On Windows, you'll need to share your drive with Docker in order to build images.
i) Open up Docker settings by right-clicking the Docker icon in the taskbar, and choosing Settings.
ii) Go to the Shared Drives
tab and share the C drive
If you receive a firewall error, try these Troubleshooting steps.
If you have Visual Studio 2017 you can have it create Docker files for you by doing the following:
* Right click on the Microsoft.Knowzy.WebApp project, select Add -> Docker Support
. If you are on prompted for Target OS, choose Linux
and click OK.
This will create a Dockerfile file in your WebApp project, and add a new docker-compose project type to your solution.
In the end you should have Dockerfile in each of those three projects, and all three referenced in your Docker compose project.
Now under the docker-compose.yml
file, find the docker-compose.override.yml
file, and modify it with the following (changing the values of your CosmosDB endpoint and key):
version: '3'
services:
microsoft.knowzy.webapp:
environment:
- ASPNETCORE_ENVIRONMENT=Development
- ASPNETCORE_URLS=http://<IP_ADDRESS>:5101
- ORDERSAPI_URL=http://microsoft.knowzy.ordersapi:5102
- PRODUCTSAPI_URL=http://microsoft.knowzy.productsapi:5103
ports:
- "5101:5101"
microsoft.knowzy.ordersapi:
environment:
- ASPNETCORE_ENVIRONMENT=Development
- ASPNETCORE_URLS=http://<IP_ADDRESS>:5102
- COSMOSDB_ENDPOINT=<**YOUR COSMOSDB ENDPOINT**>
- COSMOSDB_KEY=<**YOUR KEY**>
ports:
- "5102:5102"
microsoft.knowzy.productsapi:
environment:
- ASPNETCORE_ENVIRONMENT=Development
- ASPNETCORE_URLS=http://<IP_ADDRESS>:5103
- COSMOSDB_ENDPOINT=<**YOUR COSMOSDB ENDPOINT**>
- COSMOSDB_KEY=<**YOUR KEY**>
ports:
- "5103:5103"
You can now start debugging the Docker Compose project; it will create all three Docker images and run them on your local dev environment.
If you're new to Docker, here's a quick overview of the Dockerfile for the Orders API, with an explanation for each statement
# Use the aspnetcore image as a base
FROM microsoft/aspnetcore:1.1
# Create a variable called source that has the path of the publish directory
ARG source
# Use /app inside the created container to hold our files
WORKDIR /app
# Expose port 80 from our created container. This gets overwritten by the docker compose override file
EXPOSE 80
# Copy from files in the source folder (or obj/Docker/publish if source was not set) into the current folder (/app).
COPY ${source:-obj/Docker/publish} .
# The entrypoint for the container is the command: dotnet Microsoft.Knowzy.OrdersAPI.dll
ENTRYPOINT ["dotnet", "Microsoft.Knowzy.OrdersAPI.dll"]
Note how we are using
dotnet
and the kestrel web server in the configuration to host the APIs and the Web App in their containers. For more information on hosting ASP.NET Core in production see this article.
And an overview of what's going on in the docker-compose file
version: '3'
services:
# Defines a service and gives it a name
microsoft.knowzy.webapp:
# The image tag (in Docker, tags are used as version numbers)
image: microsoft.knowzy.webapp
# Tell Docker to build a new image
build:
# Specify the location of the Dockerfile used to build the image
context: ./src/1. WebApp/Microsoft.Knowzy.WebApp
dockerfile: Dockerfile
...
You've run your apps by debugging the docker-compose project in Visual Studio. Before you can push your images out to the world, you'll need to know a few things about interacting with Docker. Open up a PowerShell session in the Knowzy_Shipping_WebApp
folder
# List your running containers
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
b0ee3710499e microsoft.knowzy.webapp "tail -f /dev/null" 2 minutes ago Up 2 minutes 80/tcp, <IP_ADDRESS>:5101->5101/tcp dockercompose9124822939927181477_microsoft.knowzy.webapp_1
82a53378a7c6 microsoft.knowzy.ordersapi "tail -f /dev/null" 2 minutes ago Up 2 minutes 80/tcp, <IP_ADDRESS>:5102->5102/tcp dockercompose9124822939927181477_microsoft.knowzy.ordersapi_1
88b91969038c microsoft.knowzy.productsapi "tail -f /dev/null" 2 minutes ago Up 2 minutes 80/tcp, <IP_ADDRESS>:5103->5103/tcp dockercompose9124822939927181477_microsoft.knowzy.productsapi_1
You'll see that Visual Studio and Docker have generated 3 images, started 3 containers, and have grouped them all together with the same name prefix, in this case, dockercompose9124822939927181477
.
Since you've mapped host ports to containers, you're now able to interact with each of them on localhost by navigating to these urls:
Docker containers come and go frequently. You may want to practice and stop your currently running containers to free up some computing resources. In your PowerShell window, run the following, using your name prefix, which was displayed by docker ps
.
# Remove resources for your named project
docker-compose -p <YOUR_NAME_PREFIX> down
If you want to spin up your containers again, you can debug the docker-compose project in Visual Studio, or interact directly via PowerShell by running the following commands:
# Create and start containers
# -f: Use the compose & override files
# -d: Detach (Run containers in the background)
# --build: Build images before starting containers
docker-compose -f "docker-compose.yml" -f "docker-compose.override.yml" up -d --build
# Remove containers.
# Because we used the defaults, so we don't have to specify a project name
docker-compose down
Note that you don't have to use Docker Compose to run your containers. You could do it all using just the docker
command to create / start / remove the containers, but higher level tooling can greatly increase your productivity.
After you're done interacting with your containers, run the following to look at the images that you've built
docker image ls
REPOSITORY TAG IMAGE ID CREATED SIZE
microsoft.knowzy.productsapi latest 0cf302713f5a 12 minutes ago 325 MB
microsoft.knowzy.webapp latest a26d42ad4ecd 12 minutes ago 337 MB
microsoft.knowzy.ordersapi latest f48275db75b4 12 minutes ago 325 MB
So far, you've developed a few applications, packaged them in Docker images, and have tested them in a production-like environment by running them inside a container on your local computer. To get your apps running in the cloud, your next step is to push your images to a Docker registry.
You can use Azure Container Registry to hold your images. There are a few reasons to do this.  You want to be able to control access to your images! You will also want your images to be available in the same region as your compute resources for quick deployments.
Using the Azure Cloud Shell, set up some variables for your registry. These will be specific to you:
# Create some variables using Azure Cloud Shell
RESOURCE_GROUP=myResourceGroup
ACR_NAME=buildtourregistry
If your resource group hasn't been created yet, the following command will create one in the East US region:
az group create -n $RESOURCE_GROUP -l eastus
Next, use an Azure CLI command to create your container registry.
Note the use of the --admin-enabled
switch, which enables a simple username/password logon. In a production environment, you'll likely want to disable this option and create a Service Principal, but this will get us up and running for now.
az acr create --resource-group $RESOURCE_GROUP --name $ACR_NAME --sku Basic --admin-enabled
You're all set up with a registry, with the full name of $ACR_NAME.azurecr.io
.
Execute the following command to get the admin password for your newly created registry:
az acr credential show -n $ACR_NAME -g $RESOURCE_GROUP
Go back to your PowerShell window and login to your registry so we can push some images. Run the following command, using either the password
or password2
result from the previous command as your password:
# Set up PowerShell variables to match those used in the Cloud Shell
# Again - these will be specific to you
$ACR_NAME = "buildtourregistry"
docker login -u $ACR_NAME -p <your password> "$ACR_NAME.azurecr.io"
If you're having trouble copy/pasting the password from the Azure Cloud Shell to PowerShell, try highlighting your password and making sure your cursor is over the highlighted text, and then right click.
You've already got some tagged images, and now you need to tell Docker that they're associated with your newly created registry. You'll specify the knowzy
namespace before pushing them to keep these apps grouped together. This is as simple as adding another tag for our existing images, using the following commands.
# Add additional tags to the existing images
docker tag microsoft.knowzy.ordersapi "$ACR_NAME.azurecr.io/knowzy/ordersapi:1"
docker tag microsoft.knowzy.productsapi "$ACR_NAME.azurecr.io/knowzy/productsapi:1"
docker tag microsoft.knowzy.webapp "$ACR_NAME.azurecr.io/knowzy/webapp:1"
# View the new tags. Notice there are multiple tags for the same image id
docker image ls
To push images to your registry, use the following commands:
# The first push will take a moment
docker push "$ACR_NAME.azurecr.io/knowzy/ordersapi:1"
# The subsequent images will be much faster because they use a common base image
docker push "$ACR_NAME.azurecr.io/knowzy/productsapi:1"
docker push "$ACR_NAME.azurecr.io/knowzy/webapp:1"
When finished, you can look at your images in your Azure Container Registry by using the following commands in the Azure Cloud Shell:
# Use the Cloud Shell to inspect your registry
az acr repository list -n $ACR_NAME
az acr repository show-tags -n $ACR_NAME --repository knowzy/ordersapi


- We have extracted the NTP codebase from BitKeeper
-
This was not a trivial achievement. One of our team members has more experience doing messy repository conversions than anyone else alive, including gnarly and venerable projects like groff and Emacs. Producing a really high-quality conversion took him ten weeks of concentrated effort. You can read more about how to spot a high-quality repository conversion; our NTP history has all the traits of good ones.
- We have significantly hardened the code against buffer overruns
-
To prevent buffer overruns, we have replaced all unsafe string functions (strcpy/strcat/strtok/sprintf/vsprintf/gets) with safe versions that take a buffer bound.
- We have removed over a hundred thousand lines of obsolete code
-
Less code means less attack surface. Here are some things we’ve found to remove:
45.0 KLOC (20%)
In-tree copy of libevent2
23.0 KLOC (10%)
Undocumented, deprecated, or broken refclock code (Types 3, 12, 13, 14, 17, 19, 32, 34, 36, 37, 43)
24.0 KLOC (11%)
Unused ISC library code
12.5 KLOC (5%)
libopts/autogen removal
9.0 KLOC (4%)
Code obsolete because we assume a POSIX.1-2001/C99 base
9.0 KLOC (4%)
Removal of ntpdc
2.0 KLOC (1%)
Replacement of ntpdate by a shell wrapper around ntpdig
4.5 KLOC (2%)
Miscellaneous cruft
131.0 KLOC (58%)
Total removed
96.0 KLOC (42%)
Total remaining
227.0 KLOC (100%)
Total at conversion time
(Totals may not sum exactly due to rounding errors. Numbers generated using David A. Wheeler’s SLOCCount.)
These removals include nearly half of the bulk of ntpd, the most security-critical code. And the numbers understate the size of the removals slightly because the way we counted "remaining" code includes some test code added since the repository conversion.
- We have improved the accuracy of time stepping with real hardware by x10
-
When NTP was originally written, computer clocks only delivered microsecond precision. Now they deliver nanosecond precision (though not all of that precision is accurate). By changing some internal representations we have made NTPsec able to use the full precision of modern clocks, which results in a factor 10 or more of accuracy improvement with real hardware such as GPSDOs and dedicated time radios.
- We have applied Coverity scanning and fixed bugs where they were revealed
-
NTP Classic had occasionally been Coverity-checked in the past, but those warnings were not systematically fixed. We found 40 unresolved defect reports and dealt with them appropriately. We have a policy shipping only with zero Coverity defects.
- We have fixed all compiler warnings
-
All compiler warnings have been either fixed or suppressed for principled reasons (like "that one is caused by a known GCC optimizer bug"). This may seem like a small thing, but it can have a significant effect on maintainability and downstream defect rates. Noise warnings are a kind of undergrowth in which real warnings and the bugs that trigger them can lurk undetected.
- We have increased the visibility of potential defects to static analyzers
-
By well-defined transformations of the code, including improving its type discipline, we can give static analyzers and verification tools better traction to find defects and potential vulnerabilities. We’ve got a good running start on this already, changing the code to use C99 bools wherever possible and safe.
- We have moved the build to waf
-
The NTP Classic build system was 31,000 lines of impacted autotools cruft, a Lovecraftian nightmare of complexity that reached out from sunken R’lyeh to trouble the dreams of the living. We switched to waf, an alternative single-phase build system also used (among other places) by the Samba project. Our builds got an order of magnitude faster, and the new build recipe is about 1 KLOC!
- We have updated and reorganized the documentation
-
The NTP in-tree documentation was in terrible shape - incomplete where it was not actively misleading, with some parts of it that needed updating (such as the WHERE-TO-START file) actually unmodified since 1998. It had a serious problem with different documents telling different stories. We’ve fixed all that; every command-line switch and every configuration entity now has a single point of truth, also the manual pages and Web documentation are generated from the same master files.
- We have earned trust in the InfoSec research community
-
NTPSec was the first NTP implementation to respond to and develop a fix for CVE-2015-7704, the KoD off-path attack bug that achieved news coverage in Ars Technica and elsewhere in October 2015. Even before we first shipped code we participated in the mitigation and disclosure process on over a dozen CVEs, and developed good working relationships with some key players in the security community. They have already learned to trust us to respond rapidly and effectively to vulnerability reports.
You should probably read What we plan to do next.


This page requires Javascript for full functionality. Please enable it in your browser settings!
BSI
Name
Start
End
Effort
Jun 2018
Jul 2018
11
18
25
02
09
16
1
get something done
ID:
_Task_1
2018-07-01
2018-07-01
0.0
Container Task
Normal Task
Milestone
Off-duty period
Project: My minimal project Version: 1.0 - Created on 2018-07-12 04:37:01 with
TaskJuggler
v3.6.0


Letters: Police did excellent job during Kahuku protests; Compromise needed with Marine sea wall; Dogs not allowed at Ala Moana park | Honolulu Star-Advertiser
When the police have finished the job at Kahuku, I hope they are sent to clear the road at Mauna Kea; The proposed sea wall is being funded for both climate change affecting the berm walls and public safety downrange onto the open ocean; I am a dog owner myself, but rules are rules. Read more
Mahalo for reading the Honolulu Star-Advertiser!
You're reading a premium story. Read the full story with our Print & Digital Subscription.
Already a subscriber? Log in now to continue reading this story.
Print subscriber but without online access? Activate your Digital Account now.


Sysex: In MIDI, a "System Exclusive" message which carries an unlimited amount of bulk data in a format defined by an instrument manufacturer specific to its own instruments. The Digital Chroma uses a single Sysex message that carries bulk data, and is always immediately followed by an {_NRPN} that tells what it means, what to do with it, and what MIDI channel (if any) it belongs to.
Also: {_NRPN}, {_RPN}


No items were found.
Calories (per Serving): {{item.recipe.calories / item.recipe.yield | number : 0}}


How to leave a social group using the Social Groups module. This removes the user from the security role. There is no message sent to a user who elects to leave a group.


WITNESS LIST
Economic Development
March 23, 2011 1:00 PM - or upon adjournment
FOR:
Bianchi, Richard (Aransas County), Rockport, TX
Smith, Charles (Aransas County), Rockport, TX
FOR:
Bianchi, Richard (Aransas County), Rockport, TX
Smith, Charles (Aransas County), Rockport, TX
ON:
Ridge, Doug (Texas Workforce Commission), Austin, TX
Registering, but not testifying:
For:
Schwab, Carlton (Texas Economic Development Council), Austin, TX
FOR:
Broaddus, PhD, P.E., James (Broaddus & Associates, Inc. (Planning, Project Mgmt,
Construction)), Austin, TX
Lee, Donald (Texas Conference of Urban Counties), Austin, TX
Lindsay, Richard (Self), Woodlands, TX
Moss, Roomey (Balfour Beatty Construction), Dallas, TX
ON:
Van Arsdale, Corbin (AGC- Texas Building Branch), Austin, TX
Registering, but not testifying:
For:
Eugene, Darrick (Board of Trustees of the Galveston Wharves), Austin, TX
O'Reilly, Melissa (PTP), Austin, TX
Patterson, T.J. (City of Ft. Worth), Ft.Worth, TX
Peterson, Michael (AT&T), Austin, TX
Sewell, Jim (Gallagher Construction), Salado, TX
Snowden, Tara (Zachry Construction), San Antonio, TX
Urrabazo, J.P. (Center Point Energy), Austin, TX
On:
Fowler, Perry (AGC of Texas Heavy Highway Utility Branch), Austin, TX
Registering, but not testifying:
For:
Kamerlander, Michael (The Greater Austin Chamber of Commerce), Austin, TX
Poage, James B. (Startech Foundation (South Texas RCIC)), San Antonio, TX
1
WITNESS LIST
Economic Development
March 23, 2011 1:00 PM - or upon adjournment
FOR:
Gill, Kin (Xtreme Power), Austin, TX
AGAINST:
Kamerlander, Michael (The Greater Austin Chamber of Commerce), Austin, TX
Poage, James B (Startech Foundation), San Antonio, TX
FOR:
Buergermeister, Jennifer (Texas Yoga Association), Houston, TX
Gillan, Lex The Yoga Institute (The Yoga Institute), Houston, TX
ON:
Temple, Larry (Texas Workforce Commission), Austin, TX
Registering, but not testifying:
For:
McDutte, William (TYA and Independent Yoga Studios (25)), Houston, TX
Sheilds, Brad (Texas Yoga Association), Austin, TX
FOR:
McKinney, Wade (Henderson County Commissioners Court), Eustace, TX
Miars, Robert (Bob) (Henderson County Fair Park Board), Athens, TX
Registering, but not testifying:
For:
Joslove, Scott (Texas Hotel & Lodging Association), Austin, TX
2


The assembly of the Sm core occurs as an ordered, protein-assisted process in the cytoplasm after the nuclear export of nascent snRNAs. The proper assembly of the Sm core, as well as the 5’-cap hypermethylation and 3’-end processing of the snRNAs are required before the snRNPs can be transported back into the nucleus to function in pre-mRNA splicing.
The Survival of Motor Neurons (SMN) protein plays an important role in regulating the assembly and specificity of Sm proteins, and appears to be sufficient for Sm core assembly. The crucial role that SMN plays is illustrated by cases where it is mutated, resulting in the fatal neuromuscular disorder, spinal muscular atrophy (SMA), characterised by the degeneration of spinal cord motor neurons. SMN is a multi-protein complex that includes several proteins, such as Gemins2-7, where Gemin3 acts as an RNA helicase. The SMN complex acts as a scaffold on which the Sm and snRNA components are assembled in a sequence-specific manner. Some Sm proteins (B, D1, D3) bind directly to SMN through their RG (arginine- and glycine-rich) domains, while snRNAs contain both SMN-binding domains as well as U-rich Sm-binding sites. SMN acts as a specificity chaperone to ensure the Sm core assembles onto the correct snRNA, by only incorporating SMN-bound Sm proteins and sequence-specific snRNAs into snRNPs. This stringent control prevents the deleterious association of Sm proteins with other RNAs, which could interfere with their functioning. In this way the SMN complex determines the types of snRNPs assembled.
The have been several proteins identified in many organisms, including bacteria, that are related to Sm proteins in sequence, structure and function, which together form the Lsm (Like-Sm) protein family. Lsm proteins contain Sm motifs; form 6- or 7-member rings with a central hole through the RNA may pass; and are involved in various essential RNA-processing tasks. For instance, bacterial Hfq proteins facilitate RNA-RNA interactions, archaeal Lsm proteins can associate with RNase-P RNA required during ribosome synthesis and function, and eukaryotic Lsm proteins are involved in pre-mRNA splicing, histone 3’-end formation, tRNA processing, rRNA maturation, mRNA degradation and telomeric DNA synthesis.
In eukaryotes, different snRNPs can contain unique sets of Lsm proteins, because the Sm-binding sites on snRNAs are not equivalent. The different combinations of Lsm proteins allow a cell to create different complexes with distinct functions involved in a variety of cellular events. For instance, U7 snRNPs contain two unique Lsm proteins, Lsm10 and Lsm11 (replace D1 and D2), which are required for histone RNA processing. Lsm1-7 form a cytoplasmic rather than a nuclear complex that mediates RNA decapping and degradation. Lsm2-7 associates with snR5 snoRNA required for the site-specific pseudouridylation of rRNA. These diverse functions show the importance of Lsm proteins as modulators of RNA biogenesis and function.
|
|
Molecular
mechanism of histone pre-mRNA 3’ end processing by U7 snRNP. Reprinted from Cellular and Molecular Life Sciences (Birkhäuser Verlag, Basel, Switzerland) Oct 61(19-20), D. Schumperli and R. S. Pillai, The Special Sm Core Structure of the U7 snRNP: Far-reaching Significance of a Small Nulcear Ribonucleoprotein, pp2560-1570, 2004, PMID: 15526162. |


Be in right place at right moment
GPS Alarm lets you create and manage alarms based on you location.
Let your iPhone wake you up one train stop before arrival so you can sleep five minutes more, don't forget to
buy those carrots if you walk next to the supermarket or remind to schedule a meeting with you dentist if you are around.
Developed by: Carlos Buenosvinos (@buenosvinos)
He is a PHP fan. He is one of the founders of PHP Barcelona User Group, Zend Framework Certified, Zend PHP Certified and Scrum Master Certified.
Carlos is running "strange" projects all the time, so if you are interested, you can follow him in
@buenosvinos, linkedin, GitHub or just sent him an email:
<EMAIL_ADDRESS>You can take a look at his Development Factory called
QuePimQuePam.com.


Item 5.
Create a formula in CODAP or use a calculator to calculate some suspension rates from the table (e.g., rates for your state by race or for a particular race by state). What do these rates tell you about how suspensions vary by state and/or race?in-context


Gaffney
Status: active development (prototype port)
Prototype: Codepen Prototype
Demo / Documentation
Why the name Gaffney?
Vince Gaffney led the archeological team that discovered the first calendar made by human kind, a calendar based on the moon.
The pits were dug in the shapes of various phases of the moon. "Waxing, waning, crescents, and gibbous, they're all there and arranged in a 50-meter-long (164-foot) arc.
National Geographic
What does this do?
Gaffney provides a set of tools to create lunar and astrology calendars, create APIs or microservices etc. using data about the moon and stars.
Simple examples
SVGs
import {svgString, crescentShape as shape} from '@gaffney/svg'
const svg = svgString(shape({progress: 3}))
single packages
simple
import getMoonPhase from '@gaffney/simple'
const moonPhase = getMoonPhase(2018, 4, 20)
conway
import getMoonPhase from '@gaffney/conway'
const moonPhase = getMoonPhase(2018, 4, 20)
trig1
import getMoonPhase from '@gaffney/trig1'
const moonPhase = getMoonPhase(2018, 4, 20)
trig2
import getMoonPhase from '@gaffney/trig2'
const moonPhase = getMoonPhase(2018, 4, 20)
Gaffney as an instance
import Gaffney from '@gaffney/gaffney'
import {
svgString as moon,
crescentShape as crescent,
zodiacSign as zodiac
} from '@gaffney/svg'
const lunarCalendar = new Gaffney()
const moonPhase = calendar.trig2(2018, 4, 20)
const zodiacPhase = calendar.zodiac(2018, 4, 20)
const svgMoon = moon(crescent({progress: moonPhase}))
const svgZodiac = zodiac(zodiacPhase)


Chapter 3 Goodness of fit tests
We can assess how well the fitted distributions reflect the distribution of the data in various ways.We should, of course, examine and compare the tables of frequencies and, if appropriate, plot and compare empirical distribution functions. More formally, we can perform certain statistical tests. Here we will use the Pearson chi-square goodness-of-fit criterion.
3.1 the Pearson chi-square goodness-of-fit criterion
We construct the test statistic \[\chi^2 = \frac{\sum(O - E)^2}{E},\] where \(O\) is the observed frequency in a cell in the frequency table and \(E\) is the fitted or expected frequency (the frequency expected in that cell under the fitted model), and where we sum over all usable cells.
The null hypothesis is that the sample comes from a specified distribution.
The value of the test statistic is then evaluated in one of two ways.
We convert it to a \(P\)-value, which is a measure of the strength of the evidence against the hypothesis that the data do follow the fitted distribution. If the \(P\)-value is small enough, we conclude that the data do not follow the fitted distribution – we say “the fitted distribution does not provide a good fit to the data” (and quote the \(P\)-value in support of this conclusion).
We compare it with values in published tables of the distribution function of the appropriate \(\chi^2\) distribution, and if the value of the statistic is high enough to be in a tail of specified size of this reference distribution, we conclude that the fitted distribution does not provide a good fit to the data.
3.2 Kolmogorov-Smirnov (K-S) test.
The K-S test statistic is the maximum difference between the values of the ecdf of the sample and the cdf of the fully specified fitted distribution.
The course does not emphasis on the Goodness of Fit Test. Please refer to the reference text for more details.


| Home | Trees | Indices | Help |
|
|---|
|
|
An 'OnlineFlow' is a sequence of nodes that are trained online and executed together to form a more complex algorithm. Input data is sent to the first node and is successively processed by the subsequent nodes along the sequence. Using an online flow as opposed to manually handling a set of nodes has a clear advantage: The general online flow implementation automatates the training (including supervised training and multiple training phases), execution, and inverse execution (if defined) of the whole sequence. To understand the compatible node sequences for an OnlineFlow, the following terminology is useful: A "trainable" node: node.is_trainable() returns True, node.is_training() returns True. A "trained" node: node.is_trainable() returns True, node.is_training() returns False. A "non-trainable" node: node.is_trainable() returns False, node.is_training() returns False. OnlineFlow node sequence can contain (a) only OnlineNodes (Eg. [OnlineCenteringNode(), IncSFANode()], or (b) a mix of OnlineNodes and trained/non-trainable Nodes (eg. [a fully trained PCANode, IncSFANode()] or [QuadraticExpansionNode(), IncSFANode()], or (c) a mix of OnlineNodes/trained/non-trainable Nodes and a terminal trainable Node (but not an OnlineNode) whose training hasn't finished (eg. [IncSFANode(), QuadraticExpansionNode(), a partially or untrained SFANode]). Differences between a Flow and an OnlineFlow: a) In Flow, data is processed sequentially, training one node at a time. That is, the second node's training starts only after the first node is "trained". Whereas, in an OnlineFlow data is processed simultaneously training all the nodes at the same time. Eg: flow = Flow([node1, node2]), onlineflow = OnlineFlow([node1, node2]) Let input x = [x_0, x_1, ...., x_n], where x_t a sample or a mini batch of samples. Flow training: node1 trains on the entire x. While node1 is training, node2 is inactive. node1 training completes. node2 training begins on the node1(x). Therefore, Flow goes through all the data twice. Once for each node. OnlineFlow training: node1 trains on x_0. node2 trains on the output of node1 (node1(x_0)) node1 trains on x_1. node2 trains on the output of node1 (node1(x_1)) .... node1 trains on x_n. node2 trains on the output of node1 (node1(x_n)) OnlineFlow goes through all the data only once. b) Flow requires a list of dataiterables with a length equal to the number of nodes or a single numpy array. OnlineFlow requires only one input dataiterable as each node is trained simultaneously. c) Additional train args (supervised labels etc) are passed to each node through the node specific dataiterable. OnlineFlow requires the dataiterable to return a list that contains tuples of args for each node: [x, (node0 args), (node1 args), ...]. See train docstring. Crash recovery is optionally available: in case of failure the current state of the flow is saved for later inspection. OnlineFlow objects are Python containers. Most of the builtin 'list' methods are available. An 'OnlineFlow' can be saved or copied using the corresponding 'save' and 'copy' methods.
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
Inherited from Inherited from |
|||
| Inherited from Flow | |||
|---|---|---|---|
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
| node |
|
||
|
|||
|
|
|||
| Inherited from Flow | |||
|---|---|---|---|
|
|
|||
|
Inherited from |
|
|
|
|
Keyword arguments: flow -- a list of Nodes crash_recovery -- set (or not) Crash Recovery Mode (save node in case a failure) verbose -- if True, print some basic progress information
|
|
|
|
|
Return the data iterable after some checks and sanitizing. Note that this method does not distinguish between iterables and iterators, so this must be taken care of later.
|
Train a single node in the flow. nodenr -- index of the node in the flow
|
|
|
|
|
Train all trainable nodes in the flow. 'data_iterables' is a single iterable (including generator-type iterators if the last node has no multiple training phases) that must return data arrays to train nodes (so the data arrays are the 'x' for the nodes). Note that the data arrays are processed by the nodes which are in front of the node that gets trained, so the data dimension must match the input dimension of the first node. 'data_iterables' can also be a 2D or a 3D numpy array. A 2D array trains all the nodes incrementally, while a 3D array supports online training in batches (=shape[1]). 'data_iterables' can also return a list or a tuple, where the first entry is 'x' and the rest are the required args for training all the nodes in the flow (e.g. for supervised training). (x, (node-0 args), (node-1 args), ..., (node-n args)) - args for n nodes if say node-i does not require any args, the provided (node-i args) are ignored. So, one can simply use None for the nodes that do not require args. (x, (node-0 args), ..., None, ..., (node-n args)) - No args for the ith node.
|
| Home | Trees | Indices | Help |
|
|---|
| Generated by Epydoc 3.0.1-MDP on Mon Apr 27 21:56:16 2020 | http://epydoc.sourceforge.net |


Xiaomi Mi CC9 Pro is officially official with 108MP camera
by Rei PadlaThe Xiaomi Mi CC9 Pro is presenting a new chapter in mobile phone imaging. The Mi CC series was launched earlier this year with three new Android phones. The new Mi CC9 Pro appears to be the most powerful beginning with the 108MP shooter. It boasts a penta-camera setup which is actually the highlight of the mobile device. We’ve seen several teasers before today’s official launch. A bunch of them were sighted on Weibo with major details including the colors, 30W super-fast charging support, camera samples, and a demo video.
The Xiaomi Mi CC9 Pro is now official. It really boasts a 108MP so no wonder it made it on top of the rankings on DxOMark. It’s actually tied with the Huawei Mate 30 Pro with a high score of 121.
The highly-teased smartphone runs on an 2.2 GHz octa-core Qualcomm Snapdragon 730G processor. There is a large 6.47-inch Super AMOLED screen with curved edges, 19.5:9 aspect ratio, and a Full HD+ resolution. There is a waterdrop notch that houses the 32MP F/2.0 selfie shooter.
In the camera department, the Penta-camera setup includes five cameras and four LED flashes (two dual). As expected, the 108MP camera takes advantage of the Samsung ISOCELL Bright HMX sensor. It’s not the first to use such as the Mi Mix Alpha phone, also from Xiaomi, had that honor.
Xiaomi’s Mi CC9 Pro is the first to use an F/1.7 8P lens but only on the Premium Edition. There’s also a 1/1.33-inch sensor for low-light conditions. Other imaging features include a telephoto cam with OIS that can offer 5x optical zoom (up to 50x with digital). The 20MP ultrawide angle cam comes with a 117-degree field of view. The smallest shooter is only a 2-10 cm macro lens. The 12MP telephoto lens with a depth sensor is for portraits.
Xiaomi Mi CC9 Pro is powered by a 5260 mAh battery with 30W PD fast-charging (58% in half and hour/full batt in 65 mins). Choose from the Midnight Black, Glacier White, and Aurora Green as color options. Xiaomi has installed Android 9 Pie topped by MIUI 11. We’re assuming it can be upgraded to Android 10.
You can now pre-order the phone beginning today for the November 11 market availability. Choose from either the 6GB RAM with 128GB storage or 8GB RAM with 256GB memory for only CNY2,799 and CNY3,099 ($400 and $440). The Xiaomi Mi CC9 Pro Premium Edition, the one reviewed on DxOMark, is priced at CNY3,499 ($500).


Web Client
GPIO Outputs
Example with led and buzzer connected.
Control GPIO outputs by setting state at LOW or HIGH.
Multiple pins can be used as one tile.
BCM Pinout
With reverse checkbox, colors of button can be reversed for LOW/HIGH state.
Tiles can be defined to act like:
- on/off switch (click will turn in on and next click will turn it off)
- pushbutton (click and hold will turn in on and release will turn it off)
GPIO Inputs
Example with hardware pushbutton:
Read GPIO inputs state by color.
Single pin can be used for one tile.
BCM Pinout
With reverse checkbox, colors of button can be reversed for LOW/HIGH state.
Software PWM Outputs
Example with servo connected.
Control Software PWM Outputs by turning PWM on or off, when turned on control frequency and duty cycle.
Multiple pins can be used as one tile.
BCM Pinout
With reverse checkbox, duty cycle slider can be placed up side down.
Custom shell commands
Example with python file:
import random
print random.randint(1,101)
Execute custom shell commands, this can be bash command or execution of script file in any language. Result will be saved according to what script/command print/return.
With wait checkbox checked client will wait (in the same thread as execution) for result and print it, otherwise seperate thread will be created.
Sensors
Example with DHT11, range and custom sensor.
Read predefined in config or custom sensors values.
If sensor is correctly defined in config and connected it will be automaticly listed here.
Custom sensor can be defined here.
Options:
- History save interval (seconds) - Defines how often the data from the sensor are to be save
- History range back (days) - Defines how big sensor log can be
For custom only:
- The unit will be displayed next to the value
- Gpio BCM (if custom sensor uses), it will prevent for that pins to used in other cases
- Data name - for info only
- Data source - it must be early defined with custom shell command (single execution must return only numeric value)
By selecting each sensors, values will be compared on chart.
Radio frequency Transmit/Recive Codes
At least one module must be connected and configured for this to work.
Each configured tile is seperate code for recive or transmit.
If code recive is detected it will be displayed in history, to transmit code click on configured tile.
Sniffer
It can be used to sniff all transmited codes in area.
I push buttons in rf remote in below gif.
Linked PI's
Link multiple pi devices (with rgc setup), this can be used for chains execution a cross them, or automation.
Both connections type (www or mobile) are supported.
Chain sequences
Runs multiple actions(bonds) one by one with one click. Built sequence can be runned multiple times afer execution (Loop countdown), if value there is -1 then sequence will be repeted until cancelation.
With <> icon execution order of bonds can be changed.
Bonds
To use specific bond type, source must be first configured in separate tab or in linked device.
Bonds(actions) types:
- Output - to change GPIO output state
- PWM - to disalbe/enable, set DC, set Frequency of soft. PWM
- Automated action - to trigger conditions check of configured automated action, if conditions are met then action will run
- Transmit Radio Frequency code
- Execude custom command
- Execude or cancel other chain
Each execution can be daleyed with specific time (seconds)
All actions can be runned on selected linked device, device must be online and rgc app active in time of configurtion and chain execution.
Example 1 - Blinking led and buzzer
Example sets on and off early configured GPIO output until will be canceled.
Automated actions
Configured action start automaticly when conditions(triggers) are met.
To use specific action type, source must be first configured in separate tab.
Actions types:
- Output - to change GPIO output state
- PWM - to disalbe/enable, set DC, set Frequency of soft. PWM
- Transmit Radio Frequency code
- Execude custom command
- Execude or cancel other chain
Number of executions can be limited by any number, -1 - unlimited.
Checkbox keep logs - if checked executed action will be saved in history log.
Triggers(conditions) will be checked every x seconds configured in "Thread refresh rate". By defult its 0,3s, you can increase this value if such reaction is not needed or if cpu usage is high.
Triggers
To use specific trigger, source must be first configured in separate tab or in linked device.
Triggers types:
- Exact date time
- Time of day
- Timer
- Week day
- Sensor value
- Input/Output state
- PWM state
- PWM frequency
- PWM dutycycle
- Run only in chain (if action will be used in chain sequence execution)
- Ping
- Recive RF
- Custom command output
- Linked Input/Output state
- Linked Sensor value
- Linked Recive RF
Most triggers types have configurable operator, example of use can be sensor value to trigger action when selected sensor value is bigger then 20 (eg. Sensor value > 20).
Conjunction pattern
If there is more then one trigger per action, conjunction pattern can be set.
By default all triggers conditions must be fulfilled in the same time for action to run. ('#1# and #2#' etc.)
Each trigger is a number in pattern (#trigger number#), we can use python conjunction syntax to enter patten of our own.
For example we have three triggers and we want to run action if at least one of them is activeted then pattern will be: #1# or #2# or #3#
Example 1 - Alarm when smoke detected
Alarm (early configured chain of blinking led and buzzer) will go on when smoke sensor (confugired on second linked pi device) change state.
Action is also limited to run only beetwen 2:00 and 9:00 o'clock.
Android Client
Connection
To connect to the server, connection must be first configured.
Make sure that address and port of the server are accesable from network witch phone is connected !
Widgets
Avalible widgets are:
- On/off GPIO output switcher
- Sensors reader
- Chains sequence executioner
Notifications
Android client can push notification when:
- GPIO output or input change state
- Sensor reach configured value
When 'precise' checkbox is checked, condition will alwes be cheked every interval(field) seconds. (This option can drain battery beceause phone can never enter to sleep mode). Without it condition will be checked as others aplications (15min/30min/12h/24h).
Example 1 - Notification when smoke detected
Android will notify if smoke(GPIO Input) is detected, with this configuration delay is max 15min.


{% extends 'AdminLTE/base.html' %} {% block dashboard %} Dashboard Home Dashboard Upload XES file Logs in system 6 Log preprocess and view {% endblock %}


| Profile Path |
[[item.profileState.profilePath]] |
| Local Profile Name |
[[item.profileState.localProfileName]] |
| Signin State |
[[item.profileState.signinState]] |
| Signin Required |
[[item.profileState.signinRequired]] |
| Gaia Name |
[[item.profileState.gaiaName]] |
| Gaia Id |
[[item.profileState.gaiaId]] |
| User Name |
[[item.profileState.userName]] |
| Hosted Domain |
[[item.profileState.hostedDomain]] |
| Supervised |
[[item.profileState.isSupervised]] |
| Omitted |
[[item.profileState.isOmitted]] |
| Ephemeral |
[[item.profileState.isEphemeral]] |
| User Accepted Account Management |
[[item.profileState.userAcceptedAccountManagement]] |
| KeepAlives |
| [[item.origin]] |
[[item.count]] |
|
| Signed Accounts |
|
| Loaded in Memory |
[[item.profileState.isLoaded]] |
| Has Incognito Profile |
[[item.profileState.hasOffTheRecord]] |


Noetica Hydraulics Management
Position
Controller Position (400...2000)
x:
unknown
y:
unknown
z:
unknown
Sculpture Position (0...660)
x:
unknown
y:
unknown
z:
unknown
Control
Set Mode
Manual Values (400-2000): x:
y:
z:
Auto Attract
Enable AutoAttract
AutoAttract Timeout (sec)
AutoAttract Movement Cancel
Set Motion Playback
Current Playback:
Edit Motion Playback
Rename Playback
Delete Playback
Old Name:
New Name:
Record Playback
Record


Woman reveals clever hack to stop her Christmas tree lights from getting tangled
It’s almost time to get your home looking festive. Which means dragging the dusty old box of decorations out of the attic.

Luckily, one woman has devised a super useful, time-saving hack which will mean you’ll never have to lose your mind unravelling those pesky cables again.
It couldn’t be simpler.
Chelsea young uses an empty cardboard toilet roll to prevent her Christmas tree lights from tangling up every year.
The 21-year-old says she loves setting up her Christmas tree, but hates untangling jumbled up fairy lights so much that she would often buy new ones because of it.
But, Chelsea, who’s a mum-of-two, made the connection that her headphones never get tangled because she had always wrapped them around her mobile – so she thought to try to do the same with her Christmas lights.
Advertisement Advertisement
Last year, she found an empty cardboard toilet roll and wrapped her lights around it before putting the whole thing safely away in storage.
This year, she unpacked her old Christmas lights to found they were good as new, and she was able to easily unroll them around the tree – tangle-free.
‘I got fed up with spending time untangling lights when I just want to get the tree decorated stress free so it’s enjoyable,’ says Chelsea.
‘Sometimes you accept defeat and go buy more and the cost will mount up in time.
‘I used to wrap my headphones around my phone and they’d never tangle so I thought I’d give the empty kitchen roll a go and if it works then great and if not try something else the following year.
‘I saved myself at least an hour or two untangling them.

Chelsea shared another tip for making the decorating process as stress-free as possible.
She suggested wrapping your Christmas tree with cling film with the fairy lights still attached, and simply unwrapping it the following year – saving time and effort of having to reassemble the decorations.
Advertisement Advertisement
Chelsea added: ‘Saves the fuss and time of trying to wrap and unwrap them round the tree each year.’
We are definitely trying this one.


Here we add eventListener to the browser object's event resize
When we resize the windows, the event is triggered


Gourd Light Artistry || About
Jane Mawson is a third generation artist living in Chestnut Hill, Pa., and is a graduate of Washington College in Chestertown Maryland. Jane takes inspiration from the Bauhaus tradition of unifying art and craft, design and function, in her work creating gourd lamps. Jane has shown her work in several galleries in the Philadelphia area, including the Abington Art Center and Accent Gallery in Ocean City, New Jersey. Jane will be one of the artists featured in the book ‘Creating Gourd Lights’ by artist Susan Nonn, to be published in early 2017.
I am excited to launch the Gourd Light Artistry website and welcome your views
on the work I have become so attached to doing over the past few years and which I hope I
to continue for many years to come.
Please feel free to contact me with questions and comments
on the Gourd Light Artistry Facebook page
and to purchase a lamp contact me at<EMAIL_ADDRESS>What is a Gourd?
A gourd is the hollow, dried shell of a vine fruit in the Cucurbitaceae plant family, similar to a cucumber or pumpkin. There are 2 main “types” of gourds, ornamental and hard shelled. Soft shelled, ornamental gourds are the type you see in the fall season and are generally used for temporary decorations. Hard shell gourds, once dried can last forever and are essentially a soft wood. There are dozens of varieties of hard shell gourds and their varying sizes and shapes have provided a multitude of functional, decorative and spiritual uses, such as containers and utensils, masks, musical instruments, jewelry, dolls and more. Gourds have been discovered in archaeological sites dating from as early as 13,000 BC, and were domesticated in South America, Asia, and Africa. If you travel to Turkey, you will find many gourd light artists whom I hope to meet if I get a chance to travel to this region. Their work is unique and has inspired me. If you’re interested in what I do you should view the work of Calabarte, perhaps the most well known and well regarded artist creating gourd lamps today from his home in Poland. His creations are incomparable and started me on this particular path.
Process of Creation
I consider myself more artisan than artist in that the work I do introduces old world manual skills, such as wood working and pyrography (the process of burning designs onto a surface) to create contemporary objects that blur the line between craft and art.
Isabelle Guesin, a professor of textile design at a well-regarded art academy in Paris says, “working with your hands is a slow, painstaking process that requires patience unseen in today’s society”. And I would go further to add that the practice of patience required in my work is a meditative act, quieting the daily grind of multitasking and demands each day brings. This has become especially true in a world where technology promises enrichment but fails to support our ability to concentrate and find meaning beyond our computer screens.
I think of my lamps as sculptures that become transformed through illumination at night, which in turn transform the spaces they are in, adding beauty and a ‘softening’ experience to the gazer. The inner membrane of the gourd is exposed through carving which acts as a screen for the light from inside. Depending on the depth of the carved surface, reds, oranges, and yellows are produced and the addition of hundreds of holes on the surface allows the light to pass out of the gourd directly and form patterns on walls and other surfaces which are close to the lamp when it is lit.
Pricing
My prices are based upon the complexity, scale, and time devoted to creating each lamp. From the initial cleaning of the dried gourd to the finished piece.
Fifty hours, if not more, are spent in the multi-layered process. In this context, the value of the lamps far exceeds the price paid. Please be assured that I also take into consideration what the market bears for similar work.
A percentage of the proceeds will be dononated to the ASPCA.


Load a SavedModel from export_dir
.
tf.compat.v1.saved_model.load_v2
tf.compat.v2.saved_model.load
tf.saved_model.load( export_dir, tags=None )
Signatures associated with the SavedModel are available as functions:
imported = tf.saved_model.load(path) f = imported.signatures["serving_default"] print(f(x=tf.constant([[1.]])))
Objects exported with tf.saved_model.save
additionally have trackable
objects and functions assigned to attributes:
exported = tf.train.Checkpoint(v=tf.Variable(3.)) exported.f = tf.function( lambda x: exported.v * x, input_signature=[tf.TensorSpec(shape=None, dtype=tf.float32)]) tf.saved_model.save(exported, path) imported = tf.saved_model.load(path) assert 3. == imported.v.numpy() assert 6. == imported.f(x=tf.constant(2.)).numpy()
Loading Keras models
Keras models are trackable, so they can be saved to SavedModel. The object
returned by tf.saved_model.load
is not a Keras object (i.e. doesn't have
.fit
, .predict
, etc. methods). A few attributes and functions are still
available: .variables
, .trainable_variables
and .__call__
.
model = tf.keras.Model(...) tf.saved_model.save(model, path) imported = tf.saved_model.load(path) outputs = imported(inputs)
Use tf.keras.models.load_model
to restore the Keras model.
Importing SavedModels from TensorFlow 1.x
SavedModels from tf.estimator.Estimator
or 1.x SavedModel APIs have a flat
graph instead of tf.function
objects. These SavedModels will have functions
corresponding to their signatures in the .signatures
attribute, but also
have a .prune
method which allows you to extract functions for new
subgraphs. This is equivalent to importing the SavedModel and naming feeds and
fetches in a Session from TensorFlow 1.x.
imported = tf.saved_model.load(path_to_v1_saved_model) pruned = imported.prune("x:0", "out:0") pruned(tf.ones([]))
See tf.compat.v1.wrap_function
for details. These SavedModels also have a
.variables
attribute containing imported variables, and a .graph
attribute
representing the whole imported graph. For SavedModels exported from
tf.saved_model.save
, variables are instead assigned to whichever attributes
they were assigned before export.
export_dir
: The SavedModel directory to load from.tags
: A tag or sequence of tags identifying the MetaGraph to load. Optional
if the SavedModel contains a single MetaGraph, as for those exported from
tf.saved_model.load
.A trackable object with a signatures
attribute mapping from signature
keys to functions. If the SavedModel was exported by tf.saved_model.load
,
it also points to trackable objects and functions which were attached
to the exported object.
ValueError
: If tags
don't match a MetaGraph in the SavedModel.


We no longer maintain the Cordova plugin for Estimote Beacons. We recommend using the generic iBeacon plugin instead, which works nicely with Estimote Beacons. Please see the iBeacon Starter Guide for further details.
Range Estimote Beacons. This app demonstrates how to scan for Estimote Beacons using ranging.
Run this example in Evothings Viewer, or build a Cordova app with the plugin phonegap-estimotebeacons. iOS 7 or later, or an Android device with support for Bluetooth 4.0 and Android 4.3 or higher, is required.
You can browse the source code for this example at the Evothings GitHub repository
The file index.html is the main HTML file of the app.
In file app.js you will find the JavaScript code for the app.
This example works with Estimote Beacons. Visit estimote.com for further details.
Run the app in Evothings Viewer on Android or iOS.
Optionally you can build a stand-alone native app using Cordova. You then need to include the Cordova plugin pl.makingwaves.estimotebeacons. For further details see the Cordova build guide.
An iOS device (iOS 7 or 8) or an Android device with support for Bluetooth 4.0 (which includes BLE) is required. For Android version 4.3 or later is needed.
Follow these steps to get started with this example:
To learn more, have a look at the GitHub page for the Estimote JavaScript plugin.


I'll be a call to action box with some cool effects
Welcome to the PET - High School Project
PET-HS is an innovative, student-centered physics curriculum that is designed to engage students in scientific reasoning and follows a guided scientific model- building approach. PET-HS is based on five design principles drawn from sociocultural and cognitive research that allow classrooms to become inclusive learning environments where students develop, share, critique, argue and revise evidence- based ideas.


Basic Operators
Operators are the constructs which can manipulate the value of operands.
Consider the expression 4 + 5 = 9. Here, 4 and 5 are called operands and + is called operator.
Types of Operator
Python language supports the following types of operators.
- Arithmetic Operators
- Comparison (Relational) Operators
- Assignment Operators
- Logical Operators
- Bitwise Operators
- Membership Operators
- Identity Operators
Let us have a look on all operators one by one.
Python Arithmetic Operators
Assume variable a holds 10 and variable b holds 20, then −
[ Show Example ]
| Operator | Description | Example |
|---|---|---|
| + Addition | Adds values on either side of the operator. | a + b = 30 |
| - Subtraction | Subtracts right hand operand from left hand operand. | a – b = -10 |
| * Multiplication | Multiplies values on either side of the operator | a * b = 200 |
| / Division | Divides left hand operand by right hand operand | b / a = 2 |
| % Modulus | Divides left hand operand by right hand operand and returns remainder | b % a = 0 |
| ** Exponent | Performs exponential (power) calculation on operators | a**b =10 to the power 20 |
| // | Floor Division - The division of operands where the result is the quotient in which the digits after the decimal point are removed. But if one of the operands is negative, the result is floored, i.e., rounded away from zero (towards negative infinity) − | 9//2 = 4 and 9.0//2.0 = 4.0, -11//3 = -4, -11.0//3 = -4.0 |
Python Comparison Operators
These operators compare the values on either sides of them and decide the relation among them. They are also called Relational operators.
Assume variable a holds 10 and variable b holds 20, then −
[ Show Example ]
| Operator | Description | Example |
|---|---|---|
| == | If the values of two operands are equal, then the condition becomes true. | (a == b) is not true. |
| != | If values of two operands are not equal, then condition becomes true. | (a != b) is true. |
| <> | If values of two operands are not equal, then condition becomes true. | (a <> b) is true. This is similar to != operator. |
| > | If the value of left operand is greater than the value of right operand, then condition becomes true. | (a > b) is not true. |
| < | If the value of left operand is less than the value of right operand, then condition becomes true. | (a < b) is true. |
| >= | If the value of left operand is greater than or equal to the value of right operand, then condition becomes true. | (a >= b) is not true. |
| <= | If the value of left operand is less than or equal to the value of right operand, then condition becomes true. | (a <= b) is true. |
Python Assignment Operators
Assume variable a holds 10 and variable b holds 20, then −
[ Show Example ]
| Operator | Description | Example |
|---|---|---|
| = | Assigns values from right side operands to left side operand | c = a + b assigns value of a + b into c |
| += Add AND | It adds right operand to the left operand and assign the result to left operand | c += a is equivalent to c = c + a |
| -= Subtract AND | It subtracts right operand from the left operand and assign the result to left operand | c -= a is equivalent to c = c - a |
| *= Multiply AND | It multiplies right operand with the left operand and assign the result to left operand | c *= a is equivalent to c = c * a |
| /= Divide AND | It divides left operand with the right operand and assign the result to left operand | c /= a is equivalent to c = c / ac /= a is equivalent to c = c / a |
| %= Modulus AND | It takes modulus using two operands and assign the result to left operand | c %= a is equivalent to c = c % a |
| **= Exponent AND | Performs exponential (power) calculation on operators and assign value to the left operand | c **= a is equivalent to c = c ** a |
| //= Floor Division | It performs floor division on operators and assign value to the left operand | c //= a is equivalent to c = c // a |
Python Bitwise Operators
Bitwise operator works on bits and performs bit by bit operation. Assume if a = 60; and b = 13; Now in binary format they will be as follows −
a = 0011 1100
b = 0000 1101
-----------------
a&b = 0000 1100
a|b = 0011 1101
a^b = 0011 0001
~a = 1100 0011
There are following Bitwise operators supported by Python language
[ Show Example ]
| Operator | Description | Example |
|---|---|---|
| & Binary AND | Operator copies a bit to the result if it exists in both operands | (a & b) (means 0000 1100) |
| | Binary OR | It copies a bit if it exists in either operand. | (a | b) = 61 (means 0011 1101) |
| ^ Binary XOR | It copies the bit if it is set in one operand but not both. | (a ^ b) = 49 (means 0011 0001) |
| ~ Binary Ones Complement | It is unary and has the effect of 'flipping' bits. | (~a ) = -61 (means 1100 0011 in 2's complement form due to a signed binary number. |
| << Binary Left Shift | The left operands value is moved left by the number of bits specified by the right operand. | a << 2 = 240 (means 1111 0000) |
| >> Binary Right Shift | The left operands value is moved right by the number of bits specified by the right operand. | a >> 2 = 15 (means 0000 1111) |
Python Logical Operators
There are following logical operators supported by Python language. Assume variable a holds 10 and variable b holds 20 then
[ Show Example ]
Used to reverse the logical state of its operand.Python Membership Operators
Python’s membership operators test for membership in a sequence, such as strings, lists, or tuples. There are two membership operators as explained below −
[ Show Example ]
| Operator | Description | Example |
|---|---|---|
| in | Evaluates to true if it finds a variable in the specified sequence and false otherwise. | x in y, here in results in a 1 if x is a member of sequence y. |
| not in | Evaluates to true if it does not finds a variable in the specified sequence and false otherwise. | x not in y, here not in results in a 1 if x is not a member of sequence y. |
Python Identity Operators
Identity operators compare the memory locations of two objects. There are two Identity operators explained below −
[ Show Example ]
| Operator | Description | Example |
|---|---|---|
| is | Evaluates to true if the variables on either side of the operator point to the same object and false otherwise. | x is y, here is results in 1 if id(x) equals id(y). |
| is not | Evaluates to false if the variables on either side of the operator point to the same object and true otherwise. | x is not y, here is not results in 1 if id(x) is not equal to id(y). |
Python Operators Precedence
The following table lists all operators from highest precedence to lowest.
[ Show Example ]
| Sr.No. | Operator & Description |
|---|---|
| 1 |
** Exponentiation (raise to the power) |
| 2 |
~ + - Complement, unary plus and minus (method names for the last two are +@ and -@) |
| 3 |
* / % // Multiply, divide, modulo and floor division |
| 4 |
+ - Addition and subtraction |
| 5 |
>> << Right and left bitwise shift |
| 6 |
& Bitwise 'AND' |
| 7 |
^ | Bitwise exclusive `OR' and regular `OR' |
| 8 |
<= < > >= Comparison operators |
| 9 |
<> == != Equality operators |
| 10 |
= %= /= //= -= += *= **= Assignment operators |
| 11 |
is is not Identity operators |
| 12 |
in not in Membership operators |
| 13 |
not or and Logical operators |


Facebook And Google Payments Efforts Top Week’s News
by PYMNTSWelcome to the PYMTS Weekender, where we recap the week’s biggest development in payments and commerce. This edition includes news about Facebook’s new payments push, Amazon’s new robotics plan and why Google is working more closely with financial institutions. The Weekender also includes the latest original research from PYMNTS.
Top News
Facebook Launches ‘Facebook Pay’ For Cross-App Payments
Users of Facebook Pay, which the company said is not related to its proposed cryptocurrency Libra, will be able to enter a preferred payment method and then use the option to eventually pay throughout all of the related apps.
Goldman Denies Discriminatory Apple Card Practices, Says It Will Reassess Limits
Goldman Sachs has promised to reevaluate how credit limits are determined for Apple Card users after being accused of gender discrimination.
Google Dives Into DDAs
Code-named Cache, the accounts will be handled by Citigroup and a credit union at Stanford University. The branding will reflect the financial institutions and not Google.
Deutsche Bank Admits Widespread Payment Failures To BoE
Deutsche Bank told U.K. regulators that it still has ongoing problems processing high-value payments despite more than three years of remediation efforts.
Amazon To Build $40M Robotics Innovation Hub Near Boston
Tye Brady, chief technologist at Amazon Robotics, said the new hub will speed-up innovation and will be a “world-class facility, where our teams can design, build, program, and ship our robots, all under the same roof.”
Reports and Trackers
Zillow: Tackling Real Estate’s $1.6T Money Laundering Epidemic
Governments are tightening know your customer (KYC) and anti-money laundering (AML) requirements on various industries out of increasing concern over fraud threats. Cryptocurrency companies that previously let customers remain anonymous will have to change their tunes in some countries, as will online gambling sites that provided fast onboarding at the expense of rigorous identity verification approaches.
New Data: How Subscription Box Merchants Can Contend In The Amazon Age
Consumers can access a wide range of retail products through subscription boxes, including meal kits, pet supplies and beauty items — to name a few options. These services are highly popular, with an estimated 41.2 million American adults subscribing to some type of subscription retail product offering.
Behind Regions Bank’s AI-Powered Digital-First Push
Recent PYMNTS research indicates that 34.8 percent of banking customers would be interested in switching their financial institutions if their branch experiences do not match their digital banking experiences.
Cool, Fund and Otherwise Interesting
Apple Pay Competition Practices Eyed By EU Regulators
Big Tech has gotten, is getting and will get its share of regulatory scrutiny. For Apple, there seems to be an increasing interest in its digital wallet, and how the firm is competing in the payments realm.
Google’s Growing Global Challenge To Amazon’s Voice Dominance
On their shared home territory of the U.S. market, Amazon and Google have spent the last two years avidly racing for control of the emerging world of digital voice controls, and striving to develop the voice-responsive artificial intelligence (AI) that consumers interact with on a daily basis. It is a race that Amazon is leading in the U.S. — and not by a small margin.
Does Nike Move Show An Amazon Weak Spot?
The knives were out for Amazon this week thanks to a major sneaker brand. But at this point, it seems unlikely that major changes are in store for the eCommerce operator.


In the long run, I’d love to combine my ‘natural’ skills with my newly-acquired ones. As I’ve already mentioned in my other blog post, one of my most important values is being there for and with a community, so I’d hopefully share my new skills with a company or an organisation that I personally care for. I’m still open as to in what form this would be - I have experience and skills in a couple of areas, but would love to just stick to one for a while, to hone it and finally leave my ‘Master on None’ label behind for good (though my personality type just naturally gravitates to trying out several things).
This brings me to the topic of my strengths and limitations, as they partially lie in areas of my personality. I’m curious about a lot of things, I can get excited and passionate about a lot of new concepts, topics, hobbies, but then struggle to juggle them all in a way to be able to follow each one of them consistently. Of course, that’s impossible (unless we clone ourselves or double the speed with which we do and process things), so the next sensible step usually would be to set priorities and focus on just one or two things at a time. And that is another work-in-progress-area of mine. I hate to be pinned down to one thing, seemingly not being able to keep any other options open. I have also seen how far this took me in life, whenever I had a ‘big’ goal, and I am very aware of this pattern to not get in the way of the potential of my EDA journey.
Sprints 1 and 2 already were very good lessons for me, especially in terms of prioritisation and time management. In both sprints, I let my ‘weaknesses’ take over a bit (one is being sidetracked by non-vital details of my blog structure, the other is sacrificing half a day to do an assignment for an external client).
I’ve applied some strategies for a smooth and non-distracted way of progressing through the programme - first of all, the Toggl app works really well for me, as I like being able to look back at the end of the day and see all my productive hours accumulated. I’ve also resorted to simple, but nutritious food to keep a good focus and not to spend too long in the kitchen (I kinda do a mix between food-prepping and eating oats for a quick meal).
One of my values is to not let other people down - therefore, I have no issues working in teams, delivering what they need on time (to my best abilities). I have a bit of practice thanks to my professional background having worked as a software tester - so I know that communication is key. It’s always better to share an opinion or an observation than to keep it to yourself. I’ll therefore try my best to be as clear, honest and kind in all my communications with everyone. We all want to achieve similar things, so I am confident that our cohort will get through boot camp as a solid unit where people support each other (as far as they can).
My approach to getting help follows the pattern of:
a) Trying to do or understand something in a different way, then
b) Researching about it. If that doesn’t give me a solution, then
c) Ask the cohorts or the facilitator for help.
The tricky bits in asking for help lie in the timing. It’s important, we all don’t spend too much time fiddling around aimlessly or not getting the results we need when researching on our own. That’s where a lot of potential for lost time lies, and I’ve already lost some time on researching things that aren’t vital in that moment, according to the learning outcomes.
I think the ultimate skill in this course is self-awareness and self-reflection. Even if we keep following a pattern of certain behaviour that we’d like to avoid - as long as we’re aware of it, we will ultimately profit heaps from ANY experience here at EDA and in our careers.


Home About me The School kid Phase The College Student Phase The IT Professional Phase My Dreams How I can help Connect with me Website Feedback Relevant Links Link #1 Link #2 Link #3 Link #4 Link #5


Google Update on a Schedule Overview
GoogleUpdate.exe on a Schedule Overview
Background
As mentioned in the release announcement, client software products have unique challenges, with one of the important challenges being keeping the product up to date. Deploying critical security fixes in a timely and effective manner is one key way that GoogleUpdate.exe, code name Omaha, helps keep users secure. Another benefit is that cool new features get deployed and adopted quickly.
Until now, Google Update would always run in the background, functioning primarily as a reliable scheduler performing update checks at periodic time intervals. The Google Update Core was primarily responsible for runnning the internal task scheduler. A secondary purpose of the Core was to handle crashes. The Google Update Update Worker did the actual update check, and updated any applications that had updates on the Omaha server.
Google Update now uses the Windows Task Scheduler to only run at periodic intervals. At the same time, the design is careful to ensure that automatic updates work just as reliably, and that users are just as safe and secure as before.
Requirements
The list of requirements includes:
-
Only run Google Update when needed and limit the amount of time it runs.
-
For handling crashes, GoogleCrashHandler.exe will be running and ready at the point where the Google application process starts. This is to allow for early crashes in an application to be caught. In addition, the application does not incur a startup delay waiting for the crash handler to start.
Design
A quick note on terminology: Google Update installs itself for the entire "Machine" when it is asked to install an application for all users. This is known as the "Machine instance" or the "Machine Case". In cases where Google Update installs a per-user application and itself as "User", this is known as the "User instance" or the "User case".
With the new design, the Google Update Core, as well as the Update Worker, will primarily run as tasks scheduled by the Windows Task Scheduler.
The Core scheduled task will have a trigger to run at logon only for the machine case, and a trigger to run at daily intervals for both user and machine.
The Update Worker task will be installed for both the user and machine cases. It will run at a fixed interval of one hour.
The existing mechanisms to launch the Core using the System Service for machine and the Run key for user are also being retained in case the Task Scheduler does not work as intended.
When the Core runs, it will do the following:
-
Do a Code Red check. This works like it worked before the architectural changes.
-
Exit if there is another instance of the Core running.
-
Check if all Omaha-supported applications have uninstalled, and if so, will start an uninstall Update worker. The Update worker will then uninstall Omaha. The Core will exit at this point and not do further processing.
Only when the Core or the Update Worker run will the uninstall check be performed. Omaha will not be actively monitoring the Clients key, to see if Omaha-supported applications have uninstalled.
-
If Omaha does not need uninstalling, start a plain-vanilla Update worker. The update worker will check if it needs to do an update check, and if not, shut down immediately. Update check intervals for Omaha are now configurable, as are update policies per Omaha application, using Group Policy. For more information, please refer to Omaha Group Policy Support.
-
Start a Crash Handler worker, GoogleCrashHandler.exe. The crash handler worker will check if usagestats are enabled for any application that Omaha supports, and if not, shut down immediately. For per-machine installs (HKLM), Omaha will also check ClientStateMedium in addition to ClientState, where the application can write the usagestats value. Like the existing ClientState key, there will be a subkey for each application.
If usagestats are enabled, the GoogleCrashHandler.exe will run all the time, and handle crashes. When a crash occurs, GoogleCrashHandler.exe will spawn an instance of the GoogleUpdate.exe constant shell to upload the crash.
-
The Core will exit at this point, if the following are all true:
-
the Task Scheduler is running.
-
the Update Worker scheduled task is installed, not disabled, and, if it has been more than 24 hours since the last install/update of Omaha, the task has run successfully in the past.
-
the Service is installed and enabled.
-
It has not been greater than 14 days since Omaha last successfully checked for updates.
-
If any of the above conditions are not true, the Core will run the internal scheduler, which runs the Update Worker. In other words, the Core will continue to run.
-
In this new architecture, the Google Update Service now supports the Elevator interface. If the Service is not installed for some reason, the Core will continue to run, in order to support the Elevator interface.
When the Update Worker runs it will do the following:
-
Check whether to uninstall Omaha and uninstall Omaha if needed.
-
Behave as before, in that it will check for and install updates to Omaha and applications.
Some notable changes:
-
The idle trigger is being eliminated for the scheduled tasks, because it offers limited robustness benefits, and has issues with the Core running too frequently.
-
There will now be two scheduled tasks installed for Omaha, one for the Core, and another for the Update Worker.
-
The Core scheduled task will have two triggers for machine, and one for user: The common trigger will run the Core task once every 24 hours. The additional trigger for machine will run the task at logon; this is a secondary kickoff mechanism for the machine case. Windows does not allow a "run only when logged on" task to have a logon trigger, hence Omaha does not have that trigger for the user case.
-
The Core task will have the default name of "GoogleUpdateTask[User|Machine]Core", or if that name is already taken, a name of the form "GoogleUpdateTask[User|Machine]{uniquestring}Core".
-
If the Core task name is not the default name, the unique name will be stored in the "Google\Update" registry under the "gupdate_task_name_c" named value.
-
The Update Worker task will have one trigger: run at fixed intervals of approximately one hour.
-
The Update Worker task will have the default name of "GoogleUpdateTask[User|Machine]UA", or if that name already exists, a name of the form "GoogleUpdateTask[User|Machine]{uniquestring}UA".
-
If the Update Worker task name is not the default name, the unique name will be stored in the "Google\Update" registry under the "gupdate_task_name_ua" named value.
-
When the Core runs, it will check for existence of the UA scheduled task. It does not care if the Core task is installed or not. If the UA task is not installed, the Core will run continously.
Addressing issues with using the Windows Task Scheduler
-
Credentials is an issue when creating a user task. The scheduler caches credentials for the user that registered the scheduled task and if the user password changes, then the task does not work anymore. This issue was worked around by creating a task that is launched only when the user is logged on, which does not have the credential caching issue.
-
There are cases where the scheduled task cannot be installed for some reason. For instance, a non-admin user on Windows Server 2003 does not have permissions to install scheduled tasks. This issue is addressed by the fallback mechanism to run the Core all the time.
-
If the machine is in a sleep state, there are some hardware configurations on which the scheduled task will not be scheduled. There are some reported hardware configurations on which the scheduled taks fail because of suspected ACPI interactions. These issues are addressed by the fallback mechanism to run the Core all the time in cases where Google Update detects that either the scheduled task has not run for a while or that it terminated with an error.
-
If the task fails for some reason, on certain Windows systems, a message is displayed to the user. There have also been reports of the Task Scheduler service failing in some cases. To address this issue, we are careful not to return any error to the Task Scheduler from the scheduled task process.


CORE.Entity Class
Constructor
CORE.Entity
-
name
Parameters:
-
name
StringName of the entity
Item Index
Methods
Events
Methods
createSubEntity
-
name
Creates an entity. Called from another entity object.
Parameters:
-
name
StringName of the Entity.
Returns:
Returns the created Entity object.
Throws:
Cannot create entity.
Example:
var semantics = new Semant();
var people = semantics.createOntology("People", "http://ppl.com");
var male = ont_people.createEntity("Male");
var female = ont_people.createEntity("Femal");
Properties
individuals
Object
Individuals of this entity
name
String
Name of the entity
ontology
Object
The ontology this entity is created under
parent
Object
Parent entity.
relIn
Array
The relationships where this entity is the range. What this variable stores is {relationship, entity}. For example in a relationship like Istanbul -in-> Turkey, the instance Turkey would store this this relationship in relIn as [[in, Istanbul]]
Default: []
relOut
Array
The relationships where this entity is the domain. What this variable stores is {relationship, entity} or {relationship, literal}. For example in a relationship like Istanbul -in-> Turkey, the Istanbul entity would store this relationship in relOut as [[in, Turkey]]
Default: []
subs
Object
Sub entities.
type
String
For identifying an instance
URI
String
URI of the entity
Events
addRelation
Adds a relation from an entity to another entity or literal.
Event Payload:
-
relation
ObjectThe object of relation to be added.
-
target
ObjectThe target object. Could be an entity or literal object.
Example:
var semantics = new Semant();
var geo = semantics.createOntology("Geo", "http://geo.com");
var in = geo.createRelation("in");
var turkey = geo.createEntity("Turkey");
var istanbul = geo.createEntity("Istanbul");
istanbul.addRelation(in, turkey);
makeSubEntity
Makes an entity a sub entity of another.
Event Payload:
-
parentEntity
ObjectParent object of this soon-to-be sub entity
Example:
var semantics = new Semant();
var alive = semantics.createOntology("Alive", "http://alive.com");
var people = ont_people.createEntity("People");
var male = ont_people.createEntity("Male");
var female = ont_people.createEntity("Femal");
male.makeSubEntity(people);
female.makeSubEntity(people);
// same as doing this:
// people.createSubEntity("Male");
// people.createSubEntity("Female");


Keyword Super
Provides parent class access.
Syntax
Super
Description
The Super keyword allows a method within an extended class to call a 'super class' method, ie. one defined in the class it is extended from.
See also
Self Extends Method
Language reference
Example
In this example, if 'superpowers' is True, method Fly from class Hero will print a string. If not, it will call the 'super' method Fly in class Human.
Class Human Method Fly () Print "No powers -- cannot fly!" End End Class Hero Extends Human Field superpowers:Bool = True Method Fly () If superpowers Print "Up, up and a--weee!" Else Super.Fly Endif End End Function Main () Local atomstar:Hero = New Hero ' atomstar.superpowers = False ' Uncomment to give up powers for love... atomstar.Fly End