{{ post.excerpt }}
--- layout: page front: true title: Project EPIC - Empowering the Public with Information in Crisis tagline: Empowering the Public with Information in Crisis js: homepage.js css: homepage.css ---
Project EPIC launched in September 2009 and is supported by a $2.8M grant from the US National Science Foundation. It is a multi-disciplinary, multi-university, multi-lingual research effort to support the information needs by members of the public during times of mass emergency. In this age of social media, we bring our behavioral and technical knowledge of computer mediated communication to the world of crisis studies and emergency response. As researchers, we are committed to careful study of socio-technical transformation and building human-centered computation. In addition to empirical observational study that requires new ways of studying massive wide-scale coordination across the internet, we conduct action research and employ participatory design oriented approaches. We aim to look beyond today’s state of the art and anticipate future socio-technical change.


nips nips2007 nips2007-149 nips2007-149-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Marco Barreno, Alvaro Cardenas, J. D. Tygar
Abstract: We present a new analysis for the combination of binary classiﬁers. Our analysis makes use of the Neyman-Pearson lemma as a theoretical basis to analyze combinations of classiﬁers. We give a method for ﬁnding the optimal decision rule for a combination of classiﬁers and prove that it has the optimal ROC curve. We show how our method generalizes and improves previous work on combining classiﬁers and generating ROC curves. 1
[1] Foster Provost and Tom Fawcett. Robust classiﬁcation for imprecise environments. Machine Learning Journal, 42(3):203–231, March 2001.
[2] Peter A. Flach and Shaomin Wu. Repairing concavities in ROC curves. In Proceedings of the 19th International Joint Conference on Artiﬁcial Intelligence (IJCAI’05), pages 702–707, August 2005.
[3] Tom Fawcett. ROC graphs: Notes and practical considerations for data mining researchers. Technical Report HPL-2003-4, HP Laboratories, Palo Alto, CA, January 2003. Updated March 2004.
[4] J. Neyman and E. S. Pearson. On the problem of the most efﬁcient tests of statistical hypotheses. Philosophical Transactions of the Royal Society of London, Series A, Containing Papers of a Mathematical or Physical Character, 231:289–337, 1933.
[5] Vincent H. Poor. An Introduction to Signal Detection and Estimation. Springer-Verlag, second edition, 1988.
[6] D. J. Newman, S. Hettich, C. L. Blake, and C. J. Merz. UCI repository of machine learning databases, 1998. http://www.ics.uci.edu/∼mlearn/MLRepository.html.
[7] I. Mierswa, M. Wurst, R. Klinkenberg, M. Scholz, and T. Euler. YALE: Rapid prototyping for complex data mining tasks. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2006.
[8] L. Breiman. Bagging predictors. Machine Learning, 24(2):123–140, 1996.
[9] Y. Freund and R. E. Schapire. Experiments with a new boosting algorithm. In Thirteenth International Conference on Machine Learning, pages 148–156, Bari, Italy, 1996. Morgan Kaufmann.
[10] Thomas G. Dietterich. Ensemble methods in machine learning. Lecture Notes in Computer Science, 1857:1–15, 2000.
[11] Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics, 26(5):1651–1686, October 1998.
[12] Yoav Freund, Raj Iyer, Robert E. Schapire, and Yoram Singer. An efﬁcient boosting algorithm for combining preferences. Journal of Machine Learning Research (JMLR), 4:933–969, 2003.
[13] D. H. Wolpert. Stacked generalization. Neural Networks, 5:241–259, 1992. ˘
[14] Saso D˘ eroski and Bernard Zenko. Is combining classiﬁers with stacking better than selecting the best z one? Machine Learning, 54:255–273, 2004. 8


To stay up to date on my work, please visit my GitHub. Below are some of my most recent projects.
- My first project was a simple one, using HTML to tell the online world "hello". Click here to see this project.
- Cupcake Shop - I used HTML and CSS (in particular floats and border boxes) in this project. Check it out.
- Animal Shelter - This was created with my classmate Darien West. We used HTML and CSS (in particular columns) with this project. Here it is: https://colchapm.github.io/animal-shelter/.
- My Resume - I used HTML and CSS to create this. View it here.
I know my projects may not blow you away at this point, but I have learned a lot in my first three weeks of Epicodus. Please revisit over the next 10 months to see how I progess.


|
rpc.hpp 0.8.1
Simple RPC Header-Only Library
|
As rpc.hpp
is a header-only library, you only need to install the header files to your system.
This can be done by cloning the project's main
branch or downloading it as an archive from GitHub. Once you have the files, you may copy the contents of the include
directory to your system or user's include path, or to the relevant place in your project's directory.
You may also install the headers by cloning the repository and running the following commands (this will only install nlohmann/json adapter see Build Options on how to enable more):
CMake version 3.16 or newer is required for this method, see below for instructions to install CMake if it is not already installed.
If you are looking to contribute to rpc.hpp
, or just want to run the tests/benchmarks, you will need to make sure that you can build the project and its test suite.
While rpc.hpp
is a header-only library, the project relies on using a buildsystem to perform certain tasks. It is therefore required that CMake (version 3.16 or newer) is installed on your machine and available on your $PATH
to build the project.
Additionally, rpc.hpp
requires at least one C++ compiler that fully supports C++17 or newer:
Linux/macOS/BSD
gcc
>= 7clang
>= 5Windows
cl.exe
) >= 19.14 (Visual Studio 2017 15.7 or newer)On Windows you will have to install Visual Studio 2017 or newer. You may install the full IDE with the C++ "Workload" selected or simply install the standalone build tools instead.
These development dependencies can be installed in the following ways, depending on your operating system (replace gcc
w/ clang
if desired):
Arch / Manjaro
CentOS 7 / RHEL 7
CentOS 8+ / Fedora 33+ / RHEL 8+
Debian 10+ / PopOS/Ubuntu 18.04+
FreeBSD 12+
OpenSUSE / SLES
Windows - Chocolatey
Windows - Scoop
While not strictly required, the adapter headers are considered a core part of the library and therefore should build without issue after any code change, and should be tested.
(NOTE: if the community ends up creating a lot of adapters, this may change)
The libraries needed to build the current adapters are:
For building the unit tests, there are additional libraries required:
Building the benchmarks also requires one library:
These dependencies are installed via vcpkg (a submodule of this project)
From the project root:
vcpkg
Linux/macOS/BSD
Windows
NOTE: The above command can be altered based on your needs:
-G Ninja
may be omitted to use the system default make system-D BUILD_ADAPTER_BOOST_JSON=ON
could be omitted or set to =OFF
)BUILD_ADAPTER_NJSON
is required for testing| Option | Description |
|---|---|
BENCH_GRPC | Build gRPC server and client for benchmark comparison |
BENCH_RPCLIB | Build rpclib server and client for benchmark comparison |
BUILD_ADAPTER_BITSERY | Build the adapter for Bitsery |
BUILD_ADAPTER_BOOST_JSON | Build the adapter for Boost.JSON |
BUILD_ADAPTER_NJSON | Build the adapter for nlohmann/json (ON by default) |
BUILD_ADAPTER_RAPIDJSON | Build the adapter for rapidjson |
BUILD_BENCHMARK | Build the benchmarking suite |
BUILD_EXAMPLES | Build the examples |
BUILD_TESTING | Build the testing tree (ON by default) |
CODE_COVERAGE | Enable coverage reporting |
GENERATE_DOXYGEN | Generate Doxygen documentation from comments |
NOTE:
BUILD_BENCHMARK
requires BUILD_TESTING
BENCH_GRPC
and BENCH_RPCLIB
require BUILD_BENCHMARK
GENERATE_DOXYGEN
and CODE_COVERAGE
should only be defined when doing a documentation or coverage build, respectivelyTo build the tests, make sure your build environment is set up. Also make sure that the BUILD_TESTING
option is set in your CMakeCache.txt
.
NOTE: The test server will have to be running for the tests to succeed. You could run it in a separate terminal session, or add tests/test_server &
at the beginning of the ctest
command below. The tests will successfully kill the server on completion.
From the project build directory run:


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============= Meeting 24-Apr-2012 =============
11.30am Progress and Charter [1] review *Greg*
What next? How to build on EPICS V4. *Bob*
EPICS V4 Process. *Greg*
Publication of the process we use, and clarification of terminology [1]
Follow up groups initial planning
Documentation standards *Greg*, *Timo*
12.00pm License. get this nailed down.
Which license and copyright files specifically
Where are they housed
Source code header.
12:30pm Lunch - Stanford
02.00pm Provider identification.
02.30pm Review, AIs, Resolutions.
03.00pm Refactor existing services for new pv* Java versions.
------------------------ Minutes ----------------------------
Present: BD, DH, GW, MK, TK, AM, AJ,DC,RL,MD
Scribe: MD
************
NEW TOPIC: Save Set Normative Type
************
Two normative types were discussed in this serssion - one to capture save sets and one to capture archive data.
A save set is a set of Channels at a point in time.
Arcvhive data is a single change over time.
These two types were derived from a RaggedTable - basically a list of any scalar or array of data types.
these will appear in the appendix of the current draft.
Multi-channel array should be revisited as a result of this.
************
NEW TOPIC: Charter Deliverables
************
************
AI on Marty and Matej by end of June: Performance analysis and document of results
************
************
NEW TOPIC: Date of next meeting
************
July 16-18, @Diamond.
************
NEW TOPIC: V4 Process
************
AJ: Do you envisage that V4 replaces V3 IOC?
BD: V4 probably won't replace V3 IOC, but it may replace CA.
MK: Once pvIOCCpp is done, it could sit on the IOC above a V3 database, and provide areaDetector images via V4 NT types.
BD: V3 records that produce V4 types gives a foundation to go fwd.
AJ: pts out that v3 helps us in creating an environment that is helpful to create data acq support, by creating client specific filter to your channel names so client can say "i don't want updates to this signal at more than 5hz".
BD: You can also create a region of interest on an image.
MK: V4 has something like that.
DC: [V4 may not be the best model for the beamline data acq problem, so better look at the problem domain in order to inform the model]
BD: +1. Maybe V4 fits 60, or 80%
BD: Asks DC if he is willing to do a feasibility study to look at suitability of V4 for beamline control and data acq and analysis.
GW: What characterizes beamline control and data acq and analysis?
BD: V. large [50 GByte] data samples, 10000s of images, that must be analysed and graphed in 2 seconds!!!
DC: Detector technology has increased so far, ...
BD: And also that the technology is in flux. Typical data rates are going us so far. After detector and beam technology goes up, then control becomes the critical path factor, so [Ev4 has to address that].
DC: The different aspects of the new problem have islands of solutions [BD: so that needs a new model for unifying the solutions].
************
AI on BD by July meeting: Examine the emerging beamline problem domain, and determine if there is a suitable scope for solution by a process like that done by EPICS V4. Working with DC and Mark Rivers.
Suggested that this is an item of discussion at the July EPICS V4 meeting. AI is to produce a proposed charter for such a group. Early Charter version should include Scope, and success criteria at least, but probably not deliverables.
************
So, next f2f should have beamline guys, to look at the proposed scope and commit time.
Lunch
************
NEW TOPIC: License
************
RD: What found from Legal Dept.
Copyright notice SHOULD (not must) go in every file. Should go togther with a reference to a License.
A License file MUST be distributed with any distribution. A reference MUST be made to the local licesne file
in each file of the distribution after unpacking. There may additionally be a reference to remote License file
by URL.
************
RESOLUTION: We shall use the EPICS License, from the EPICS Web site.
************
The use of the EPICS License implies that we have to include the EPICS License file in our distribution tars. That implies we have to incude the EPICS License file in our merc repos.
The header of each file must then include, at the BOTTOM of the header:
Java/C++ source
/*=========
Abs: One sentence description of the function of the file
Auth: Author name, dd-mmm-yyyy
Mod: Modifiers name, dd-mmm-yyyy
What was done in the modification
-----------------------
Copyright: < Write 1 line, of the form "Copyright, YYYY, Institution" >
License: See License of EPICS Version 4 contained in the file named LICENSE.txt
that is part of each distribution. That file is also available at
http://epics-pvdata.sourceforge.net/LICENSE.txt.
==========*/
/**
package or class description
*/
The institution part of copyright should be decided by each participating institution or individual.
AI on GW: Devise a find command to prepend such a header to each source file.
RESOLUTION: Each EPICS V4 developer should fill in this header when visiting a file.
************
NEW TOPIC: Provider Identification
************
The problem:
The pvAccess client knows the list of providers that is available for it to use. Our problem is that it for any given channel, it doesn't know which provider it should use. Since EPICS V4 allows pvAccess to be used to get V3 record data directly from a v3 IOC (using ...) then it becomes possible for both CA to reply to broadcasts (on the CA port) and pvAccess to reply.
MK: Choices for solving the problem above:
1. Client specifices provider. No automatic mechanism, client simply specifies provider. If the client specifies the wrong provider, the connection simply times out; no second provider is tried.
2. Client does NOT specify provider. A name resolution request [UDP broadcast] is made on both provider ports. More than one reply may be received where each implies a different provider. Specifically, this will happen when a channel is hosted by an V3 IOC that has both a V3 and V4 server on it. The client would then connect on the provider which answered first. Other policies could be implemented.
3. Client gets the provider from the directory service before connecting to the channel on the provider given.
4. Numbers 1 to 3 above may be used, as identified by a "policy." Client does NOT specify a provider initially, the default provider works out which provider should be used (like ca or pvAccess) by implementing a policy.
[ Discussion
MK: Client has to specify provider when connecting to a channel. Parallel searching multiple providers may cause trouble when multiple providers respond.
RL: Clients side could configure priorities for providers, allowing the client to always determine the provider to choose.
GW: That would introduce an additional delay, as the client has to wait for answers.
RL: Client would have to connect to the first responder, then close and reconnect if a higher priority response comes in.
GW: What if the client started an operation through the low priority provider?
RL: Reconnect anyway.
RL: There should be a layer inbetween application and pvAccess client, that is able to find out the provider to use, either by querying a name server, or by filling in a default provider.
GW: The directory service should act as a name service, responding with the provider and IP/port information.
]
Conclusion:
AI on DH by 29-Apr-2012: Write proposal for provider resolution.
DH and RL will write up the requirements and design for provider resolution.
Meeting ends.


public class MultiSelectionRectangle extends java.lang.Object implements IKineticShapeWrapper
KineticEngine
which is used
to capture movement of the user's mouse. The movement selects
a boundary within which we will later be looking for boxes.| Constructor and Description |
|---|
MultiSelectionRectangle() |
| Modifier and Type | Method and Description |
|---|---|
Node |
getMasterNode()
Gets the master node.
|
Vector2d |
getOriginalMousePosition() |
Box2d |
getSelection()
Returns the box (position and size) of the current selection.
|
void |
reset() |
void |
setOriginalMousePosition(Vector2d position)
Sets the starting point of a selection.
|
void |
updatePath(Vector2d left,
Vector2d up,
Vector2d right)
Updates the rectangle with a new mouse position somehow.
|
public Node getMasterNode()
IKineticShapeWrapper
getMasterNode
in interface IKineticShapeWrapper
public Vector2d getOriginalMousePosition()
public void setOriginalMousePosition(Vector2d position)
public void updatePath(Vector2d left, Vector2d up, Vector2d right)
Updates the rectangle with a new mouse position somehow. Use this method when user moves their mouse while still holding the left mouse button.
A little bit of "magic" is used here that even us don't understand anymore... This should probably be made more clear (and complex)
public Box2d getSelection()
public void reset()


Install and import¶
PyTorch¶
You can manually download the PyTorch gnn
from GitHub
>>> git clone https://github.com/mtiezzi/torch_gnn.git
and add the files to your project.
Tensorflow¶
Install the current release of Tensorflow gnn
with pip
:
$ pip install gnn
To upgrade to a newer release use the --upgrade
flag:
$ pip install --upgrade gnn
If you do not have permission to install software systemwide, you can
install into your user directory using the --user
flag:
$ pip install --user gnn
Alternatively, you can manually download gnn
from GitHub
>>> git clone https://github.com/mtiezzi/gnn.git
and add the GNN.py
(and optionally gnn_utils.py
) file to your project.
To start using the modules, you have to import them:
>>> import gnn.GNN as GNN
>>> import gnn.gnn_utils


Long cycling experiments performed at a constant charge/discharge current of C/2 between 1.2 and 2.5 V versus Li/Li +. Two LTO electrodes, one composed of VGCF–COOH (▪) and the other of a mixture of VGCF–COOH and CNT–COOH ( ), are compared. Full and empty characters represent charges and discharges, respectively.


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Malandriner Links
Una colección curada de enlaces para ayudarte en el desarrollo web con recursos de Web Reactiva y La Selecta Newsletter
Este es un proyecto de Antonio Arjona
Una colección curada de enlaces para ayudarte en el desarrollo web con recursos de Web Reactiva y La Selecta Newsletter
Este es un proyecto de Antonio Arjona
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Quality Engineer & Software Developer for Web Appications
Use code SELFCARE to access any courses for free on subjects like design, lettering, photography, and coding.
An intensive challenge for all levels of coders.
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Online community of high school hackers & makers around the world, & network of student-led coding clubs.
Kano invented the first make-your-own computer for all ages, the Kano Computer Kit, in 2014. Make a computer, learn to code, play.
JavaScript lessons that unlock flash cards for further study.
Teaches programming concepts for absolute beginners with flashcards, fill in the blank and challenges.
College-level community-developed OER texts/courses covering a range of subjects, including science, history and literature.
Activities and quizzes for younger kids.
Large collection of courses, lectures, degree programs, and certifications.
Free taster courses aimed at those considering Open University but everyone can access it. Adult level, but some e.g. nature and environment courses could well be of interest to young people.
Online learning courses in a variety of technical fields. Free for the month of April!
Kid-friendly stories curated by Radiolab (the popular NY Public Radio podcast)
For those revising at GCSE or A level. Tons of free revision content. Paid access to higher level material.
All sorts of engaging educational videos.
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20+ hours of free live, online instruction each week led by expert instructors with experience in the course topic, as well as familiarity with virtual instruction. Classes refresh weekly, with age-appropriate options for grades K-12.
Educational online JavaScript game. Code your way through dungeons, prove your skills.


WITNESS LIST Finance Committee January 27, 1997-9:00A Budget/Baylor College of Medicine On: Butler, William T. (Baylor College of Med.), Houston DeBakey, Michael E. (Baylor College of Med.), Houston Feigin, Dr. Ralph D. (Baylor College of Med.), Houston Budget/Public Comm/Junior Colleges On: Anthony, Dr. John (TACC), Austin Dovalina, Ramon H. (Laredo Comm. College), Laredo Garcia, Dr. Rey (TACC), Austin Michaels, Dennis F. (McLennan Comm. College), Waco Moore, Della May (TCCA/ACCTA), Austin Nelson, Dr. Scott A (TCCTA), Kingwood Reed, Shirley A. (South TX Comm. College), McAllen Wenrich, Bill (TACC), Austin Word, Billy (Southwest TX Jr College), Uvalde Registering, but not testifying: On: Easter, Glenda H. (TCCTA), Austin Budget/Public Testimony On: Zucker, Dr. Charles (TX Faculty Association), Austin Budget/TTU & TTUHSC On: Haragan, Donald R. (TTU), Lubbock Montford, John T. (TTU/TTUHSC), Lubbock Registering, but not testifying: On: Brunjes, Jim (TTU), Lubbock Cavin, Elmo M. (TTUHSC), Lubbock Budget/TX A&M University System On: Bennett, G. Kemble (TEExtension Service), College Station Bowen, Ray M. (TAMU), College Station Cain, Randy C. (TX Fire Chiefs Assc), Austin Carpenter, Zerle L. (TAExtension Service), College Station Cole, James S. (BC of Dentistry), Dallas DePaola, Dominick P. (BC of Dentistry), Dallas Furgason, Robert R. (TAMU - Corpus Christi), Corpus Christi Haden, Clovis R. (TEExperiment Station), College Station Hiler, Edward A. (TAExperiment Station), College Station Hines, Charles A. (Prairie View A&M U), Prairie View Ibanez, Manuel L. (TAMU - Kingsville), Kingsville Jennett, Charles (TAMIU), Laredo Lindsay, Richard (TAMUS), College Station McCabe, Dennis P. (Tarleton State U), Stephenville Morris, Jerry D. (TAMU - Commerce), Commerce O'Connor, T. Michael (TAMUS), Victoria Smith, Elvin E. (TAMUHSC), College Station Sullivan, Dick (Firemen's/Fire Marshals), Austin Thompson, Barry B. (TAMUS), College Station Vandelune, Jean L. (TX Food&Fibers Comm.), Dallas Verett, Steve (TX Food&Fibers Comm.), Dallas Registering, but not testifying: On: Alonzo, Jr., Arturo (TEExtension Service), College Station Barnes, Gary (West TX A&M University), Canyon Beckham, Joan C. (TAMU - Texarkana), Texarkana Beverly, John (TAExperiment Station), College Station Bugh, Don (TX Transportation Inst.), College Station Cain, Delmar (TAMUS), College Station Cantrell, Carol J. (TEExperiment Station), College Station Crundale, Steven (TAMU - Kingsville), Kingsville Davis, Walter (Panhandle - Plains Mus), Canyon Dyck, Walter P. (TAMUHSC), Temple Eugster, K. (TVMDL), College Station Florez, Vi (TAMU - Galveston), Galveston Gaston, Jerry (TAMU), College Station Graham, Jerry W. (Tarleton State U), Stephenville Hensley, Stephen (TAMU - Texarkana), Texarkana Hull, James B. (TX Forest Service), College Station Kale, Tom D. (TAMUS), College Station Kirby, Robert (TAMU - Kingsville), Kingsville Krumm, William B. (TAMU), College Station Lee, J. Charles (TAMUS), College Station Long, Russell L. (WTAMU), Canyon Moctezuma, Jose D. (TAMIU), Laredo Morrow, Charles E. (TAMU - Commerce), Commerce Nunley, Gary (Animal Damage Control), San Antonio Playter, Robert F. (College of Vet Medicine), College Station Polis, James W. (TAMIU), Laredo Richardson, Dr. Herbert (TX Transportation Inst), College Stati Shadduck, John A. (College of Vet Medicine), College Station Venuti, Doug (TAMUHSC), College Station Vroomen, Charles R. (College of Vet Medicine), College Station Budget/University of Houston System On: Aguirre, Jr., Eduardo (UOHS), Houston Chu, Paul (UOH), Houston Goerke, Dr. Glenn A. (UOH), Houston Hobby, William P. (UOHS), Houston Staples, William A. (UOH - Clear Lake), Houston Registering, but not testifying: On: Anderson, Chaney (UOH - Downtown), Houston Beran, Wayne (UOH - Victoria), Houston Bright, Linda (UOH), Houston Castillo, Max (UOH - Downtown), Houston Dotter, Michelle (UOH - Clear Lake), Houston Ehardt, Thomas (UOH - System Admin.), Houston Hale, James T. (UOH), Houston Haynes, Dr. Karen S. (UOH - Victoria), Houston Morian, Beth (UOHS), Houston


Email Address: uzoamaka.anyanwu@com
Sex: Female
No of Purchases : 2 Cars
No of Reported Ads: None
| Manufacturer | Date Added | Price | Car State | Availability | Actions |
|---|---|---|---|---|---|
| Toyota S-Series 3001 | 03/01/2016 | N12,000,000 | Brand New | edit delete | |
| BMW Series 2000 | 03/05/2019 | N1,000,000 | Used | edit delete | |
| Kia Cerano 2013 | 27/04/2019 | N5,000,000 | Brand New | edit delete | |
| Honda Pilot 001 | 03/01/2016 | N2,600,000 | Used | edit delete |
| Manufacturer | Date Added | Price | Car State | Availability | Actions |
|---|---|---|---|---|---|
| Toyota S-Series 3001 | 03/01/2016 | N12,000,000 | Brand New | edit | |
| Toyota S-Series 3001 | 03/01/2016 | N12,000,000 | Brand New | edit |
Fill in the required fields in the form


public override void OnSecuritiesChanged(SecurityChanges changes) { foreach (var security in changes.AddedSecurities) { Debug($"{Time}: Added {security.Symbol}"); } foreach (var security in changes.RemovedSecurities) { Debug($"{Time}: Removed {security.Symbol}"); if (security.Invested) { Liquidate(security.Symbol, "Removed from Universe"); } } }
def OnSecuritiesChanged(self, changes: SecurityChanges) -> None: for security in changes.AddedSecurities: self.Debug(f"{self.Time}: Added {security.Symbol}") for security in changes.RemovedSecurities: self.Debug(f"{self.Time}: Removed {security.Symbol}") if security.Invested: self.Liquidate(security.Symbol, "Removed from Universe")
The OnSecuritiesChanged
event notifies the algorithm when assets are added or removed from the universe. This can be due to changes in the Universe constituents, or an explicit call to the RemoveSecurity method.
The event is triggered immediately when the asset is removed from the universe; however the data feed for the asset may remain active if the algorithm has open orders.
For more information, see how to use Security Changed Events.


This check uses Python 2 that is deprecated and will be soon discontinued.
Please follow the migration guide in order to migrate it to Python 3.
Python version that the check command and its alert conditions will be evaluated with.
Python version that the alert condition will be evaluated with. This value is determined by the related check and cannot be adjusted per alert.


The early Bronco Ford 9" rear is an excellent upgrade for a
Wrangler YJ. The early Bronco Ford 9" has a larger ring and
pinion, larger c-clipless axle shafts, removable third member,
inexpensive locker options, and is available in a wide range ring
and pinion ratios. The Ford 9" uses a 9" ring gear where
as the Dana 35c uses a 7 9/16" ring gear. The Ford 9"
does not use a c-clip axle like the Wrangler Dana 35c used after 1989.
The early Bronco Ford 9" uses a 28 spline shaft and after market
shafts are available with 31 splines.
The Ford 9" also features a removable third member, so ring
and pinion can be set on a bench without removing the entire axle
housing. A wide range of ring and pinion ratios are available for
the Ford 9".
The only real disadvantage of the Ford 9" is the slightly lower
pinion. The Ford 9" pinion comes out lower relative to the
housing compared to Dana axles. This hurts clearance a bit and
causes a slightly larger drive shaft angle.
Preparation
The first step of prepartion was to take apart the axles and neatly
file the parts into bags. I planned on keeping the large
11"x2" drum brakes in the rear, so I made a sketch of
how the springs in the rear drums went together.
|
Pearl of wisdom: Never throw out anything during a project like
this until at least a few months after it's all done.
.
|
The next step was grinding off the spring perches and brackets.
This was done with a grinder and the rear was not nearly as difficult
as the front. After the axle was disassembled and the brackets
and perches were ground off, I took all the metal parts
I was going to re-use down to a local metal cleaning place and had them
stripped. Everything with a bearing race or machined surface in it
got chemically stripped, and the rest, like the knuckles and rear end
housing, got sandblasted.
I wouldn't recommend the sand blasting, it took a long time
to get all that bloody grit out of the axle tubes. It collected in
there on the thin film of old gear oil that was still inside. Anyway,
aside from that the results were incredible! Those parts looked
absolutely brand new - it was almost scary. The chemical stripping
process removed all the grease and rust from the carriers, spindles,
etc. without removing any uncorroded metal at all, which is important
for those kinds of parts.
Gears and Bearings
Grant Klavatalks, a local truck guru and mechanic, set up the gears
in my 9" third member and installed the LockRight locker. A that
point I wasn't interested in fooling around with gear setup, and
no one else I knew could show me how it was done, so I had a
professional do it. He found that the ring gear was badly worn,
so in went a new R&P, and out came another $300 Cdn from my
wallet. Ouch. Along with the new ring and pinion went new carrier,
pinion, and wheel bearings.
Grant was kind enough to swap the carrier in my 9" with a
four pinion model that I'll need as and when I upgrade to 31-spline
axles shafts. The holes in the stock carrier are too small to
accept the larger diameter 31-spline axle shafts.
One other thing I learned around this point about the EB 9"
is that the four studs at each end that hold the backing plate and axle
shafts on are 1/2" diameter on most axles, but that some have 3/8"
studs. This matters when buying axle shafts, so be sure you know
which you have. Mine were the 1/2" ones, FWIW.
Spring Perches
Rather than fabbing up spring perches, I bought two pairs of
adjustable clamp-type perches from Lou Feger's Racing
(p/n 20232-1) in the US. This let me get my pinion angle and
fine-tuned after the axle went into the Jeep. Since I was
doing a spring over, I just pointed the pinion at the transfer
case yoke (under load) and used a CV drive shaft.
Brackets
On the rear axle, I fabricated some shock mount brackets from
a piece of square tubing. The track bar was simply left out.
Running without the rear track bar change the on-road handling
characteristics,
but the Jeep is being built for off-road performance, not
street racing.
Rear drum brakes
The rears went together real easy. I used all new parts,
including spring kits, adjuster kits, wheel cylinders, and shoes.
I bought two lengths of hard brake line and bent them to fit between
the cylinders and the tee. Again, keeping the old parts proved to
be a good idea, as I needed the old shoes as cores to get the new
ones. The sketch of the mechanisms inside the drums was useful here,
as were pictures from the service manuals that I photocopied at
the local library.
I may go to rear discs later, but I like the idea of all the static
friction that drums can provide when you're trying to get your engine
restarted on a 45-degree slope. These drums are 11" in diameter, thanks
to the fact that I lucked out and ended up with the "big-bearing" style
3300-lb rated 9" rear. They are much larger than the 10" drums used
in my Dana 35c and later YJs use a even smaller drum that is only 9"
in diameter.
Conclusion
The installation was finished by simply hooking up the vent hose
and brake line. On a regular swap, the same drive shaft and shocks
could be used, but I was also doing a spring over axle conversion.
The details of the spring over conversion of covered in that
article. Different u-bolt plates, u-bolts, and brake hose
are required for the swap regardless of suspension changes.
The changes I made are covered in the spring over article as well.


Step1: produce transparent image by using floodfill algorithm
We check in west, east, north, south directions and replace the same color(difference < tolerance) with transparent color
Step2: We extract the border of image then simplify it by square filter
Edge finding algorithm, then use hough transform, is suitable for finding direction of image, to correct the rotation, or to process complex images.
Right click to remove a stick rectangle on the crop area


Have you ever wanted to create unique versions of datasets for each student in a class? This vignette walks through the process of setting up a simple study with a subject table and a questionnaire table.
The subjects have varying demographic attributes and are assigned to a counterbalanced condition and version of the study. Some of the demographic data is missing.
The questionnaire has a variable number of questions, answered on a 7-point Likert scale. Some of the questions are reverse-coded, indicated by the column names. There are some missing observations.
The data is set up with fixed effects for condition, version, and subject language that you can vary between students. The DV is created using a mixed effects model formula to simulate realistic random intercepts and slopes, so these data would be suitable for analysis with mixed effects models, or you can instruct students to aggregate the questionnaire data to analyse with single-level models.
A custom assignment is created for each student, where they are told the questionnaire contains scores on one of three topics, and are asked to determine if there is an effect of one factor for a subgroup of another factor. The categories chosen here are pretty arbitrary, but you can change this to make sense for your subject area.
Finally, the subject table, questionnaire table, and instructions are saved to a folder with the student ID for distribution to each student. The simulation is seeded with the student ID, ensuring that each student gets a unique, but reproducible assignment.
Some of the functions below require version 1.1.0 of faux
(add_random()
, add_between()
,
add_ranef()
and add_contrast()
). Any feedback
would be welcome.
# devtools::install_github("debruine/faux")
library(faux)
library(dplyr)
library(tidyr)
library(purrr)
library(ggplot2)
library(readr)
library(glue)
theme_set(theme_minimal())
Start your script by setting a seed that is unique to each student. Below is a useful function you can use to generate a seed from a student ID, even if it contains letters.
seed_from_string <- function(seed) {
if (is.numeric(seed)) return(set.seed(seed))
# otherwise set from characters
seed %>%
openssl::md5() %>% # turn into something with lots of numbers
gsub("[a-z]", "", .) %>% # get rid of letters
substr(1, 8) %>% # select the first 8 numbers
set.seed()
}
student_id <- "8675309J"
seed_from_string(student_id)
Now, make a table of subjects.
In this example, I’m going to choose a random number of subjects between 300 and 400.
subj_n <- sample(300:400, 1)
The function add_random()
creates the random effects
structure.
subjects <- add_random(subj_id = subj_n)
| subj_id |
|---|
| subj_id001 |
| subj_id002 |
| subj_id003 |
| subj_id004 |
| subj_id005 |
| subj_id006 |
Now add a between-subject factor of gender with three levels: “female”, “male”, and “nonbinary”. If you set the probability of each as proportions, they will be randomly sampled.
subjects <- subjects %>%
add_between(gender = c("female", "male", "nonbinary"),
.prob = c(.3, .6, .1))
| gender | n |
|---|---|
| female | 129 |
| male | 215 |
| nonbinary | 52 |
It’s realistic for some people to not want to disclose their gender,
so you can use messy()
to set some proportion of the
gender
column to NA
s.
| gender | n |
|---|---|
| female | 125 |
| male | 202 |
| nonbinary | 50 |
| NA | 19 |
Now add an age column. I’m using 18 + rpois(nrow(.), 3)
to make a distribution that’s pretty typical of undergraduate students,
but you can choose a simulation function that is relevant to your
questions. I’m also replacing 5% of the values with the word “missing”,
which will convert this to a character column because I want students to
practice dealing with non-standard missing values.
Add a between-subjects factor of language, with 70% monolingual and 30% bilingual.
subjects <- subjects %>%
add_between(language = c("monolingual", "bilingual"),
.prob = c(.7, .3))
I want condition and version to be crossed so that there’s an equal
number of subjects in each cell. Specifying both in the same
add_between()
accomplishes this.
subjects <- subjects %>%
add_between(condition = c("A", "B"),
version = c("V1", "V2"))
| condition | version | n |
|---|---|---|
| A | V1 | 99 |
| A | V2 | 99 |
| B | V1 | 99 |
| B | V2 | 99 |
Now wrap the code for making the subject table in a function. This makes it easy to make more than one subject table for a simulated study, for example, to have students practice combining tables.
You can also add other arguments that you might want to vary, like the names of the condition and version levels. Set the defaults to what we used in the example above.
make_subjects <- function(subj_n = sample(300:400, 1),
cond_levels = c("A", "B"),
vers_levels = c("V1", "V2")) {
add_random(subj_id = subj_n) %>%
add_between(gender = c("female", "male", "nonbinary"),
.prob = c(.3, .6, .1)) %>%
messy(prop = 0.05, "gender") %>%
mutate(age = 18 + rpois(nrow(.), 3)) %>%
messy(prop = 0.05, "age", replace = "missing") %>%
add_between(language = c("monolingual", "bilingual"),
.prob = c(.7, .3)) %>%
add_between(condition = cond_levels,
version = vers_levels)
}
subjects <- make_subjects()
| subj_id | gender | age | language | condition | version |
|---|---|---|---|---|---|
| subj_id001 | female | 20 | bilingual | A | V1 |
| subj_id002 | female | 19 | monolingual | A | V2 |
| subj_id003 | male | 23 | bilingual | B | V1 |
| subj_id004 | female | 21 | monolingual | B | V2 |
| subj_id005 | male | 22 | monolingual | A | V1 |
| subj_id006 | male | 24 | bilingual | A | V2 |
Next, we need to set up the questionnaire. I’m going to do this by adding the question data to the subject table. We’ll extract the questions into a separate table later, but this will make it easier to set up the DV using a mixed effects model equation.
First, we’ll add the random factor of question, randomly creating 5 to 15 question IDs. The code below adds a cross-classified random factor, where each subject sees all of the questions. See the Mixed Design Simulation tutorial to see how to add nested random factors.
quest_n <- sample(5:15, 1)
questions <- subjects %>%
add_random(quest_id = quest_n)
| subj_id | gender | age | language | condition | version | quest_id |
|---|---|---|---|---|---|---|
| subj_id001 | female | 20 | bilingual | A | V1 | quest_id1 |
| subj_id001 | female | 20 | bilingual | A | V1 | quest_id2 |
| subj_id001 | female | 20 | bilingual | A | V1 | quest_id3 |
| subj_id001 | female | 20 | bilingual | A | V1 | quest_id4 |
| subj_id001 | female | 20 | bilingual | A | V1 | quest_id5 |
| subj_id002 | female | 19 | monolingual | A | V2 | quest_id1 |
I want some of the questions to be reverse-coded, so I’m adding a
between-question factor of reversed
with levels “F” and
“R”. Here, we specify the .by =
argument to show that this
factor should vary by question. We didn’t need this in the code above
because there was only one random factor to vary over, but by default
this function varies over all random factors if there is more than
one.
I set .shuffle = TRUE
so that the questions are randomly
assigned forward and reversed values, rather than odd questions being
forward and even questions being reversed. This will require a more
sophisticated method to wrangle the resulting data, and the
randomisation means that different students’ datasets need different
code.
questions <- questions %>%
add_between(.by = "quest_id", reversed = c("F", "R"), .shuffle = TRUE)
| quest_id | reversed |
|---|---|
| quest_id1 | R |
| quest_id2 | F |
| quest_id3 | R |
| quest_id4 | F |
| quest_id5 | F |
Now we set the random effects structure. The function
add_ranef()
lets you add columns that sample values from a
normal distribution with a mean of 0 and the specified SD. If you have
example data, you can get realistic values for the random effects SDs
from a mixed effects model (see this tutorial).
Here, we’re setting the SD for the subject’s random intercept to 2, and the SDs for the random slopes of language, condition, and version to 1. We set a small, positive correlation among all of these random effect. Each time you run this function, different values from this joint distribution will be sampled.
We also add a random intercept by question to account for the fact that some questions will have higher or lower values than the mean.
Finally add an overall error term, sigma
, which will
vary by subject and question (so you can skip the first .by
argument).
Now we can calculate the DV. First, I want the fixed effects in each dataset to vary, so I’m setting the fixed effect values by sampling from -05., 0 and +0.5 for each of language, condition, and version.
Next, we add contrasts to recode the fixed factors into numbers. See the contrasts vignette for more details. For a 2-level factor, this sets the first level of the factor to a value of -0.5 and the second level to +0.5.
questions <- questions %>%
add_contrast("language", add_cols = T, colnames = "lang") %>%
add_contrast("condition", add_cols = T, colnames = "cond") %>%
add_contrast("version", add_cols = T, colnames = "vers")
Now, we can calculate the DV as the sum of the grand mean
(0
), plus the random intercepts (s0i
and
q0i
). This simulates how some subjects tend to use higher
or lower points on the scale, and some questions have higher or lower
mean values.
Next, we add the coded versions of each fixed factor, multiplied by their effect size plus the subject’s random slope for that effect. This simulates how some subjects show systematically larger or smaller effects.
Finally, we add the error term (sigma
).
For this assignment, I want the DV to be from a Likert scale, so I’m
going to convert dv
from a normal distribution to a Likert
scale with 7 points with the proportions below. The second mutate
reverses the questions that should be reverse-coded.
Here, I’m creating a quest_name
column from the
quest_id
and reversed
columns.
sample(2:3)
returns these columns in a random order. I then
unite the columns with a randomly sampled separator. This will produce
question names like F-q04
or q10 R
. While
putting information about the questions in the name isn’t great practice
for recording data, it’s unfortunately very common and dealing with it
is a skill I want my students to practice.
sep <- sample(c("_", "", "-", " "), 1)
questions <- questions %>%
select(subj_id, quest_id, reversed, dv) %>%
unite(col = quest_name, sample(2:3), sep = sep)
I then make 0.5% of the observations missing, pivot the table from long to wide format, and sample 95% of the subjects, so that the number of subjects in the subjects table doesn’t exactly match the number in the questions table, and is in a different order.
questions <- questions %>%
messy(prop = .005, "dv") %>%
pivot_wider(names_from = quest_name, values_from = dv) %>%
slice_sample(prop = .95)
Now wrap the code for making the questionnaire table in a function. You can use this to make several questionnaires per student to practice joining tables.
This code needs the subjects table as an argument. You can add the
other randomised values as arguments. I also added
likert_prob
as an argument so you can easily customise the
number of points on the Likert scale and their relative proportions.
# randomise between students
make_quest <- function(subjects,
quest_n = 5:15,
sep = c("_", "", "-", " "),
lang_effect = c(-0.5, 0, 0.5),
cond_effect = c(-0.5, 0, 0.5),
vers_effect = c(-0.5, 0, 0.5),
likert_prob = c(.05, .1, .2, .3, .2, .1, .05)
) {
# sample values
quest_n <- sample(quest_n, 1)
sep <- sample(sep, 1)
lang_effect <- sample(lang_effect, 1)
cond_effect <- sample(cond_effect, 1)
vers_effect <- sample(vers_effect, 1)
subjects %>%
add_random(quest_id = quest_n) %>%
add_between("quest_id", reversed = c("F", "R")) %>%
add_ranef("subj_id",
s0i = 2,
s_lang = 1,
s_cond = 1,
s_vers = 1,
.cors = 0.2) %>%
add_ranef("quest_id", q0i = 1) %>%
add_ranef(sigma = 3) %>%
add_contrast("language", add_cols = T, colnames = "lang") %>%
add_contrast("condition", add_cols = T, colnames = "cond") %>%
add_contrast("version", add_cols = T, colnames = "vers") %>%
mutate(dv = s0i + q0i + sigma +
(s_lang + lang_effect) * lang +
(s_cond + cond_effect) * cond +
(s_vers + vers_effect) * vers,
dv = norm2likert(dv, prob = likert_prob),
dv = ifelse(reversed == "R", abs(dv - 8), dv)
) %>%
select(subj_id, quest_id, reversed, dv) %>%
unite(quest_name, sample(2:3), sep = sep) %>%
messy(prop = .005, "dv") %>%
pivot_wider(names_from = quest_name, values_from = dv) %>%
slice_sample(prop = .95)
}
questions <- make_quest(subjects)
| subj_id | F-quest_id1 | R-quest_id2 | F-quest_id3 | R-quest_id4 | F-quest_id5 | R-quest_id6 | F-quest_id7 |
|---|---|---|---|---|---|---|---|
| subj_id267 | 4 | 5 | 1 | 6 | 5 | 6 | 2 |
| subj_id098 | 5 | 1 | 6 | 2 | 4 | 3 | 5 |
| subj_id023 | 5 | 5 | 7 | 5 | 6 | 6 | 2 |
| subj_id259 | 5 | 1 | 3 | 4 | 4 | 7 | 3 |
| subj_id249 | 7 | 2 | 7 | 4 | 5 | 3 | 5 |
| subj_id008 | 6 | 5 | 6 | 3 | 6 | 5 | 3 |
I also want each student to have a different research question to answer with these data.
First, write the text you want to give to the students. You can use
fancier methods for this, like parametrised
R Markdown reports, but this is a simple and effective strategy. Put
variables you want to randomise inside curly brackets, and we’ll sample
those and insert the using glue::glue()
.
research_question_text <- paste(sep = "\n\n",
"=== Reproducible Report for {student_id} ===",
"Your questionnaire measures {topic}. Your research question is to determine if the {topic} score differs by {iv} for the subset of the sample where {subset} is {level}.",
"The {quest_n} {topic} questionnaire items are on a scale from 1 (low) to 7 (high), but some of the items need to be reverse-coded. This is indicated by the letter R in the question column name. You create the {topic} score by summing the questions.",
"Watch out for missing data. You can decide whether to omit subjects with missing data or replace the missing data; just explain your choice and its consequences in the report.",
"The report should be written like a summary document for your PI. You don't need to show your code in the rendered report. Include summary tables and/or plots with subject demographics from both the full data set and the subset you'll analyse. Visualise the relationship of interest. Conduct a GLM analysis to answer the research question above. Finally, do a power analysis to determine the sample size you would need to have {power}% power to detect a 0.5-point difference between the levels of {iv} with an alpha criterion of {alpha}."
)
You can save this to an external file if you want and read it from there. In this way, you can create more than one set of template instructions and also randomly assign that.
# write to a template file
write(research_question_text, "template_instructions.txt")
Now define the variables from the text above. I want the
iv
and subset
to be two different factors from
the list of “language”, “condition”, and “version”. Then I sample one of
the levels of the subset
factor.
I sample a topic from “stress”, “extroversion”, and “disgust”. You can choose relevant topics for your discipline, of course.
I also sample an alpha level and power for the power calculation aspect of the assessment. This reinforces a lesson I want to teach about alpha = 0.5 and target power = 0.8 being mindless defaults that we should question. Justify everything.
factors <- c("language", "condition", "version")
two_factors <- sample(factors, 2)
iv <- two_factors[[1]]
subset <- two_factors[[2]]
level <- subjects[[subset]] %>% unique() %>% sample(1)
topic <- sample(c("stress", "extroversion", "disgust"), 1)
alpha <- sample(c(.005, .01, .05), 1)
power <- sample(c(80, 85, 90), 1)
This will produce the following text.
=== Reproducible Report for 8675309J ===
Your questionnaire measures extroversion. Your research question is to determine if the extroversion score differs by version for the subset of the sample where condition is A.
The 5 extroversion questionnaire items are on a scale from 1 (low) to 7 (high), but some of the items need to be reverse-coded. This is indicated by the letter R in the question column name. You create the extroversion score by summing the questions.
Watch out for missing data. You can decide whether to omit subjects with missing data or replace the missing data; just explain your choice and its consequences in the report.
The report should be written like a summary document for your PI. You don’t need to show your code in the rendered report. Include summary tables and/or plots with subject demographics from both the full data set and the subset you’ll analyse. Visualise the relationship of interest. Conduct a GLM analysis to answer the research question above. Finally, do a power analysis to determine the sample size you would need to have 80% power to detect a 0.5-point difference between the levels of version with an alpha criterion of 0.01.
As before, wrap this code in a function.
make_instructions <- function(template,
subjects,
factors = c("language", "condition", "version"),
topics = c("stress", "extroversion", "disgust"),
... # other values you need for the template, like student_id
) {
two_factors <- sample(factors, 2)
iv <- two_factors[[1]]
subset <- two_factors[[2]]
level <- subjects[[subset]] %>% unique() %>% sample(1)
topic <- sample(topics, 1)
alpha <- sample(c(.005, .01, .05), 1)
power <- sample(c(80, 85, 90), 1)
readLines(template) %>%
paste(collapse = "\n") %>%
glue::glue()
}
make_instructions(template = "template_instructions.txt",
subjects = subjects,
student_id = student_id,
quest_n = ncol(questions) - 1)
#> === Reproducible Report for 8675309J ===
#>
#> Your questionnaire measures stress. Your research question is to determine if the stress score differs by condition for the subset of the sample where version is V2.
#>
#> The 5 stress questionnaire items are on a scale from 1 (low) to 7 (high), but some of the items need to be reverse-coded. This is indicated by the letter R in the question column name. You create the stress score by summing the questions.
#>
#> Watch out for missing data. You can decide whether to omit subjects with missing data or replace the missing data; just explain your choice and its consequences in the report.
#>
#> The report should be written like a summary document for your PI. You don't need to show your code in the rendered report. Include summary tables and/or plots with subject demographics from both the full data set and the subset you'll analyse. Visualise the relationship of interest. Conduct a GLM analysis to answer the research question above. Finally, do a power analysis to determine the sample size you would need to have 85% power to detect a 0.5-point difference between the levels of condition with an alpha criterion of 0.005.
Now you need to create a directory for the student’s files and save the subject table, question table, and instructions. I’m saving the files in a directory that contains the student ID so I can upload them to Moodle easily.
Once you’ve debugged your code above, put each step inside a function
with the argument student_id
.
random_project <- function(student_id) {
# set seed using student ID
seed_from_string(student_id)
# simulate subjects
subjects <- make_subjects()
# simulate questionnaire
questions <- make_quest(subjects)
# customise instructions
instructions <- make_instructions(
template = "template_instructions.txt",
subjects = subjects,
student_id = student_id,
quest_n = ncol(questions) - 1
)
# write files to a new directory
dir <- paste0("exam_", student_id)
dir.create(dir, showWarnings = FALSE)
readr::write_csv(subjects, file.path(dir, "subjects.csv"))
readr::write_csv(questions, file.path(dir, "questions.csv"))
write(instructions, file.path(dir, "instructions.txt"))
return(dir)
}
Now you can map over a list of student IDs to create personalised
data and research questions for each student. Here is the pattern if you
have student IDs in a table in a column called
Student ID
.


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Cargo
Breach is an Intense VR Arcade Shooter with Unique Gesture based Weapon
Mechanics. You hunt down escaped creatures in dark atmospheric
spaceship corridors. All presented in stunning AAA graphics. |
|
Cargo
Breach is the debut title of No 28 Games and harnasses the power
of these great brands.
|
FIND US ON
all right reserved No. 28 Games 2017
|


Making Docker on a Mac Easy
So you develop on a Mac huh? Docker is a great tool, but it’s only awesome out of the box on a Linux machine. Docker Toolbox does aid in setting up Docker, but to make it awesome you’ll need a few more scripts to make it feel like your running Docker natively.
I chose to use SaltStack locally to manage my mac, but you don’t have to. The samples provided are transferable to other languages and i’ll cover the underlying problems being solved, so you can implement in your own way.


| create.binding {quantmod} | R Documentation |
Internal function used in attachSymbols
to create active bindings for symbols defined in a DDB
object.
create.binding(s, lsym, rsym, gsrc, mem.cache = TRUE, file.cache = !mem.cache, cache.dir = tempdir(), envir,...)
s |
symbol name |
lsym |
function to convert to local name (legal R name) |
rsym |
function to convert to remote name (source name) |
gsrc |
corresponds to 'src' arg in getSymbols call |
mem.cache |
cache to memory |
file.cache |
cache to disk |
cache.dir |
directory to cache to/from |
envir |
environment name (character) |
... |
arguments to pass to getSymbols call |
Low level function to create bindings during initial demand-database construction.
Called for its side effect of creating active bindings to symbols.
This is code used internally by attachSymbols. User's may modify this to accomodate different systems. The upstream functions needn't maintain consistency with this interface.
Use as a guide or template.
Jeffrey A. Ryan
Mark, Roger, ?


Essencial to recover some HP during early game, while your first skill won't heal much. And you'd rather use your mana for offense.
This hero is a tanker. The strategy is simple: survive and hit. Or survive and run away. Don't forget to change your Treads as needed.
Essencial to recover some HP during early game, while your first skill won't heal much. And you'd rather use your mana for offense.
Make the best of this changing its stat. INT (blue) will improve mana recovery. STR (red) increases damage, max HP and HP recovery. AGI (green) improves your attack speed.
Evolve stout shield to this. It increases max HP and HP regeneration. It also blocks enemies's attacks. Very helpful for a tanker like Bristleback.
Yes, you can hit, and it's better if you hit faster!
Life is low most of the time? Get a Tarrasque. It improves your Max HP and HP recovery. You can leave it for later if you're OK.
You don't have a disabling skill. Until now! Use this item to stun from distance.
Slow down your enemies around you while giving them some damage! Run after them and bash them to death! Mwahaha!
Prepare your team for a fight, raising everyone's magical resistance. Only make this item if there's enough magical heroes as enemies.
Protect yourself and your friends from physical attacks. Only make this item if there's enough melee heroes as your enemies.
 Its deals bonus damage each time a unit is hit by it in the last 14 seconds.
Passive. Bristleback takes less damage from the sides and the back. Each 230 damage from the rear, Bristleback automatically uses Quill Spray of the current level.
Passive. Every time Bristleback casts a spell, his damage and movement speed are improved for some time, and it stacks!


Employer Form
Job Title
Department
Company Name
Job Location
Expected Salary
Less than 2,50,000
2.50,000-3,50,000
3,50,000-5,00,000
5,00,000-7,00,000
7,00,000-9,00,000
9,00,000-12,00,000
More than 12,00,000
JobType
Work From Home
Part Time
Full Time
Education
Job Description
Submit


Webhooks
Webhooks are a way to register client applications that are interested in certain sets of statements. Every webhook that is registered contains the client endpoint as well as filters that dictate what kind of statements the client wants and the LRS will send. For more information on this, please visit ADL LRS Webhooks.
{{ h.name }}
Filters
Delete
Id: {{ h.hook_id }}
Endpoint: {{ h.config.endpoint }}
Content-Type: {{ h.config.content_type }}
Secret: {{ h.config.secret }}
Created At: {{ h.created_at|date:"D d M Y P" }}
Updated At: {{ h.updated_at|date:"D d M Y P" }}


Instructions
You can add multiple sections to an assessment and also multiple questions to each sections.
{{ option.name }}
| Title | {{ element.title }} | Topic | {{ element.topic }} | Tags | {{ element.tags }} | Question Type | {{ element.questionType }} | Add/Remove |
|
View Question |
|
|---|
Question Groups are randomized questions of a particular category by creating a group, then adding into an assessment.


class WIZNET5K – control WIZnet5x00 Ethernet modules¶
This class allows you to control WIZnet5x00 Ethernet adaptors based on the W5200 and W5500 chipsets. The particular chipset that is supported by the firmware is selected at compile-time via the MICROPY_PY_WIZNET5K option.
Example usage:
import network
nic = network.WIZNET5K(pyb.SPI(1), pyb.Pin.board.X5, pyb.Pin.board.X4)
print(nic.ifconfig())
# now use socket as usual
...
For this example to work the WIZnet5x00 module must have the following connections:
MOSI connected to X8
MISO connected to X7
SCLK connected to X6
nSS connected to X5
nRESET connected to X4
It is possible to use other SPI busses and other pins for nSS and nRESET.
Constructors¶
-
class
network.
WIZNET5K
(spi, pin_cs, pin_rst)¶ Create a WIZNET5K driver object, initialise the WIZnet5x00 module using the given SPI bus and pins, and return the WIZNET5K object.
Arguments are:
spi is an SPI object which is the SPI bus that the WIZnet5x00 is connected to (the MOSI, MISO and SCLK pins).
pin_cs is a Pin object which is connected to the WIZnet5x00 nSS pin.
pin_rst is a Pin object which is connected to the WIZnet5x00 nRESET pin.
All of these objects will be initialised by the driver, so there is no need to initialise them yourself. For example, you can use:
nic = network.WIZNET5K(pyb.SPI(1), pyb.Pin.board.X5, pyb.Pin.board.X4)
Methods¶
-
WIZNET5K.
isconnected
()¶ Returns
True
if the physical Ethernet link is connected and up. ReturnsFalse
otherwise.
-
WIZNET5K.
ifconfig
([(ip, subnet, gateway, dns)])¶ Get/set IP address, subnet mask, gateway and DNS.
When called with no arguments, this method returns a 4-tuple with the above information.
To set the above values, pass a 4-tuple with the required information. For example:
nic.ifconfig(('<IP_ADDRESS>', '<IP_ADDRESS>', '<IP_ADDRESS>', '<IP_ADDRESS>'))
-
WIZNET5K.
regs
()¶ Dump the WIZnet5x00 registers. Useful for debugging.


---
sort_order: 20
tei_id: rdx_b5h9g.p.idp301168
annotation_count: 0
images:
small-thumbnail: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pchwk/mini-thumbnail/
json: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pchwk/info/
full: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pchwk/fs/
page: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pchwk/single-page/
thumbnail: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pchwk/thumbnail/
title: Page 20
number: 20
---
{% raw %}12{% endraw %}
{% raw %}JACOB HODGES.{% endraw %}
{% raw %}he might not shrink from his desperate{% endraw %}
{% raw %}purpose. Jacob hesitated; turning to her{% endraw %}
{% raw %}he anxiously inquired, " If it was neces¬{% endraw %}
{% raw %}sary to proceed to business?" She replied.{% endraw %}
{% raw %}" It is time that the old savage was out of{% endraw %}
{% raw %}the world." Thus stimulated and urged{% endraw %}
{% raw %}forward, he crossed the fields into an ad¬{% endraw %}
{% raw %}joining grove, whil*cne of the white men{% endraw %}
{% raw %}went forward in the road. Having over¬{% endraw %}
{% raw %}taken Mr. Jennings, he detained hirn in{% endraw %}
{% raw %}conversation till Jacob came from the{% endraw %}
{% raw %}woods and joined them. The old man{% endraw %}
{% raw %}asked him if he had been cutting wood{% endraw %}
{% raw %}from his lot? Jacob replied that he had.{% endraw %}
{% raw %}He then inquired if his gun was loaded?{% endraw %}
{% raw %}Jacob said, No. His accomplice stepped{% endraw %}
{% raw %}aside, when Jacob raised his gun, and,{% endraw %}
{% raw %}taking aim at Mr. Jennings, fired at the{% endraw %}
{% raw %}distance of ten feet. The shot struck upon{% endraw %}
{% raw %}one side of the face, near the eye, and{% endraw %}
{% raw %}glancing, cut off part of the ear. Either{% endraw %}
{% raw %}from the effect of the wound, or from{% endraw %}
{% raw %}agitation, the old man fell back to the{% endraw %}
{% raw %}ground. In the opinion ol the surgeon,.{% endraw %}
{% raw %}however, who examined the body, the{% endraw %}


Swordfish (2001) 1 1/2 stars out of 4. Starring John Travolta, Hugh Jackman, Halle Berry, Don Cheadle, Vinnie Jones and Sam Shepard. Written by Skip Woods. Directed by Dominic Sena. Rated R.
At the outset of Swordfish, John Travolta's Gabriel Shear is pontificating about the status of American cinema today.
Basically, he says, it boils down to a lack of imagination among the majority of writers.
How ironic, as Travolta seems to be describing his latest venture.
Swordfish is loud, violent and amoral. It has the audacity to justify murder and mayhem in the name of sustaining our way of life.
And how does Travolta's Gabriel plan to do this? By robbing billions from his own government and using the funds to out-terrorize terrorists.
Swordfish is a very cynical movie. It relies on an audience's perception of our leaders as ineffectual and duplicitous and on terrorists as non-human, faceless entities not worthy of compassion or consideration.
The movie's plot is preposterous with enough illogical leaps that if the film ever slowed down, you'd actually see how ridiculous it all is. This is a live-action Road Runner cartoon, moving so quickly that it's over before you can catch your breath to ask any reasonable questions.
The storyline revolves around super hacker Stanley Jobson (Hugh Jackman), recruited by Gabriel to crack the government's computer codes so Gabriel can gather billions for his anti-terrorist campaign. Talk about whacked-out patriotism.
My objections to Swordfish are many. The body count is high, but that is expected in a movie of this sort. It's becoming a bore watching anonymous soldiers, police officers and government agents blown to bits.
Another example is the family dynamics between Stanley, his 10-year-old daughter and his ex-wife. Stanley, though having served time in prison for hacking, is shown as a loving and caring father, forbidden by his ex to see his little girl.
Audience animosity is immediately created for his former spouse by showing her as a drinker and smoker who also sometimes stars in her new husband's adult films.
Thus when she is found murdered late in the movie, neither Stanley nor his daughter are allowed any time to grieve. In fact, subconsciously, many in the audience are probably glad she was killed.
Then there is the sequence involving one of Gabriel's henchman holding a gun to the head of Stanley's daughter to coerce the hacker to download the key computer program for Gabriel. Children as pawns have become a most unwelcome cliché in recent films.
There is enough violence in the real world involving children without having to make them on-screen victims as well. Yea, it's only make believe, but that doesn't mean you have to tolerate it.
Travolta is cool, deadly charming and flamboyant as the near-crazy Gabriel. His character is reminiscent of his villainous characterizations in Broken Arrow and Face/Off.
Jackman looks dour through most of the proceedings. His only moment of any depth comes when he finally is able to create the worm to get inside the government database. His sense of joy and accomplishment is one any computer whiz can appreciate.
Halle Berry is decorative and lovely as Gabriel's assistant, while Don Cheadle is given little to do as the head FBI agent hunting Gabriel.
Swordfish plays like a comic book with a larger-than-life character in Gabriel. Viewers align themselves with him despite their uncertainty if he is hero or villain. And maybe that is the movie's underlying flaw: There is no real hero to speak of, only those doing their upmost to survive.
And that is not enough. This is one Swordfish that should have been thrown back in the water.
Bob Bloom is the film critic at the Journal and Courier in Lafayette, IN. He can be reached by e-mail at<EMAIL_ADDRESS>or at<EMAIL_ADDRESS>Bloom's reviews also can be found at www.jconline.com by clicking on golafayette. Bloom's reviews also can be found on the Web at the Internet Movie Database: http://www.imdb.com/M/reviews_by?Bob+Bloom
========== X-RAMR-ID: 28906 X-Language: en X-RT-ReviewID: 237104 X-RT-TitleID: 1108199 X-RT-SourceID: 872 X-RT-AuthorID: 1363 X-RT-RatingText: 1.5/4
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


This is an example of the Authorization Code flow
Log in with Spotify
Obtain new token using the refresh token
Get Current Song
Song Analysis
Get Album Colors
Get URL Colors
Current song details:
Name
:
ID
Dominant colors
Song data
0:00:000


Cookie Cleaner
Remove cookies only of active tab & perform a hard reload.
Shortcut:
Ctrl+Shift+Z
Click here to confirm


AnylineControllerDelegate Protocol Reference
| Conforms to | NSObject |
|---|---|
| Declared in | AnylineController.h |
Overview
The AnylineController Delegate methods must be implemented to get results of the Anyline processing. All delegate callbacks are garanteed to be executed in the Main Thread.
– anylineController:didFinishWithOutput:
required method
Tells the delegate that the processing has successfully finished and gives the delegate the final output object.
- (void)anylineController:(AnylineController *)anylineController didFinishWithOutput:(id)object
Parameters
object |
The result object of the processing. The result is specified with the RETURN statement in the .alc file. |
|---|
Discussion
This delegate method must be inplemented to receive any results from the AnylineSDK
Declared In
AnylineController.h
– anylineController:didAbortRun:
Tells the delegate that the processing has not completed successfully. Possible reason would be for example that the display or paper frame could not be found.
- (void)anylineController:(AnylineController *)anylineController didAbortRun:(NSError *)reason
Parameters
error |
A NSError object with ALErrorDomain and an appropriate status. |
|---|
Declared In
AnylineController.h
– anylineController:reportsVariable:value:
Tells the delegate a specified intermediate result. Which intermediate results are reported can be specified in the .alc command file with the REPORT function.
- (void)anylineController:(AnylineController *)anylineController reportsVariable:(NSString *)variableName value:(id)value
Parameters
variableName |
The variable name in the .alc file which should be reported. |
|---|---|
value |
The value of the reported variable. |
Discussion
This method is optional. It provides intermediate results, therefore Anyline did not completed the task yet.
Declared In
AnylineController.h
– anylineController:parserError:
Tells the delegate that there was a parsing error.
- (void)anylineController:(AnylineController *)anylineController parserError:(NSError *)error
Parameters
error |
The parsing error which occured. |
|---|
Discussion
If this method is not implemented the SDK raises an exception with the parsing error.
Declared In
AnylineController.h


Earn 1 Style Point for each valid tag.
Preppy
Dress
LBD
Floral
Color Blocking
discover
matchdrobe
settings


{extend name="public:index"} {block name="title"}Financial Institutions{/block} {block name="index"}
Financial Institutions >Edit Financial Institution
Name of the bank *
Street address *
City *
Province or state *
Country *
Postal or zip code *
Submit Delete


Name: {{ clientname }}
{% if clientphonenumber %}Phone number: {% include "views/components/phonenumber.html" with phone=clientphonenumber %}
{% else %} {% endif %} {% if clientaddress %}Address: {{ clientaddress }}
{% else %} {% endif %} {% if clientdescription %}Description:
{% include "forms/widget/maybequill.html" with obj=client.get_quill_object %}


Emitter QML Type
Emits logical particles More...
| Import Statement: | import QtQuick.Particles 2.0 |
Properties
- acceleration : StochasticDirection
- emitRate : real
- enabled : bool
- endSize : real
- group : string
- lifeSpan : int
- lifeSpanVariation : int
- maximumEmitted : int
- shape : Shape
- size : real
- sizeVariation : real
- startTime : int
- system : ParticleSystem
- velocity : StochasticDirection
- velocityFromMovement : qreal
Signals
- void emitParticles(Array particles)
Methods
Detailed Description
This element emits logical particles into the ParticleSystem, with the given starting attributes.
Note that logical particles are not automatically rendered, you will need to have one or more ParticlePainter elements visualizing them.
Note that the given starting attributes can be modified at any point in the particle's lifetime by any Affector element in the same ParticleSystem. This includes attributes like lifespan.
Property Documentation
If set to false, the emitter will cease emissions until it is set to true.
Default value is true.
The size in pixels of the particles at the end of their life. Size will be linearly interpolated during the life of the particle from this value and size. If endSize is -1, then the size of the particle will remain constant at the starting size.
Default value is -1.
This is the logical particle group which it will emit into.
Default value is "" (empty string).
The time in milliseconds each emitted particle should last for.
If you do not want particles to automatically die after a time, for example if you wish to dispose of them manually, set lifeSpan to Emitter.InfiniteLife.
lifeSpans greater than or equal to 600000 (10 minutes) will be treated as infinite. Particles with lifeSpans less than or equal to 0 will start out dead.
Default value is 1000 (one second).
Particle lifespans will vary by up to this much in either direction.
Default value is 0.
The maximum number of particles at a time that this emitter will have alive.
This can be set as a performance optimization (when using burst and pulse) or to stagger emissions.
If this is set to a number below zero, then there is no maximum limit on the number of particles this emitter can have alive.
The default value is -1.
shape : Shape |
This shape is applied with the size of the Emitter. Particles will be emitted randomly from any area covered by the shape.
The default shape is a filled in rectangle, which corresponds to the full bounding box of the Emitter.
If this value is set when the emitter is loaded, then it will emit particles from the past, up to startTime milliseconds ago. These will simulate as if they were emitted then, but will not have any affectors applied to them. Affectors will take effect from the present time.
system : ParticleSystem |
This is the Particle system that the Emitter will emit into. This can be omitted if the Emitter is a direct child of the ParticleSystem
If this value is non-zero, then any movement of the emitter will provide additional starting velocity to the particles based on the movement. The additional vector will be the same angle as the emitter's movement, with a magnitude that is the magnitude of the emitters movement multiplied by velocityFromMovement.
Default value is 0.
Signal Documentation
This signal is emitted when particles are emitted. particles is a JavaScript array of Particle objects. You can modify particle attributes directly within the handler.
Note that JavaScript is slower to execute, so it is not recommended to use this in high-volume particle systems.
The corresponding handler is onEmitParticles
.
Method Documentation
Emits count particles from this emitter immediately. The particles are emitted as if the Emitter was positioned at x,y but all other properties are the same.
If the emitter is not enabled, enables it for duration milliseconds and then switches it back off.


[ ]:
5-MWe - nuclear archaeology¶
This notebook presents a script that uses the functionalities of the nuclear archaeology module of ONIX to find the isotopic ratios that are the most sensitive to fluence in the 5-MWe reactor. In a practical setting, using these isotopic ratios allows to measure fluence with minimal unertainties. This script uses neutronics results from the simulation "5-MWe - reactor simulation" in the Reactor Simulations section from the examples in this documentation.[1]:
import onix.nax as nax
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-1-4419ce8565d1> in <module>
----> 1 import onix.nax as nax
ModuleNotFoundError: No module named 'onix'
First we specify the path of the simulation from which we are going to use neutronics results such as one-group cross sections and one-group neutron flux.
[ ]:
path1 =<EMAIL_ADDRESS>Next, we need to specify the name of the BUCell in the 5-MWe reactor from this simulation in which we want to analyze isotopic ratios and fluence sensitivity. In this case, we are studying
[ ]:
NAX_cell = 'Sample'
We now need to define a vector of days that indicates the length of each cycle of operation of the 5-MWe reactor.
Here, burnup sequences are converted into days using the power and the IHM (Initial Heavy Metal) of the NAX_cell previously defined. Three sets of burnup sequence are considered (following different hypothesis on operation history of the 5-MWe reactor). One assumes high burnup levels, another low burnup levels, and a last one the average of both.
[ ]:
pow_unit_cell = 6.00000E-05
ihm =<PHONE_NUMBER>2995882*1E-3
burnup_list_low = [0.6, 0.23, 0.22, 0.22, 0.23]
burnup_list_high = [0.699, 0.33, 0.31, 0.31, 0.32]
burnup_mid = [(i+j)/2 for i,j in zip(burnup_list_low, burnup_list_high)]
day_list = []
for bu in burnup_mid:
day = bu*ihm/pow_unit_cell
day_list.append(day)
We now create a “reference batch” that will be used to construct the whole operation history of the 5-MWe reactor using the previously defined list of operation cycles length. This “reference batch” stores relevant neutronics results that will be used to study isotopic ratios fluence sensitivity.
[ ]:
batch1 = nax.Batch(path1)
Using the previously defined “reference batch”, we create a list of operation cycles where the length of each of these cycle is indicated in day_list and the neutronics parameters are taken from batch1. This constitues the operation history of the reactor.
[ ]:
operation_history = []
for day in day_list:
batch = (batch1, day)
operation_history.append(batch)
Finally, we call the NAX function that will deplete the NAX_cell with neutronics parameters taken from the selected simulation according to an operation history defined in operation_history
[ ]:
nax.review_all_ratio_candidates(NAX_cell, operation_history, path1, 1E-3)


Style Text Content with Bootstrap Typography Classes
This is just a regular paragraph.
This is an example of muted text.
All the contextual Bootstrap colors have their specific text color classes.
Just another h3 paragraph.
And here is another one.


07 March 2002
Disease Outbreak Reported
WHO has received reports of 201 cases including 36 deaths from 4 February until 10 February in the country. The district of Diebougou, with a population of c. 86 000 has reached the epidemic threshold with 9 cases including 3 deaths reported in the same period.
A mass vaccination campaign has begun in the district and case management activities are being reinforced. The Burkina Faso Ministry of Health has a stock of 946 500 doses of vaccine and 24 889 doses of oily chloramphenicol to confront the epidemic.


Next article: On Data Science
The motivation
I am an economist by training, that was somehow drawn into Data Science. Since the field is a multidisciplinary one, most people landing on it, initially do miss some of the pieces of the puzzle. I have tried different ways to fill in the gaps: formal training, personal study, online courses, summer school (actually the best experience was in BigDive in Turin). Yet I was finding it difficult to get all the details right and get a project from A to Z. No wonder since the field is so varied. So, this project grew out of the personal need to get all the pieces together. The main way to learn something is to practice it; and that's what I did. Once you do that though, the next best thing is to explain to someone else what you just did. And here we are...
The objectives
You can think of this blog as a free online course with 3 objectives:
- Present a unifying framework; a necessary starting point in a multidisciplinary field.
- Provide enough knowledge from the various fields, so that a person can pull through with Data Science project. At the same time let people know where they should look at for the things that they don't know
- Create a production line made of software that processes data and produces insights. One should then be able to plug this production line and use it in any new project
The structure of this blog
When faced with the problem of conveying a complex concept, one solution is to proceed from the more abstract and simplified to the more concrete and contrived, by gradually adding the complex details. This is what we do here. There are different 'levels' that correspond to different level of complexity.
We start with a simple description of what a data project is. We then proceed with a complete example, adding the necessary concepts along the way. Once we are done, we dedicate a level to the increase of technical sophistication and we introduce a lot of the technical tools for a complex project. Finally, we weave everything together, in a complete project.
- Level 0 - Introduction (You are here): a short intro to get you started
- Level 1 - Project Description : Setting up and explaining the sections of a Data Science project. We have divided such a project into five distinct phases, and at this level we provide an extended introduction, plus the motivation for each phase.
- In between Level 2 articles we have placed short tutorials on important concepts: Statistics (Descriptive and Inferential), Linear Algebra, Python and the relevant libraries, Databases, Machine Learning. We present them in order to get a better understanding of the project itself.
- Level 2 - a Code Example: There, we continue with the implementation. At this level we proceed with a complete mini project that goes all the way to producing a simple project report at the end and an extensive code base. We are fleshing out an implementation of the ideas presented previously, complete with all the code.
- Intermezzo - the Tools: After having completed a simple project, we add another layer of complexity; more advanced tools that extend our capabilities: Docker, Jupyter, Git, Make, etc.
- Level 3 – a Pipeline: We revisit our simple project and execute it again, by using the more advanced tools, that give us more capabilities – automation of tasks, tackling bigger datasets, etc.


imei:
channel:
根据视频内容决定视频控件宽高
Your browser is too old which doesn't support HTML5 video.
Load
Destroy
改变视频标签适配方式:
contain
fill
cover
none
scale-down
initial
inherit


Suspected gunmen abduct medical doctor in Delta
Polycarp Orosevwotu, Warri
Gunmen suspected to be kidnappers, Thursday, abducted the President of the Resident Doctors at the Delta State University Teaching Hospital (DELSUTH), Oghara, Dr. Jerry Isogun.
It was reliably gathered that Dr. Jerry Isogun was kidnapped along the Oghara/Mossogar of the Benin/Sapele highway road.
The victim according to a source was returning home when the suspected gunmen ambushed him and whisked him to unknown destination.

The medical doctor was said to be heading to Sapele where he lives with his family when the incident happened.
The said kidnappers has been terrorising the Oghara/Mossogar and Sapele area for the past few months.
All attempts to reach the Delta state Police Public Relation Officer for comments failed but resident doctors at the teaching hospital confirmed the incident.


Employee Info System
All Employees
Add Employee
Update Employee
Employee ID
Employee Name
Employee Address
Employee Salary
Options


{% extends "emails/email_template.html" %} {% load staticfiles %} {% block email_body %}
To initiate the password reset process for your Exactions account, click the link below:
RESET YOUR PASSWORDIf clicking the link above doesn't work, please copy and paste the URL in a new browser window instead.
{% endblock email_body %}


This document explains the architecture and deployment of a control repository for syncing multiple puppet environments, their associated puppet code (modules) and their assocaited data (hiera). This document does not review how to deploy r10k, however that is discussed in relevant detail [here](https://github.com/puppetlabs/prosvcs-malnick/blob/master/README.md#deploy-git-r10k-and-stuff).
##What is a control repo?
A control repository stores a Puppetfile and hiera data (hiera.yaml and hieradata/).
###What does it contain?
hieradata/
Puppetfile
It is also common to have a ```hiera.yaml``` in the control repo. However [for many reasons](http://www.jeffmalnick.com/blog/2014/05/15/hiera-and-r10k/) I don't believe this is a good idea. It can lead to confusing issues with branching of the file that is only consulted once for it's ```$datadir``` path and is not used on a per environment basis - it's loaded once from ```$confdir``` during the *hiera()* call and is not consulted on a per environment basis (e.g. ```$confdir/environments/$environments/hiera.yaml``` **is not used** during the *hiera()* lookup, only ```$confdir/hiera.yaml``` is used).
##How does it work?
The control repo is placed in a monolithic git repository.
The repository can have one or more topic branches that are used by r10k to sync to local Puppet environments.
###Configuration for Puppet code & Hiera data sync via r10k
Details on how to deploy a gitlab repo and assocaited topic branching for r10k sync are [here](https://github.com/puppetlabs/prosvcs-malnick/blob/master/README.md#deploy-git-r10k-and-stuff).
Place a Puppetfile in ```$confdir/Puppetfile```.

In ```$confdir```:
```bash
git init
git remote add origin git@whatever.com:your_name/control_repo.git
git branch -m master production
git add Puppetfile
git add hiera.yaml[root@master puppet] r10k really doesn't need this but we'll add it anyways.
git add hieradata/
git push -u origin production:production[root@master puppet] or whatever branch, maybe production?
```
###Configure hiera.yaml for dynamic environments
**NOTE**: the hiera.yaml is only loaded from ```$confdir/hiera.yaml``` on each puppet run, this means even though you'll have a hiera.yaml in ```$confdir/environments/$environment/``` those are not actually consulted, only the $confdir hiera.yaml is used - therefore, ***you can not have hierarchies per environment***. Since the ```$datadir``` is environment aware that namespace is filled at run time, and consults the specific environment datadir ```$confdir/environments/$environment/hieradata/```.
Your hiera.yaml needs to have a ```datadir``` configured for dynamic lookup so:
```yaml
---
:backends:
- yaml
:hierarchy:
- "%{clientcert}"
- "%{environment}"
- global
:yaml:
:datadir: '/etc/puppetlabs/puppet/environments/%{::environment}/hieradata'
```
###Branching your Puppetfile
For example, assuming you already have a master or production branch:
```bash
vi Puppetfile
```
...add some git modules etc...
```bash
git checkout -b development
git push origin development:development
git commit -am Puppetfile
r10k deploy environment -pv
```
Now you have a new topic branch 'development' and a new Puppet environment in ```$confdir/environments/development```.
###Branching your hiera data
Our ```development``` branch needs it's own data too:
```bash
cd $confdir/hieradata
```
* modify K,V's in ```whatever.yaml```
* modify other K,V's as needed for your development environment
```bash
git branch[root@master puppet] check your branch, make sure it's still development
git commit -am hieradata
git push
r10k deploy environment -pv
```
Check ```$confdir/environments/development/hieradata```
##Testing
###Configuration files for r10k, hiera, puppet:
####/etc/r10k.yaml
```bash
root@master hieradata]# cat /etc/r10k.yaml
:cachedir: /var/cache/r10k
:sources:
puppet:
remote: "git@<IP_ADDRESS>:user/control_repo.git"
basedir: /etc/puppetlabs/puppet/environments
prefix: false
:purgedirs:
- ""
```
####/etc/puppetlabs/puppet/puppet.conf
```bash
[root@master hieradata] cat /etc/puppetlabs/puppet/puppet.conf
[main]
certname = master.puppetlabs.vm
dns_alt_names = master.puppetlabs.vm,puppet
vardir = /var/opt/lib/pe-puppet
logdir = /var/log/pe-puppet
rundir = /var/run/pe-puppet
modulepath = /etc/puppetlabs/puppet/environments/$environment/modules:/opt/puppet/share/puppet/modules
server = master.puppetlabs.vm
user = pe-puppet
group = pe-puppet
archive_files = true
archive_file_server = master.puppetlabs.vm
# cut [master] & [agent] sections, $modulepath above is the important config key here.
```
####/etc/puppetlabs/puppet/hiera.yaml
```bash
[root@master puppet] cat hiera.yaml
---
:backends:
- yaml
:hierarchy:
- "%{clientcert}"
- "%{environment}"
- global
:yaml:
:datadir: '/etc/puppetlabs/puppet/environmets/%{environment}/hieradata'
```
####/etc/puppetlabs/puppet/Puppetfile
```bash
[root@master puppet]# cat Puppetfile
# mod, , ,


Made with C#, HTML5, JavaScript and SQL
| Intro | Features | Architecture |
My work term at the Ontario Financing Authority involved working with a great deal of MVC web applications, maintaining them and building new features from scratch. Therefore, I decided to get ahead of the game and play around with C# web applications and the MVC app architecture. This meant setting up my local MySQL database, and get started with Visual Studio 2017. Mosaic is an application that simulates a university environment manager, with seperate functions for both students and professors. A few of the features include a secure login, a messaging system, class announcement feeds and class management.
The first feature I implemented was a secure login system with client-side verification. The user's login information is checked against a cached list of encrypted usernames and passwords, and if a match is found the field turns green and the user can login, otherwise the field stays red. Client-side scripting and caching was used to reduce the number of calls to the SQL database, as well as improve efficiency. The user also recieves an alert with a detailed error report on what went wrong with the login. Finally, the system also has a change password option, where users can sign in with their old credentials, and add a new password. New students and professors are also able to create new accounts to interact with the system, set their credentials and proceed to the login. These processes use the same verification as the login system.
Another feature that was key to our application was the class management aspect. Students are able to enroll in classes, check class availability and drop classes. Professors are able to enroll to teach a class, view availability and drop teaching a class. Here we have more client-side scripting, that follows the same theme for displaying errors as the login system. Both students and professors can only enroll in valid classes, and drop classes that they are already taking. Below is an example of the UI for class management.
I also implemented a secure email system for the students and professors. Through the database, the students and professors can send emails, reply directly to emails, forward emails and mark emails as read. They can check their inboxes and outboxes, as well as their contact list of all other students or professors currently enrolled at the school. These interactions all happen through the database, with client-side scripting to catch errors when sending emails, such as incorrect usernames. Below are a few examples of the UI for the email system.
I utilized a 5-tier architecture when designing this application, which consisted of: a Service Layer, Repository Layer, UI Layer, Model Layer and a Logic Layer. This made is much easier to maintain the abstraction of my program, and also maintain a seperation of concerns between the modules. For example, the serivce layer handled verification, the repository layer handles database interactions through LINQ queries, and the model layer stores object data. The process for performing user actions was:
For the design of the application, I tried to keep it as simple as possible to increase usability for a variety of users.


Before Change
x[i] = np.array(AoA[i])
// these functions are inherited from Aerodynamics() or overridden
CL[i],CDi[i], wing_lifts, wing_induced_drags = calculate_lift_vortex_lattice(konditions, settings, geometry)
for wing in geometry.wings.values():
wing_CLs[wing.tag][i,0] = wing_lifts[wing.tag]
wing_CDis[wing.tag][i,0] = wing_induced_drags[wing.tag]
// store training data
training.coefficients = np.hstack([CL,CDi])
training.wing_lift_coefficients = wing_CLs
training.grid_points = x
After Change
// overriding conditions, thus the name mangling
konditions.aerodynamics.angle_of_attack = np.atleast_2d(AoA)
// these functions are inherited from Aerodynamics() or overridden
CL,CDi = calculate_lift_vortex_lattice(konditions, settings, geometry)
//for wing in geometry.wings.values():
//wing_CLs[wing.tag][:,:] = wing_lifts[wing.tag]
//wing_CDis[wing.tag][:,:] = wing_induced_drags[wing.tag]


Before Change
)
def __call__(self, trainer):
if not _available:
warnings.warn("scikit-image is not installed on your environment, "
"so a function embedding_tensorboard can not be "
" used. Please install scikit-image.\n\n"
" $ pip install scikit-image\n")
return
for idx in self.indices:
formated_filename_base = osp.join(trainer.out, self.filename_base)
out_file = (formated_filename_base +
"_idx={}".format(idx) +
After Change
)
def __call__(self, trainer):
if not _check_available():
return
for idx in self.indices:
formated_filename_base = osp.join(trainer.out, self.filename_base)
out_file = (formated_filename_base +
"_idx={}".format(idx) +


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