccination capacity.
Vaccination Rings and Vaccination Priorities are new to ADSM. They allow users more flexibility than simple ring vaccination around a detected unit.
Global Parameters (Vaccination and Destruction) are the parameters that act across all production types.
Output Settings are used to control runs and outputs of ADSM.


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RTMON
Section: Maintenance Commands (8)Index Return to Main Contents
NAME
rtmon - listens to and monitors RTnetlinkSYNOPSIS
rtmon [ options ] file FILE [ all | LISTofOBJECTS ]DESCRIPTION
This manual page documents briefly the rtmon command.rtmon listens on netlink socket and monitors routing table changes.
rtmon can be started before the first network configuration command is issued. For example if you insert:
rtmon file /var/log/rtmon.log
in a startup script, you will be able to view the full history later. Certainly, it is possible to start rtmon at any time. It prepends the history with the state snapshot dumped at the moment of starting.
OPTIONS
rtmon supports the following options:- -Version
- Print version and exit.
- help
- Show summary of options.
- file FILE [ all | LISTofOBJECTS ]
- Log output to FILE. LISTofOBJECTS is the list of object types that we want to monitor. It may contain 'link', 'address', 'route' and 'all'. 'link' specifies the network device, 'address' the protocol (IP or IPv6) address on a device, 'route' the routing table entry and 'all' does what the name says.
- -family [ inet | inet6 | link | help ]
- Specify protocol family. 'inet' is IPv4, 'inet6' is IPv6, 'link' means that no networking protocol is involved and 'help' prints usage information.
- -4
- Use IPv4. Shortcut for -family inet.
- -6
- Use IPv6. Shortcut for -family inet6.
- -0
- Use a special family identifier meaning that no networking protocol is involved. Shortcut for -family link.
USAGE EXAMPLES
- # rtmon file /var/log/rtmon.log
- Log to file /var/log/rtmon.log, then run:
- # ip monitor file /var/log/rtmon.log
- to display logged output from file.
SEE ALSO
ip(8)AUTHOR
rtmon was written by Alexey Kuznetsov<EMAIL_ADDRESS>manual page was written by Michael Prokop<EMAIL_ADDRESS>for the Debian project (but may be used by others).
Index
This document was created by man2html, using the manual pages.
Time: 05:34:29 GMT, December 24, 2015


Content-type: text/html;charset=UTF-8 Set-cookie: session=7777
Languages can have multiple strategies for marking coordination that differ among the various parts of speech. The Matrix supports both lexical and morphological marking of coordination and several different marking patterns, including:
Monosyndeton "A B and C" (last coordinand is marked; also allows "A and B and C")Polysyndeton "A and B and C" (all coordinands but the first are marked)Omnisyndeton "and A and B and C" (all coordinands are marked)Asyndeton "A B C" (no marking; also known as juxtaposition)
You may define any number of coordination strategies below. You may also leave this section blank, in which case the starter grammar produced will not support coordination.
Coordination Strategy {i}: in which nouns NPs VPs sentences are marked in a monosyndeton polysyndeton omnisyndeton asyndeton pattern by a word affix spelled that comes before after the coordinand
You may describe how agreement features work in coordinated structures. You can then link coordination strategies with a defined agreement pattern. You may also leave this section blank and not attach any agreement patterns to a coordination strategy, in which case the top node of coordinated phrases will be underspecified for agreement features.
In a feature resolution pattern, the feature value of a coordinated phrase is derived from the values of both the child nodes.
For example, in many languages, person values follow a hierarchy in which any coordinated phrase with a 1st person conjunct will have 1st person value in the top node, phrases with a 2nd person conjunct (but no 1st person conjunct) will be 2nd person, and phrases with only 3rd person conjuncts will be 3rd person. You may also define feature resolution patterns for features such as gender and number.
You'll have to specify the rules that apply to each feature you wish to model.
(Optionally) give this pattern a name:
This feature resolution pattern uses the following features:
Distinguished Conjunct
In a distinguished conjunct pattern, the feature value of a coordinated phrase is the same as the value of a particular conjunct. Typically, this conjunct is either the closest one to the verb (closest conjunct), or always in a particular position (first or last conjunct).
This agreement pattern uses agreement features from the first last conjunct closest conjunct to the verb


Bosch to stop motor scooter-sharing service Coup in Europe
German engineering firm Bosch is shutting down its motor scooter-sharing service Coup, currently operating in four European cities.
In a statement Monday, Coup said it will end its operations in Berlin and the southwest German city of Tuebingen in mid-December. It said services in Paris and Madrid would also be discontinued shortly.
The company said it was not economically feasible to continue operating over the long term "given a sharing market that is extremely competitive and the service's high costs."
Coup offered about 6,000 battery-powered motor scooters that could be located and rented using a smartphone app.
The company said it would help its 120 employees find new jobs or offer them severance packages.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/update-mathlib.2C.20and.20branches.html ---
Am I correct in understanding that we can't use update-mathlib
in a project the depends on a branch of mathlib
, because travis doesn't post archived olean
s for branches?
If that's the case, I would really like to fix this.
In particular, I want to be able to try something out in the lean-perfectoid-spaces
repository, based on the presheaf
branch of mathlib. This branch makes lots of edits to existing files in mathlib, so there's no option to just copy and paste the relevant files into lean-perfectoid-spaces
. It seems the only options are: everything waits until the presheaf
PR is merged, or give up update-mathlib
(and thus not be able to convince Kevin to try things out :-).
You're right, update-mathlib
is only useful with master
. That's out of concern for disk space on GitHub
Okay! Now I remember we discussed this before, and the proposed solution was that I provide the disk space.
If we were going to do this, my preferred method would be that I pull olean archives, rather than having travis directly push them to me.
There could still be a webhook (that's a fancy name for making an http request, right? :-) for travis to initiate the pull, I guess.
I'm not sure about what you're thinking of. Why would Travis need to pull an archive?
Sorry, I was thinking the following:
1) When travis finished building a non-master
branch, it pushes the olean cache to somewhere on Github
2) It then calls some webhook running on my server etc https://tqft.net/update-olean-caches
3) My server then grabs the new archive file full of olean files
4) When people run update-mathlib
or cache-olean --fetch
on non-master branches, it checks my server
5) We periodically clean out the non-master branches stored on Github
Alternatively, we just do 1) and 5), and see if there's enough space on Github. :-)
I'm aware this may be getting too complicated.
It may be easier if we get Travis to push the archives to your server directly in the end. But as an approximation, we can get started with just pushing a nightly build for every commit
The thing I was trying to avoid was having to give travis the ability to hack my server. :-)
Other alternatives might be to have travis push to amazon S3. (I could certainly pay this this.)
Maybe we can pool some money for that
I already have a process set up to pay for storage of various research data on amazon. It's trivial to include something like this.
Cool! Already, the Travis build has github credentials encoded into it but I secured them.
oh, okay
I'm actually pretty relaxed about my server. :-) If you know how to give credentials to travis in a reasonable way, I can just give you ssh keys or something.
But amazon S3 sounds like a good idea. If you give me access, I can get started with that
Ok! I will remember how to add authorisation to a bucket.
PS I don't mind building mathlib; but I wouldn't like to be going around saying "the perfectoid project builds, except we need a branch of mathlib". These mathlib maintainers sometimes make you change your PR's, and then you have to fix a bunch of stuff :P
I'm not sure this is entirely fair -- it's not like a branch of mathlib is inherently more dangerous than code outside of mathlib entirely! :-) In any case, these PRs seem to be working through the system, and hopefully after those two I can avoid needing to change mathlib files.
I guess what I mean is "well, we never did this before, it looks new and scary to me"
It's fear of branches.
I'll just experiment in a branch for a moment.

@Simon Hudon, I've been trying to understand the amazon docs, and things seem to have got more complicated since I last used it... I'm struggling to work out how to just hand you a token that gives read+write access to a specific bucket.
I've certainly done this in the past, but long in the past.
I'm not clear on how it works. I'll have a look when I wake up
Here is something that I found in the travis documentation:
https://docs.travis-ci.com/user/deployment/codedeploy/#s3-deployment-or-github-deployment
There's an option for automatically deploying to s3
and this might help too: https://aws.amazon.com/blogs/security/wheres-my-secret-access-key/
@Scott Morrison Once you find your secret access key, we'll set it up in a travis encrypted environment variable. If you want to send it to me encrypted, I can give you my PGP key
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Home
About
Sales
contact us
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Add a New Site
City
Mininum Customers
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Average Sales
Add Store


{% extends "blocks/main-card.html" %} {% load static otree %} {% block page_title %}{{ page_title }}{% endblock %} {% block page_content %}
Many communities in the US are trying to use less energy. In this experiment, you will play an energy conservation game with other players. Before you play the game you will review the following:
Please read the following rules carefully, because they will influence how large a payment you earn at the end.
{% endblock %}


Why
Big student community
The Csyllabus community is rapidly growing! Students are coming at Csyllabus to search and explore courses they want to enrol. Don't miss out! Have your Faculty syllabus listed in our app now!
Why
The Csyllabus community is rapidly growing! Students are coming at Csyllabus to search and explore courses they want to enrol. Don't miss out! Have your Faculty syllabus listed in our app now!
HOW
Follow our instructions on how to connect with us and have students all over the world exploring your faculty courses. To connect with our application and give us data, you need to be authorized. Get in touch with us!
CONNECT WITH US
Use our plugins
Manage courses
Create new courses
CONNECT
If you are faculty admin and want to connect your syllabus data with us, please reach out to us at<EMAIL_ADDRESS>to get access.


c
What I am all about
Full stack developer and competitive coder (in Java, C++ ) with Skilled in HTML-CSS, Bootstrap, Java, C++, JavaScript, jQuery , and SQL. Also fluent in English & Hindi (Written and Spoken). Currently pursuing Bachelor of Technology (B.Tech) focused in Computer Science from Harcourt Butler Technical University (3rd year).
A decent academic record in school and college. Have made various projects related to web development and have participated in several Competitive coding competitions. I have also a Codechef Certificate.Writing a book and working on a blog as well. I Would like to work in AI, Machine Learning and Solar energy in the future.
Passed Intermediate from S.V.M Inter College,Chirgaon Jhansi with a percentage of 84% and High school from the same with an aggregate of 70%.
Pursuing B.Tech from Harcourt Butler Technical University (HBTU), Kanpur in Computer Science (2016-2019). Currently in 3rd year of graduation.
Let's talk about this!
Some off topic talk...
- Sherlock Holmes
- Have written 10+ articles
- Wrote several articles on my Wordpress blog on Harry Potter, link: howpotter
- Game Of Thrones
- Residenty evil
- Inception
- Avengers & Iron Man
- Mission Impossible
- Grand Theft Auto (GTA)
- Need For Speed (NFS)
- Call Of Duty (COD)
- Cricket
- Singers: Alan Walker, Arijit Singh & Shirley Setia


Generally, a Query Operation is more efficient than a Scan operation.
A Scan operation always scans the entire table, then filters out values to provide the desired result, essentially adding the extra step of removing data from the result set. Avoid using a Scan operation on a large table with a filter that removes many results, if possible. Also, as a table grows, the Scan operation slows. The Scan operation examines every item for the requested values, and can use up the provisioned throughput for a large table in a single operation.
For quicker response times, design your tables in a way that can use the Query, Get or BatchGetItem APIs instead. Alternatively, design your application to use Scan operations in a way that minimizes the impact on your tables request rate.
A Query operation finds the items in a table using only primary key attribute values. You must provide a partition key attribute name and a distinct value to search for.
A Scan operation examines every item in the table. By default, a Scan returns all of the data attributes for every item; however, you can use the ProjectionExpression parameter so that the Scan only returns some of the attributes, rather than all of them.
Query results are always sorted by the sort key in ascending order. Set ScanIndexForward parameter to false to reverse it.
Try use a Query operation than a scan operation as it is more efficient.


Junior year is a very crucial year to most when it comes to high school. This is because 11th grade is the year where you begin to look into what colleges you want to attend, and begin writing your entrance essays during the summer. It is good to get a head start and begin to build a college list as well as look into what the qualifications to attend the colleges of your choice. This process can be very tedious; however, it will benefit you in the future.
Attend College Fairs
Visit Colleges on Tour
Prepare your College List
Apply for FAFSA/Check Date
Check College Application Dates
Download College Applications/Start Common & Coalition
Register for the PSAT
Make an SAT & ACT Schedule
Register at NCAA Eligibility Center (Athletes)
Fine Tune Extracirriculars
Find a Full-Time or Part-Time Job
Participate in Summer Camp or Summer Immersion Program


Interface RecognitionAudioOrBuilder (2.0.0)
public interface RecognitionAudioOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getAudioSourceCase()
public abstract RecognitionAudio.AudioSourceCase getAudioSourceCase()
| Type | Description |
| RecognitionAudio.AudioSourceCase |
getContent()
public abstract ByteString getContent()
The audio data bytes encoded as specified in
RecognitionConfig
. Note: as with all bytes fields, protobuffers use a
pure binary representation, whereas JSON representations use base64.
bytes content = 1;
| Type | Description |
| ByteString |
getUri()
public abstract String getUri()
URI that points to a file that contains audio data bytes as specified in
RecognitionConfig
. Currently, only Google Cloud Storage URIs are
supported, which must be specified in the following format:
gs://bucket_name/object_name
(other URI formats return
google.rpc.Code.INVALID_ARGUMENT). For more information, see
Request URIs.
string uri = 2;
| Type | Description |
| String |
getUriBytes()
public abstract ByteString getUriBytes()
URI that points to a file that contains audio data bytes as specified in
RecognitionConfig
. Currently, only Google Cloud Storage URIs are
supported, which must be specified in the following format:
gs://bucket_name/object_name
(other URI formats return
google.rpc.Code.INVALID_ARGUMENT). For more information, see
Request URIs.
string uri = 2;
| Type | Description |
| ByteString |


---
layout: default
---
{% comment %}
Solid State by Pixelarity
pixelarity.com |<EMAIL_ADDRESS>License: pixelarity.com/license
Name:
Blog post layout
Description:
A layout for individual blog posts.
Example:
---
layout: post
---
{% endcomment %}
{% if page.image %}
{% endif %}


Domain entrypoints
Configure your security domain's path.
In context-path mode, your security domain will be accessible through the Gateway using the entrypoint url defined in global settings and the context path of you choice.
The current access url is :
{{ entrypoint.url}}{{domain.path}}
Notice that, in context-path mode, you can't use '/'
path. However, it is possible to use '/'
if you Switch to {{ switchModeLabel }} mode
Warning: changing the security domain's path involve to change endpoint URLs in your current applications.
Configure your security domain's vhosts and paths.
In virtual host mode, your security domain will be accessible through the Gateway using the host and path of your choice.
You can define several virtual hosts depending on your needs but remember that you can't define a path which could overlap another security domain path.
Notice that you can't specify protocol, only the host (and optional port) can be defined. Protocol (http, https) is automatically determined from the entrypoint url defined in global settings.
Warning: changing the security domain's virtual host involve to change endpoint URLs in your current applications.


{# Raw HTML widget. This is carefully constructed and should not be altered without #} {# consultation. Check out the hack in decoratePageContent in the pages module that #} {# pays close attention to all of these comments. -Tom #} {# Do not remove this div, needed for parsing #}
To see your raw HTML code in action you must save your work and refresh the page. If the page becomes unreadable, add ?safe_mode to the end of the URL and load the page again.
{% if (not options.editView) %} {# Hides its content #}


About TED
TED is a nonpartisan nonprofit devoted to spreading ideas, usually in the form of short, powerful talks.
TED began in 1984 as a conference where Technology, Entertainment and Design converged, and today covers
almost all topics — from science to business to global issues — in more than 110 languages. Meanwhile,
independently run TEDx events help share ideas in communities around the world. Ted Talks:
https://www.ted.com
© 2018 Copyright Ted Talk Scraper
Janet Cushing


-
mods
Library of Congress Outline Q: but which version, 3.3?
-
titleInfo
-
@usage
-
@supplied must be
yes
or no
-
@type
abbreviated
alternative
descriptive
transcribed
translated
-
title required in every collection
- often scripted, combination of other metadata fields (see example script from Syllabus Collection)
- only consistently used field under titleInfo
-
subTitle
-
name
- @authority see MODS values
- @usage
-
@type
personal
corporate
conference
-
@authority
datatel
millennium
lc
ulan
local
- namePart takes two different forms
Surname, Givenname
for students
Givenname Surname
for faculty
- namePartDate adhere to MODS
- role used in Archives to denote a photographer, etc. linked to AAT
- subNameWrapper all CCA-specific fields, needed for EQUELLA repeaters
-
ccaAffiliated
must be
Yes
or No
, sentence case
- is student ID number in the CORE Waiver Portfolio Review collection
-
affiliation related organization, technically should be a level higher at mods/name/namePart
- should be CCA ID number in student work collections?
- in Libraries collection, it's the acronym of the college at the time
- in Communications' Images, it's non-CCA organizations affiliated with the photographer
- in Fashion Design, it's "Fashion partner" under the "Special projects" submission type
-
constituent values are
Alumnus
Faculty
Graduate student
Staff
Administrator
Undergraduate student
- NOT "Student" which is actually used in some places, should be converted
-
major
always from the Majors taxonomy
-
department comes from CCA Departments & Programs taxonomy
-
gradDate
always from the Semesters taxonomy
- description
free text, technically should be a level higher at mods/namePart
-
username = CCA username
-
staging previously used in CORE Waiver Portfolio, used in License Agreement to store phone
-
email
-
phone
-
typeOfResourceWrapper
-
genreWrapper
-
genre department-defined list in most student work collections, free text in Libraries (but we use 3 different authorities)
-
@type only value used is
style
in Libraries collection
-
@authority for Libraries, values are
-
originInfo
- place MODS has children which we don't use. We use for city of publication in Libraries.
- publisher
- edition
-
origininfo
-
dateType made up for Libraries collection, values in MODS case:
-
dateCreatedWrapper
-
dateCreated in ISO-8601,
YYYY-MM-DD
format
-
@qualifier either
approximate
or questionable
- @keyDate =
yes
, only one keyDate per record
- @encoding =
w3cdtf
(see standard)
-
pointStart this & below are for date ranges, not used in dateCaptured
-
pointEnd
-
staging used for when dates need to be processed via script before being stored, e.g. storing a true
YYYY
year value
-
dateCaptured
YYYY-MM-DD
again
- >
@encoding not used
- >
@qualifier
either
approximate
or questionable
-
dateOtherWrapper see dateCreated sub-elements
-
semesterCreated linked to Semesters taxonomy, great overlap with local/courseInfo/semester
-
language =
eng
(set in Expert Scripting)
-
physicalDescription MODS only has single
<form>
child
-
formBroad uses AAT vocab, used across the board
-
formSpecific uses AAT vocab, only in Libraries
-
internetMediaType MIME types, only used in Libraries, can calculate by script
-
extent see Extent Terminology document, parallels MARC 300 in RDA
-
extentType unused
-
digitalOrigin MODS values are
born digital
reformatted digital
digitized microfilm
digitized other analog
-
physicalDescriptionNote used in Libraries, was an early attempt to work with repeaters (should be a noteWrapper under physDesc above)
-
note free-text
-
@type see MODS values (second table)
-
abstract mapped as the description for search results
-
tableOfContents used only in Libraries collection
-
noteWrapper
-
note
-
@type see MODS values (first table)
-
subject
-
subjectType our addition
-
topic
-
topicCONA a Getty authority, used in Libraries only
-
geographic
-
temporal used in Libraries only, starts with time periods related to college location/name, transitions into decades later
-
@authority not recorded, implicitly
local
-
name we don't use MODS sub-elements, populated via "LIBRARIES - Subject Name" taxonomy
-
@authority
-
@type
personal
conference
corporate
-
classification not used TODO: confirm
-
artstorClassification list box in Libraries collection
- @authority =
artstor
, set in expert scripting
-
photoClassification list box in CCA\C Archives subset of Libraries
-
relatedItem under MODS, any MODS element can be a sub-element of relatedItem. Used in Librares for major collection series (Hamaguchi, CCA/C Archives).
-
relateditem can link to any item
-
@type
preceding
succeeding
original
constituent
series
otherVersion
otherFormat
isReferencedBy
- title same as relatedItem above
- location
- note
-
originInfo
-
dateType
-
dateCreatedWrapper
-
dateCreated
- pointStart
- pointEnd
-
dateOtherWrapper
-
dateOther
- @type
- @encoding
- @qualifier
- pointStart
- pointEnd
-
identifier not used (TODO: confirm)
-
location
-
physicalLocation used only in Libraries, values are
Oakland Campus
, San Francisco Campus
, etc.
-
url
-
copyInformation MODS parent <holdingSimple> node removed
-
accessCondition =
For rights relating to this resource, please contact {{insert CCA department}}.
-
@type =
use and reproduction
-
part file UUIDs
-
@type
- detail number & title should be children of detail
- number should be default target for attachments
- numberB extra "number" elements are for circumstances (e.g. repeaters with multiple attachments) where the single element is too limiting
- numberC
- numberD
- title
- extent we don't use MODS child elements, see Extent Terminology & MARC 347 for guidance
- date
- text
-
wrapperOther TODO: is this used? These look like local fields.
- tags
- flaggedFor
- assignNumber
- exerciseNumber
- format
- formatSpecific
-
extension not used, for ad hoc MODS extensions (we use local)
-
recordInfo
-
recordContentSource =
cc9
-
recordCreationDate we don't use, but data is present in system-generated item data
-
recordChangeDate don't use, but present in system-generated item data
-
recordIdentifier filled in with item's UUID in Expert Scripting (see example)
-
recordOrigin not used
-
languageOfCataloging
-
descriptionStandard not used but should,
rda
is closest
-
local
-
department
friendly department name, e.g.
Animation
-
division CCA divisions are:
Architecture Division
Design Division
Fine Arts Division
First Year Program
Humanities & Sciences Division
Interdisciplinary Studies
- academicLevel
-
courseInfo
-
department
five-letter all-caps department code, e.g.
PHOTO
-
semester
season + year, e.g.
Fall 2014
-
course
course title, e.g.
Material Assemblage
-
faculty
comma-separated list of faculty, e.g.
Jane Janane, Bob Bobob
-
facultyID
comma-separated list of faculty usernames, e.g.
jjanane, bbobob
note: not all programs record this, comes from course list taxos
-
section
specific section number e.g.
MARCH-555-01
-
firstYearDimension only used in First Year Program collections, values are two-character abbreviations:
-
courseinfo
full path from a course list taxonomy e.g.
Spring 2015\MARCH\Material Assemblage\Jane Janane\MARCH-555-01
these are the pieces that, split out, populate its siblings
-
courseCategory
various special groups of course like
Media History
, ENGAGE
, FYP dimensions, various interdisciplinary categories
-
specialPrograms
ecoTAP
seems to be the only value ever used, in Syllabus Collection
-
courseName
dept & course codes e.g.
MARCH-555
-
courseLevel
e.g. 100, 200, but I don't know where this is used and it should be entirely derivative of the courseName above
-
XList
Currently, section code of cross-listed course. Previously, an ID number of cross-listed course.
-
secondXList
ID number of another cross-listed course. Not used (hopefully)
-
courseWorkWrapper
- courseWorkType
values are
Assignment
Course work
Graduate First Year Review
Junior Review
Program Portfolio document
Senior thesis project
Senior packet
Special projects
Thesis
(note: only for grad programs, see "Senior packet" above for undergrads)
Workshop / Events
- courseWorkTypeSpecific
- imageType
- workType
-
groupProject
values are
group project
individual project
- groupProjectNumber
- groupConstituents
- groupMembers
- groupContribution
- material
- materials_freetext
- process
- assignmentTitle
- assignmentDescription
- assignmentDue
- assignmentDue_freetext
- assignmentLength
- assignmentLength_freetext
- assignmentReferences
- file
- fileA
- fileB
- projectTitle
- exerciseTitle
- submissionType
-
accreditation
often used to store a human-readable phrase composed of the local/assessmentWrapper fields e.g. "Fall 2014 External Review Photography"
- rating
-
juniorReviewWrapper
-
assessmentWrapper
data pulled from Assessment & Accreditation taxonomy
-
useInReview values are
-
type
e.g.
External Review
-
program
friendly name, e.g.
Photography
-
date
generally a semester, e.g.
Fall 2014
-
staging
for storing the full taxonomy term, e.g.
Fall 2014\External Review\Photography
-
seniorPacketWrapper
- title
- file
- hiResFile
- lowResFile
- fileTypeA
- fileTypeB
- fileTypeC
- semester
- date
- formatBroad
- formatSpecific
- formatOther
- heightINCH
- widthINCH
- depthINCH
- duration
- technique
- techniqueOther
- notes
- tags
- phase
- artistName
- viewLevel
-
viewLevel see how values map to user roles, values are
for internal X program use only
(where X = CCA program), typically the default
for internal X division use only
(where X = CCA division)
shared with other academic programs for assessment & accreditation purposes only
shared with college depts. and academic programs
shared with college depts., academic programs, and students
public
- exhibitWrapper for Senior Shows, Events, etc.
- type
- gallery uses CCA Galleries taxonomy but with optional "other" choice
- date often a date range that show ran
- title
- note often used as a gallery=other storage space
- showcardFile attachment
- installationShotFile attachment
- sponsor
- semester uses Semesters taxonomy
- tags
Legend
General Rules
- we always use "text" as the data Type in the Metadata Schema
- if something has "wrapper" in the name, it's there to work with EQUELLA's repeaters and should never house a value (be the target of a non-repeater Wizard control)
- "staging" fields are for housing taxonomy data which is later split out into other elements, never indexed for Power Search or searchable by free text
- camelCase elements generally adhere to MODS, all-lowercase do not


When you start Java VisualVM, the Applications window is visible in the left side of the Java VisualVM window. The Applications window uses a tree structure to enable you to quickly view the applications that are running on local and connected remote JVM software instances. The Applications window also displays core dumps and application snapshots.
The Application window has nodes and sub-nodes that you can expand to view running applications and saved files. For most nodes in the Applications window, you can view additional information and perform actions by right-clicking a node and choosing an item from the popup menu. The actions available in the popup menu vary according to the node.
The Applications window has the following primary nodes:
The Local node displays the name and process IDs (PID) of Java applications that are running on the same system as Java VisualVM. When you launch Java VisualVM and expand the Local node, Java VisualVM automatically displays the currently running Java applications. Java VisualVM is always listed as one of the local applications. When a new local Java application is launched, a node for that application appears under the Local node. The application node disappears when the application terminates.
If you use Java VisualVM to take thread dumps, heap dumps or profiling snapshots of an application, they are displayed as sub-nodes below the node for that application. You can right-click a dump or snapshot sub-node to save it to your local system. You can collect and archive all the information collected about an application and save it as an application snapshot.
For more information about how to view data about local applications, see the following pages:
When Java VisualVM connects to a remote host, the remote host is listed as a node under the Remote node. When connected to a remote host, you can expand the node for the remote host to see the Java applications that are running on that host. When a Java application is launched on the remote host, a node for that application is displayed under the remote host node.
You need to explicitly add the location of remote hosts if you want Java VisualVM to be able to connect to the host. Once a remote host is added, Java VisualVM persists the address of the remote host and will make a connection to the host each time Java VisualVM is started. If you do not want Java VisualVM to connect to the host on startup, you should right-click the remote host node and choose Remove before quitting Java VisualVM.
Note: To retrieve and display information on applications running on the remote host, the jstatd utility needs to be running on the remote host. To start the utility, type jstatd on the command line. The jstatd utility is included as part of the Java Development Kit (JDK) version 6.
For more information about how to view data about remote applications, see the following pages:
The VM Coredumps node lists open core dump binary files when you open the files in Java VisualVM. A core dump is a binary file that contains information about the runtime status of the machine at the time the core dump was taken. If you have a core dump you can then extract an overview of the system properties, a heap dump and a thread dump.
Note: The Core Dump node is only visible if Java VisualVM is running on Solaris or Linux.
For more information, see the following document:
The Snapshots node lists any application snapshots that are saved in the Java VisualVM userdir until they are explicitly deleted. An application snapshot captures the collected heap dumps, thread dumps and profiler snapshots of an application at the moment the snapshot is taken. You can expand the application snapshot node to see the data collected in the snapshot.
You can right-click an application snapshot node or any of the items listed under the node to open a popup menu enabling you to open, save, delete and rename the selected item.
For more information about taking and saving snapshots, see the following document:


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Leetcode 0237. Delete Node in a Linked List
https://leetcode.com/problems/delete-node-in-a-linked-list
If you never saw this problem it can seems quite difficult, how you can delete node, if you are given only access to that node? You need to find previous node first? No, the trick is a modification of values in our list! If you have this type of quesitions on real interview, it is the first question you must ask your interviewer. If we can modify data, solution becomes very easy, only two lines: change value of node with value of next node and then change next element for next of next element.
Complexity. Both time and space comlexity is O(1)
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class Solution:
def deleteNode(self, node):
node.val = node.next.val
node.next = node.next.next
If you like the solution, you can upvote it on leetcode discussion section: Problem 0237