From: Barr. Barrister franklin More. 29 Frith Street, London , W1D 5LG Fax 44-87-1247-2267 tel;<PHONE_NUMBER>38<EMAIL_ADDRESS>Attn Sir, I am Barr.franklin More a solicitor and legal practitioner based in United Kingdom. I am the personal attorney to Dr. George Brumley who was a consultant with Shell UK LTD here in London, who shall be referred to as my client. On the 21st of July 2003, my client Dr. George Brumley and his family were involved in a fatal plane crash in Nairobi Kenya, East Africa. Unfortunately my client Mr. George and his family lost their lives. Here is the website of the incident that struck on that faithful aay http://www.cnn.com/2003/WORLD/africa/07/20/kenya.crash/index.html Since then I have made several enquiries to locate any of my clients extended relatives and this has proved unsuccessful. After my several unsuccessful attempts to locate any member of his family hence I contacted you. I am contacting you to assist in repatriating the money left behind by my client before they get confiscated or declared unclaimed by the security company where this huge deposit were lodged. Particularly, the finance company where the deceased had the said fund valued at USD20 million dollars has issued me a notice to provide the next of kin. Since I have been unsuccessful in locating the relatives for over 3 years, I seek your consent to present you as the next of kin to the deceased, so that the proceeds of this account valued at $20 Million Dollars can be paid to your account abroad, you will have 30% of the money for your role while I will have 60% and 10% for expenses that we may incure in the cause of processing the claim. I have access to all necessary legal documents that can be used to back up any claim we may make. All I require is your honest co-operation to enable us seeing this deal through. I guarantee that this will be executed under a legitimate arrangement that will protect you from any breach of the law. Please kindly get back to me through my email address or personal phone-<EMAIL_ADDRESS>number for confidentiality and send to me your telephone and fax numbers to enable us discuss further about this transaction. Best regards Franklin More


Welcome to the JavaScript Telephone Numbers exercise. In this excercise you will learn the basics of git, and get a chance to exercise your knowledge of JavaScript.
For the purposes of this exercise, assume that we always want the telephone number in the form (xxx)xxx-xxxx
The first three inputs are already bound to the JavaScript using JQuery. Try pressing the format button next to each input.
Now try implementing this one yourself!


WEBPCSC: SCARDJS
V.2.99.0 Browser plug-in interface to PCSC using FireBreath, exposing methods through JavaScript interfaces (for Linux, Windows, and oneday OS X)
Note
Chrome targeted only for now, see README.md at project root
A word...
This API relies on Q-Promise and user/extension architecture.
It means that any scardjs call involving a PCSC API is sent asynchronously to the extension managing the PCSC native call. The scardjs function return a promise for the result.
In a user point of view, it means the code to send an APDU look like that:
function handleRapdu(rapdu) {
//do something
}
read.send("00A4040000").then(handresp)
or more concisely:
read.send("00A4040000").then(function(rapdu) {
//do something
});
- See dist/test/test.html
- See dist/doc/old/
See https://github.com/kriskowal/q/tree/v0.9
See http://pcsclite.alioth.debian.org/api/
License
Copyright (c) 2013 UBINITY SAS<EMAIL_ADDRESS>Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.


PART III. STATE HIGHWAY SYSTEM
§264-41 Establishment. There is established a state highway system which shall consist of federal-aid highways and other public highways which may be designated for inclusion in the system pursuant to section 264-42. [L 1965, c 159, pt of §1; Supp, §111-51; HRS §264-41]
Case Notes
A public highway is not a state highway unless it is designated for inclusion in the state highway system. 2 H. App. 387, 633 P.2d 1118.


{% extends 'site/base_generic.html' %} {% block main_content %}
Patients information Dados gerais Access the list of patients and their demographic information.
Record a new infusion Dados da infusao Please select the patient, add mandatory information such as weight and click Save and continue editing to access dynamically computed fields.
Table list Lists all the tables used by the application.
Harvest for FaBRyDB "Designed by and for biomedical researchers, The Harvest Stack is an open source BSD-licensed toolkit for building web applications for integrating, discovering, and reporting data." Learn more about Harvest


An update on Gilt’s iOS open-source awesomeness
Gilt’s Mockingbird open-source project for iOS was recently recognized by the popular Awesome iOS page, which maintains “a curated list of awesome iOS frameworks, libraries, tutorials, plugins Xcode, components and much more.”
The MBNetworkMonitor
and MBNetworkIndicator
classes from the Mockingbird Toolbox project can now be found under Awesome iOS’s section on Networking code.
(We’ve written about the MBNetworkIndicator
class here on the Gilt Tech blog in the past.)
In other news, a little birdie recently told us that three of the Mockingbird repositories are already among the most popular Cocoapods — and one of those hasn’t even been publicly announced yet!
Four Mockingbird repos are currently available for public use under the MIT license on GitHub. Two of these repos are post-1.0 and are fully documented:
- Mockingbird Toolbox (MBToolbox)
- Mockingbird Data Environment (MBDataEnvironment)
Two more repos contain pre-release versions and are awaiting full documentation:
- Mockingbird Event Handling Module (MBEventHandling)
- Mockingbird Geolocation Module (MBGeolocation)


SettlType (63)
Indicates order settlement period. If present, SettlDate (64) overrides this field. If both SettlType (63) and SettDate (64) are omitted, the default for SettlType (63) is 0 (Regular)
Regular is defined as the default settlement period for the particular security.
Additionally the following patterns may be uses as well as enum values
Dx = FX tenor expression for "days", e.g. "D5", where "x" is any integer > 0
Wx = FX tenor expression for "weeks", e.g. "W13", where "x" is any integer > 0
Noted that tenors expressed using Dx, and Wx values do not denote business days, but calendar days.
Type: String
| 0 | Regular / FX Spot settlement (T+1 or T+2 depending on currency) |
| 1 | Cash (TOD / T+0) |
| 2 | Next Day (TOM / T+1) |
| B | Broken date - for FX expressing non-standard tenor, SettlDate (64) must be specified |


This is not a template for a simple marketing or informational website. It includes a large callout called a jumbotron and three supporting pieces of content. Use it as a starting point to create something more unique.
Use this document as a way to quickly start any new project.
All you get is this text and a mostly barebones HTML document.


As of summer 2012, AMD mapping!
(AKA multi-version support or rescoping)
Just develop as if you have full control and ownership over the dojo and dijit on the page. Later, the component can be built into a distributable package that includes its own, private instance of dojo and dijit (see below).
Again, just develop as if you have full control and ownership over the dojo and dijit on the page. But with the AMD API you can set up your dev environment so that you actually have multiple instances of dojo and dijit (or any other module trees) on the page while developing--no build required. Notice the console when you load this example: multiple instances...also the load time is much faster!
Same as above, except using the dojo-only "packageMap" config variable; this variable has been replaced with the AMD-standard "map" config variable.
The idea is to force the loader into cross-domain mode so that even local, unbuilt resources will be transformed to built, AMD modules on-the-fly. With these transformations, we can have multiple instances of dojo and dijit (or any other module trees) on the page while developing--no build require. Notice the console when you load this example: multiple instance, but it's the slowest of the bunch.
Generally, this mode is not useful under normal circumstances. However, it is a good test of the cross-domain loader in the presence of relocated module trees.
Same as above, except using the dojo-only "packageMap" config variable; this variable has been replaced with the AMD-standard "map" config variable.
The v1.7 builder converts all legacy modules to AMD modules. This allows any legacy tree to be relocated just as if it was an AMD tree all along. The profile coolio-legacy.profile.js is included to build the coolio project. It anticipates relocating dojo and dijit (the builder needs to know which modules may be relocated when it converts legacy modules to AMD modules; it does not need to know the actual relocated names). You can build the coolio demostration by executing the following command from the util/buildscripts directory
./build.sh -p ../../dojo/tests/_base/loader/coolio/coolio.profile.js -r
There are four demonstrations of the built code
Remember to do a build before you try these!


SITE_NAME is perfectly suited for monitoring cron jobs. All you have to do is update your cron job command to send a HTTP request to SITE_NAME after a job completes.
Let's look at an example:
$ crontab -l
# m h dom mon dow command
8 6 * * * /home/user/backup.sh
The above job runs /home/user/backup.sh
every day at 6:08. The backup
script is presumably a headless, background process. Even if it works
correctly currently, it can start silently failing in future, without
anyone noticing.
You can set up SITE_NAME to notify you whenever the backup script does not run on time or does not complete successfully. Here are the steps to do that.
If you have not already, sign up for a free SITE_NAME account.
In your SITE_NAME account, add a new check.
Give the check a meaningful name. Good naming will become increasingly important as you add more checks to your account.
Edit the check's schedule:
8 6 * * *
in the cron epression fieldTake note of your check's unique ping URL
Finally, edit your cron job definition and append a curl or wget call after the command:
$ crontab -e
# m h dom mon dow command
8 6 * * * /home/user/backup.sh && curl -fsS --retry 3 PING_URL > /dev/null
Now, each time your cron job runs, it will send a HTTP request to the ping URL. Since SITE_NAME knows the schedule of your cron job, it can calculate the dates and times when the job should run.
This monitoring technique takes care of various failure scenarios that could potentially go unnoticed otherwise:
The extra options tells curl to not print anything to standard output unless there is an error. Feel free to adjust the curl options to suit your needs.
| && | Run curl only if /home/user/backup.sh exits with an exit code 0 |
|---|---|
| -f, --fail | Makes curl treat non-200 responses as errors |
| -s, --silent | Silent or quiet mode. Don't show progress meter or error messages. |
| -S, --show-error | When used with -s it makes curl show error message if it fails. |
| --retry <num> | If a transient error is returned when curl tries to perform a transfer, it will retry this number of times before giving up. Setting the number to 0 makes curl do no retries (which is the default). Transient error means either: a timeout, an FTP 4xx response code or an HTTP 5xx response code. |
| > /dev/null | Redirect curl's stdout to /dev/null (error messages go to stderr,) |
On modern GNU/Linux systems, you can look up the time zone using the
timedatectl status
command and looking for "Time zone" in its output:
$ timedatectl status
Local time: C 2020-01-23 12:35:50 EET
Universal time: C 2020-01-23 10:35:50 UTC
RTC time: C 2020-01-23 10:35:50
Time zone: Europe/Riga (EET, +0200)
System clock synchronized: yes
NTP service: active
RTC in local TZ: no


It was my second day on the job and faced with my first two challenges of running the fifth busiest branch in the country. I’ve been through many planned and unplanned LOA’s throughout my career, however, this day, I had to deal with an emergency LOA of my Assistant Branch Manager alongside a terrifying bank robbery.
In addition, our branch was going through a transition in staffing and I only had half the staff to run the branch. Due to the shortage, my days began at 8 am and more often than not, ended at 7pm. In six months with half the staff, we managed to increase our overall customer satisfaction by 30% and grow YoY in deposits by 11% in a low to moderate-income branch.
This was no easy task as it took multiple departments within the bank to come together to make it happen. My years of experience both on the field as a producer in the branch and sales manager allowed me to build rapport with key partners in and out of the bank to help my branch location succeed.


|
|
Choose the version for the new layer. *Versions prior to {{ds.versions[ds.versions.length-1]}} are not supported by Navigator v{{nav_version}}. |
|
|
Choose a domain for the new layer. |
| OR |
|
|
Choose the domain and version for the new layer. Only layers of the same domain and version can be merged. |
|
|
Use constants (numbers) and layer variables (yellow, above) to write an expression for the initial value of scores in the new layer. A full list of supported operations can be found here. Leave blank to initialize scores to 0. |
|
|
Choose which layer to import the scoring gradient from. Leave blank to initialize with the default scoring gradient. |
|
|
Choose which layer to import manually assigned colors from. Leave blank to initialize with no colors. |
|
|
Choose which layer to import comments from. Leave blank to initialize with no comments. |
|
|
Choose which layer to import enabled/disabled states from. Leave blank to initialize all to enabled. |
|
|
Choose which layer to import filters from. Leave blank to initialize with no filters. |
|
|
Choose which layer to import the legend from. Leave blank to initialize with an empty legend. |
Default Layers |
|
|
|
Enter the URLs of layers hosted on the web. The custom navigator will open these layers by default. |
Navigator Features |
|
| {{featureItem.name.split("_").join(" ")}} | {{featureItem.description}} |
{{featureItem.name.split("_").join(" ")}} |
|
| {{subfeature.name.split("_").join(" ")}} | {{subfeature.description}} |


FriendCluster
by Matt and Gary
Menu
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Elements
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Classes
Abductive Taskc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#AbductiveTask
Abduction is a task which tries to identify those initial conditions which deduction starts from, given general laws and some singular statements called final states.
- Source
- Stefanelli, M., & Ramoni, M. (1992). Epistemological constraints on medical knowledge-based systems. In Advanced models of cognition for medical training and practice (pp. 3-20). Springer, Berlin, Heidelberg.
- has super-classes
-
AI Task
c
IRI: https://purl.org/heals/eo#AITask
is an activity that uses a reasoning type to accomplish within a defined period of time a goal within a larger problem
- Source
- Tu, S. W., Eriksson, H., Gennari, J. H., Shahar, Y., & Musen, M. A. (1995). Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support. Artificial intelligence in medicine, 7(3), 257-289.
- https://en.wikipedia.org/wiki/Task_(project_management)
- Example
-
Deductive task
- has super-classes
-
s i o 000649
c
- has sub-classes
-
Abductive Task
c, Deductive Task
c, Inductive Task
c
Case Based Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#CaseBasedExplanation
- Source
- Ahmed IM, Alfonse M, Aref M, Salem ABM. Reasoning Techniques for Diabetics Expert Systems. Procedia Computer Science. 2015;65:813–820
- Cunningham P, Doyle D, Loughrey J. An evaluation of the usefulness of case-based explanation. In: International Conference on Case-Based Reasoning. Springer; 2003. p. 122–130.
- Leake DB. Evaluating Explanations. In: AAAI; 1988. p. 251–255
- Example
-
Addresses question of the form, "To what other situations has this recommendation been applied?"
- is equivalent to
-
is based on
some
Explanation
and (is based on
some
System Recommendation
c
and (was generated by
op
some
AI Task
c
and (s i o 000230
op
some
Object Record
c)))
- has super-classes
-
Explanation
Clinical Pearlsc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#ClinicalPearl
- Source
- Lorin, M.I., Palazzi, D.L., Turner, T.L., Ward, M.A.: What is a clinical pearl andwhat is its role in medical education? Medical teacher30(9-10), 870–874 (2008)
- Example
-
Addresses a question of the form, "What is a fact a system should consider when prescribing this medication?"
- is equivalent to
- ((is based on
some
System Recommendation
c) and (is based on
some
Experential Knowledge
c
and (s i o 000668
op
some
User
c))) or (is based on
some
System Recommendation
c
and (used
some
Experential Knowledge
c
and (s i o 000668
op
some
User
c)))
- has super-classes
-
Everyday Explanation
c
Computer Heuristicsc
back to ToC or Class ToC
IRI: http://purl.obolibrary.org/obo/OMIT_0001177
- has super-classes
-
AI Method
c
Contextual Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#ContextualExplanation
Contextual explanations are those that refer to information
about items other than the explicit inputs and output, such as information about the user, situation, and broader environment that affected the computation. Providing such information requires that a system be “context-aware,” and can include information about a “user’s tasks, significant user attributes, organizational environment, and
technical and physical environments” (I.O. for standardization).
- Source
- I. O. for Standardization, Human-centred design processes for interactive systems. Int. Organization for Standardization, 1999
- Example
-
Addresses a question of the form, "What broader information about the current situation prompted the suggestion of this recommendation?"
- is equivalent to
- ((is based on
some
Contextual Knowledge
c
and (s i o 000668
op
some
situation)) or (is based on
some
Contextual Knowledge
c
and (s i o 000668
op
some
Object Record
c))) and (is based on
some
System Recommendation
c)
- has super-classes
-
Explanation
Contextual Knowledgec
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#Contextual_Knowledge
- Source
- Brézillon, P., & Pomerol, J. C. (1999, July). Contextual knowledge and proceduralized context. In Proceedings of the AAAI-99 Workshop on Modeling Context in AI Applications, Orlando, Florida, USA, July. AAAI Technical Report.
- Dey, A. K. (2001). Understanding and using context. Personal and ubiquitous computing, 5(1), 4-7.
- has super-classes
-
Knowledge
c
- has sub-classes
-
Environmental Context
c, User Context
c
- has members
-
Patient has hyperglycemia
ni
Contrastive Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#ContrastiveExplanation
As described
by (Van der Waa, 2018) and (Miller, 2019), contrastive explanations define an output of interest and present
contrasts between the fact (the event that did occur), the given output, and the foil (the
event that did not occur), the output of interest.
- Source
- J. van der Waa, M. Robeer, J. van Diggelen, M. Brinkhuis, and M. Neerincx, “Contrastive explanations with local foil trees,” arXiv preprint arXiv:1806.07470, 2018.
- T. Miller, “Explanation in artificial intelligence: Insights from the social sciences,” Artificial Intelligence, vol. 267, pp. 1–38, 2019
- Example
-
Addresses a question of the form, "Why administer this new drug over the one I would typically prescribe?"
- is equivalent to
- (is based on
some
System Recommendation
c
and (used
some
Fact
c)) and (is based on
some
System Recommendation
c
and (used
some
Foil
c))
- has super-classes
-
Explanation
Deductive Taskc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#DeductiveTask
Deduction allows us to derive from each candidate hypothesis what one expects to be true (consequence) if that hypothesis is true
- Source
- Stefanelli, M., & Ramoni, M. (1992). Epistemological constraints on medical knowledge-based systems. In Advanced models of cognition for medical training and practice (pp. 3-20). Springer, Berlin, Heidelberg.
- has super-classes
-
AI Task
c
- has members
-
Deductive task that generated a recommnendation used as a basis for a contrastive explanation
ni
Environmental Contextc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#Environmental_Context
deals with the physical aspects of the experimental situation
- Source
- Smith, S. M., Glenberg, A., & Bjork, R. A. (1978). Environmental context and human memory. Memory & Cognition, 6(4), 342-353.
- has super-classes
-
Contextual Knowledge
c
Everyday Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#EverydayExplanation
Accounts of the real world that appeal to the user based on their general
understanding and knowledge [(McNeil and Krajack, 2008) of how the world works, and that help them understand why particular facts (events, properties, decisions, etc.) occurred (Miller, 2019).
- Source
- K. L. McNeill and J. Krajcik, “Inquiry and scientific explanations: Helping students use evidence and reasoning,” Sci. as inquiry in the secondary setting, pp. 121–134, 2008
- T. Miller, “Explanation in artificial intelligence: Insights from the social sciences,” Artificial Intelligence, vol. 267, pp. 1–38, 2019.
- Example
-
Addresses a question of the form, "Why are gloves recommended when dealing with high-risk patients?"
-
Addresses a question of the form, "Why does option A make sense?"
- is equivalent to
- (((is based on
some
situation
and (s i o 000668
op
some
User
c)) or (is based on
some
Experential Knowledge
c
and (s i o 000668
op
some
User
c))) and (is based on
some
System Recommendation
c)) or (is based on
some
System Recommendation
c
and ((used
some
situation
and (s i o 000668
op
some
User
c)) or (used
some
Experential Knowledge
c
and (s i o 000668
op
some
User
c))))
- has super-classes
-
Explanation
- has sub-classes
-
Clinical Pearls
c
Evidence Based Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#Evidence_Based_Explanation
account that articulates how or why an event occured that is supported by evidence and scientific ideas
- Source
- https://www.sciencepracticesleadership.com/definitions.html
- Example
-
Address questions of the form, "What studies support this recommendation?"
- is equivalent to
-
is based on
some
Scientific Knowledge
c
and (was generated by
op
some
s i o 001066
c)
- has super-classes
-
Scientific Explanation
c
Experential Knowledgec
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#ExperentialKnowledge
- Is defined by
- https://purl.org/heals/eo
- https://purl.org/heals/eo
- Source
- https://methods.sagepub.com/reference/sage-encyc-qualitative-research-methods/n162.xml
- has super-classes
-
Knowledge
c
Explanation Goalc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#ExplanationGoal
the impact that an explanation has on a user or the purpose it was designed to achieve
- Example
-
educational
- has super-classes
-
s i o 000337
c
Explanation Modalityc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#ExplanationModality
a particular form/media in which an explanation exists is expressed
- Is defined by
- https://purl.org/heals/eo
- has super-classes
-
s i o 000612
c
IRI: https://purl.org/heals/eo#Fact
inputs and other considerations that led to a system recommendation that did occur
- Is defined by
- https://purl.org/heals/eo
- has super-classes
-
Knowledge
c
- has members
-
Drug B is a preferred drug
ni
IRI: https://purl.org/heals/eo#Foil
facts that would have led to a system recommendation that could have occured
- Is defined by
- https://purl.org/heals/eo
- has super-classes
-
Knowledge
c
- has members
-
Patient has hyperglycemia
ni
Fuzzy Logicc
back to ToC or Class ToC
IRI: http://purl.obolibrary.org/obo/OMIT_0017538
- has super-classes
-
AI Method
c
Inductive Taskc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#InductiveTask
Induction is able to match single statement to single statement and, therefore, to match a single statement derived as a prediction from a hypothesis with a single statement describing a portion of the real state of airs in the patient.
- Source
- Stefanelli, M., & Ramoni, M. (1992). Epistemological constraints on medical knowledge-based systems. In Advanced models of cognition for medical training and practice (pp. 3-20). Springer, Berlin, Heidelberg.
- has super-classes
-
AI Task
c
Mechanistic Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#Mechanistic_Explanation
a mechanistic explanation involves presenting a model of the mechanism (the explanans) responsible for some phenomenon of interest (the explanandum). A mechanism is an entity or structure, such as an organ (though a mechanism need not be delineated by such clear physical boundaries) that performs a function by virtue of its component parts, operations and, importantly, their spatial and temporal organisation (Bechtel & Abrahamsen 2005: 421–23). That is, a mechanism does not just consist in its physical parts, but in the ‘organised interplay’ of the activities of those parts (Soom 2012: 656). Examples of phenomena (i.e.,functions or behaviours performed by mechanisms) include such things as the heart’s pumping blood, metabolism and memory.
- Source
- Dessaix, D. Mechanistic Explanation: Some Limits and their Significance. The ANU Undergraduate Research Journal, 51.
- Example
-
Addresses a question of the form, "What is a biological basis for this recommendation?"
- is equivalent to
-
is based on
some
Scientific Knowledge
c
and (was generated by
op
some
Scientific Method
c)
- has super-classes
-
Scientific Explanation
c
Natural Language Processingc
back to ToC or Class ToC
IRI: http://purl.obolibrary.org/obo/OMIT_0010354
- has super-classes
-
AI Method
c
Neural Networks (Computer)c
back to ToC or Class ToC
IRI: http://purl.obolibrary.org/obo/OMIT_0017046
- has super-classes
-
AI Method
c
Numerical Evidencec
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#Numerical_Evidence
a statistical value that backs and quantifies a recommendation
- has super-classes
-
Knowledge
c
Object Recordc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#object_record
a collection of fields that has been gathered for a particular object and the selection is fed to a computer program
- Is defined by
- https://purl.org/heals/eo
- has super-classes
-
s i o 000069
c
Reasoning Modec
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#Reasoning_Mode
a process being executed by the system that achieves a particular goal; e.g. inference models such as treatment planning involved in medical diagnosis can be considered reasoning modes where system is executing a set of tasks
- Source
- Ramoni, M., Stefanelli, M., Magnani, L., & Barosi, G. (1992). An epistemological framework for medical knowledge-based systems. IEEE Transactions on Systems, Man, and Cybernetics, 22(6), 1361-1375.
- Example
-
The treatment planning process proceeds in four steps. First, the play therapist must develop accurate, comprehensive treatment goals that are consistent with the case formulation and the theoretical model being used. Because these goals are formulated from a theoretical perspective, they may not fully align with the goals of the child and his or her caregivers. Therefore, in the second step, the play therapist must work with both the child client and his or her caregivers to develop a treatment contract that takes the goals created in the first step and addresses each party’s needs. This will ensure they will remain actively engaged in the treatment process over time. Third, the play therapist must organize the treatment goals and the treatment contracts into a realistic and sequential treatment plan. Finally, the play therapist must devise both experiential and cognitive/verbal interventions to move the client toward the treatment goals.
Source: O'Connor, K. J., & Ammen, S. (2012). Play therapy treatment planning and interventions: The ecosystemic model and workbook. Academic Press.
- has super-classes
-
s i o 000097
c
IRI: http://purl.obolibrary.org/obo/OMIT_0013278
- has super-classes
-
AI Method
c
s i o 000010c
back to ToC or Class ToC
IRI: http://semanticscience.org/resource/SIO_000010
- has super-classes
s i o 001194c
back to ToC or Class ToC
IRI: http://semanticscience.org/resource/SIO_001194
- is equivalent to
-
s i o 000008
op
some
s i o 001194
c
Scientific Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#scientificExplanation
Scientific explanations reference the results of rigorous scientific methods, such as observations and measurements, to explain something we see in the natural world (Moore, 2000). Adapting from (Miller, 2019),
we add that scientific explanations usually contain different components of interacting knowledge, including theories or mechanisms such as physiological ones, which are sets of principles that form building blocks for models; models which represent the relationships between entities and their attributes informed by taxonomies and other classification schemes; and data (e.g. measurements, observations).
- Source
- J. Moore, “Varieties of scientific explanation,” The Behavior Analyst, vol. 23, no. 2, pp. 173–190, 2000.
- T. Miller, “Explanation in artificial intelligence: Insights from the social sciences,” Artificial Intelligence,
vol. 267, pp. 1–38, 2019.
- Example
-
Addresses a question of the form, "What is the biological basis for this recommendation?"
- is equivalent to
- ((is based on
some
System Recommendation
c) and (is based on
some
Scientific Knowledge
c
and ((was generated by
op
some
s i o 001066
c) or (was generated by
op
some
Scientific Method
c)))) or (is based on
some
System Recommendation
c
and (used
some
Scientific Knowledge
c
and ((was generated by
op
some
s i o 001066
c) or (was generated by
op
some
Scientific Method
c))))
- has super-classes
-
Explanation
- has sub-classes
-
Evidence Based Explanation
c, Mechanistic Explanation
c
Scientific Methodc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#ScientificMethod
involves a question and suggested explanation (hypothesis) based on observation, followed by the careful design and execution of controlled experiments, and finally validation, refinement or rejection of this hypothesis.
- Is defined by
- https://purl.org/heals/eo
- has super-classes
-
s i o 000747
c
Simulation Based Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#SimulationBasedExplanation
- Source
- F. Lateef, “Simulation-based learning: Just like the real thing,” J. of Emergencies, Trauma and Shock, vol. 3, no. 4, p. 348, 2010
- J. Heal, “Simulation, theory, and content,” Theories of theories of mind, pp. 75–89, 1996.
- Example
-
Addresses a question of the form, "What would happen if this recommendation is followed?"
- is equivalent to
-
is based on
some
System Recommendation
c
and (was generated by
op
some
AI Task
c
and (s i o 000230
op
some
Object Record
c
and (has setting
some
situation)))
- has super-classes
-
Explanation
Statistical Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#StatisticalExplanation
- Source
- C. G. Hempel, “Deductive-nomological vs. statistical explanation,” University of Minnesota Press, Minneapolis, 1962.
- Example
-
Addresses questions of the form, "What percentage of similar patients who received this treatment recovered?"
- is equivalent to
-
is based on
some
System Recommendation
c
and (used
some
Numerical Evidence
c
and (s i o 000668
op
some
Object Record
c))
- has super-classes
-
Explanation
System Tracec
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#SystemTrace
sequence of underlying system steps and rules that led to a system recommendation
- Source
- Swartout, W. R., & Moore, J. D. (1993). Explanation in second generation expert systems. In Second generation expert systems (pp. 543-585). Springer, Berlin, Heidelberg.
- has super-classes
-
s i o 000097
c
Trace Based Explanationc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#TraceBasedExplanation
Trace based explanations describe the underlying sequence of steps used by the system to arrive at a specific result. They reveal “the line of reasoning per case” (Lim et al., 2009), and “addresses the question of why and how the application did something” (Lim et al., 2009).
- Source
- B. Y. Lim, A. K. Dey, and D. Avrahami, “Why and why not explanations improve the intelligibility of context-aware intelligent systems,” in Proc. of the SIGCHI Conf. on Human Factors in Computing Systems. ACM, 2009, pp. 2119–2128
- Example
-
Addresses a question of the form, "What steps were taken by the system to generate this recommendation?"
- is equivalent to
-
is based on
some
System Recommendation
c
and (was generated by
op
some
AI Task
c
and (used
some (Decision Tree
c
or
Knowledge based Systems
c) and (s i o 000229
op
some
System Trace
c)))
- has super-classes
-
Explanation
Unsupervised Machine Learningc
back to ToC or Class ToC
IRI: http://purl.obolibrary.org/obo/OMIT_0001486
- has super-classes
-
Machine Learning
c
IRI: https://purl.org/heals/eo#user
- Is defined by
- https://purl.org/heals/eo
- has super-classes
-
s i o 000498
c
User Contextc
back to ToC or Class ToC
IRI: https://purl.org/heals/eo#User_Context
any relevant information that can be used to characterize the situation of a user. There are three important aspects of user context: where the user is, whom the user is with, and what resources are nearby.
- Source
- https://www.igi-global.com/dictionary/researching-mobile-learning/37179
- has super-classes
-
Contextual Knowledge
c


Unittest¶
Unit testing is the idea of testing the ‘smallest’ separable (reasonable) source ‘unit’.
These should run very fast.
Python unittest is the primary unit test framework, allowing us to test in a standard and easy way. - The framework is not exclusive to the category known as unit testing. - Many other testing frameworks exist, however these most often are built upon this unittest package. We will mention some of the most notable later.
Generally, each code pathway represents a unit to be tested and is done at the function level. Tools like McCabe Cyclomatic Complexity metric calculate test coverage or ‘code complexity’ relates to this concept by identifying code pathways.
In this dummy package, we provide examples unit tests:
test_get_array_slice.py for unittesting the
nslice.get_array_slice()
function and test_get_array_slice.py
for unittesting the nslice.group_indices()
function of our package.
A good approach is to structure tests in such a way that it reflects the hierarchy and layout of the code.
This aids transparency, discoverability and maintenance. To illustrate, if we were to test a class method: <package>.<module>.<Class>.<method>
,
we would then have an associated unittest at <package>/tests/<module>/<class>/test_<method>.py
.
Note that the prefix of ‘test_’ is by default a means to aid discoverability and identification of tests and that it is good practice to test all public functions and classes.
Other testing frameworks¶
nose is a useful testing framework built upon the python unittest framework, providing extra capability like running tests in parallel, running and discovery of doctests, useful additional syntax in writing tests etc. However, nose has been deprecated and should likely no longer be the chosen framework for new packages.
pytest is good alternative to nose and is increasingly one of the most popular testing frameworks, with out of the box benefits including improved readability of test output. It also provides potentially useful extra capability when writing tests and well as a plug-in based approach to further capabilities still (like parallel running of tests).
Advanced testing¶
Arguably a more advanced tool in aid of unit testing is with use of unittest.mock. Useful for replacing parts of your system under test with mock objects and allowing us to make assertions about how they have been used. In the strict sense, this enables us to test our ‘unit’ in true isolation of other code. Care should be given when using such tools, since overuse can lead down a rabbit hole making the code under test difficult to change as tests become increasingly complex and difficult to understand.
Potentially we might also have an integration test to ensure this class serves its purpose as a component of a larger chain at <package>/tests/<module>/test_integration.py
integration tests¶
I think it useful to draw a distinction here between unit tests and integration tests. While unit tests test our smallest source ‘unit’, integration tests test these our components (functions/classes etc.) actually successfully interact with one another (as we expect).
For example, let’s say that the output of function1
gets fed into the input of function2
, then it would be
desirable to ensure that these two separate components can indeed interact with one another as we expect.
An example in this package is test_integration.py, which calls the top-level
public nslice.sliceme()
function. This ensures successful interaction between the underlying functions that it
calls (nslice.get_array_slice()
and nslice.group_indices()
) and that it returns a result we expect.
Integration tests should still be small as reasonable and run very quickly.
acceptance tests¶
Acceptance testing is about ensuring the end-to-end running of your code for one or more usecase.
You don’t care so much about the details of how or with what it got to the end result, only that it got there.
Array checks, graphical testing, or file checking may be relevant in this context.
These may not run fast, though perhaps there are different levels of acceptance testing (full slow real ones and perhaps more frequently run fictitious end-to-end ones?).
No guarantee that given an even slightly different usecase that it won’t break your program or worse (return incorrect results) - that’s what unit tests and integration tests are for.
Code style checks¶
Familiar code is easy to read and understand and maintain while heavily personalised code preferences are not.
These standards have basis from experienced software engineers of what has proven to be easier and neater to both understand and maintain.
Typically, for Python these normally have basis in PEP guidelines for good style. Such as those for line length, naming conventions (camel case class names, …).
See “zen on python” (pep 20) as it is worth a read!
Useful tools¶
Typical tools of interest for code style/off-line testing include:
pycodestyle (pep8 checks).
pyflakes (off-line code error checking).
flake8 (framework with plug-in support for numerous checks).
pylint, for performing a code analysis and scoring it.
black (code auto formatter).
Of particular note here is “black”, since it allows the developer the freedom to avoid issues around pep8 compliance and minimise issues relating to personal preference (when it comes to style at least) at code review. Black takes change of these issues and decides on your behalf.


THE GODFATHER PART III (Spoilers for I & II) A film review by Jim Pellmann Copyright 1991 Jim Pellmann
SUMMARY: A grand-slam finale to the Michael Corleone saga. Not for all tastes, and requires some homework, but those who expend the effort will be well rewarded. The best of the trilogy, easily one of the year's best films, and with some actors' best-ever performances.
With all the hoopla surround the Christmas release of G3, I took advantage of HBO's two-night back-to-back showings on G1 and G2 in December. (Not surprisingly, all video stores have been out of both for the last several weeks.)
Having never seen either, I was looking forward to catching up on two Best Picture Oscar winners. Perhaps it was because I'm not big on gangster/Mafia movies (I absolutely hated GOODFELLAS) or perhaps they lose something when viewed on TV, but my opinion of G1 and G2 was that they were good, but not great. So I was not terribly excited about another two hours and forty minutes more of G3. But I was greatly surprised and concurred with the Chronicle:
"If GODFATHER III were simply a worthy sequel, that would have been enough. But this lushly photographed, brilliantly acted and wonderfully entertaining movie has its own claims to uniqueness. It's the most thoughtful of the three films, and its climax brings the entire series into sharper focus."
For maximum enjoyment, I recommend:
- Go rent G1 and G2 before seeing G3: One of my friends who saw it with me had not seen G1 or G2 since they were released in '72 and '74 and was terribly lost keeping track of who was doing what to whom. G2 has many passing references to characters and events from G1 and G2 (see below for a brief summary).
- Don't expect an action-packed, shoot-out type movie: Coppola deliberately develops the story at a slower pace, as we study each character's motivations. It gradually builds to an edge-of-the-seat climax.
- Find a theater showing G3 in 70mm with surround sound. I can't recall any other movie where the improved sound system enhanced the movie as much. The movie's climax, which takes place at an opera house, is especially effective because of it.
Synopses --------
(WARNING: If you plan on renting G1 and G2 and don't want the plots spoiled for you, don't read any further!)
Part 1: During the mid-1940s, we meet Vito Corleone (Marlon Brando) and his four children: Sonny (James Caan), Fredo (John Cazale), Michael (Al Pacino), and Connie (Talia Shire). Attorney Tom Hagen (Robert Duvall) protects the family's legal interests.
When another Mafia boss makes an attempt on Vito's life, Michael kills the other boss and a corrupt police chief, and flees to Sicily, leaving his girlfriend Kay (Diane Keaton) behind. While in Sicily, Michael falls in love with a villager and marries her. Eventually, the other family catches up with him and Michael's wife is killed in a booby-trapped car meant for Michael.
Michael returns to New York and convinces Kay to marry him. Sonny is killed in an ambush by another family. When Vito dies, Michael takes over as Don Corleone.
Part 2: Although he promises Kay that he is going to move the family into legitimate business, Michael gets further and further involved in gambling and drugs during the '50s. He must resort to violence more and more often, just to stay alive. Eventually Kay can take no more and leaves Michael, taking their two children with her.
Michael tries to control Connie's numerous romances, and eventually learns that his brother Fredo is trying to have him killed. In a decision that will haunt Michael for the rest of his life, he arranges Fredo's murder.
Michael's story is intercut with scenes from his father Vito's early life in Sicily and New York. Young Vito (played by Robert De Niro) murders the reigning Mafia don to take control of the city.
Part 3: It is now 1979, and as Michael approaches retirement, he wants nothing more than to make the family completely legitimate. He divests his gambling business to other families and donates millions of dollars to Catholic charities.
The church has controlling interest in an European conglomerate called Immobilare. Striking a deal with a Archbishop who has lost much of the church's money through bad investments, Michael offers to donate $600 million to cover the losses, in exchange for the church's approval to Michael's buying controlling interest in Immobilare. The other stockholders balk at having a known hoodlum as a major stockholder, but the Archbishop promises to get the required approval of the Pope for the deal to go through.
Meanwhile, Vincent (Andy Garcia), the illegitimate son of his brother Sonny, warns Michael that another family boss, Joey Zasa, is bad-mouthing Michael behind his back. Guided by Michael's scheming sister Connie (Talia Shire), Vincent has ambitions to take over the Corleone family business. Vincent quickly becomes Michael's right-hand man, and despite Michael's repeated objections, falls in love with Michael's daughter Mary (Sophia Coppola).
Meanwhile, Michael's ex-wife Kay (Diane Keaton) asks him to allow their son Tony to abandon his legal studies to become a singer. Michael reluctantly agrees.
Michael has as much problem extracting himself from the gambling business as he does getting the Immobilare deal to go through, and he eventually suspects the two may be related. He traces both back to Sicily and it all comes together at the Italian opera house where his son is making his professional singing debut. The climax is one of the most skillful blends of action, music, cinematography, and editing I can recall. The ending genuinely surprised me.
Performances ------------
Al Pacino (Michael) shines and will undoubtedly be nominated for a Best Actor Oscar. You can feel his frustration when he says, "Just when I think I'm out, they *pull* me back in." He even takes on the gravelly voice of Brando's Vito. There are two particular scenes that are brilliant: one where he confesses his sins for the first time in years and another where he has a diabetic stroke.
Andy Garcia (Vincent) is great--he is the very embodiment of Sonny Corleone, hot-headed temperament and mannerisms. This could well be the turning point in his career. If there should be any future Godfather movies, they will no doubt revolve around his character.
Talia Shire is deliciously evil as the conniving Connie, always counseling Vincent on how to get in Michael's good graces. In the end, she even gets to dispatch one of the family enemies in her own special way.
Sofia Coppola (Francis Coppola's daughter) does just fine as Mary, despite many critics' caustic comments. Not an outstanding performance, but solid and believable.
Eli Wallach almost steals the whole movie as an old friend of the family, Don Altobello, who is always trying to keep the peace. Great fun.
Diane Keaton (Kay) is one of the movie's major disappointments, in my mind. It almost seems as if she is overacting to justify her top billing for what is a pretty small role.
George Hamilton is merely passable, replacing Robert Duvall as the family attorney. Duvall reportedly wanted twice what Paramount offered and wanted a larger role, so his Tom Hagen character was killed off between G2 and G3.
John Savage has a throwaway role as Tom Hagen's son, and has nothing to do with the plot, as far as I could tell.
Likewise Bridget Fonda has a brief scene playing a reporter seduced by Vincent, and is not seen again.
Don Novello (better known as Father Guido Sarducci) plays it straight as the family's PR man, attempting to convince a disbelieving press of the family's respectability.
All in all, a great ensemble. Add in the great cinematography, music, and editing (same team as G1 and G2) and you have one of the most satisfying movies of the year. -- Jim Pellmann .
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


|
DESERT
3.0
|
#include <uw-mac-DACAP-alter.h>
Public Member Functions | |
| DACAPBTimer (MMacDACAP *m) | |
Protected Member Functions | |
| virtual void | expire (Event *e) |
Protected Attributes | |
| MMacDACAP * | module |
| int | wait_reason |
Class that represents the backoff timer in DACAP.
Definition at line 130 of file uw-mac-DACAP-alter.h.
|
inline |
Costructor of the class DACAPBTimer.
| Pointer | of a MMacDACAP object |
Definition at line 137 of file uw-mac-DACAP-alter.h.
|
protectedvirtual |
Method called when the timer expire.
| Event* | pointer to an object of type Event |
Definition at line 140 of file uw-mac-DACAP-alter.cpp.
|
protected |
Pointer to an object of MMacDACAP class.
Definition at line 149 of file uw-mac-DACAP-alter.h.
|
protected |
Reason for freezing the timer.
Definition at line 150 of file uw-mac-DACAP-alter.h.


iOS Developers Get Detailed Subscription Notifications
by Andrew OrriOS developers get detailed subscription notifications that would let them send customers notifications if a subscription renewal fails due to a billing issue and when a billing issue has been resolved.
Detailed Subscription Notifications
Apple shared the update on its developer news page:
Server-to-server notifications from the App Store let you receive real-time updates in a subscription’s status, so you can provide customized experiences for your subscribers. New notifications are now available when a subscription renewal fails due to a billing issue and when a billing issue is resolved by the App Store. In addition, a unified receipt containing information about the latest 100 in-app purchase transactions is now included with the notification. If you’ve already enabled server-to-server notifications in App Store Connect, you’ll automatically receive the new notifications and unified receipt for these subscription events.
Developers can learn how to enable them here.
Further Reading:


KILM - KNIP
The day at Wilmington started with similar weather as it was during our arrival there. Cloudy, grey and dark.
A cool feature in this sim is that you can use a drone camera, and explore the exterior with it. If you plug in an Xbox controller to your PC, you can use it to control the drone. It’s really cool for exploring the surroundings of your airport.
Got to see some nice views of North Carolina during our ascent to cruising altitude:
Jacksonville is in Florida. For this flight, I chose to connect to Vatsim for the first time. Vatsim is a network of Pilots and ATCs (Air Traffic Controllers). It’s a plugin software which you can use to communicate to virtual ATC services. As long as you are in an area/airport which has coverage, you will be talking to real human beings who implement real ATC procedures and instructions. How cool is that!?
This time though, I was only an observer in Vatsim, listening to the air traffic on the radio and trying to learn tips before I jump in the cold water myself. I find the ATC conversations quite intimidating. We’ll see.
The approach to Jacksonville is gorgeous. Just look at this pic on final approach to runway:
Pay attention to the detail of the water. The trees. Take a look at the roofs on the houses. The houses are not the same. These probably come from satellite imagery. There’s pools, gardens, bodies of water, roads with cars. It’s stunning.


PROYECTOS
Genetic Algorithms
Seek and Avoid
Blob Ecosystem
Shortest Path
Neural Networks
NEAT - Snake AI
Digit Reconition
Shape Recognition
Others
Sudoku Solver
Minimax
Game of Life
Gravity Simulation
Copyright (c) 2018 Felipe - Codepen: /Mare_413


Edit Admins
In this section you can add, modify and delete administrators
for your site.
To add a new Admin fill the form. The required fields are
marked with * like Nickname, Name, Email and Password.
The othe field, URL, is optional. When you
finished to fill the info just click on Add Author
button to add the new administrator.
To edit an existing Admin just click on Modify Info
on the selected Admin. This will open another page with that Admin's
data, just change what you need and click on Update Author
button. If you need to change the Admin's password, just type
twite the new password.
To delete an existing Admin click on Delete Author
for the selected Admin.
NOTE: The Admin account with the name God can't be
deleted, this because PHP-Nuke needs at least one administrator.


I am a senior at the University of Iowa studying geography on the GIS track. I also hold a bachelor's degree in Anthropology, and have been working as an archaeologist for four years. Since beginning my geography studies, I have become interested in studying hazards and disaster management. In my free time, I enjoy hiking, camping, paddleboarding, and baking.


SEO
Anchor text
click this
click this
CLICK THIS
click this
Some link
Some link
Some link
Some link
Your browser does not support the
applet
tag.


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def | mutable_value |
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def | clear_value |
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def | has_value |
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def | MergeFrom |
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def | Equals |
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def | IsInitialized |
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def | ByteSize |
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def | ByteSizePartial |
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def | Clear |
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The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/datastore/entity_pb.py


The Gallery of Horns
Filter by Keyword
Pick a Gallery
First Gallery
Seconed Gallery
Pick a Sort Method
Sort By Title
Dort By Number of Horns


|
App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
|
Public Member Functions | |
| def | __init__ |
| def | StartBackgroundExecution |
| def | Shutdown |
| def | GetQueues |
| def | GetTasks |
| def | DeleteTask |
| def | FlushQueue |
| def | get_filtered_tasks |
| Public Member Functions inherited from google.appengine.api.apiproxy_stub.APIProxyStub | |
| def | __init__ |
| def | CreateRPC |
| def | MakeSyncCall |
| def | SetError |
Additional Inherited Members | |
| Public Attributes inherited from google.appengine.api.apiproxy_stub.APIProxyStub | |
| request_data | |
| Static Public Attributes inherited from google.appengine.api.apiproxy_stub.APIProxyStub | |
| THREADSAFE = False | |
Python only task queue service stub. This stub executes tasks when enabled by using the dev_appserver's AddEvent capability. When task running is disabled this stub will store tasks for display on a console, where the user may manually execute the tasks.
| def google.appengine.api.taskqueue.taskqueue_stub.TaskQueueServiceStub.__init__ | ( | self, | |
service_name = 'taskqueue' , |
|||
root_path = None , |
|||
auto_task_running = False , |
|||
task_retry_seconds = 30 , |
|||
_all_queues_valid = False , |
|||
default_http_server = None , |
|||
_testing_validate_state = False , |
|||
request_data = None |
|||
| ) |
Constructor. Args: service_name: Service name expected for all calls. root_path: Root path to the directory of the application which may contain a queue.yaml file. If None, then it's assumed no queue.yaml file is available. auto_task_running: When True, the dev_appserver should automatically run tasks after they are enqueued. task_retry_seconds: How long to wait between task executions after a task fails. _testing_validate_state: Should this stub and all of its _Groups (and thus and all of its _Queues) validate their state after each operation? This should only be used during testing of the taskqueue_stub. request_data: A request_info.RequestInfo instance used to look up state associated with the request that generated an API call.
| def google.appengine.api.taskqueue.taskqueue_stub.TaskQueueServiceStub.DeleteTask | ( | self, | |
| queue_name, | |||
| task_name | |||
| ) |
Deletes a task from a queue, without leaving a tombstone. Args: queue_name: the name of the queue to delete the task from. task_name: the name of the task to delete.
| def google.appengine.api.taskqueue.taskqueue_stub.TaskQueueServiceStub.FlushQueue | ( | self, | |
| queue_name | |||
| ) |
Removes all tasks from a queue, without leaving tombstones. Args: queue_name: the name of the queue to remove tasks from.
| def google.appengine.api.taskqueue.taskqueue_stub.TaskQueueServiceStub.get_filtered_tasks | ( | self, | |
url = None , |
|||
name = None , |
|||
queue_names = None |
|||
| ) |
Get the tasks in the task queue with filters. Args: url: A URL that all returned tasks should point at. name: The name of all returned tasks. queue_names: A list of queue names to retrieve tasks from. If left blank this will get default to all queues available. Returns: A list of taskqueue.Task objects.
| def google.appengine.api.taskqueue.taskqueue_stub.TaskQueueServiceStub.GetQueues | ( | self | ) |
Gets all the application's queues. Returns: A list of dictionaries, where each dictionary contains one queue's attributes. E.g.: [{'name': 'some-queue', 'max_rate': '1/s', 'bucket_size': 5, 'oldest_task': '2009/02/02 05:37:42', 'eta_delta': '0:00:06.342511 ago', 'tasks_in_queue': 12}, ...] The list of queues always includes the default queue.
| def google.appengine.api.taskqueue.taskqueue_stub.TaskQueueServiceStub.GetTasks | ( | self, | |
| queue_name | |||
| ) |
Gets a queue's tasks. Args: queue_name: Queue's name to return tasks for. Returns: A list of dictionaries, where each dictionary contains one task's attributes. E.g. [{'name': 'task-123', 'queue_name': 'default', 'url': '/update', 'method': 'GET', 'eta': '2009/02/02 05:37:42', 'eta_delta': '0:00:06.342511 ago', 'body': '', 'headers': [('user-header', 'some-value') ('X-AppEngine-QueueName': 'update-queue'), ('X-AppEngine-TaskName': 'task-123'), ('X-AppEngine-TaskRetryCount': '0'), ('X-AppEngine-TaskETA': '1234567890.123456'), ('X-AppEngine-Development-Payload': '1'), ('Content-Length': 0), ('Content-Type': 'application/octet-stream')] Raises: ValueError: A task request contains an unknown HTTP method type. KeyError: An invalid queue name was specified.
| def google.appengine.api.taskqueue.taskqueue_stub.TaskQueueServiceStub.Shutdown | ( | self | ) |
Requests the task scheduler to shutdown.
| def google.appengine.api.taskqueue.taskqueue_stub.TaskQueueServiceStub.StartBackgroundExecution | ( | self | ) |
Start automatic task execution.


Infusing unexpected joy and wonder into community-focused software
Disco Tray Studios is a community-focused software development initiative at Hendrix College in Conway, Arkansas. We are five students led by Professor of Computer Science, Dr. Mark Goadrich. This project aims to empower students in developing interactive educational games for social good and provide opportunities for student to execute and complete longer-term software development projects that support the technological needs of the local community.
Very Fond of Lemurs
Three Raccoons in a Trench Coat
Technology Enthusiast
Small Town Computer Boy
Code and Cat Wrangler
Social Justice Sorcerer
Just Wants One More Cat
Dr. Goadrich got funding to hire 5 students for the school year
A website where you can document your life throughout the months
A website for all Hendrix professors to assess how many students met certain learning goals at the end of the semeter.
We created a Twitch account to review educational games


'It was best' - Newcastle United injury verdict might surprise Aston Villa fans
Aston Villa latest news | Dean Smith's side welcome Steve Bruce and the Magpies to Villa Park on November 25 when the Premier League returns from the international break
by Richard CusackNewcastle United will cope just fine without captain Jamaal Lascelles, according to former player Malcolm Macdonald.
Lascelles suffered a serious knee injury in a tussle with AFC Bournemouth striker Callum Wilson during the 2-1 defeat of Eddie Howe's side at St James' Park on Saturday.
He was replaced by Paul Dummett after 20 minutes and as a result Newcastle will be without him for at least six weeks - obviously ruling him out of the Villa Park trip on November 25 when the Premier League returns after the international break.
Lascelles hadn't missed a single game for Steve Bruce 's side, but they are well stocked at centre-back with Florian Lejeune set to return from injury and former Villan Ciaran Clark hitting form again.
Aston Villa latest
This is your round up of all things Villa; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Villains throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- Villa fans make Chelsea transfer demand
- 'Worried' fans react to major announcement
- Former Villan reveals Newcastle bombshell
- Morelos saga takes new twist
For all your latest AVFC news, opinion, analysis and transfer gossip, click here
You can follow our Villa reporter Ashley Preece on Twitter, and his email address is<EMAIL_ADDRESS>Macdonald wrote in his column for ChronicleLive : "When a football club loses its skipper for the rest of the year it's normally a huge blow."
"However with respect to Jamaal Lascelles if Newcastle United had to be robbed of a senior player for a long while it was best that it was a central defender.
"Because United are so well off at the back.
"Think of it, Ciaran Clark, Federico Fernandez and Paul Dummett - none automatic selections - have come in recently and all have been absolutely outstanding.
"And two quality performers in Fabian Schar and Florian Lejeune are just about to return from injury so United can stand the absence of Lascelles.


By default, Dr. CI automatically posts build summaries to Pull Requests, but members of the PyTorch organization may opt-out below if this is too noisy.


I worked as part of the development team to design and implement solutions for clients of all stripes. Magento, Drupal, Shopify, Wordpress, HTML5 , CSS / SCSS, Javascript / jQuery. Built and updated Magento 1 and 2 pages for Cokestore.com and Coke France. Currently working as a contractor.
Provided the front-end code for an interface for CNN Go for DirecTV's set- top box and the Amazon Fire Stick (Angular, HTML, CSS). Also helped build CNN's Great Big Story site (React).
Created client websites, emails, and Facebook applications using HTML, CSS, JavaScript, and the CodeIgniter framework. Started at Engauge and continued with Moxie after the company was acquired in 2013.
Worked with the design team and other developers to create and update features on the WebMD site using HTML5, CSS3, and JavaScript.
Created client sites and updated/upgraded existing client sites. Worked with another agency to develop and update WAI-ARIA compliance for the College Board.
Worked with designers and backed team to create the landing and launch website for Cartoon Network's FusionFall MMO.
Worked with development and design teams to launch the first iteration of Turner Broadcasting's Superdeluxe site. Built a Yahoo desktop app to provide users with the latest videos and artist page updates.
Built custom websites and templates for salespeople and maintained PGI website.
Updated the CNN.com site with breaking news stories, updated existing pieces, and worked with the Japan, Italia, and Spanish sites.


Many Keralans rate the elevated Wayanad region as the most beautiful part of their state. Encompassing part of a remote forest reserve that spills into Tamil Nadu and Karnataka, Wayanad’s landscape combines mountain scenery, rice paddies of ludicrous green, skinny betel nut trees, bamboo, red earth, spiky ginger fields, and rubber, cardamom and coffee plantations. Foreign travellers stop here on the bus route between Mysore, Bangalore or Ooty and Kerala, but it’s still fantastically unspoilt and satisfyingly remote. It's also an excellent place to spot wild elephants.
Edakkal Caves
It is located in the Ambukuthi Hills of North Kerala and it is considered as the most primitive centres of human habitation. Edakkal Caves - The Natural Caves Edakkal Caves literally mean a stone in between. It is said that these two natural rock formations has been formed due to a large split in the huge rock due to natural phenomenon. They are present in remote location at Edakkal about 1200 meters above the sea level. It is said that these caves are rare and one of its kind from South India.
This enlivening discovery drew the attention of archaeologists, historians and tourists around the globe.
Banasura Sagar Dam
Banasura Sagar Dam made up of huge piles of stone and boulder is the largest Earth Dam in India and the second largest in the Asian continent was designed by an architect named Eugene Pandala. Banasura Sagar Dam confiscates the Karamanathodu, a tributary of Kabini river in the Project Banasura Sagar. This project encompasses a dam and canal and it started way back in 1979.
The Project Banasura Sagar was put forward to support the Kakkayam Hydro Electric Power Project started to eliminate the water shortages for irrigation and drinking purposes during dry season. The islands in the reservoir with the Banasura hills, the third largest peak in the Western Ghats as a back drop offer an extravagant view.
Meenmutty Waterfalls Kallar
Meenmutty waterfalls, a topmost tourist attraction is the second largest water fall in the state of Kerala and the largest fall of Wayanad district.
This stunning falls which is a prime attraction of adventure seekers is cuddled up in the verdant Mepadi forest range, under the South Wayanad Forest Division, quartered at Chitragiri on the borders of Kerala and Tamil Nadu. It is a waterfall having a unique feature of water falls from a height of 984 feet in three stages is a splendid view and it can be reached there by an exciting jungle trek.
Wayanad Wildlife Sanctuary
Wayanad Wildlife Sanctuary is an animal sanctuary It is spread over 344 km2 & It is Situated on the way from Mysore to Sultan Battery in Wayanad, Kerala.
Wild animals such as Indian Bison, Elephant, Deer and Tiger can be spotted here.Peacocks and Peafowl tend to be very common in the area.
This is the second largest wildlife sanctuary in Kerala. It is bestowed with lush green forests and rich wildlife. Also known as the Muthanga Wildlife Sanctuary, this wildlife area houses some of the rare and endangered species of both flora and fauna.


The Fama French five-factor model was proposed in 2014 and is adapted from the Fama French three-factor model (Fama and French, 2015). It builds upon the dividend discount model which states that the value of stocks today is dependent upon future dividends. Fama and French add two factors, investment and profitability, to the dividend discount model to better capture the relationship between risk and return. The model is as follows
\[ R = \alpha + \beta_m MKT + \beta_s SMB + \beta_h HML + \beta_r RMW + \beta_c CMA\]where
Taking inspiration from the Fama French five-factor model, we can develop a multi-factor stock selection strategy that focuses on five factors: size, value, quality, profitability, and investment pattern.
First, we run a Coarse Selection to drop equities which have no fundamental data or have too low prices. Then we select those with the highest dollar volume. Note that a useful technique is used here: we can use Universe.Unchanged to remain the same universe when there is no necessary change, which greatly speeds up the backtest.
def CoarseSelectionFunction(self, coarse): '''Drop securities which have no fundamental data or have too low prices. Select those with highest by dollar volume''' if self.Time < self.nextLiquidate: return Universe.Unchanged selected = sorted([x for x in coarse if x.HasFundamentalData and x.Price > 5], key=lambda x: x.DollarVolume, reverse=True) return [x.Symbol for x in selected[:self.num_coarse]]
Secondly, in Fine Selection, we use the terms TotalEquity, BookValuePerShare, OperationProfitMargin, ROE, and TotalAssetsGrowth to account for the five factors, respectively. We then calculate a custom ranking metric for each stock using these five terms. Our algorithm will go long in the five stocks with the highest scores and short the five stocks with the lowest scores.
def FineSelectionFunction(self, fine): '''Select securities with highest score on Fama French 5 factors''' # Select stocks with these 5 factors: # MKT -- Book value per share: Value # SMB -- TotalEquity: Size # HML -- Operation profit margin: Quality # RMW -- ROE: Profitability # CMA -- TotalAssetsGrowth: Investment Pattern filtered = [x for x in fine if x.ValuationRatios.BookValuePerShare and x.FinancialStatements.BalanceSheet.TotalEquity and x.OperationRatios.OperationMargin.Value and x.OperationRatios.ROE and x.OperationRatios.TotalAssetsGrowth] # Sort by factors sortedByMkt = sorted(filtered, key=lambda x: x.ValuationRatios.BookValuePerShare, reverse=True) sortedBySmb = sorted(filtered, key=lambda x: x.FinancialStatements.BalanceSheet.TotalEquity.Value, reverse=True) sortedByHml = sorted(filtered, key=lambda x: x.OperationRatios.OperationMargin.Value, reverse=True) sortedByRmw = sorted(filtered, key=lambda x: x.OperationRatios.ROE.Value, reverse=True) sortedByCma = sorted(filtered, key=lambda x: x.OperationRatios.TotalAssetsGrowth.Value, reverse=False) stockBySymbol = {} # Get the rank based on 5 factors for every stock for index, stock in enumerate(sortedByMkt): mktRank = self.beta_m * index smbRank = self.beta_s * sortedBySmb.index(stock) hmlRank = self.beta_h * sortedByHml.index(stock) rmwRank = self.beta_r * sortedByRmw.index(stock) cmaRank = self.beta_c * sortedByCma.index(stock) avgRank = np.mean([mktRank,smbRank,hmlRank,rmwRank,cmaRank]) stockBySymbol[stock.Symbol] = avgRank sorted_dict = sorted(stockBySymbol.items(), key = lambda x: x[1], reverse = True) symbols = [x[0] for x in sorted_dict] # Pick the stocks with the highest scores to long self.longSymbols= symbols[:self.num_long] # Pick the stocks with the lowest scores to short self.shortSymbols = symbols[-self.num_short:] return self.longSymbols + self.shortSymbols


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 8
Lamb shoulder is quite a fatty cut, so wonderful for low, slow roasting. It's a foolproof way of feeding a crowd because it nigh on impossible to overcook it.
Preheat the oven to 200C/180C Fan/Gas 6.
For the lamb, place the onion, carrot, celery, garlic, thyme and rosemary in the bottom of a large, deep roasting tin. Put the lamb on top and season with salt and pepper. Drizzle with the olive oil and pour the stock in the bottom.
Roast for 30 minutes uncovered. Then lower the temperature to 160C/140C Fan/Gas 3. Cover the roasting tin with aluminium foil and cook for a further 4 hours.
For the mint sauce, put the chopped mint in a small bowl and add the vinegar and sugar and stir until well combined. Set aside until ready to serve.
For the roast potatoes, put the potatoes into a large saucepan, cover with water, add a pinch of salt and bring to the boil. Reduce the heat and simmer for 4-5 minutes.
Meanwhile, place the beef dripping into a large roasting tray and preheat in the oven.
Drain the potatoes in a colander and shake around a little to roughen up the edges.
Add the potatoes to the preheated fat and turn carefully, or until coated in the fat. Sprinkle with salt and place in the oven for 30 minutes, until starting to turn golden-brown and crisp. Turn the potatoes and return to the oven for a further 20-30 minutes.
When the lamb is very tender, remove it from the cooking juices and allow to rest. Keep warm until ready to serve.
For the glazed parsnips and cabbage, preheat the oven to 200C/180C Fan/Gas 6.
Place the parsnips, sherry and honey in a baking tray and mix to coat the parsnips. Season with salt and pepper. Roast for 20 minutes, turning half way through, until the parsnips are tender and golden-brown.
Heat a little oil in a large frying pan and stir fry the cabbage for 1-2 minutes, then add the butter and stir to coat.
To serve, shred the lamb and place on serving plates. Place the roast potatoes, parsnips and cabbage next to the lamb. Serve with the mint sauce, gravy and grated chestnuts (if using).


Studying Computer Science at the University of Lincoln.
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Climbing lots of hills in the UK.


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Man Utd's Next Five Transfer Targets Revealed?
by David KappelManchester United, who are desperate to close the gap on the Premier League's leading clubs, have reportedly identified five players they want to sign in 2020.
Tired of reading? Click through the mini-gallery above to see United's reported targets.
The club's leadership and coach Ole Gunnar Solskjaer recently met to discuss transfer targets for next year, according to Manchester Evening News.
The English publication claimed that the Red Devils are keen to sign more young, English players for their squad and have earmarked a fullback, a midfielder, a forward and a striker in this regard.
Download The Soccer Laduma Social Media App & Earn Airtime for Selfies!
United reportedly have four clear English targets, although they recognise that it will be difficult to get all four. Leicester City's Ben Chilwell and James Maddison are understood to be favourites for Solskjaer, while the club is also keen on Jadon Sancho and Declan Rice.
It is believed United have received positive signals from Sancho's camp, with the Borussia Dortmund sensation reportedly telling friends he wants to return to Manchester.
Solskjaer also wants to add another player up front after Romelu Lukaku and Alexis Sanchez both left Old Trafford in the previous transfer window, and the club might turn to a short-term solution in Mario Mandzukic, who could join from Juventus in January.


What is a Claimant Commitment?
A Claimant Commitment sets out what you need to do in order to receive state support. It is reviewed regularly and explains the consequences of failing to meet the requirements; you maybe able to do this on your online account.


Covid19 Simulator
Click on sim to run/pause
Social Distancing Compliance (0-1)
Infection Rate (0-1)
Morbidity Rate (0-1)
Symptomatic Rate (0-1)
Symptom Start Time (1+)
Recover Time (1+)
Number of People (1+)
Initial Num Sick People (1+)
Speed (0+)
Communities: Number (1+)
Communities: Switch Rate
Market: Exists (0/1)
Market: Shopping Rate (0-1)
Market: Shopping Time (1+)
Hospital: Exists (0/1)
Hospital: Admission Rate (0-1)
Test and Trace: Test Symptomatic Rate (0-1)
Test and Trace: Recursive Rate (0-1)
Test and Trace: Test Number of Contacts (0-25)
Test and Trace: Quarantine Mode: 0=At Home, 1=In Hospital


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If you have any technical questions concerning the data architecture, digital tools or other digitally minded questions, please send an email adressed to both Tazuko van Berkel and Mees Gelein
We will try to respond as soon as our schedules permit, but to make sure your question won't be lost in the depths of our email inbox we highly recommend sending your email to both people mentioned.


Love Island's Lucie Donlan almost spills out of her dress as she joins beau Joe at ITV Palooza
The surfer chick almost suffered a wardrobe malfunction as she posed alongside her Love Island beau Joe Garratt at the glitzy event
by Tiffany WallisLove Island star Lucie Donlan was in danger of revealing a little too much as she slipped into a busty dress at ITV's glitzy Palooza in London at Royal Festival Hall, Southbank Centre, tonight.
The surfer chick, 21, wowed in a sizzling fishtail gown with a keyhole neckline, which gave a daring flash at her ample cleavage.
The telly star was nearly showing off more than she bargained for in her risqué black gown which had a plunging center feature.
It appeared the star nearly suffered a wardrobe malfunction after she was snapped adjusting herself in the not-so-forgiving outfit.
Regardless of the near wardrobe mishap, Lucie continued to showcase her incredible hourglass figure in the figure hugging dress as she posed up a storm on the red carpet.
The beauty screamed sexiness as she wore her blonde locks in a tousled wet style and rocked an edgy make-up look with smoky eyeshadow.
The reality star was joined by her handsome beau Joe Garratt who looked dapper at the event in a smart black tux.
The smitten pair joined the likes of Vicky Pattison , Gemma Collins and Ferne McCann at the glamorous London event.
While the 2019 Love Island squad was in full force with Maura Higgins , Amber Gill, Amy Hart and Tommy Fury all dazzling on the red carpet.
Lucie revealed back in September that she and Joe had never split up after the Love Island villa, and had been secretly dating.
Theirs wasn't a smooth path to romance though, as other boys and girls in the villa threw spanners in the works.
On Day One, Lucie chose to couple up with the sandwich maker without a second thought.
After Curtis Pritchard and Tommy Fury rocked up though, second-place winning Tommy chose to couple up with the surfer babe.
She coupled up with Joe again, but before he was dumped from the island, he incurred the wrath of fans by telling her she shouldn't be spending so much time with Tommy.
He wanted her to be putting her time into friendships with the girls instead, which didn't go down well and had him branded controlling and manipulative.
Still, after Lucie was dumped alongside Casa Amor beau George, she seemed to find the spark with Joe again and the couple are still going strong!


Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 4
Dietary
For the tarka dhal, heat the oil in a heavy-based, medium saucepan over a low to medium heat. Add the garlic and spice seeds and fry for 4-5 minutes, or until golden-brown. (CAUTION: The spice seeds may pop during cooking. Cover the pan with a lid and keep the eyes and face away.)
Add the split peas and stir well to coat them in the oil and spices.
Pour over the water and bring to the boil, skimming off any white foam from the top of the liquid at intervals.
When the water is boiling, reduce the heat until the mixture is simmering, then cover the pan and continue to simmer for 35-45 minutes, stirring occasionally, until the split peas are tender and have absorbed all of the water.
Meanwhile, for the onion bhajis, in a large mixing bowl, stir together the yoghurt, gram or plain flour, ground cumin, garam masala and salt. Add three tablespoons of water and stir until smooth and well combined. Set aside to rest for 15 minutes.
When the bhaji batter has rested, stir in the chillies, onion, coriander, lime juice and ground turmeric until well combined. Set aside for a further 15 minutes.
Meanwhile, for the almond rice, measure the rice in a measuring jug and take note of the volume - you will need double this amount of water to cook the rice.
Heat the butter in a pan over a low heat. When the butter has melted, add the almonds and fry gently for 2-3 minutes, or until pale golden-brown.
Stir in the rice, then pour over the water. Cover and bring the mixture to a simmer.
Reduce the heat to a low simmer, cover with the lid and continue to cook for 8-10 minutes. Turn off the heat and leave the rice to steam on the residual heat for a further 4-5 minutes, then fluff up the grains with a fork before serving.
For the bhajis, heat the oil in a deep, heavy-based pan or a deep-fat fryer until a breadcrumb sizzles and turns golden-brown when dropped into it.
Using a dessertspoon, lower dollops of the bhaji batter into the hot oil in batches of four. Fry for 3-4 minutes on each side, or until crisp and golden-brown on both sides and cooked through. Remove from the pan using a slotted spoon and set aside to drain on kitchen paper. Keep warm.
Repeat the process with the remaining bhaji batter until you have twelve bhajis.
When the tarka dhal is ready, mash the softened split peas slightly with a fork. Season, to taste, with salt and freshly ground black pepper.
To serve, divide the almond rice equally among four serving plates. Spoon over the tarka dhal. Place three onion bhajis alongside each serving. Serve the yoghurt and mango chutney in dipping bowls alongside. Garnish with sprigs of coriander.


What are the best practices associated with using classes vs. ids?
The best practices associated with using classes vs ids are 1.Classes should be used when there are many items that need changes or when there is a possibility that in the future elements will need the same styling as the rules that were created in your classes. 2. Id's should be used when there will only be one occasion for the rules to be used, basically in special or unique situations.
In the css video the instructor talked about how we should always default to classes and hardly ever use id's. His reasoning was that if we created more pages or updated the site or found other uses that called for us to reuse parts of our code we would need classes to achieve that and id's would fall short.


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