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--- title: Other changes to extensions version: "5.6" tags: - "5.6" - extensions ---
A number of constants marked obsolete in the cURL library have now been removed:
CURLOPT_CLOSEPOLICY
CURLCLOSEPOLICY_CALLBACK
CURLCLOSEPOLICY_LEAST_RECENTLY_USED
CURLCLOSEPOLICY_LEAST_TRAFFIC
CURLCLOSEPOLICY_OLDEST
CURLCLOSEPOLICY_SLOWEST
oci_execute($s, OCI_NO_AUTO_COMMIT)
for a
SELECT no longer unnecessarily initiates an internal ROLLBACK during
connection close.
--enable-dtrace
configure option.
A --with-libzip
configure option has been added to use
a system libzip installation. libzip version 0.11 is required, with 0.11.2
or later recommended.
A new mysqli.rollback_on_cached_plink option was added, which controls the rollback behavior of persistent connections.


Description
Pakit is a small python based package manager that builds programs from source.
Pakit provides:
- A package manager interface to install, remove & update programs.
- A simple Recipe specification to build programs from source code.
- Premade and tested recipes maintained by pakit.
When you install a program Pakit will...
- download the source into a silo in pakit.paths.source and build it.
- install the program into a silo under pakit.paths.prefix.
- link the silo to the pakit.paths.link directory.
Want a longer explanation? See the Overview section.
Demo
The following demonstration covers most of the basic functions.
Try the demo yourself after installing pakit.
Install Pakit
To use pakit:
- Ensure you have a build environment for compiling the programs.
- Fetch pakit via pip or github.
- Modify your $PATH.
Build Environment
At this point pakit has two limitations to be aware of:
- Relies on user's build environment.
- Pakit recipes can only depend on things pakit can build, currently limited pool. User needs to install any dependencies pakit can't build.
To use pakit, I suggest you have...
- c++ build environment
- git
- anything a recipe depends on that pakit can't build
For Ubuntu install these packages:
sudo apt-get install build-essential automake autoconf python-pip git liblzma-dev libevent-dev ncurses-dev
Github
Fetch the latest from the source. Works unless the build badge says failing.
git clone https://github.com/starcraftman/pakit.git export PATH=$(pwd)/pakit/bin:$PATH python pakit/setup.py deps release
pip
Install the latest stable pip release. It might be old but working.
sudo -H pip install pakit
$PATH
By default, pakit will install programs under pakit.paths.prefix and link everything to pakit.paths.link. To use the built programs, pakit.paths.link/bin must be on your $PATH. So for example, with the default value of pakit.paths.link, you would need to:
export PATH=/tmp/pakit/links/bin:$PATH
The above exports will only last for the terminal session. To make them permanent for bash, edit $HOME/.bashrc or $HOME/.bash_aliases.
More Information
From inside the pakit source folder:
- Help: pakit --help
- Consult man: man pakit
- Read pydocs: pydoc pakit or pydoc pakit.shell and so on...
- Install all development packages: python setup.py deps
- Run the test suite: tox
- See Waffle for things I'm working on.
- Read DESIGN.md for details on design. A bit out of date.
Contributors
- @starcraftman/Jeremy Pallats
Overview
Basically I want to make a universal package manager on python. Runs everywhere, builds anything and handles dependencies. A bit like a meta build tool tying arbitrary recipes together. At the end of the day, will probably resemble Homebrew at least a little.
Importantly, the recipes should be configurable via a single YAML file that users can modify without changing the recipes. Say you want to pass particular flags to the vim or ag build, you'd just put them in an entry in the config.
Expected Feature Overview:
- Python only, with minimal dependencies.
- Package manager interface, install remove and update recipes.
- 100% tested, framework & supported recipes.
- Should work on any POSIX system, emphasis on Linux.
- Simple recipe specification.
- Configuration via a single YAML file.
- Available via pip.
- Traceability via logs for every command.
- Premade & tested recipes available for use.
See DESIGN.md for more details.


We will denote the amount of energy the Earth radiates by \(J_E \text{.}\) For the purpose of our models we will take the Earth to be a blackbody. By the Stefan-Boltzmann law, \(J_E \propto T_E^4 \) or \(J_E =\sigma T_E^4 j/s m^2\) where \(T_E \) is the temperature of Earth's surface.
in-context


Verifying your identity
To apply for an older person's bus pass, we'll need to verify your identity.
You'll receive your pass faster if you verify your identity with GOV.UK Verify.
To use GOV.UK Verify you'll need a UK passport, photocard driving licence or bank statement.
Other ways to apply
You can use this service without using GOV.UK Verify.
Your pass will take longer to arrive as additional checking will be required.
Continue without verifying


NoPixel Chop List Assistant
Enter in your chop list provided below. Priority targets will be highlighted in yellow.
Search


You must declare the 'downloads' permission in the extension manifest to use this API.
{ 'name': 'My extension', ... 'permissions': ['downloads'], ... }
You can find simple examples of using the downloads module in the examples/api/downloads directory. For other examples and for help in viewing the source code, see Samples.


This is a web site , it has programed in
JavaScript for the logic and for the design it was made
with html,css,bootstrap
This game was made with the porpuse of learn more
about programming languages where every player can enjoy
several leves in different difficults for the develop of their agility in the keyboard and their minds
If you want to see more projects , you can
visit my repositories in github and dowloads them
link ----> https://github.com/keie?tab=repositories


This module will go over the duties of a district admin, show where to find additional information, help you get started setting up your district, and show the different screens available to a district administrator.
A district admin or LSA is in charge of setting up a district for use in SIMS.
Responsibilities:It is easiest to setup users with access to all students in the district. You may wish to start with a small group of users, schools, and students using this level of access control.
After that, you can assign users to all students in a particular school.
After that, you can designate a school admin and have them setup groups and assign users and students to those groups. (See the school admin module for more information.)
Steps 10-12 are performed by the school administrator. See the school admin documentation for more information. You may be interested in the csv files referenced here.
This section demonstates theI still need to fill in the content here.
Restrict tiers - Interventions are grouped into tiers (usually by intensity.) If this box is checked, then only the first tier of interventions will be available for a student. Higher tiers can be unlocked by completing a Recommendation, or requesting a principal override. Lock Free/Reduced Lunch - If checked, the lunch status is hidden from the extended profile. (Principals still see it.) Key- This key is used for encrypting the passwords if you're uploading them (and by the system). It's also a shared default password that users can use if they have an email address listed, but a blank password assigned. (See the first module for more detail on this.) Note- changing your key more than twice could lock users out of the system. If you need to do this, the system will prevent you. You'll need to contact SIMS support to get this unlocked (and potentially reset passwords of users.) Logo- This appears in the upper left corner of the screen. It should be 200 pixels wide, and 40 pixels tall. Abbrev- This is the subdomain for your district. In this case it's training, so the SIMS site for the district woudl be https://training.simspilot.org
This is a list of schools available to your district in SIMS. You need to have the district_student_id assigned if you want to upload any CSV files. This field allows SIMS to map the data from your Student Information System.
This is the screen for creating and editing a school. The SIS primary Key is the district_student_id. You can also set the name of the school here.
Users assigned to this school are presented here, you can add and remove them and choose to designate them as a school admin. See the School Administration module for more information about the duties of a school admin. User to school assignment is also available on the User management screen.
This is the list of users in your district in SIMS. You can filter the list by last name.
This screen is for creating and editing users. The username and password are for logging in. The password must be entered twice. If you have a district key defined, and an email assigned then you can opt to leave the password blank. (See the default password in the intro module for more information.)
The primary key field is what maps this user to your student information system export.
Roles allow users to access different areas of SIMS.
District Admin- The sections in this document. You can assign other district admins. If you remove this role from your account, then you will no longer be able to access these screens. School Admin- Gives access to school admin menu, the user must also be designated as an admin for a school. See the school admin module for more information. News Admin- Create and Edit news for the district. (See following setion. Country Admin- Not used State Admin- Not used Regular User- Most users should have this, core functionality of SIMS. Content Admin- Sets up tiers, intervention definitions, progress monitors, and the checklist.
The all students in district provides access to all students and schools if checked.
You can assign schools to a user here. Clicking the Add a school assignment link will let you choose a school and designate if the user is a school admin and has access to all students in the school.
The school administrator assigns users to specific groups.
I think this would be a good place for the news admin slide that was at the end of the school admin section.
Here you can add students, edit them, or remove them from the district. If you remove them from the district then they are still in the system, just not in your district.
In Wisconsin the State ID is the WSLS number.
The number field is what appears on their student id.
The district ID field is the primary key in your student information system.
You can enter text in the box for the extended profile. This will appear after other extended profile content. It's equivalent to the ext_arbitraries.csv.
You can assign a student to a school by clicking the Add Enrollment link. Choose a grade and the End year. (The end year is used on the student search screen. It lets you enter enrollments for multiple years which is useful over the summer.)
Clicking the Add System Flag lets you pick a category and reason for a flag. These can also be included in the system_flags.csv file (or the specific flag files.)
You can upload files, or add links to the student, these are displayed in the extended profile. Any attached photos will be displayed in the extended profile.
The school administrator assigns users to specific groups.
This allows you to update the flag legend (at the bottom left) for your district. It's simply text that is displayed. See the students page for manually setting system flags, or the scripted module for generating them in your district (system_flags.csv).
Note- The thresholds and documents for the core practice reminder on the student search screen are defined by the content admin.
Currently this tracks successful and failed logins for your district. When a user inputs an invalid username or password it will show the username they entered. Additional items may be added to the log in the future.
On this screen you can upload csv files of student data into SIMS. You'll see a progress bar while the file is uploading, then the results of the upload will be presented. See the scripted module for more information.
Cliking on the Export to CSV link in the menu will create and download file called sims_export.zip containing the content of SIMS for your district. See the scripted module for more information.
Troubleshooting Password not working Check the district logs to make sure they're using the correct username. Reset the password by editing the user. No Choose School in menu. Make sure the user has the regular_user role assigned. No Schools available Make sure the user has schools assigned, or has access to all students in the district. No students available at this school If the user does not have access to all students in the district, then the school admin needs to add them to a group. (Or you can upload the group related csv files) *Contact Tammy for more Q&A that we'd like to see included. Also update this based on feedback from monthly sessions*
First generate the appropriate CSV files for each section. We will provide some documentation about how to do this for some of the more popular Student Information Systems. The file names must match the ones in the list and the headers (and contents) must also match. It is recommended that you zip the files together before doing the upload. The process for generating the CSV's will be the same for either option chosen. Note that each file represents all the data for your district. So if you try to upload half your students in one file, then upload the rest in another file, the second file will overwrite the data in the first. id_district is the primary key in your student information system. You may have to assign your own numbers, just make sure they are unique, persistent, and consistent. For semiautomated upload, log in as a district admin and click on import_csv in the menu at the left. You can then upload your file. For unattended uploads, setup a scheduled job (for example using cron) to generate the CSV files, zip them, and then finish with the following command: curl --user district_upload:your_password https://district_abbrev.simspilot.org/scripted/district_upload -Fupload_file<EMAIL_ADDRESS>-k Replace the district_abbrev with what you saw in step 2, and the password with the password you assigned to the district_upload user. A confirmation email will be sent to the email address assigned to district_upload. curl is a tool for interacting with web pages from the command line, feel free to use another tool if you like (as long as it can do https.)
This is similar to the unattended batch updates above. Setup a user called district_export curl -o sims_export.zip --user district_export:your_password https://district_abbrev.simspilot.org/scripted/district_export -k The sims_export.zip will contain several csv files that you could import into excel, or into a database.
Manually creates and assigns groups Manages school teams Manages quicklist for school
User management (resets passwords, initial creation, etc.) Steps 3-14 above in getting started section Generates CSV files for district using SQL or other tool available in the Student Information System (or delegates this.) Creates Flag Descriptions


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Rock 'n Roll Train Schedule
This ain't the peace train baby.
Current Train Schedule
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Destination
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Next Arrival
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Add a train:
Destination:
First train time: (hh:mm - military time)
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| HYTOOL Function Reference |
Take only the values that are finite and strictly positive time
[tc,sc] = hyclean( t,s )
Take only the values that are finite and strictly positive time
[tc,sc] = hyclean( t,s )
hyselect, hysampling, hyfilter, hyplot Published output in the Help browser showdemo hyclean
| Hytool |
© 1998-2017 Philppe Renard and Co. Terms of Use Acknowledgments


A Json like file format with comments
Jsonc is a simplified json format which allows comments and unquoted values delimited by whitespace. A jsonc formatted file can be transformed to a json file. Comments will be stripped out and quotes added.
Any valid json is also a valid jsonc - but this goes only in one direction.
Json formatted files could be very handy to be used as config files. But the lack of comments and the redundancy of the format hurts readability. Standard formatting like gofmt would also be very handy.
This is just a proposal. Any help like bugfixing, improvements or suggestions are welcome.


Upload videos to your Vimeo account.
Enter vimeo access token, name and description. Drag your video into the dotted area to upload to your vimeo account.


Face recognition demo
Recognize face
Add new faces
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Add a known face
Name of this person
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Picture of this person
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In addition to providing faster routines than previously available, LAPACK provides more comprehensive and better error bounds. Our goal is to provide error bounds for most quantities computed by LAPACK.
In this chapter we explain our overall approach to obtaining error bounds, and provide enough information to use the software. The comments at the beginning of the individual routines should be consulted for more details. It is beyond the scope of this chapter to justify all the bounds we present. Instead, we give references to the literature. For example, standard material on error analysis can be found in [25,55,67,95].
In order to make this chapter easy to read, we have labeled sections not essential for a first reading as Further Details. The sections not labeled as Further Details should provide all the information needed to understand and use the main error bounds computed by LAPACK. The Further Details sections provide mathematical background, references, and tighter but more expensive error bounds, and may be read later.
In section 4.1 we discuss the sources of numerical error, in particular roundoff error. Section 4.2 discusses how to measure errors, as well as some standard notation. Section 4.3 discusses further details of how error bounds are derived. Sections 4.4 through 4.12 present error bounds for linear equations, linear least squares problems, generalized linear least squares problems, the symmetric eigenproblem, the nonsymmetric eigenproblem, the singular value decomposition, the generalized symmetric definite eigenproblem, the generalized nonsymmetric eigenproblem and the generalized (or quotient) singular value decomposition respectively. Section 4.13 discusses the impact of fast Level 3 BLAS on the accuracy of LAPACK routines.


High Priest Raymond:
May Einhasad's blessing be upon you... O brother, what has led you into the power of this divine light? What business has brought you to me? I will gladly help you if by doing so Einhasad's light might be further spread through this darkened world.
Listen to information about first class transfer.
Clan.
Alliance.
Quest.


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Posts and Tags
Note: the first line becomes automatically (as an convention) the title. Therefore start every document with the title. No need for html syntax here.
What is PostsAndTags?
We generate tags like [dog]s and [cat]s, which are both [animal]s, you
know?! Then a [generator] will take care of each tag and render a html
out of it. You can then at least expect that [dog]s and [cat]s tags are
linked to the new dog.html and cat.html files (hover your mouse and see
for yourself).
[Man] (beginning a word with UpperCase ... I hope this one will be generated)is superior to a [animal]. Also I need to get tags with a space between the words, like [dog food].
Then what happen next?
Should you decide to write your own dog.html inside the source folder,
the generator will simply append the tag linking to this page. So the
dog.html links to this index.html because this file contains a dog-tag.
Future developments
- Embed youtube and vimeo videos by just inserting a link inside square brackets
- Recursive folder structure
- Search for tags and content
- The first header shall become your title


Metadata Section
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Your file does not contain a metadata section or it could not be parsed.


public class CheckHits extends Object
| Modifier and Type | Class and Description |
|---|---|
static class
|
CheckHits.ExplanationAsserter
Asserts that the score explanation for every document matching a
query corresponds with the true score.
|
static class
|
CheckHits.ExplanationAssertingSearcher
an IndexSearcher that implicitly checks hte explanation of every match
whenever it executes a search.
|
static class
|
CheckHits.SetCollector
Just collects document ids into a set.
|
| Modifier and Type | Field and Description |
|---|---|
static float
|
EXPLAIN_SCORE_TOLERANCE_DELTA
Some explains methods calculate their values though a slightly
different order of operations from the actual scoring method ...
|
| Constructor and Description |
|---|
CheckHits
()
|
| Modifier and Type | Method and Description |
|---|---|
static void
|
checkDocIds
(
String
mes,
int[] results,
ScoreDoc
[] hits)
Tests that a Hits has an expected order of documents
|
static void
|
checkEqual
(
Query
query,
ScoreDoc
[] hits1,
ScoreDoc
[] hits2)
|
static void
|
checkExplanations
(
Query
query,
String
defaultFieldName,
Searcher
searcher)
Asserts that the explanation value for every document matching a
query corresponds with the true score.
|
static void
|
checkExplanations
(
Query
query,
String
defaultFieldName,
Searcher
searcher,
boolean deep)
Asserts that the explanation value for every document matching a
query corresponds with the true score.
|
static void
|
checkHitCollector
(
Random
random,
Query
query,
String
defaultFieldName,
Searcher
searcher,
int[] results)
Tests that a query matches the an expected set of documents using a
HitCollector.
|
static void
|
checkHits
(
Random
random,
Query
query,
String
defaultFieldName,
Searcher
searcher,
int[] results)
Tests that a query matches the an expected set of documents using Hits.
|
static void
|
checkHitsQuery
(
Query
query,
ScoreDoc
[] hits1,
ScoreDoc
[] hits2,
int[] results)
Tests that two queries have an expected order of documents,
and that the two queries have the same score values.
|
static void
|
checkNoMatchExplanations
(
Query
q,
String
defaultFieldName,
Searcher
searcher,
int[] results)
Tests that all documents up to maxDoc which are *not* in the
expected result set, have an explanation which indicates that
the document does not match
|
static
String
|
hits2str
(
ScoreDoc
[] hits1,
ScoreDoc
[] hits2,
int start,
int end)
|
static
String
|
topdocsString
(
TopDocs
docs,
int start,
int end)
|
static void
|
verifyExplanation
(
String
q,
int doc,
float score,
boolean deep,
Explanation
expl)
Assert that an explanation has the expected score, and optionally that its
sub-details max/sum/factor match to that score.
|
public static float EXPLAIN_SCORE_TOLERANCE_DELTA
public static void checkNoMatchExplanations( Query q, String defaultFieldName, Searcher searcher, int[] results) throws IOException
IOException
public static void checkHitCollector( Random random, Query query, String defaultFieldName, Searcher searcher, int[] results) throws IOException
Note that when using the HitCollector API, documents will be collected if they "match" regardless of what their score is.
query
- the query to test
searcher
- the searcher to test the query against
defaultFieldName
- used for displaying the query in assertion messages
results
- a list of documentIds that must match the query
IOException
checkHits(java.util.Random, org.apache.lucene.search.Query, java.lang.String, org.apache.lucene.search.Searcher, int[])
public static void checkHits( Random random, Query query, String defaultFieldName, Searcher searcher, int[] results) throws IOException
Note that when using the Hits API, documents will only be returned if they have a positive normalized score.
query
- the query to test
searcher
- the searcher to test the query against
defaultFieldName
- used for displaing the query in assertion messages
results
- a list of documentIds that must match the query
IOException
checkHitCollector(java.util.Random, org.apache.lucene.search.Query, java.lang.String, org.apache.lucene.search.Searcher, int[])
public static void checkDocIds( String mes, int[] results, ScoreDoc [] hits) throws IOException
IOException
public static void checkHitsQuery( Query query, ScoreDoc [] hits1, ScoreDoc [] hits2, int[] results) throws IOException
IOException
public static void checkEqual( Query query, ScoreDoc [] hits1, ScoreDoc [] hits2) throws IOException
IOException
public static String hits2str( ScoreDoc [] hits1, ScoreDoc [] hits2, int start, int end) throws IOException
IOException
public static void checkExplanations( Query query, String defaultFieldName, Searcher searcher) throws IOException
query
- the query to test
searcher
- the searcher to test the query against
defaultFieldName
- used for displaing the query in assertion messages
IOException
CheckHits.ExplanationAsserter
,
for a
"deep" testing of the explanation details.
public static void checkExplanations( Query query, String defaultFieldName, Searcher searcher, boolean deep) throws IOException
query
- the query to test
searcher
- the searcher to test the query against
defaultFieldName
- used for displaing the query in assertion messages
deep
- indicates whether a deep comparison of sub-Explanation details should be executed
IOException
CheckHits.ExplanationAsserter
public static void verifyExplanation( String q, int doc, float score, boolean deep, Explanation expl)
q
- String representation of the query for assertion messages
doc
- Document ID for assertion messages
score
- Real score value of doc with query q
deep
- indicates whether a deep comparison of sub-Explanation details should be executed
expl
- The Explanation to match against score


Income Tax Department to launch instant PAN feature online: Report
The ePAN service will be available free of cost and 'on a near to real time' basis
The Income Tax (I-T) Department will soon begin issuing permanent account numbers (PAN) online using details from the Aadhaar database, reports The Times of India.
The electronic PAN (ePan) facility will be launched within the next few weeks but had conducted a pilot rollout of the feature, issuing 62,000 ePANs over eight days, the report stated.
The service will be available free of cost and 'on a near to real time' basis, an official told the paper.
Moneycontrol could not independently verify the story.
The digitally signed ePAN will have a QR code, which will contain a person’s basic details and photograph, the report added. As a security measure, the information in the QR code will be encrypted, the report quotes an official as saying.
Those applying for a PAN will have to verify their Aadhaar details using a one-time password (OTP). Since individuals’ basic information will be taken from the Aadhaar database, there will be no need to upload documents to provide the details.
“The move is part of greater digitisation of income tax services and aimed at providing the facility without anyone having to visit any office,” an official told the publication.


WITNESS LIST
Mental Health, Select Committee
September 22, 2016 - 10:00 AM
Mental health and behavioral health care services in Texas
On:
Albert, Christopher (University of Texas Rio Grande Valley)
Bray, Timothy (Department of State Health Services)
Brownson, Chris (University of Texas at Austin)
Dailey, Kathlyn (Texas State University)
Davis, Jon (West Texas A&M University)
Gartner, Maggie (Texas A&M University)
Hernandez, Cynthia (Texas A&M University)
Lakey, David (University of Texas System)
Lenox, Richard (Texas Tech University Student Counseling Center)
Miller, Andrew (Sam Houston State University)
Ngo, Norma (University of houston)
Schertler, Dayna (West Texas A&M University)
Scott Rinker, Dr. Lee (Houston Community College)
Silva, Rito (Del Mar College)
Stretcher, Ron (Self; Dallas County and the North Texas Behavioral Authority)
Walker, Richard (University of Houston System)
Warner, John (UT Southwestern Medical Center)
Registering, but not testifying:
On:
Cook, Cynthia (University of Houston-Clear Lake)
Fischer, Daniel (Del Mar College)
Hernandez, Rita (Del Mar College)
Lambert, Jay (University of Houston Victoria)
LeGrande, Tomikia (University of Houston-Downtown)
Smith, Reginald (Self; Communities for Recovery)
Tamminga, Carol (Ut Southwestern Medical Center)
1


The JRE is composed of the Java API and the JVM. The role of the JVM is to read the Java application through the Class Loader and execute it along with the Java API.
A virtual machine (VM) is a software implementation of a machine (i.e. a computer) that executes programs like a physical machine. Originally, Java was designed to run based on a virtual machine separated from a physical machine for implementing WORA (Write Once Run Anywhere), although this goal has been mostly forgotten. Therefore, the JVM runs on all kinds of hardware to execute the Java Bytecode without changing the Java execution code.
The JVM is responsible for the following:The constant pool is a pool of constants. In other words, it contains a list of all the constants contained in a class. Note that each class has its own constant pool in memory. The constants are literals that don't change over time.
This is responsible for loading the class files or byte code files. The class loader is responsible for loading classes and interfaces residing in the byte code.
The three basic functions of the class loader include:This is the region of memory where objects are stored. Note that if the size of an object cannot be determined at compilation time, such objects are stored in the heap; in other words, instances of classes. On the contrary, if the compiler can determine the size of an object at compilation time, such objects are placed in the stack in memory. An example would be variables belonging to fundamental data types.
The heap area also contains the Garbage Collected Heap. The garbage collected heap is an area of the memory within the context of the JVM where objects are stored. It de-allocates the memory occupied by these objects as and when they are no longer needed or referenced in the code. The GC works on the basis of two principles: reference counting and mark and sweep. Note that local object references reside in the stack whereas the actual objects are stored in the heap. The GC works in the background and releases memory when objects are no longer in use.
The JVM stores local variables and intermediate results of execution of methods in the stack. Note that each thread inside the JVM contains its own private stack. Also, each method contains its own method frame: The frame is created at the time the method is called and is deleted when the execution of the method is over.
This contains the registers used by the JVM.
The JVM contains four registers:This is responsible for execution of the compiled code or byte code.
The execution engine comprises of the following:


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Policy
A dtype policy for a Keras layer.
tf.compat.v1.keras.mixed_precision.experimental.Policy
tf.compat.v2.keras.mixed_precision.experimental.Policy
A dtype policy determines dtype-related aspects of a layer, such as its computation and variable dtypes. Each layer has a policy. Policies can be passed to the 'dtype' argument of layer constructors, or a global policy can be set with 'tf.keras.mixed_precision.experimental.set_policy'. A layer will default to the global policy if no policy is passed to it's constructor.
For most models, each layer will have the same computation dtype and variable dtype, which will typically be float32. However, when mixed precision training is used, most layers will instead have a float16 computation dtype and a float32 variable dtype. See this link for more information on mixed precision training. When the variable dtype does not match the computation dtype, variables will be automatically casted to the computation dtype to avoid type errors.
Policies also have a tf.train.experimental.LossScale
instance, which is used
by tf.keras.Model
s to performance loss scaling. Loss scaling is only done by
Models in Model.fit
and Model.train_on_batch
. Layers which are not Models
ignore the loss scale.
Policies are constructed by passing a string to the constructor, e.g.
tf.keras.mixed_precision.experimental.Policy('float32')
. The string
determines the compute and variable dtypes. It can be one of the following:
To use mixed precision in a model, the 'mixed_float16' policy can
be used. tf.keras.mixed_precision.experimental.set_policy
can be used to set
the default policy for layers if no policy is passed to them. For example:
tf.keras.mixed_precision.experimental.set_policy('mixed_float16') model = tf.keras.models.Sequential( tf.keras.layers.Input((100,)), # Dense layers use global policy of 'mixed_float16', which does # computations in float16 while keeping variables in float32. tf.keras.layers.Dense(10), tf.keras.layers.Dense(10), # Softmax should be done in float32 for numeric stability. We pass # dtype='float32' to use float32 instead of the global policy. tf.keras.layers.Activation('Softmax', dtype='float32') ) model.fit(...) # Train `model`
Alternatively, the policy can be passed to individual layers instead of
setting the global policy with set_policy
:
policy = tf.keras.mixed_precision.experimental.Policy('mixed_float16') model = tf.keras.models.Sequential( tf.keras.layers.Input((100,)), tf.keras.layers.Dense(10, dtype=policy), tf.keras.layers.Dense(10, dtype=policy), # Softmax should be done in float32 for numeric stability. tf.keras.layers.Activation('Softmax', dtype='float32') ) model.fit(...) # Train `model`
As the above example shows, strings can be directly passed to layer
constructors in the dtype
argument instead of policies, but only if the
string is convertible to a dtype.
Note the 'mixed_float16' policy will apply loss scaling by default in
Model.fit
and Model.train_on_batch
. If neither method is used (e.g., a
custom training loop is used) and 'mixed_float16' is used, the loss scale must
be manually applied. See
tf.keras.mixed_precision.experimental.LossScaleOptimizer
for details. For
'mixed_bfloat16', no loss scaling is done and loss scaling never needs to be
manually applied.
In addition to a dtype or "
Once the layer is called for the first time, the layer's policy will change to the dtype of the first input.
Similarly to "infer", there is a deprecated "infer_with_float32_vars" policy
that infers the compute dtype, but not the variable dtype. Once a layer with
an "infer_with_float32_vars" policy is called for the first time, the layer's
policy will change to "
Warning: Policies ending in "_with_float32_vars" will be removed in TensorFlow 2.1. Please use "mixed_float16" or "mixed_bfloat16" instead.
In TensorFlow 1, only the "infer" and "infer_with_float32_vars" policies are available.
__init__
__init__( name, loss_scale=USE_DEFAULT )
Constructs the policy.
The name
argument determines the compute and variable dtype, and has no
additional effect on the Policy. The compute and variable dtypes can only be
specified through name
, and cannot be specified directly.
name
: A string. Can be one of the following values:loss_scale
: A tf.train.experimental.LossScale
, or a value convertible to
one such as "dynamic". Defaults to using no loss scaling unless name
is "mixed_float16", in which case this defaults to "dynamic". Only
tf.keras.Model
s, not layers, use the loss scale, and it is only used
during Model.fit
or Model.train_on_batch
.compute_dtype
The compute dtype of this policy.
This is the dtype layers will do their computations in.
If this is None, the policy is "infer" or "infer_with_float32_vars" and
variable_dtype
is either None or float32 respectively.
Note that even if the compute dtype is float16 or bfloat16, hardware devices may not do individual adds, multiplies, and other fundamental operations in [b]float16, but instead may do some of them in float32 for numeric stability. The compute dtype is the dtype of the inputs and outputs of the TensorFlow ops that the layer executes. Internally, many TensorFlow ops will do certain internal calculations in float32, or some other device-internal intermediate format with higher precision than [b]float16, to increase numeric stability.
For example, a tf.keras.layers.Dense
layer, when run on a GPU with a
float16 compute dtype, will pass float16 inputs to tf.matmul. But, tf.matmul
will do use float32 intermediate math. The performance benefit of float16 is
still apparent, due to increased memory bandwidth and the fact GPUs have
specialized hardware for computating matmuls on float16 while still keeping
intermediate computations in float32.
The variable dtype of this policy, or None if the variable dtype should be inferred from the inputs.
loss_scale
Returns the loss scale of this Policy.
A tf.train.experimental.LossScale
, or None.
name
Returns the name of this policy.
should_cast_variables
Returns True if variables should be casted.
This is true if the variable dtype is not the same as the compute dtype.
True, if variables should be casted.
variable_dtype
The variable dtype of this policy.
This is the dtype layers will create their variables in, unless a layer
explicit chooses a different dtype. If this is different than
Policy.compute_dtype
and both are non-None, Layers will cast variables to
the compute dtype to avoid type errors.
If this is None, the policy is "infer" and the compute_dtype
is also None.
If compute_dtype
is None, this is either None or float32.
The variable dtype of this policy, or None if the variable dtype should be inferred from the inputs.


Bug summary:
App crashes if delete the created token
Observed Behavior (a description of what happened with the app):
Application crashes
Expected Behavior (a description of what you expected to happen):
The token can be deleted without any error or crash.
Steps to Reproduce (the steps to reproduce the problem):
1. Click the app icon to start Android Token
2. Click "Action overflow" button (Three dots on the right-top corner)
3. Select "Add Token". Then, choose Token Type as "Event Token"
4. Type name as "test", leave "Serial No" as empty, and update "OTP Length" to 6. Then, click the "NEXT" button
5. Select "Generate Random Seed" for Token Seed Method, and update to "Base 32". Finally, click the "COMPLETE" button.
6. Now, you can see a token named "test" has been created. Once we've reached this point, click the "Action overflow" button on the right-top corner again, and click "Delete Token"
7. Select the created "test" token, and click the "OK" button.
8. The app will crash at this point.
Additional information:
This bug should be assigned the highest priority to be fixed as the app crashes.
Attachments:


§58-5 State assistance. The department of land and natural resources and the University of Hawaii shall cooperate with and to the fullest extent possible assist the counties and their respective committees in carrying out this chapter. [L 1975, c 105, pt of §2; am L 1980, c 293, §8]


John Mayer Offers Up His Own Take On The ‘Christmas Lights’ Lyric In Taylor Swift’s ‘Lover’
by Corey AtadJohn Mayer has no problem with leaving Christmas lights up ’til January.
The singer talked about his love of Taylor Swift’s recent hit “Lover” on his Instagram Live show “Current Mood” with special guest Shawn Mendes, who appears on a new remix of the song.
“Love the song, I really like the song,” Mayer commented, before offering up a slight criticism. “I get a little chuckle because she says, ‘We can keep the Christmas lights up ‘til January.’ And I go, ‘You’re insane. Everyone keeps their Christmas lights up until January.'”
Mayer soon launched into his own rendition of “Lover” with his own take on the Christmas lights lyric.
“We can keep the Christmas lights up ‘til January,” he sang. “And then about January 5th, we’ll take the lights down. And then we’ll put ‘em in a box and we’ll label that box Christmas lights. Yeah, we’ll put ‘em in the attic until next December.”
Also on the show, Mendes’ girlfriend Camila Cabello made a surprise appearance while backstage on the shoot for her “Living Proof” music video.
The trio then played a game Mayer called “Camila CaMendes, CaMendes Cabello, Cabello Cabela’s Mendes”.
Mayer even supplied an adorable theme song for the game.


If you identify any errors in this package, or have an idea for an improvement, please open an issue.
Here is a stackblitz template.


lclpy.problem package¶
Submodules¶
lclpy.problem.abstract_local_search_problem module¶
-
class
lclpy.problem.abstract_local_search_problem.
AbstractLocalSearchProblem
¶ Bases:
abc.ABC
Template to create Problem-classes for localsearch implemenatations.
This Class is meant to be used as a template. It is supposed to be used when constructing your own solution objects for a specific problem.
-
abstract
evaluate
()¶ Evaluates the current state of the solution.
- Returns
An indication of the quality of the current state.
- Return type
int or float
-
evaluate_move
(move)¶ Evaluates the quality gained or lost by a potential move.
This function does not need to be implemented.
- Parameters
move (tuple of int) – Represents a unique valid move.
- Returns
The change in value of the eval-function if the move is performed.
- Return type
int or float
-
first_neighbourhood
()¶ Changes the current neighbourhood to the first neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood.
- Raises
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
abstract
get_moves
()¶ An iterable that returns all valid moves in the complete neighbourhood.
- Yields
move (tuple of int) – A representation of the next move in the neighbourhood.
-
abstract
get_random_move
()¶ A function to return a random move from the complete neighbourhood.
- Returns
A representation of the move.
- Return type
tuple of int
-
abstract
move
(move)¶ Performs a move.
- Parameters
move (tuple of int) – A representation of a move.
-
next_neighbourhood
()¶ Changes the current neighbourhood to the next neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood. If this function is called when the last neighbourhood is the current neighbourhood, the last neighbourhood will remain the current neighbourhood and an exception will be raised.
- Raises
NoNextNeighbourhood – If there is no next neighbourhood. This is simply an indication that the current neighbourhood was the last neighbourhood.
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
previous_neighbourhood
()¶ Changes the current neighbourhood to the previous neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood. If this function is called when the first neighbourhood is the current neighbourhood, the first neighbourhood will remain the current neighbourhood.
- Raises
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
abstract
reset
()¶ Resets the object back to it’s state after init.
-
select_get_moves
()¶ Function to get all moves from the current neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood.
- Returns
An iterable generator object that contains all the moves of the current neighbourhood.
- Return type
generator
- Raises
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
select_random_move
()¶ A method used to generate a random move from the current neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood.
- Returns
A random valid move from the current neighbourhood.
- Return type
tuple of int
- Raises
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
abstract
set_as_best
()¶ Saves the current state as the best found state.
-
abstract
state
()¶ Returns an immutable hashable object that describes the current state.
- Returns
A representation of the current state.
- Return type
tuple
-
abstract
undo_move
(move)¶ Undoes a move.
- Parameters
move (tuple of int) – A representation of the move one wishes to undo.
-
abstract
lclpy.problem.array_problem module¶
-
class
lclpy.problem.array_problem.
ArrayProblem
(evaluation_function, move_function, size, order=None)¶ Bases:
lclpy.problem.abstract_local_search_problem.AbstractLocalSearchProblem
Contains all the data needed to handle a problem.
- Parameters
evaluation_function (AbstractEvaluationFunction) – The evaluation function that needs to be used for the problem.
move_function (AbstractMove) – The move function that needs to be used for the problem.
order (numpy.ndarray or list, optional) – A one dimensional array that contains the order of the points to start with. All values are int, unique and are within the interval [0,size[. The default value is None. In the default case a numpy array will be generated. The generated array’s values will always be ordered from small to big.
-
_evaluation_function
¶ The evaluation function that is used for the problem
- Type
AbstractEvaluationFunction.
-
_move_function
¶ The move function that is used for the problem.
- Type
-
_order
¶ A 1 dimensional array that contains the current order of the points. All values are int, unique and are within the interval [0,size[.
- Type
numpy.ndarray
-
_starting_order
¶ The initial value of _order.
- Type
numpy.ndarray
-
best_order
¶ Contains the order of the best found problem.
- Type
numpy.ndarray
-
best_order_value
¶ The evaluation value of the best found problem.
- Type
int or float
Examples
A simple example, demonstrates the use of move, undo_move, evaluate and set_as_best. Note that problem.set_as_best_order does NOT check if the value actually belongs to the order NOR does it check if the value is better than the previous best value:
Initialising with a non-default order:
-
evaluate
()¶ A function to evaluate the current _order.
- Returns
An evaluation of the current state of _order.
- Return type
int or float
-
evaluate_move
(move)¶ Evaluates the quality gained or lost by a potential move.
Can lead to considerable speedups. Is equivalent to a delta evaluation between _order and _order after the move is performed. Note that delta-evaluation needs to be implemented for the evaluation function and the move type for this method to work.
- Parameters
move (tuple of int) – Represents a unique valid move.
- Returns
The change in value of the eval-function if the move is performed.
- Return type
int or float
Examples
A simple example:
-
first_neighbourhood
()¶ Changes the current neighbourhood to the first neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood.
- Raises
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
get_moves
()¶ An iterable that returns all valid moves in the complete neighbourhood.
- Yields
tuple of int – The next move in the neighbourhood.
Examples
Gets all moves from the neigbourhood, you should NEVER do this. You should evaluate only one move at a time. This example is simply to show the behaviour of get_moves.
-
get_random_move
()¶ A function to return a random move from the complete neighbourhood.
- Returns
Represents one unique valid move in the neighbourhood.
- Return type
tuple of int
Examples
Get a random valid move:
-
move
(move)¶ Performs a move on _order.
- Parameters
move_number (tuple of int) – Represents a unique valid move.
-
next_neighbourhood
()¶ Changes the current neighbourhood to the next neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood. If this function is called when the last neighbourhood is the current neighbourhood, the last neighbourhood will remain the current neighbourhood and an exception will be raised.
- Raises
NoNextNeighbourhood – If there is no next neighbourhood. This is simply an indication that the current neighbourhood was the last neighbourhood.
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
previous_neighbourhood
()¶ Changes the current neighbourhood to the previous neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood. If this function is called when the first neighbourhood is the current neighbourhood, the first neighbourhood will remain the current neighbourhood.
- Raises
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
reset
()¶ Resets the object back to it’s state after init.
_order is replaced by a copy of _starting_order.
Examples
A simple example with the default order:
An example with a non-default order:
-
select_get_moves
()¶ Function to get all moves from the current neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood.
- Returns
An iterable generator object that contains all the moves of the current neighbourhood.
- Return type
generator
- Raises
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
select_random_move
()¶ A method used to generate a random move from the current neighbourhood.
Note that this function will only be useable if the neighbourhood given to the constructor is a MultiNeighbourhood.
- Returns
A random valid move from the current neighbourhood.
- Return type
tuple of int
- Raises
WrongMoveTypeError – If the move_function isn’t a MultiNeighbourhood.
-
set_as_best
(evaluation_value)¶ Sets the current _order as the new best_order
- Parameters
evaluation_value (int or float) – The evaluation value of the current order. If you haven’t kept or calculated said value, it can always be calculated with evaluate(). The recalculation will take time, however.
-
state
()¶ Returns an immutable hashable object that describes the current state.
- Returns
A hashable object associated with the current state.
- Return type
tuple
Examples
A simple example:
-
undo_move
(move)¶ Undoes a move on _order .
- Parameters
move_number (tuple of int) – Represents a unique valid move.
Module contents¶
This package contains a template class for Problems and implementations of said class.


#include <math.h>
#include "slu_zdefs.h"
Functions | |
| void | zCreate_CompCol_Matrix (SuperMatrix *A, int m, int n, int nnz, doublecomplex *nzval, int *rowind, int *colptr, Stype_t stype, Dtype_t dtype, Mtype_t mtype) |
| Supernodal LU factor related. | |
| void | zCreate_CompRow_Matrix (SuperMatrix *A, int m, int n, int nnz, doublecomplex *nzval, int *colind, int *rowptr, Stype_t stype, Dtype_t dtype, Mtype_t mtype) |
| void | zCopy_CompCol_Matrix (SuperMatrix *A, SuperMatrix *B) |
| Copy matrix A into matrix B. | |
| void | zCreate_Dense_Matrix (SuperMatrix *X, int m, int n, doublecomplex *x, int ldx, Stype_t stype, Dtype_t dtype, Mtype_t mtype) |
| void | zCopy_Dense_Matrix (int M, int N, doublecomplex *X, int ldx, doublecomplex *Y, int ldy) |
| void | zCreate_SuperNode_Matrix (SuperMatrix *L, int m, int n, int nnz, doublecomplex *nzval, int *nzval_colptr, int *rowind, int *rowind_colptr, int *col_to_sup, int *sup_to_col, Stype_t stype, Dtype_t dtype, Mtype_t mtype) |
| void | zCompRow_to_CompCol (int m, int n, int nnz, doublecomplex *a, int *colind, int *rowptr, doublecomplex **at, int **rowind, int **colptr) |
| Convert a row compressed storage into a column compressed storage. | |
| void | zPrint_CompCol_Matrix (char *what, SuperMatrix *A) |
| Routines for debugging. | |
| void | zPrint_SuperNode_Matrix (char *what, SuperMatrix *A) |
| void | zPrint_Dense_Matrix (char *what, SuperMatrix *A) |
| void | zprint_lu_col (char *msg, int jcol, int pivrow, int *xprune, GlobalLU_t *Glu) |
| Diagnostic print of column "jcol" in the U/L factor. | |
| void | zcheck_tempv (int n, doublecomplex *tempv) |
| Check whether tempv[] == 0. This should be true before and after calling any numeric routines, i.e., "panel_bmod" and "column_bmod". | |
| void | zGenXtrue (int n, int nrhs, doublecomplex *x, int ldx) |
| void | zFillRHS (trans_t trans, int nrhs, doublecomplex *x, int ldx, SuperMatrix *A, SuperMatrix *B) |
| Let rhs[i] = sum of i-th row of A, so the solution vector is all 1's. | |
| void | zfill (doublecomplex *a, int alen, doublecomplex dval) |
| Fills a doublecomplex precision array with a given value. | |
| void | zinf_norm_error (int nrhs, SuperMatrix *X, doublecomplex *xtrue) |
| Check the inf-norm of the error vector. | |
| void | zPrintPerf (SuperMatrix *L, SuperMatrix *U, mem_usage_t *mem_usage, double rpg, double rcond, double *ferr, double *berr, char *equed, SuperLUStat_t *stat) |
| Print performance of the code. | |
| print_doublecomplex_vec (char *what, int n, doublecomplex *vec) |
-- SuperLU routine (version 3.1) -- Univ. of California Berkeley, Xerox Palo Alto Research Center, and Lawrence Berkeley National Lab. August 1, 2008
Copyright (c) 1994 by Xerox Corporation. All rights reserved.
THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY EXPRESSED OR IMPLIED.
Permission is hereby granted to use or copy this program for any purpose, provided the above notices are retained on all copies. Permission to modify the code and to distribute modified code is granted, provided the above notices are retained, and a notice that the code was modified is included with the above copyright notice.
| print_doublecomplex_vec | ( | char * | what, | |
| int | n, | |||
| doublecomplex * | vec | |||
| ) |
| void zcheck_tempv | ( | int | n, | |
| doublecomplex * | tempv | |||
| ) |
| void zCompRow_to_CompCol | ( | int | m, | |
| int | n, | |||
| int | nnz, | |||
| doublecomplex * | a, | |||
| int * | colind, | |||
| int * | rowptr, | |||
| doublecomplex ** | at, | |||
| int ** | rowind, | |||
| int ** | colptr | |||
| ) |
| void zCopy_CompCol_Matrix | ( | SuperMatrix * | A, | |
| SuperMatrix * | B | |||
| ) |
| void zCopy_Dense_Matrix | ( | int | M, | |
| int | N, | |||
| doublecomplex * | X, | |||
| int | ldx, | |||
| doublecomplex * | Y, | |||
| int | ldy | |||
| ) |
Copies a two-dimensional matrix X to another matrix Y.
| void zCreate_CompCol_Matrix | ( | SuperMatrix * | A, | |
| int | m, | |||
| int | n, | |||
| int | nnz, | |||
| doublecomplex * | nzval, | |||
| int * | rowind, | |||
| int * | colptr, | |||
| Stype_t | stype, | |||
| Dtype_t | dtype, | |||
| Mtype_t | mtype | |||
| ) |
| void zCreate_CompRow_Matrix | ( | SuperMatrix * | A, | |
| int | m, | |||
| int | n, | |||
| int | nnz, | |||
| doublecomplex * | nzval, | |||
| int * | colind, | |||
| int * | rowptr, | |||
| Stype_t | stype, | |||
| Dtype_t | dtype, | |||
| Mtype_t | mtype | |||
| ) |
| void zCreate_Dense_Matrix | ( | SuperMatrix * | X, | |
| int | m, | |||
| int | n, | |||
| doublecomplex * | x, | |||
| int | ldx, | |||
| Stype_t | stype, | |||
| Dtype_t | dtype, | |||
| Mtype_t | mtype | |||
| ) |
| void zCreate_SuperNode_Matrix | ( | SuperMatrix * | L, | |
| int | m, | |||
| int | n, | |||
| int | nnz, | |||
| doublecomplex * | nzval, | |||
| int * | nzval_colptr, | |||
| int * | rowind, | |||
| int * | rowind_colptr, | |||
| int * | col_to_sup, | |||
| int * | sup_to_col, | |||
| Stype_t | stype, | |||
| Dtype_t | dtype, | |||
| Mtype_t | mtype | |||
| ) |
| void zfill | ( | doublecomplex * | a, | |
| int | alen, | |||
| doublecomplex | dval | |||
| ) |
| void zFillRHS | ( | trans_t | trans, | |
| int | nrhs, | |||
| doublecomplex * | x, | |||
| int | ldx, | |||
| SuperMatrix * | A, | |||
| SuperMatrix * | B | |||
| ) |
| void zGenXtrue | ( | int | n, | |
| int | nrhs, | |||
| doublecomplex * | x, | |||
| int | ldx | |||
| ) |
| void zinf_norm_error | ( | int | nrhs, | |
| SuperMatrix * | X, | |||
| doublecomplex * | xtrue | |||
| ) |
| void zPrint_CompCol_Matrix | ( | char * | what, | |
| SuperMatrix * | A | |||
| ) |
| void zPrint_Dense_Matrix | ( | char * | what, | |
| SuperMatrix * | A | |||
| ) |
| void zprint_lu_col | ( | char * | msg, | |
| int | jcol, | |||
| int | pivrow, | |||
| int * | xprune, | |||
| GlobalLU_t * | Glu | |||
| ) |
| void zPrint_SuperNode_Matrix | ( | char * | what, | |
| SuperMatrix * | A | |||
| ) |
| void zPrintPerf | ( | SuperMatrix * | L, | |
| SuperMatrix * | U, | |||
| mem_usage_t * | mem_usage, | |||
| double | rpg, | |||
| double | rcond, | |||
| double * | ferr, | |||
| double * | berr, | |||
| char * | equed, | |||
| SuperLUStat_t * | stat | |||
| ) |


Based on this marking rubric you should be able to tell what you need to look out for while doing a code review
| Criteria | Excellent | Good | Adequate | Developing |
|---|---|---|---|---|
| Program Specifications / Correctness | No errors, program always works correctly and meets the specification's. | Minor details of the program specification are violated, program functions incorrectly for some inputs. | Significant details of the specification are violated, program often exhibits incorrect behavior. | Program only functions correctly in very limited cases or not at all. |
| Readability | No errors, code is clean, understandable, and well-organized. | Minor issues with consistent indentation, use of whitespace, variable naming, or general organization. | At least one major issue with indentation, whitespace, variable names, or organization. | Major problems with indentation, whitespace, variable names, or organization. |
| Code Efficiency | No errors, code uses the best approach in every case. | Code uses poorly-chosen approaches in at least one place. | Importing a module multiple times or having imports and not using them. | Many things in the code could have been accomplished in an easier, faster, or otherwise better fashion. |
| Documentation | No errors, code is well-commented. | One or two places that could benefit from comments are missing them or the code is overly commented. | File header missing, complicated lines or sections of code uncommented or lacking meaningful comments. | No file header or No Comments in modules classes or functions. |
| Assignment Specifications | No errors | N/A | Minor details of the assignment specification are violated, such as files named incorrectly or extra instructions slightly misunderstood. | Significant details of the specification are violated, such as extra instructions ignored or entirely misunderstood. |
Useful Links:


snapshotedit
Summaryedit
This command allows you to capture snapshots of indices into a pre-existing
repository. To create a repository you can
use the API, or the es_repo_mgr
script. There are other tools available.
Snapshots are incremental. Snapshotting to a named snapshot is also possible,
otherwise the default snapshot name will be the snapshot prefix + a timestamp:
curator-%Y%m%d%H%M%S
(or YearMonthDayHourMinuteSecond). The default snapshot
prefix is curator-
, but that can be overridden with the --prefix
flag. With
incremental snapshotting, only new data (segments) will be backed up.
Flagsedit
$ curator snapshot --help Usage: curator snapshot [OPTIONS] COMMAND [ARGS]... Take snapshots of indices (Backup) Options: --repository TEXT Repository name. --name TEXT Override default name. --prefix TEXT Override default prefix. --wait_for_completion BOOLEAN Wait for snapshot to complete before returning. [default: True] --ignore_unavailable Ignore unavailable shards/indices. --include_global_state BOOLEAN Store cluster global state with snapshot. [default: True] --partial Do not fail if primary shard is unavailable. --request_timeout INTEGER Allow this many seconds before the transaction times out. [default: 21600] --skip-repo-validation Skip repository access validation. --help Show this message and exit. Commands: indices Index selection.
This command requires the indices subcommand for index selection.
Examplesedit
Snapshot indices matching the selection parameters to the named repository:
curator snapshot --repository REPOSITORY_NAME indices <<index selection paramters>>
Regarding timeoutsedit
A default of 6 hours (21600 seconds) will be applied for the
--request_timeout
. Since a snapshot can take a long time, curator may
disconnect and fail to continue with further operations if the timeout is not
set high enough. This number may need to be higher, or could be reduced
depending on your scenario. The log file timestamps will indicate how long it
took to perform previous operations, which you could use as a guideline.
Regarding repositoriesedit
Curator itself is completely repository agnostic. If you’ve created a repository
in any way, curator can make use of it. However, it must be noted that the S3
repository type cannot be used without having the
AWS Cloud
Plugin for Elasticsearch installed on each master and data node in your
cluster. The es_repo_mgr
script can assist in creation of an S3 repository,
but creation of the repository will fail without this plugin being installed
first.


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{{/** Shortcode for rendering a chart of arrows conveying up/down shifts. Gets a different viewbox on if page loads narrower than the mobileCutoff (default of 600px) (text-sizing gets bumped to take up a greater portion of the figure's width, for legibility on smaller screens). See: /the-growing-risk-of-eviction-in-the-suburbs/index.md for usage */}} {{ $title := .Get "title" }} {{ $xMax := .Get "xMax" }} {{ $axisLabelText := .Get "axisLabelText" }}


public class ResourceComparison
extends java.lang.Object
| Constructor and Description |
|---|
ResourceComparison() |
| Modifier and Type | Method and Description |
|---|---|
java.util.HashMap<it.uniroma1.lcl.babelnet.BabelSynset,java.util.Set<java.lang.String>> |
calculateMultilingualOverlap(java.util.List<it.uniroma1.lcl.babelnet.BabelSynset> synsets,
java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> terminology)
Method that checks the multilingual overlap of several synsets and terminological entries from TermBases that have been previously matched based on their
English words
|
java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> |
calculateMultilingualOverlapConceptNet(java.util.Set<TermEntry> conceptNet,
java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> terminology)
Method that checks the multilingual overlap of several synsets and terminological entries from TermBases that have been previously matched based on their
English words
|
java.lang.Boolean |
checkBNRelations(it.uniroma1.lcl.babelnet.BabelSynset synset)
Checks whether a BabelNet synset has any relations that are not in the list of relations we wish to omit
Stops if one such relation is found and returns true
|
java.lang.Boolean |
checkCNRelations(java.lang.String cnid)
Checks whether a conceptNet id has any relations that are not in the list of relations we wish to omit
Retrieves all associated and valid relations from the Database and returns true if relations are found
|
void |
combineCNWithTerminologies(java.util.Set<TermEntry> conceptNetEntries,
java.util.Set<TermEntry> iateEntries,
java.util.Set<TermEntry> termiumEntries)
ConceptNet entries that are to be merged with IATE and Termium because it overlaps in more than three words across langauges
|
void |
combineEntries(it.uniroma1.lcl.babelnet.BabelSynset synset,
java.util.Set<TermEntry> iateEntries,
java.util.Set<TermEntry> termiumEntries,
java.util.Set<TermEntry> conceptNetEntries)
First writes all BabelNet data and metadata to the EVALution synset and then merges it with the synsets of the other resources
|
void |
getBabelNetOverlap(java.util.HashMap<java.lang.String,java.util.List<it.uniroma1.lcl.babelnet.BabelSynset>> babelSynsets,
java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> iateTB,
java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> termiumTB,
java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> conceptNetTB,
java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> iateEnglish,
java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> termiumEnglish,
java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> conceptNetEnglish)
Method that compares the retrieved BabelNet synsets to IATE, Termium and conceptNet.
|
void |
getBNRelations(it.uniroma1.lcl.babelnet.BabelSynset synset)
Retrieves all relations of a BabelNet synset, checks if the target of the relation is already stored
If the target synset is not yet written to our final resulting DB, this method assigns a unique id to
the target synset, writes it to the DB and stores the id to a temporary field for later processing
called "missingBNTargetIDs" and the related generated id to "bnID2synsetID"
|
void |
getCNRelations(java.lang.String cnid,
java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> conceptNetEnglish)
Retrieves all relations of a conceptNet id and checks if the target synset has already been stored in
our resulting Database.
|
void |
getConceptNetOverlap(java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> iateEnglish,
java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> termiumEnglish,
java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> conceptNetEnglish)
Method to calculate overlap of all conceptNet synsets that were not merged with BabelNet synsets and check whether they overlap with IATE and Termium.
|
void |
mergeEntries(java.util.Set<TermEntry> terminology,
java.lang.Long synsetID,
java.lang.String generatedID,
java.lang.Boolean conceptNet)
Auxiliary method that merges the BabelNet synset that has been written to DB with the terminological synset
|
void |
resourceAligner()
Main method to run through BabelNet, IATE, Termium, and ConceptNet and create a merged version based on
a multilingual comparison of their synset entries
|
void |
writeAllWordSenses(java.lang.String term,
java.lang.String lang,
java.lang.String wordSense,
it.uniroma1.lcl.babelnet.BabelSynset synset,
java.lang.Long wordID,
java.lang.Long languageID,
java.lang.Long sourceID)
Method that retrieves all BabelNet senses for a specific term and stores them for reference in our final DB
|
public void resourceAligner()
public void getBabelNetOverlap(java.util.HashMap<java.lang.String,java.util.List<it.uniroma1.lcl.babelnet.BabelSynset>> babelSynsets, java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> iateTB, java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> termiumTB, java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> conceptNetTB, java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> iateEnglish, java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> termiumEnglish, java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> conceptNetEnglish)
babelSynsets:
- all retrieved BabelNet synset of this batchiateTB:
- all IATE synsets of this batchtermiumTB:
- all Termium synsets of this batchconceptNetTB:
- all conceptNet synsets of this batchiateEnglish:
- all English words in IATEtermiumEnglish:
- all English words in TermiumconceptNetEnglish:
- all English words in conceptNetmissingBNTargetIDs:
- target synsets of relations that have not been written to the final DBallMatchingIDs:
- variable to keep track of already included BabelNet synsets and avoid writing them twice to the DB (if synonyms are queried later)public void getConceptNetOverlap(java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> iateEnglish, java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> termiumEnglish, java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> conceptNetEnglish)
iateEnglish:
- list of English words in IATEtermiumEnglish:
- list of English words in TermiumconceptNetEnglish:
- list of English words in conceptNetpublic java.util.HashMap<it.uniroma1.lcl.babelnet.BabelSynset,java.util.Set<java.lang.String>> calculateMultilingualOverlap(java.util.List<it.uniroma1.lcl.babelnet.BabelSynset> synsets, java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> terminology)
synsets:
- set of BabelNet synsets containing that specific English wordterminology:
- set of the terminological entries from either IATE or Termium containing that specific English wordresults:
- result map that is returned containing the overlapping synset and entry IDspublic java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> calculateMultilingualOverlapConceptNet(java.util.Set<TermEntry> conceptNet, java.util.HashMap<java.lang.String,java.util.Set<TermEntry>> terminology)
synsets:
- set of BabelNet synsets containing that specific English wordterminology:
- set of the terminological entries from either IATE or Termium containing that specific English wordresults:
- result map that is returned containing the overlapping synset and entry IDspublic void combineEntries(it.uniroma1.lcl.babelnet.BabelSynset synset, java.util.Set<TermEntry> iateEntries, java.util.Set<TermEntry> termiumEntries, java.util.Set<TermEntry> conceptNetEntries)
synset:
- BabelNet synset to be merged with other entries because it overlaps in more than three wordsiateEntries:
- IATE synsets that are to be mergedtermiumEntries:
- termium synsets that are to be mergedconceptNetEntries:
- conceptNet entries that are to be mergedpublic void combineCNWithTerminologies(java.util.Set<TermEntry> conceptNetEntries, java.util.Set<TermEntry> iateEntries, java.util.Set<TermEntry> termiumEntries)
conceptNetEntries:
- conceptNet synsets to be mergediateEntries:
- IATE synsets to be mergedtermiumEntries:
- Termium synsets to be mergedpublic void mergeEntries(java.util.Set<TermEntry> terminology, java.lang.Long synsetID, java.lang.String generatedID, java.lang.Boolean conceptNet)
terminology:
- synset of a terminological resourcesynsetID:
- EVALution synset id assigned to the BabelNet synsetgeneratedID:
- EVALution generated UUIDconceptNet:
- Boolean that tells the method whether the synsets are from conceptNet or notpublic void writeAllWordSenses(java.lang.String term, java.lang.String lang, java.lang.String wordSense, it.uniroma1.lcl.babelnet.BabelSynset synset, java.lang.Long wordID, java.lang.Long languageID, java.lang.Long sourceID)
term:
- term to query senses in BabelNetlang:
- language of the term to enable querywordSense:
- source wordSense of synset from which we obtained the termsynset:
- source synset from which we took the termwordID:
- the id associated with the term in our final DBlanguageID:
- the id associated with the language of the term in our final DBsourceID:
- the id associated with the source (BabelSynset id) in our final DBpublic java.lang.Boolean checkBNRelations(it.uniroma1.lcl.babelnet.BabelSynset synset)
synset
- public java.lang.Boolean checkCNRelations(java.lang.String cnid)
cnid
- public void getBNRelations(it.uniroma1.lcl.babelnet.BabelSynset synset)
synset:
- source synset of relationsomittedBNRelations:
- relations that we do not wish to include in the final database (see list at the top)bnID2synsetID:
- all BabelNet synset IDs and their mapping to a reference ID in our final DBmissingBNTargetIDs:
- all BabelNet synset ids that are target synsets of relations but not yet in the final DBpublic void getCNRelations(java.lang.String cnid, java.util.HashMap<java.lang.String,java.util.Set<java.lang.String>> conceptNetEnglish)
omittedCNRelations:
- relations that we do not wish to include in the final database (see list at the top)cnid:
- the source cnid for which all relations are checkedcnID2synsetID:
- map to store all cnids and their related reference IDs in our final resourcemissingCNTargetIDs:
- all conceptNet ids that are target synsets of relations but not yet in the final DB


Redirect example
Go back with no params
Pass back a message of "hello world"
Pass back some fake auth token
Redirecting automatically back to app in
5
seconds


hut-menu is a simple HTML menu module that creates interactive dropdown menus. It contains a minimum amount of styling so that you can customize it to your needs. The example below shows the menu in action.
The buttons below demonstrate how to control the menu through JS. They are not needed for normal menu operation.


DJ Shadow & De La Soul Perform "Rocket Fuel" On 'Jimmy Kimmel Live!'
by Yohance Kyles (@HUEYmixwitRILEY)Watch the legendary rap group hit the stage on the ABC late-night program.
(AllHipHop News) Our Pathetic Age, the sixth studio album by producer DJ Shadow, arrived on November 15. The LP features Nas, Pharoahe Monch, Inspectah Deck, Ghostface Killah, Raekwon, Run the Jewels, Dave East, Pusha T, De La Soul, and more.
On Tuesday night, DJ Shadow and De La Soul turned up on Jimmy Kimmel Live! to run through the track "Rocket Fuel." The performance was highlighted by the emcees leading a call-and-response with the crowd.
De La Soul is responsible for critically-acclaimed albums such as 3 Feet High and Rising (1989) and De La Soul Is Dead (1991). The group earned a Grammy nomination for 2016's And the Anonymous Nobody... LP.
DJ Shadow's discography includes Endtroducing....., The Private Press, The Outsider, The Less You Know, the Better, and The Mountain Will Fall. The latter project peaked at #1 on Billboard's Top Dance/Electronic Albums chart.


Note: The main language of minative system is "English", You cannot edit, disable or delete it.
| Name |
Filename |
Direction |
Language code |
Actions |
{foreach from=$languages item=i key=key}
| {$i.name} |
{$i.filename} |
{$i.direction} |
{$i.langcode} |
{if $i.id != 1}
{else}System main language
{/if}
{if $i.id != 1} {/if} |
{/foreach}
Adding new languages
1. Upload your language.php file to 'languages' main directory in minative system root folder.
2. Come to Tools > Languages manager and start adding the language.


WITNESS LIST Business & Commerce Committee March 6, 2003 - 9:00A SB 126 FOR: Stinson, Bill (Texas Assoication of Realtors), Austin, TX ON: Hamilton, Marilyn (Texas Department of Insurance), Austin, TX Presley, Philip (Texas Department of Insurance), Austin, TX SB 127 FOR: Shawn, Jim (Texas Surplus Lines Association), Austin, TX Stinson, Bill (Texas Association of Realtors), Austin, TX AGAINST: Ruzicka, Bob (Self), Sugarland, TX ON: Bordelon, Rod (Office of Public Insurance Counsel), Austin, TX Hamilton, Marilyn (Texas Department of Insurance), Austin, TX Killian, Jim (Farmers), Round Rock, TX Presley, Philip (Texas Department of Insurance), Austin, TX Registering, but not testifying: Against: Edwards, Lee Ann (Self), Levelland, TX Ellard, Les (Les Ellard Insurance), Deer Park, TX Hurst, David (David Hurst Insurance Agency, Inc.), Houston Mims, Chris (Mims Insurance Agency), Richmond, TX Shouse, Corbin (Corbin Shouse Insurance Agency), Spring, TX Wright, Ronald (Ronald Wright Insurance Agency), Stafford, TX SB 128 FOR: Floyd, Robert (Hance Scarborough Wright and Continental Adjusters), Austin, TX Stinson, Bill (Texas Association of Realtors), Austin, TX ON: Beneke, Jim (Self), Austin, TX Rader, James (Unauthorized Practice of Law Committee), Austin, TX Ray, Matt (Texas Department of Insurance), Austin, TX


Hello World!
This is paragraphs
This is paragraphs
This is paragraphs
My Bonnie lies over the ocean.
My Bonnie lies over the sea.
My Bonnie lies over the ocean.
Oh, bring back my Bonnie to me.
My Bonnie lies over the ocean. My Bonnie lies over the sea. My Bonnie lies over the ocean. Oh, bring back my Bonnie to me.


Stats
This portal is for checking the usage stats for a particular data service. Please click 'Stats' for statistics for your data service.


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Here are some of our favorite things!
These are my three favorites, in order:
Thanks for reading about me!


We’ve ran analysis over 10k of apps on Google Play store and have the below results. From the graph, we can see that social and family category applications are most popular among android users.
Below are the results we gathered from onlines.
Online data source: https://en.wikipedia.org, https://www.makeuseof.com, https://sensortower.com
From the result, we can clearly see that social applications are very popular among the top downloaded apps, which validates that the internet sources are credible.


|
How do I... |
How to do it |
|
Create a new project |
To create a new agent, select New Project... in the File menu. A dialog will be presented allowing you to name your new agent and specify the path where the agent files will be stored. |
|
To open the existing agent, select Open Project... in the File menu. A dialog will be presented allowing you to navigate to the agent file you wish to open. Select that file and click the Open button. |
|
|
Close a project |
To close a project, select Close Project from the File menu in the main window. |
|
Create the operator hierarchy |
To add operators (or files in the case of the elaborations folder) to the operator hierarchy, right-click on the folder node or operator node that you wish to add the operator below. Select Add a Suboperator... A dialog will be presented asking you to name the new operator. If a suboperator is added to a low-level operator (represented with a file node), it becomes a high-level operator, and an elaborations file is created below it. The elaborations file is where non-operator productions relating to the state are stored. |
|
Edit the operator hierarchy |
Once the operator hierarchy has been created, nodes can be renamed by right-clicking on the node and selecting Rename... from the context menu. Nodes can also be deleted by right-clicking and selecting Delete from the context menu. |
|
Create rule files |
Make sure that an agent file is open, then in the operator hierarchy (the left half of the split pane), right-click on any node which is an operator. In most cases, select Add a Suboperator... from the contextual menu. However, if you right-click on the elaborations node, you should select Add a File... since only rules which are not operators are stored under elaborations. Either way, a dialog will be presented allowing you to name the new operator or file. |
|
Once you have created the rule file you can edit it by right-clicking on its node and selecting Open Rules from the contextual menu. This works both with high-level operators (which are represented in the operator hierarchy by folder nodes) as well as low-level operators and files (which are represened by file nodes). A rule editor window will be opened in the right side of the split pane. |
|
|
Save a rule file |
Make sure that the window you wish to save is frontmost, then select Save File from the File menu. It is not necessary to do any naming or file system navigation since this is determined by the structure of the operator hierarchy. |
|
Soar Complete |
Visual Soar has the ability to auto-complete (in a unix tab-completion type fashion) certain attribute or values in productions. To access this feature, start typing in a production when you are to a point of entering an attribute name or enumeration value. Hit ctrl-enter to see if VisualSoar can auto-complete the attribute or value for you. Alternatively, you can select Soar Complete from the Soar menu in the rule window. |
|
Check rules againt DataMap content |
First make sure that the data map for the rules you want to check is complete (See Create DataMaps). Select Check Productions Against DataMap from the Soar menu. Any errors will be reported in the feedback window, where double-clicking will take you to the point of the error. |
|
Save all rule files |
Select Save from the File menu in the main window. |
|
DataMaps do not need to be created explicitly since they are created by Visual Soar when the project is created, or when new high-level operators are created. A DataMap is a representation of the range of possibilities for working memory. Any structure that an agent's productions create or test against should be present in the appropriate DataMap. To open the DataMap, right-click on either the root node (the topmost one, which is named for the agent) or any other high-level operator in the operator hierarchy. Select Open DataMap from the contextual menu. |
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First, open the data map as you did when you first created it. Initially, the data map will have a root node with the name of the state it pertains to. From this point, right click on the root node and select one of the five different types of Working Memory Elements to add. They are: Add Identifier..., Add Enumeration..., Add Integer..., Add Float... and Add String.... You will be prompted to give the attribute a name and specify any constraints for the WME's value. Keep in mind that only Identifiers may have other WMEs as their values. Therefore, only Identifier nodes may have children. Note: Working Memory Elements are triples of identifer-attribute-value. The identifer is implict, because it was one that you right-clicked on, so now you are specifying the attribute-value pair. If you want the value to be equivalent to another one in Working Memory see Linking Values. After creating the desired structures in the data map, it can be edited by right-clicking on nodes to produce a context menu. From the context menu, attributes can be renamed by selecting the Rename Attribute... item, or deleted by selecting the Delete Attribute... item. The value can be edited if possible by selecting Edit Value(s).... |
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Attributes can be linked by ctrl-shift dragging attribute-values to the desired place in the datamap. If a link is made to a primitive WME (anything besides an Identifier) it's behavior is the same as making an independent copy. However, if a link is made to an identifier, the name of the link and original node will be intependent, but their children will be shared. |
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Source an agent into the TSI |
Visual Soar trys its best to make sure every rule file in the project gets source'd into the TSI if you point it at your <agent>.soar file that exists at the same directory level as your <agent>.vsa file. If for some unexplained reason the source-ing gets out of date, or is wrong. Select Save from the File menu in the main window. To bring it up to date. |
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Exit VisualSoar |
Select Exit from the File menu. |
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Find a text string |
If you wish to search a specific file, open that file (see Edit Rule Files) and select Find... from the Search menu. Either way, a dialog will be presented which will allow you to choose the string to seach for, as well as several searching options. Additionally, for a file-specific search, Find Again in the Search menu can be used to repeat the previous search. |
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Replace a text string |
Basically just like doing a find, except the dialog will contain an additional field in which you can enter the string for the replacement. Replacements can be done one at a time, or for the entire document. |
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Find a string in the project |
If you want to all instances of a string in your files, select Find In Project... from the Search menu in the main window. Type in the string you wish to find and click on Find. |
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Link an operator |
First off, what does it mean for an operator to be linked? A linked operator is one that produces a new state, but does not define the behavior for that state, because the behavior of that substate is defined elsewhere in the system. But, the linked operator does have it's own set of proposals. How you link operators is by selecting a high-level operator that you want to link and drag it with the link action (ctrl-shift) to the parent of where you want the new linked operator to go. Only high-level operators can be linked. |
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Move an operator |
To move an operator, select an operator you wish to move, then drag it and drop it onto the new desired parent. If the operator was high-level, it's view of the datamap is updated so that the superstate will point to the new superstate, but all other links are unchanged. It is your reponsibility as the user to update the links as needed. |
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Export an operator |
To export an operator, select the operator you wish to export from. That operator and its children will be exported and can be imported into another project. Linked operators cannot be exported and thus are converted to low-level operators. Right-click on the parent and select Export. The exported operators are placed in a file called <operator-name>.vse. |
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Import an operator |
To import operators that you exported from another project. Select the parent of where the new set of operators will be imported from. Right-click on the parent and select Import from the context menu. Select the .vse file that was produced from the export and click on Open. Note: to guarentee the imported operators will work in the new system the features from the old datamap are associated with operators. It is your responsibility to update the features from the operators old datamap to features of the new datamap. |
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Check Children Against the DataMap |
To check all the children productions against the DataMap, right-click on the parent and select Check Children Against DataMap. |
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Check All Productions Against the DataMap |
To check all the productions against the DataMap, select Check All Productions Against DataMap from the main window. Note: files and operators with names starting with a "_" will not be checked against the DataMap. |
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Certain aspects of visual soar's behavior can be changed, how you change them is by selecting Preferences... from the Edit menu in the main window Preferences currently control
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Insert A Template |
Templates are general layouts for common productions. Templates are just files in which $operator$ and $super-operator$ are replaced with the corresponding current operator name and super-operator name. You can insert a template by selecting the template from the Insert Template menu in the rule editor. If you don't see the desired template or any templates at all, check the template folder in the your preferences. |
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Copy or Move Attribute-Values in the DataMap |
You can copy or move one attribute selecting an attribute value and dragging (move) or ctrl-dragging (copy) to its new parent. Note: Contigous features can be copied onto the clipboard and pasted onto a new parent through the Edit menu in the datamap window. The semantics of this operation are slightly different than the dragging copy for identifiers, for which a new identifier is created. Whether this is a bug or not has yet to be determined. |


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--- title: Israel shot 140 date: 2004-05-20T00:00:00.000Z filepathOriginal: photos/IMG0211.jpg filepathThumbnail: photos/IMG0211.thumbnail.jpg filepathPreview: photos/IMG0211.preview.jpg ---
Givat Shmuel: Champ looking very cute on her chair