Trees
Indices
Help
LLDB python API
[
hide private
]
[
frames
] |
no frames
]
Identifier Index
[
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y Z
_
]
R
range
(in
SBBlock
)
ReadThreadStop()
(in
SBCommunication
)
ResolveFileAddress()
(in
SBModule
)
range_regex
(in
Section
)
ReadUnsignedFromMemory()
(in
SBProcess
)
ResolveLoadAddress()
(in
SBTarget
)
ranges
(in
SBBlock
)
RedirectToFile()
(in
SBStream
)
ResolvePath()
(in
SBFileSpec
)
ranges_access
(in
SBBlock
)
RedirectToFileDescriptor()
(in
SBStream
)
ResolveSymbolContextForAddress()
(in
SBModule
)
re_compile_type
(in
symbols_access
)
RedirectToFileHandle()
(in
SBStream
)
ResolveSymbolContextForAddress()
(in
SBTarget
)
Read()
(in
SBCommunication
)
registers
(in
SBFrame
)
Resume()
(in
SBThread
)
read_data_helper
(in
SBData
)
regs
(in
SBFrame
)
return_value
(in
SBThread
)
read_py_command()
(in
SimpleREPL
)
RemoteAttachToProcessWithID()
(in
SBProcess
)
ReturnFromFrame()
(in
SBThread
)
ReadCStringFromMemory()
(in
SBProcess
)
RemoteLaunch()
(in
SBProcess
)
right
(in
stdmap_iterator_node
)
ReadInstructions()
(in
SBTarget
)
RemoveListener()
(in
SBBroadcaster
)
right()
(in
StdMapSynthProvider
)
ReadMemory()
(in
SBProcess
)
RemoveModule()
(in
SBTarget
)
run_one_line()
(in
lldb.embedded_interpreter
)
ReadPointerFromMemory()
(in
SBProcess
)
ReplaceExpressionPathAtIndex()
(in
SBTypeFilter
)
run_python_interpreter()
(in
lldb.embedded_interpreter
)
ReadRawData()
(in
SBData
)
ReportEventState()
(in
SBProcess
)
runtime
(in
lldb
)
ReadThreadIsRunning()
(in
SBCommunication
)
resolve_addr()
(in
Address
)
RunToAddress()
(in
SBThread
)
ReadThreadStart()
(in
SBCommunication
)
ResolveExecutableLocation()
(in
SBFileSpec
)
Trees
Indices
Help
LLDB python API
Generated by Epydoc 3.0.1 on Fri Jul 19 13:22:32 2013
http://epydoc.sourceforge.net


{% extends "base.html" %} {% block title %} - Something's missing{% endblock %} {% block content %}
Please check your input and try again
Alternately, return home


Random sequence generation (selection bias) hii: |
Allocation concealment (selection bias) a —E TT
Blinding of participants and personnel (performance bias) kk _ | Blinding of outcome assessment (detection bias) I —t—CtCSCS~S Incomplete outcome data (attrition bias) PC
Selective reporting (reporting bias) I —ti(<CtCSCS~S'
other bias
be 0% 25% 50% 75% — 100%
a Unclear risk of bias High risk of bias


Spaceship Racer is a simple endless racing game.  Drive your spaceship and avoid other spacehips. Your ship will be faster and faster if you can manage yourship to not crash.
Guess random number between 1 - 999. This game is absolutely free. No Ads. No IAP. No Internet Connection.
Once in a barren world, there grew a small Potato. Lonely and forlorn, the Potato wanted to destroy the world Until a goddess gave him a Mystical Harp, "Play this, and your world will change." // How To Play: Move the Potato's Heart by swiping up and down. Collect the notes and change the world!


@(Roles)
@(You can choose the application roles.)
@(Users filtering)
@(Organization unit)
@(Company)
@(Locality)
@(Group)
@(Role)
@(Only users with flag
customer
)
@(Only users with flag
administrator
)
@(Execute)
@(Back)
@(URL address to
openplatform.json
)
@(Title)
@(Custom settings)
@(Access token)
@(Generate token)
@(Permissions for this application)
@(Application is blocked)
@(Allow push notifications)
@(Allow for mobile devices)
@(Allow to read OpenPlatform's meta information)
@(Enable server-side verification)
@(Read user profile)
@(Read list of users)
@(Read list of applications)
@(SUBMIT)
@(Cancel changes)


Credit Fraud checker...
Spam Detector For SMS Messages
Here is your Awaited result...
{% if prediction == 1 %}
According to model == Not a fraud trasaction..
{% elif prediction == -1%}
According to model == A Fraud trasaction..
{% endif %}


COACHING
For those who benefit from direct individual attention and guidance we offer coaching packages. We can help if you are looking to get a jump start on a goal, gain help in overcoming a current setback, or want a coach by your side through your entire Positive Direction journey.
WORKSHOPS
Workshops are available for your organization, coroporation, or community group. We help curate a presentation specific to you and your organizations goals.
Candice Johnson, a celebrated motivation speaker, and creator of Positive Direction, curates individualized presentations to educate and inspire groups of all sizes.


Overview¶
Programming SimulaQron¶
There are two ways to program SimulaQron to run applications. The first is to use SimulaQron’s native interface via Twisted Perspective Broker. This interface is specific to Python, and not (easily) accessible from other languages. We will call this interface SimulaQron’s native interface throughout. While you may play with simple applications this way, the main purpose of this interface is to allow the development of higher protocol layers and abstractions which will ultimately be used to program quantum networks. In the light of the alternate interface below it may appear inefficient to export an intermediary interface. However, the purpose of SimulaQron is precisely to explore and play with higher layer abstractions on top of any hardware, or its simulated version, SimulaQron. As such it is best to think of SimulaQron as a piece of simulated hardware with its own native interface, which we may first abstract into a higher level command language for programming. Examples of how to program SimulaQron in native mode can be found in Programming via SimulaQron’s native Python Twisted Interface (specific to SimulaQron).
The second way to run applications is via a higher level interface bundled with SimulaQron, called the classical-quantum combiner (CQC) interface. This interface is universally accessible from any language. It comes with a C and Python library, where the Python CQC is definitely the best place to get started if you have never programmed SimulaQron before. An evolved version of a C library and interface is targeted to be available on the planned 2020 quantum internet demonstrator connecting several Dutch cities. If you want your applications to later use real quantum hardware more easily instead of SimulaQron, then this is the interface to use. Internally, the CQC included in this package, uses SimulaQron’s native interface from above in place of real quantum hardware. Examples of how to program using the CQC can be found in Programming via the Classical-Quantum Combiner Interface.
Practically, SimulaQron’s Backend is a server process running on each local classical computer, emulating quantum hardware. The backend can be programmed directly using Twisted PB aka native mode. For clarity, not efficiency, the CQC Backend is a separate server process, which connects to the SimulaQron backend using Twisted PB. It accepts incoming connections, and using a general packet format can be programmed using any programming language. Libraries for C and Python are provided. If you are starting out, programming in the Python CQC library is by far the easiest way to get going! Further information about the Python library can be found in Using the Python library: and explicit examples using this library in Examples using the python library:.
How SimulaQron works internally¶
Let us here briefly sketch how the SimulaQron backend works internally. Further details can be found in an upcoming arXiv paper once we release the full version. This simulator consists of two parts and has a relatively modular design:
Virtual quantum nodes¶
A virtual quantum node is a server program running on a particular computer that pretends to be quantum hardware, simulating qubits and quantum communication. That is, you may think of these nodes as fake hardware programmable directly via SimulaQron’s native interface. Each node presents a number of virtual qubits for you to use. These virtual qubits would correspond to the physical qubits available at this node, would this be a real physical implementation of the quantum network node. By connecting to the virtual quantum node server, a client program that depends on using quantum hardware, may manipulate these qubits as if they were local physical qubit and also instruct to send them to remote nodes. The virtual quantum node servers are identifies by their common names (eg Alice, Bob, Charlie), and amongst themselves connect classically to form a virtual simulation network as a backend.
An important internal element in SimulaQron is the distinction between virtual qubits and simulated qubits. Virtual qubits are the qubits as they would be present in real quantum hardware. A virtual qubit is local to each virtual quantum node server and may be manipulated there. Each virtual qubit is simulated somewhere, by a simulated qubit. Importantly, this simulated qubit may be located at a different simulating node than the node holding the corresponding virtual qubit. To see why this is necessary, note that entangled qubits cannot be locally represented by any form of classical information (hence the quantum advantage of entanglement in the first place!). As such, if two (or more) virtual nodes share qubits which are somehow entangled with each other, then these qubits will actually need to be simulated at just one of these nodes. That is, they appear to be virtually local (as if they were real physical qubits), yet they are actually simulated at just one of the network nodes. As you might imagine, this also means that if we want to perform an entangling gate between two qubits which are virtually local, but actually simulated in two different backend quantum registers, then a merge of these registers is required before the entangling gate can be exectuted. This is all handled transparently by the backend provided here. For programming network applications using SimulaQron you will not need to deal with this backend simulation.
Nevertheless, as a guide to the backend, it consists of three essential components:
- quantumEngine - the one used here is implemented as simpleEngine in crudeSimulator.py which uses quTip as a backend. This corresponds to one quantum register full of qubits across which gates can be performed. Should you wish to use a different backend, you may wish to add a different engine.
- simulatedQubit - for each qubit simulated in that register, there is a simQubit object. This is local to each node. It exports remote method calls. These methods are only called by the virtual node network itself: when a virtual node discovers the qubit is actually simulated remotely, it passes on this call by calling the relevant method on the remote qubit object.
- virtualQubit - this is the object representing a virtually local qubit. This carries information about the remote simulating qubit. These virtualQubit objects can in turn be accessed by the clients who can access these virtual qubits as if they were real local physical qubits without having to know where they are actually simulated. That is, the client obtains a pointer to the relevant virtual qubit object on which it can perform operations directly.
- virtualNode - this is the local virtual node which accepts requests to get a virtual qubit object, send qubits to other nodes, or (for convenience sake), read out the state of qubits.
- backEnd - starts up the virtual node backend
The local client engine¶
The second part is a framework for writing applications that use the virtually simulated quantum network. Such an application needs to connect locally to the virtual quantum node server simulating the underlying hardware (for programming in native mode), or to the CQC interface. It is up to these applications to exchange any classical communication required to execute the protocol.
Report bugs and contribute¶
Bugs and feature requests¶
For bugs, feature requests, suggestions or other general questions please use GitHubs issue tracker in the repository (located under ‘Issues’ on the main page of the repository). Please start your message with specifying one of the four labels below for easier handling of issues, for example:
Type: bug
There is a bug when applying the gate...
Always provide enough information to assess the issue and seperate different issues into different messages.
- bug: This is for bugs that are encountered. Please provide a way to reproduce the bug, preferably with a minimal example, and explain what goes wrong.
- feature request: Is there a feature that you think should be provided? Explain the details of the feature and why you think this should be implemented.
- help wanted: If there is something you having trouble with but which is not necessarily a bug. Also use this for other general questions.
- suggestions: If you have suggestions on how to improve the features already existing. Be clear on what exactly you think should be improved and explain why.
Contribute¶
If you would like to contribute with your own code to fix a bug or add an additional feature, this is most welcomed. Please then make a pull request on GitHub, which will be reviewed before approval. For contributing use the Develop-branch. Please make sure you run the automated tests below before submitting any code. The easiest way to proceed is to:
- Fork the repository at the Develop-branch.
- Make the changes and commit these to your forked branch.
- Make a pull request between your branch and the Develop-branch. Also provide a message which explains the changes and/or additions you have made.
Automated tests¶
There are number of automated tests that test many (but not all) of the features of SimulaQron and the CQC interface. See Getting started for how to run these. Some of the automated tests use quantum tomography and are thus inherently probabilistic. Therefore if you see that one of these fails, you can try to run the test again and see if it is consistent.
Some features are at the moment not included in the automated tests, these are:
- The possibility to add a sequence of extra operations to be executed after an initial command.
- Use the factory to execute a command repeatedly.


Created by:
Github Username:
Ping-Pong will count up to your number from 1 with the following exceptions:


--- layout: post title: LCOV/GCOV date: 2012-05-28 19:35:49.000000000 -04:00 categories: - Linux - Python - Scripting - Software tags: [] status: publish type: post published: true meta: dcssb_short_url: http://su.pr/1KFoRx _syntaxhighlighter_encoded: '1' _edit_last: '2' author: login: admin email<EMAIL_ADDRESS>display_name: truth first_name: '' last_name: '' ---
Long time, I know. I'm not fulfilling my blogging duties lately, and although I've been busy it still not a good enough excuse. One post every three months or something like that... really not acceptable. Anyway, hopefully I can pick up the slack in the near future and make up for the lost time.
Anyway, cutting the chase. Recently I was asked at work to increase the code coverage for a bunch of regression and unit tests. The framework used is based around python's unit test framework, and the actual code to run the test's on is C/C++. Although some additional work had to go to create the python wrappers+bindings using boost::python, this allowed to write fairly convoluted and advanced blackbox modular tests for C/C++ code with the ease and comfort python provides. I'm personally quite comfortable and happy with the CppUnit framework, but I have to admit python allows to code things very quickly.
Prior to this little task I was familiar with gcc's gcov and what a helpful tool it was to evaluate code coverage for unit tests:
What I wasn't quite aware was of the amount of data that was actually stored into gcov's data files (with .gcda extension). This is where lcov enters the game to generate some outstanding and impressive HTML reports for the corresponding code. I will get right back to this. Gcov is real similar to gprof and both work together very well to deliver some very detailed profiling information. They both require their corresponding flags activated at compile-time, -ftest-coverage and -pg respectively, to instrument the code appropriately and generate files necessary to reconstruct all runtime information. In the case of gcov these are the .gcno files which contain information to reconstruct the basic block graphs and assign source line numbers to blocks.
Once you run your tests, the .gcda files are created with the mentioned runtime info. Lcov will the parse everything to generate reports like the following (I am unable to post reports for our reports, but here are some publicy available examples):
The examples shown above are for php code (there a gcov implementation for that), but I can guarantee the reports are pretty much identical for C/C++ code. But it gets better. Lcov is recursive, so if you have a medium/large project with several modules, libraries, which are independent in their own right, as long as they're all under the same source tree lcov will do a great job at finding the results for each and every one of those modules and creating an HTML report tree that will let you navigate easily over them. Well, I actually had to hack a little script for that to be as seamless as it sounds, so here it goes:
{% highlight bash %} #!/bin/bash # # this script assumes your project has a source tree structure as follows: # # PROJ/ # MOD_1/ # MOD_2/ # ... # MOD_n/usage() { echo "usage: `basename $0` [options]" echo -e "tThis script generates gcov coverage reports.n" echo -e "Options:" echo -e "t-d DIRt: Indicate project dir.nn" echo -e "t-bt: generate baseline info (Call before running tests)." echo -e "t-tt: generate total info (Call after running tests)." echo -e "t-r DIRt: generate HTML reports and place in specified DIR(Call after running tests).nn" echo -e "t-ct: clean all gcov files in project dir." echo -e "t-qt: Quiet." echo -e "t-ht: Show this help message.nn" }
ERRORS=0 GCDAS="" GCNOS="" CLEAN= QUIET= BASELINE= TOTAL= HTML= HTMLDIR= PJDIR=. while getopts "hcbtqr:d:" OPTION do case $OPTION in h) usage exit 1 ;; c) CLEAN=1 ;; q) QUIET=1 ;; d) PJDIR=$OPTARG ;; b) BASELINE=1 ;; t) TOTAL=1 ;; r) HTML=1 HTMLDIR=$OPTARG ;; ?) usage exit ;; esac done
if [[ -z $BASELINE ]] && [[ -z $TOTAL ]] && [[ -z $HTML ]] && [[ -z $CLEAN ]]; then echo -e "No appropriate option flag passed!n" usage exit 1 fi
if [[ $BASELINE == 1 ]]; then echo "Generating baseline info files..." for i in $(find $PJDIR -maxdepth 1 -type d | awk '{ if (NR != 1) { print } }' | sed 's/.///'); do # for j in $(find $PJDIR/$i -type f -name "*.gcno" -exec dirname {} ;); # do # GCNOS=" $GCNOS -d $j" # done
if [[ ! -z $QUIET ]]; then lcov -c -i -d $PJDIR/$i -o ${i}_baseline.info >/dev/null 2>&1 else lcov -c -i -d $PJDIR/$i -o ${i}_baseline.info fi
done echo "You may now run your regression." exit 0; fi
if [[ $TOTAL == 1 ]]; then echo "Generating test info and gcov files..." for i in $(find $PJDIR -maxdepth 1 -type d | awk '{ if (NR != 1) { print } }' | sed 's/.///'); do # for j in $(find $PJDIR/$i -type f -name "*.gcda" -exec dirname {} ;); # do # GCDAS=" $GCDAS -d $j" # done if [[ ! -z $QUIET ]]; then lcov -c -d $PJDIR/$i -o $PJDIR/${i}_test.info >/dev/null 2>&1 lcov -a $PJDIR/${i}_baseline.info -a $PJDIR/${i}_test.info -o $PJDIR/${i}_total.info >/dev/null 2>&1 else lcov -c -d $PJDIR/$i -o $PJDIR/${i}_test.info lcov -a $PJDIR/${i}_baseline.info -a $PJDIR/${i}_test.info -o $PJDIR/${i}_total.info fi GCDAS=""
if [[ ! -z $? ]]; then ERRORS=1 fi done fi
if [[ $HTML == 1 ]]; then echo "Generating html reports..." for i in $(find $PJDIR -maxdepth 1 -type d | awk '{ if (NR != 1) { print } }' | sed 's/.///'); do if [[ -e $PJDIR/${i}_total.info ]]; then mkdir -p $HTMLDIR/${i} if [[ ! -z $QUIET ]]; then genhtml -o $HTMLDIR/${i} $PJDIR/${i}_total.info >/dev/null 2>&1 else genhtml -o $HTMLDIR/${i} $PJDIR/${i}_total.info fi
if [[ ! -z $? ]]; then ERRORS=1 fi fi done fi
if [[ $CLEAN == 1 ]]; then echo "Removing info files..." rm $PJDIR/*_baseline.info rm $PJDIR/*_test.info rm $PJDIR/*_total.info echo "Removing gcda files..." find $PJDIR -type f -name "*.gcda" -exec rm -f {} ; fi
if [[ ! -z $ERRORS ]]; then echo -e "\033[1mWARNING\033[0m:tScript completed succesfully but there were non-critical errors." if [[ $QUIET == 1 ]]; then echo -e "ttconsider running the script in verbose (non-quiet) mode." fi fi {% endhighlight %}
A quick note, for gcov to be able to correlate the execution data, the .gcno and .gcda files should contain the same timestamp tag. This basically means that both files should be generated by objects (binaries) from the same build run. This makes perfect sense, if the gcno and gcda's are not for the same source, then they simply cannot be used together. The problem is that when you have a modular project, you can have partial builds where you rebuild a single module. Now, if that source references objects/functions/methods/... from any of the other modules that were not recompiled you will start getting some bogus results. The LCOV reports will get generated, but they'll report a whole lot of 0% coverage stats. The cause is differing build runs for the modules involved. Everything should be fine if you recompile the entire project (all modules) in the same build run.
Other than the standard GCC Gcov and LCOV documentation I highly recommend this article.
You can also find this script (and others) in my github scripts repo.


GIESU
Dashboard
Profile
Admin
Add concepts and relationships to formulate a query
may_treat example
Add to Query
Get Info
Query concepts
Submit query
View the results in a graph
Please enter:
One Concept to search for all relations, parents, children and properties.
Two Concepts to search for all relations between them.
One Concept and a relation to find other concepts that are connected with this relation.
View the results in a graph
Select a locale:
en
nl
node
id
label
Information in tables
Please Select/Deselect from tables in tabs below and
Redraw Graph
Relationships
Parents
Children
Properties
Fetch Concept's relationships
Fetch Concept's Parents
Fetch Concept's Children
Fetch Concept's Properties
Concepts are imported from the I2E through a REST interface: "aspirin"+"toxicity"
Jena reasoning engine is used to "understand" the query and if a specific course of action must be followed:
IF (a drug and an effect(e.g toxicity) are mentioned) THEN (look for drug-ingredients relations)
From the NIH using the https://id.nlm.nih.gov/mesh/sparql endpoint
For the query:
The Query is...
Results in a table:
Fetching ontology data...
From the bioportal using the http://sparql.bioontology.org/sparql/ endpoint
For the query:
The Query is...
Results in a table:
Fetching ontology data...


Event management firm staff arrested for showing nude pictures to teenager
by PTITwo staff members of an event management firm were arrested for allegedly showing nude photographs to a 19-year-old girl, the Mumbai Police said on Sunday.
A Nehru Nagar police station official identified them as Sanjay Kumar Gupta (42) and Sachin Kadam (35), residents of Kalyan and Andheri.
“The victim is also an event management professional from Navi Mumbai. She was told by a friend to meet Mr. Gupta for help in expanding her business,” he said. Mr. Gupta called the girl to Kurla railway station on Friday where the two were joined by Mr. Kadam.
“Gupta and Kadam showed her a nude photograph and indulged in obscene talk, asking her to take part in a nude event. The victim called her parents who arrived there, beat up the two men and handed them over to the police,” the official said.
Both have been charged under Sections 509 (word, gesture or act intended to insult the modesty of a woman), 354A (sexual harassment) of the Indian Penal Code, Nehru Nagar senior inspector Vilas Shinde said.


## LunchTalk: Swift Jira Demo ### Why this? ### Why Swift? ### Why Jira ?!? Note: ville koda lite i ett nytt språk hitta ngt som skulle ge mening, inte en ToDo app personligt mål att hämta data från Jira och processa den på olika sätt e perfekt
## Swifty Intro #### Swift was released 2014 became open source with version 2.2 currently at version 5.1.4 Note: Mac Linux, open source finns till windows... old compiler generellt multi-paradigm kompilerat influenser från Objective-C, Rust, Haskell, Ruby, Python, C#, CLU ### big new feature: SwiftUI Design apps in a declarative way ##### more on that later... Note: That’s a fancy way of saying that we tell SwiftUI how we want our UI to look and work, and it figures out how to make that happen as the user interacts with it.
## A language is more than syntax... It is a collection of many pieces of software... - compiler / tooling - ide / language support in editors - build system - package manager Note: provade xcode provade package manager, den numera inbyggda i Swift provade vscode, med plugins. - svårare med ok provade linux ## ... but I really like the syntax some of the stuff I like - if let - guard - closure (lamda) Note: if let | Use optional binding to find out whether an optional contains a value, and if so bind it guard | for cases in which code should stop executing if some condition is unmet closure | trailing syntax kommer att visa lite av koncepten i demo
>
## Jira ## Numbers, numbers, numbers ### Jira has them ... Wanted a helper to do commitment estimates Wanted a helper to do biweekly point count Wanted a helper for orphan issues ### Use case 1 How to get a list of issues contained in a list of epics. How to get the points for each issue and calculate a sum for all the issues. ... ~~Structure~~ Note: Yes I know, Structure ## Use case 2 How to get a list of issues that are resolved as done and get the sum of those issues ... again ~~Structure~~ right? __curve ball__ ### if a issue does not have a point, who do you ask? - check if issue has a branch, see what repo - if we have a branch, see who is the author of the last commit - if no branch exist, see who was assigned - if no one was assigned, check with the creator of the issue. Where is you Structure now :)
>
## Demo Note: use case 1, swift run jh-console --keys pa-5754 pa-5242 pa-5809 use case 2, swift run jh-console --lastweeks show the repo, swift run jh-console --lastweeks 1
>
## More on SwiftUI #### There is another... ... ... Use case (read as Yoda would have said it) ## Use case 3 See how the current commitment is going on the go -> mobile app see how many of the epics at 99%, 60% and 30% have been started. see how many issues in each epic are done, get a feeling for how the epic is moving
>
## Final Demo Note: visa iphone appen, i simulator och på min iphone


Who am i
hello
I'm a Front End Developer Lahore based, who loves to create intrective webapplications as will as components through clean, & upto the mark code. I also enjoy making small SPA’s, enterprise applications,
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec quis erat sed elit sceleris Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec quis erat sed elit scelerisque iaculis. Nullam nec porttitor justo, at iaculis risus. Aliquam erat volutpat. que iaculis.
checkout my profileawesome projects
my work
servaid
Technologies
html, scss, js, gulp
Lorem ipsum dolor sit amet, con- sectetur adipiscing elit. Donec quis erat sed elit sceleris Lorem ipsum dolor sit amet,
how i work
process
what i do
innovation
Helping enterprises
innovate
We helped ADP, the world’s largest HCM solutions provider, design and build their iPad app — as well as create an overarching design framework and style guide.
Azhar is calm, yet one of the energetic and postive personalties that I had a chance to work with. He is best in his designs and have courage to refine them to their perfection. wish him good luck!
Anthony


Here I show how to implement a model close to the most widely used ones, in which boundary layer conductances are high, cuticular conductance is 0, all stomatal conductance is through the lower (abaxial) leaf surface, and there is a single mesophyll conductance. The advantage of this approach are that is its simplicity. You can ignore several complexities such as:
If these complexities are important to you, consider more complex models you can implement with photosynthesis. But, if you don’t care, here’s how to make things simple:
library(photosynthesis)
bake_par = make_bakepar() # temperature response parameters
constants = make_constants(use_tealeaves = FALSE) # physical constants
# leaf parameters
leaf_par = make_leafpar(
replace = list(
# Set cuticular conductance to 0
g_uc = set_units(0, mol / m^2 / s),
# All conductance through lower stomata and mesophyll
k_mc = set_units(0, 1),
k_sc = set_units(0, 1)
),
use_tealeaves = FALSE
)
enviro_par = make_enviropar(use_tealeaves = FALSE) # environmental parameters
photo(leaf_par, enviro_par, bake_par, constants, use_tealeaves = FALSE) |>
dplyr::select(g_sc, A) |>
knitr::kable(caption = "Stomatal conductance to CO2 (g_sc) and net photosynthetic carbon assimilation (A) from C3 photosynthesis model.")
| g_sc | A |
|---|---|
| 0.4 [mol/m^2/s] | 26.37885 [umol/m^2/s] |
Most leaves, especially on woody plants, are hypostomatous (Muir 2015) meaning that all the stomatal conductance is through the lower (abaxial surface). But many fast-growing herbaceous species, especially crops (Milla et al. 2013), are amphistomatous. There are not a lot of measurements of how much conductance occurs through each surface (but see Wall et al. 2022), but we assume that if stomata are present on both leaf surfaces there is CO2 flux through each surface. For amphistomatous leaves, I suggest explicitly modeling conductance through the internal airspace (\(g_\mathrm{ias,c}\)) and liquid phase (\(g_\mathrm{liq,c}\)). As of version 2.1.0 this is possible in photosynthesis. Here’s a simple example:
library(photosynthesis)
bake_par = make_bakepar() # temperature response parameters
constants = make_constants(use_tealeaves = FALSE) # physical constants
# leaf parameters
leaf_par = make_leafpar(
replace = list(
# Set cuticular conductance to 0
g_uc = set_units(0, mol / m^2 / s),
# Half of conductance through each surface
k_mc = set_units(0, 1),
# airspace conductance: define effective distance through airspace
# See Nobel (2020) pg. 431
delta_ias_lower = set_units(100, um),
delta_ias_upper = set_units(100, um),
# liquid conductance: sum of cell wall, plasma membrane, and cytosol resistance
# We are implicitly ignoring chloroplast resistance
# See Nobel (2020) pg. 448-452
A_mes_A = set_units(20, 1),
g_liqc25 = set_units(0.02, mol / m^2 / s),
k_sc = set_units(1, 1)
),
use_tealeaves = FALSE
)
enviro_par = make_enviropar(use_tealeaves = FALSE) # environmental parameters
photo(leaf_par, enviro_par, bake_par, constants, use_tealeaves = FALSE) |>
dplyr::select(g_sc, g_iasc_lower, g_iasc_upper, g_liqc, A) |>
knitr::kable(caption = "Stomatal conductance to CO2 (g_sc), internal airspace resistance through lower and upper surfaces (g_iasc_x), liquid-phase conductance (g_liqc), and net photosynthetic carbon assimilation (A) from C3 photosynthesis model.")
| g_sc | g_iasc_lower | g_iasc_upper | g_liqc | A |
|---|---|---|---|---|
| 0.4 [mol/m^2/s] | 6.146029 [mol/m^2/s] | 6.146029 [mol/m^2/s] | 0.02 [mol/m^2/s] | 27.4933 [umol/m^2/s] |
Muir CD. 2015. Making pore choices: repeated regime shifts in stomatal ratio. Proc Roy Soc B 282: 20151498.
Nobel PS. 2020. Physicochemical and Environmental Plant Physiology. 5th Edition. Academic Press.
Rubén M, N de Diego-Vico, N Martín-Robles. 2013. Shifts in stomatal traits following the domestication of plant species. Journal of Experimental Botany 64(11): 3137–3146.
Wall S, S Vialet-Chabrand, P Davey, JV Rie, A Galle, J Cockram, T Lawson. 2022. Stomata on the abaxial and adaxial leaf surfaces contribute differently to leaf gas exchange and photosynthesis in wheat. New Phytologist 235(5): 1743-1756.


{% for css_item in css %} {% endfor %} {# In ajax mode, no need to put script at the end of body, so html will not stand still #} {% for js_item in js %} {% endfor %}


{% extends "base.html" %} {% block title %}Method Not Allowed{% endblock %} {% block content %}
Sorry, this method is not allowed for this URL.


rgbifHigh level overview of package |
|
|---|---|
Interface to the Global Biodiversity Information Facility API. |
|
Defunct functions in rgbif |
|
Geometry |
|
Check input WKT |
|
Convert a bounding box to a Well Known Text polygon, and a WKT to a bounding box |
|
OAI |
|
|
|
GBIF registry data via OAI-PMH |
RegistryGBIF registry functions |
|
Get details on a GBIF dataset. |
|
Search datasets in GBIF. |
|
Suggest datasets in GBIF. |
|
Search for datasets and dataset metadata. |
|
Organizations metadata. |
|
Networks metadata. |
|
Nodes metadata. |
|
Installations metadata. |
|
MapsWork with the GBIF Maps API |
|
Fetch aggregated density maps of GBIF occurrences |
|
NamesWork with the GBIF taxonomic names API |
|
Lookup names in the GBIF backbone taxonomy. |
|
Table of GBIF name usage issues, with codes used in data output, full issue name, and descriptions. |
|
Lookup names in all taxonomies in GBIF. |
|
A quick and simple autocomplete service that returns up to 20 name usages by doing prefix matching against the scientific name. Results are ordered by relevance. |
|
Lookup details for specific names in all taxonomies in GBIF. |
|
Occurrence DownloadsWork with the GBIF occurrence downloads APIs |
|
Spin up a download request for GBIF occurrence data. |
|
Cancel a download creation process. |
|
Lists the downloads activity of a dataset |
|
List datasets for a download |
|
Get a download from GBIF. |
|
Import a downloaded file from GBIF. |
|
Lists the downloads created by a user. |
|
Retrieves the occurrence download metadata by its unique key. |
|
Download requests in a queue |
|
Occurrence SearchWork with the GBIF occurrence search APIs |
|
Facet GBIF occurrences |
|
Get data for specific GBIF occurrences. |
|
Search for GBIF occurrences - simplified for speed |
|
Search for catalog numbers, collection codes, collector names, and institution codes. |
|
Search for GBIF occurrences |
|
Spell check search term for occurrence searches |
|
Get number of occurrence records. |
|
Facetted count occurrence search. |
|
Occurrence data cleaningFunctions for cleaning occurrence data |
|
Table of GBIF issues, with codes used in data output, full issue name, and descriptions. |
|
Parse and examine further GBIF issues on a dataset |
|
Lookup occurrence issue definitions and short codes |
|
Miscellaneous |
|
Get citation for datasets used |
|
Parse taxon names using the GBIF name parser. |
|
Look up 2 character ISO country codes |
|
Get the possible values to be used for (taxonomic) rank arguments in GBIF API methods. |
|
parse wkt into smaller bits |
|
Get elevation for lat/long points from a data.frame or list of points. |
|
Enumerations. |
|
Pretty reports |
|
View highlighted terms in name results from GBIF. |
|
View photos from GBIF. |


{% extends 'base.html' %} {% load static %} {% block title %}relBack - Clients{% endblock %} {% block content %}
Really want to delete the Policy: ?


Line data Source code
1 : /** MIT License
2 : Copyright (c) 2017 Miguel Maestre Trueba
3 : Permission is hereby granted, free of charge, to any person obtaining a copy
4 : of this software and associated documentation files (the "Software"), to deal
5 : in the Software without restriction, including without limitation the rights
6 : to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
7 : copies of the Software, and to permit persons to whom the Software is
8 : furnished to do so, subject to the following conditions:
9 : The above copyright notice and this permission notice shall be included in all
10 : copies or substantial portions of the Software.
11 : THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
12 : IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
13 : FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
14 : AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
15 : WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
16 : CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
17 : *
18 : *
19 : *@copyright Copyright 2017 Miguel Maestre Trueba
20 : *@file classifier.hpp
21 : *@author Miguel Maestre Trueba
22 : *@brief Header file with definitions for class classifier.
23 : */
24 :
25 : #pragma once
26 :
27 : #include <cv_bridge/cv_bridge.h>
28 : #include <vector>
29 : #include <opencv2/highgui/highgui.hpp>
30 : #include "opencv2/opencv.hpp"
31 : #include "ros/ros.h"
32 :
33 : /**
34 : *@brief Definition of the classifier class. It contains all the functions and variables depicted in the
35 : *@brief UML Class diagram.
36 : *@brief It trains a SVM, reads images from topic, detects MSER and HOG features and classifies traffic sign images.
37 : */
38 28 : class classifier {
39 : private:
40 : // DATASET LOADING
41 : /**
42 : *@brief Loads all the images from the dataset by type of sign and labels them
43 : *@param trainImgs is an output vector that contains all the training images
44 : *@param trainLabels is an output vector that contains all the labels of the training images
45 : *@return none
46 : */
47 : void loadTrainingImgs(std::vector<cv::Mat> &trainImgs,
48 : std::vector<int> &trainLabels);
49 :
50 : // TRAIN SVM
51 : /**
52 : *@brief Sets all the parameters of the SVM object and feeds it with the HOG features of the labeled training images.
53 : *@param svm is the Support vector Machine object
54 : *@param trainHOG is the cv::Mat with the HOG features from the training images
55 : *@param trainLabels is the vector wuth all the labels for the training images
56 : *@return none
57 : */
58 : void SVMTraining(cv::Ptr<cv::ml::SVM> &svm,
59 : cv::Mat trainHOG, std::vector<int> trainLabels);
60 :
61 : public:
62 : cv::Mat imagen; /// OpenCV Image from the camera given by the subscriber
63 :
64 : std::vector<cv::Rect> boxes; /// Bounding boxes in the current frame
65 :
66 : float traffic_sign; /// The label of the detections, outputed by the SVM
67 :
68 : // IMAGE CALLBACK
69 : /**
70 : *@brief Callback used in the subscriber for the camera topic. Gets the ROS Img msg and transforms it to an OpenCV img.
71 : *@param msg is the ROS Image msg
72 : *@return none
73 : */
74 : void imageCallback(const sensor_msgs::ImageConstPtr& msg);
75 :
76 : /**
77 : *@brief Apply gaussian filter to the input image to denoise it
78 : *@param inputImage is the current image to be filtered
79 : *@return Blurred and denoised image
80 : */
81 : cv::Mat deNoise(cv::Mat inputImage);
82 :
83 : // MSER FEATURES
84 : /**
85 : *@brief Find MSER features in the image. First normalize image and binarize, then look for regions and finally, resize each regions image.
86 : *@param img is the current image where MSER features are detected
87 : *@param area is an output variable that stores the area of each region's bounding box
88 : *@return Vector of all the images of detections
89 : */
90 : std::vector<cv::Mat> MSER_Features(cv::Mat img, double &area);
91 :
92 : // HOG FEATURES
93 : /**
94 : *@brief Compute the HOG features in every image of a vector
95 : *@param hog is the HOG Descriptor object with all the parameters set up
96 : *@param imgs is the vector of images to get theHOG from
97 : *@return Matrix with the HOG Descriptor for all the images.
98 : */
99 : cv::Mat HOG_Features(cv::HOGDescriptor hog, std::vector<cv::Mat> imgs);
100 :
101 : // TRAINING
102 : /**
103 : *@brief Function that runs loadTrainImgs(), HOG_Features() and SVM Training, sequentially
104 : *@param hog is the HOG Descriptor object with all the parameters set up
105 : *@param svm is the Support vector Machine object
106 : *@param trainImgs is an output vector that contains all the training images
107 : *@param trainLabels is an output vector that contains all the labels of the training images
108 : *@return 1 if success
109 : */
110 : int trainStage(cv::HOGDescriptor &hog, cv::Ptr<cv::ml::SVM> &svm,
111 : std::vector<cv::Mat> &trainImgs, std::vector<int> &trainLabels);
112 :
113 : // CLASSIFICATION
114 : /**
115 : *@brief Feed SVM with the HOG Matrix of the current image and outputs its label.
116 : *@param testHOG is the HOG Descriptor object with all the parameters set up
117 : *@param svm is the Support vector Machine object
118 : *@return Labels of the tested set of features. Label of the sign being recognized.
119 : */
120 : float SVMTesting(cv::Ptr<cv::ml::SVM> &svm, cv::Mat testHOG);
121 :
122 : // VISUALIZATION
123 : /**
124 : *@brief Opens a vindow with the robot's view of the workspace. It outputs bouding box around detected signs and the name of the sign.
125 : *@param none
126 : *@return 1 if success
127 : */
128 : int visualization();
129 : };
|


{% extends 'accounts/base.html' %} {% load crispy_forms_tags %} {% block title %}
Already a member? Sign in


Welcome to the Great Number game!
I am thinking a number between 1 and 100. Take a guess!
{% if session['attempts'] is defined %}You have attempted {{ session['attempts'] }} times so far!
{% endif %}{% if error is not none %}
{{ error }}
{% elif guess is defined %}
{% if session['attempts'] > 5 %}
You lose! {{ session['random_number'] }} was the number!
{% else %}
{% if guess < session['random_number'] %}
Too low!
{% elif guess > session['random_number'] %}
Too high!
{% else %}
{{ guess }} was the number!
{% endif %}
{% endif %}
{% endif %}


- Mixes In:
- Object.prototype
- Source:
Methods
(static) onEventPromise(eventType, useCapture)
Registers an event listener on a target object and returns a Promise.
Parameters:
| Name | Type | Default | Description |
|---|---|---|---|
eventType |
String | The type of event to register. This can match any event type dispatched by the target object. | |
useCapture |
Boolean | false | As in standard events, this parameter specifies if the event is dispatched in the capture phase (true), or in the bubble phase (false). |
- Source:
Returns:
A standard Promise object that will receive either a resolution
when the event fires or a rejection if the event could not be registered.
Examples
//all objects in the current execution context will inherit the
//onEventPromise handler automatically
window.onEventPromise("click").then(
function(resolve, reject) {
alert ("Clicked on window");
}
)
//the returned Promise also works with async functions as expected
async function doOnClick() {
event = await window.onEventPromise("click");
alert ("Clicked on window");
}
doOnClick();


In the case of player versus environment, it is often the case that the ST will just create a difficulty class (DC) for the action. The player will roll their stat and if their roll is greater to or equal to the Difficulty Class then they succeed. Let us look at the probabilities to determine what makes a reasonable difficulty class.
By inspecting the probability we can see that setting the DC of +2 to the stat or less results in a "don't Botch" situation, where the only failure is rolling minimum value. Setting a DC of +4 to stat sets up a 50/50 chance of success or failure. Setting a DC of +6 to stat allows only critical successes. Armed with this information, I use the 50/50 chance to set DCs with this question: What type of person has a 50/50 chance of success? If the normal human does, I set DC based on normal human stat value of 3, giving us a DC of 7. If you need to be superhuman to achieve a 50/50 chance then perhaps base the DC on 7, giving us a DC of 11.


Beetle threat to UK ash trees hit by ash dieback disease 'may not be as grave as first feared'
by Sarah ChambersEuropean ash trees may be fighting back more effectively against a damaging beetle than expected, a new study suggests.
When the threat of fungal disease Ash dieback emerged in Europe and the UK in the last decade, the outlook appeared gloomy for Ash trees, compounded by the arrival a beetle which has not yet in the UK but is damaging trees in eastern Europe.
But the latest scientific research reveals that European ash has "moderately good" resistance to the Emerald Ash Borer (EAB) - a beetle which has severely affected ash species in the USA and some parts of Russia.
Tests on a selection of ash species show that European ash - while not immune to initial attack by the EAB - has the resources to restrict the beetle's development.
MORE - Political hopefuls urged to back bid to unleash untapped potential of East Anglia's rural communities
The study - which involved scientists including from the John Innes Centre in Norwich - found the frequency with which the larvae developed to later stages in European ash was much lower than in the highly-susceptible black ash. In fact, European ash had similar resistance to that of Manchurian ash, which co-exists with the beetle in East Asia.
Previously, researchers were concerned that if EAB arrived in Britain, any native European ash trees that survived ash dieback might be finished off by the beetle.
But Professor James Brown of the John Innes Centre, one of the study authors, said the picture was looking more positive.
"In the long term we predict that ash in the UK will gradually evolve greater resistance to ash dieback as a result of natural selection. We expect that healthy trees may suffer some harm from emerald ash borer but not be severely damaged," he said.
However, weaker trees hit badly by ash dieback might be finished off by the beetle. It is estimated around 5% of ash in Great Britain has good resistance to ash dieback fungus (Hymenoscyphus fraxineus).
Researchers found no evidence for genetic variation in responses to EAB in European ash saplings - which means breeding for EAB resistance may not be an option. They conclude that efforts to save ash trees should focus on excluding the beetle.
"If the beetle were to arrive in UK it would encounter an ash population weakened by exposure to ash dieback," said Professor Brown. "The combined effect may prove highly destructive initially to woodland and urban plantings."
Experiments were carried out in controlled conditions at The Ohio State University, USA, with the work led by David Showalter and Pierluigi Bonello. The collaboration also included NIAB EMR in Kent and The Royal Botanic Gardens at Kew.
The Department for Environment, Food and Rural Affairs' (DEFRA) chief plant health officer Nicola Spence said they were setting up an early warning system to ensure a swift response if the pest is found in the UK. "I welcome this latest research from the John Innes Centre, which is good news for the future of our native ash trees and our work to protect those trees showing tolerance to ash dieback," she said.


free simple online image editor
Created by HK
Supports multi layer,multi workspace,photo effects and much more...
Try FreeA free online photo editor that supports
Multilayer
Multiple workspaces
Photo effects
Known image formats like jpg,png,bmp,ico,gif,webp ...
Sharpen filter,constrast filter,sephia filter,mean filter,mediangrayscale filter,blur filter,soften filter,edge detection filter,erode-dilation filter,oil painting filter,cartoon filter ...
Feel free to leave us a comment


Lincolnshire Poacher is an award-winning handmade cheese produced on a dairy farm nestling on the eastern edge of the beautiful Lincolnshire Wolds. It is made in a way that is similar to traditional West Country Cheddar using unpasteurised cow’s milk. The cheese was invented by Simon Jones from Lincolnshire, who decided to turn the spring milk from his herd of Holsteins into cheese.
Traditional Lincolnshire Poacher is available in a cylindrical shape, coated by a rind appearing similar to granite. It is a slow-maturing cheese that takes between 12-24 months to develop a golden, straw-coloured yellow pate and spotted brown and gray colour rind. One gets daily and seasonal variation in terms of both flavour and texture but all-in-all the cheese has both cheddar and gruyere-like qualities. It has a smooth texture and a strong taste. In summer, notes of pineapple, toasted nuts and grassy dominate the flavour profile while in winter the taste becomes savory and almost meaty. Lincolnshire Poacher pairs well with full bodied reds and whites and beer.
The company makes many other traditional cheeses such as Vintage Lincolnshire Poacher aged for 18 to 22 months, Smoked Lincolnshire Poacher, Double Barrel and Lincolnshire Red which is made using vegetarian rennet.
-
Made from unpasteurized
cow
's milk
-
Country of origin:
England
and
United Kingdom
-
Region: Lincolnshire
-
Family: Cheddar
-
Type:
hard
-
Fat content: 45%
-
Texture:
open
and
smooth
-
Rind: natural
-
Colour: yellow
-
Flavour: fruity, nutty, savory, sweet
-
Aroma: grassy
-
Vegetarian: no
-
Other English cheeses:
-
hard cheeses:
Appleby's Double Gloucester
,
Barber's 1833
,
Bermondsey Hard Pressed
,
Blue Wensleydale
,
Buffalo
,
Cheddar
,
Cheshire
,
Cornish Kern
,
Coverdale
,
Crumbly Lancashire
,
...
show all
... ,
Davidstow 3 Year Reserve Special Vintage
,
Davidstow Extra Mature Cheddar
,
Davidstow Mature Cheddar
,
Denhany Dorset Drum
,
Double Gloucester
,
Double Worcester
,
Duddleswell
,
Gloucester
,
Gospel Green
,
Hereford Hop
,
Herriot Farmhouse
,
Huntsman
,
Keens Cheddar
,
Lyburn's Winchester
,
Marble Cheddar
,
Marbled Cheeses
,
Mature Wensleydale
,
Menallack Farmhouse
,
Millstone
,
Muddlewell
,
Old Harry
,
Old Winchester
,
Seriously Strong Cheddar
,
Spenwood
,
Sraffordshire Organic
,
Tasty Lancashire
,
Tregonwell
,
Tyning
,
Wellesley
,
Wellington
,
Wookey Hole Cave Aged Cheddar
-
semi-hard cheeses:
Abbot’s Gold
,
Applewood
,
Burwood Bole
,
Colston Bassett Stilton
,
Coquetdale
,
Cornish Kern
,
Cornish Wild Garlic Yarg
,
Cotherstone
,
Cotswold
,
Curworthy
,
...
show all
... ,
Derby
,
Devon Blue
,
Devon Garland
,
Friesla
,
Huntsman
,
Keltic Gold
,
Lyburn Gold
,
Lyburn Lightly Oak Smoked
,
Malvern
,
Montgomery's Cheddar
,
Old Ford
,
Red Windsor
,
Sage Derby
,
Sharpham Rustic
,
Sharpham Rustic Chive & Garlic
,
Sharpham Savour
,
Stoney Cross
,
Ticklemore
-
semi-soft cheeses:
Burwash Rose
,
Capra Nouveau
,
Cardo
,
Chorlton Blue Cheshire
,
Cornish Blue
,
Cornish Crumbly
,
Cornish Smuggler
,
Cropwell Bishop Blue Stilton
,
Exmoor Blue
,
Francis
,
...
show all
... ,
Harbourne Blue
,
Innes Brick
,
Kirkham's Lancashire
,
Little Colonel
,
Loddiswell Avondale
,
Lyburn Garlic and Nettle
,
Marbled Cheeses
,
May Hill Green
,
Miss Muffet
,
Ogleshield
,
Oxford Blue
,
Ringwell
,
Stichelton
,
Stilton
,
Tilly Whim
,
Trelawny
,
Waterloo
,
Wigmore
-
soft cheeses:
Baron Bigod
,
Bartlett
,
Bath Blue
,
Bath Cheese
,
Beenleigh Blue
,
Blacksticks Blue
,
Bosworth
,
Buxton Blue
,
Capricorn Somerset Goats Cheese
,
Cornish Brie
,
...
show all
... ,
Cornish Pepper
,
Cote Hill Blue
,
Cranborne
,
Cremet
,
Delamere Goats Cheese Logs
,
Dorset White
,
Dorstone
,
Doublet
,
Dumpling
,
Emlett
,
Finn
,
Flower Marie
,
Golden Cross
,
Innes Log
,
Little Rydings
,
Old Burford
,
Ragstone
,
Sharpham
,
Sharpham Elmhirst
,
Shepherd's Crook
,
Somerset Brie
,
Stawley
,
St Jude
,
Sussex Slipcote
,
Tunworth
,
Tymsboro
,
Yorkshire Blue
-
fresh soft cheeses:
Cerney Pyramid
,
Childwickbury
,
Creamy Lancashire
,
Olde York
,
Perroche
,
Sleightlett
,
Vulscombe
,
Windrush Cheeses
Other cheeses from United Kingdom:
-
hard cheeses:
Acorn
,
Appleby's Double Gloucester
,
Basing
,
Berkswell
,
Bermondsey Hard Pressed
,
Buffalo
,
Caerphilly
,
Cheshire
,
Coverdale
,
Davidstow 3 Year Reserve Special Vintage
,
...
show all
... ,
Davidstow Extra Mature Cheddar
,
Davidstow Mature Cheddar
,
Double Gloucester
,
Double Worcester
,
Duddleswell
,
Dunlop
,
Extra Mature Wensleydale
,
Gloucester
,
Gospel Green
,
Hafod
,
Hereford Hop
,
Huntsman
,
Isle of Mull
,
Keens Cheddar
,
Lairobell
,
Little Black Bomber
,
Llanglofan Farmhouse
,
Lyburn's Winchester
,
Marble Cheddar
,
Marbled Cheeses
,
Mature Wensleydale
,
Oak Smoked Wensleydale
,
Old Harry
,
Old Winchester
,
Orkney Extra Mature Cheddar
,
Orkney Mature Cheddar
,
Penbryn
,
Red Leicester
,
Scotch Bonnet Cheddar
,
Seator's Orkney
,
Seriously Strong Cheddar
,
Spenwood
,
Sraffordshire Organic
,
Tregonwell
,
Tyn Grug
,
Wellesley
,
Wensleydale
,
Wookey Hole Cave Aged Cheddar
-
semi-hard cheeses:
Abbot’s Gold
,
Applewood
,
Burwood Bole
,
Colston Bassett Stilton
,
Cornish Yarg
,
Cotherstone
,
Cotswold
,
Criffel
,
Derby
,
Devon Blue
,
...
show all
... ,
Devon Garland
,
Huntsman
,
Lord of the Hundreds
,
Lyburn Gold
,
Lyburn Lightly Oak Smoked
,
Maisie's Kebbuck
,
Malvern
,
Montgomery's Cheddar
,
Old Ford
,
Orkney Medium Coloured Cheddar
,
Red Windsor
,
Sage Derby
,
Sharpham Rustic
,
Sharpham Rustic Chive & Garlic
,
Sharpham Savour
,
Stoney Cross
,
Teifi
,
Ticklemore
,
White Stilton with Mango & Ginger
-
semi-soft cheeses:
Ailsa Craig
,
Burwash Rose
,
Cardo
,
Celtic Promise
,
Chorlton Blue Cheshire
,
Cropwell Bishop Blue Stilton
,
Exmoor Blue
,
Francis
,
Gorwydd Caerphilly
,
Harbourne Blue
,
...
show all
... ,
Harlech Truckle
,
Innes Brick
,
Kirkham's Lancashire
,
Lake District Extra Mature Cheddar
,
Little Colonel
,
Lyburn Garlic and Nettle
,
Marbled Cheeses
,
May Hill Green
,
Ogleshield
,
Oxford Blue
,
Pembrokeshire Extra Mature Cheddar
,
Pembrokeshire Mature Cheddar
,
Red Dragon Truckle
,
Stichelton
,
Stinking Bishop
,
Tilly Whim
,
Waterloo
,
Wigmore
-
soft cheeses:
Baron Bigod
,
Bartlett
,
Bath Blue
,
Bath Cheese
,
Beenleigh Blue
,
Blacksticks Blue
,
Bonchester
,
Bosworth
,
Buxton Blue
,
Cornish Brie
,
...
show all
... ,
Cote Hill Blue
,
Cottage Cheese
,
Cranborne
,
Cremet
,
Delamere Goats Cheese Logs
,
Dorset White
,
Dorstone
,
Dunsyre Blue
,
Finn
,
Flower Marie
,
Golden Cross
,
Innes Log
,
Lake District Mature Cheddar
,
Ragstone
,
Sharpham
,
Sharpham Elmhirst
,
Somerset Brie
,
Stawley
,
St Jude
,
Tunworth
,
Yorkshire Blue
-
fresh firm cheeses:
Wensleydale with Cranberries
-
fresh soft cheeses:
Cerney Pyramid
,
Childwickbury
,
Innes Button
,
Olde York
,
Pant ys Gawn
,
Perroche
,
Sleightlett
,
Vulscombe
,
Windrush Cheeses


Cordova Tests
Platform:
Version:
UUID:
Name:
Width:
, Height:
, Color Depth:
Accelerometer
Audio Play/Record
Camera
Capture
Compass
Connection
Contacts
Events
File
Location
Notification
Local Storage


New Mechanics
Now, to build something, except money you will need to have enough resources in your warehouses.
Beautiful Graphics
High quality of graphics and beautiful design help make the gameplay more comfortable.
Hard Economic
To service buildings, you need money. To get money, you need resources. To produce resources, you need buildings.
Download Now!


empowHERsports
About Us
From tips on Nutrition to Contacting a doctor, our website is a one stop solution for all the requirements of awesome sportswomen like you!


Introduction
The Internet is the biggest world-wide communication network of computers.The Internet has millions of smaller domestic, academic, business, and government networks, which together carry many different kinds of information. The term is sometimes abbreviated as "the net". The World Wide Web is one of its biggest services. It is used by billions of people all over the world. The Internet was developed in the United States by the "United States Advanced Research Projects Agency" (DARPA). The Internet was first connected in October, 1969[1] and was called ARPANET. The World Wide Web was created at CERN in Switzerland in 1990 by a British (UK) scientist named Tim Berners-Lee. Today, people can pay money to access the Internet from internet service providers. Some services on the Internet cost nothing to use. Sometimes people who offer these free services use advertising to make money. Censorship and freedom of speech on the Internet can be controversial.
Contents
Services on The Internet
The Internet is used for many things, such as electronic mail, online chat, file transfer, and the interlinked web pages and other documents of the World Wide Web. The most used service on the Internet is the World Wide Web (which is also called the "Web" or "www"). The web contains websites, including blogs and wikis like Wikipedia. Webpages on the Internet can be seen and read by anyone (unless the page needs a password, or it is blocked). The second biggest use of the Internet is to send and receive e-mail. E-mail is private and goes from one user to another. Instant messaging (such as AIM or ICQ) is similar to email, but allows two or more people to chat to each other faster. Some governments think the internet is a bad thing, and block all or part of it. For example, the Chinese government thinks that Wikipedia is bad. Many times no one in China can read it or add to it.[2] Another example of the internet being blocked is in North Korea.[3] Some parents block parts of the Internet they think are bad for children to see.
Dangers on the Internet
The Internet makes communication easy, and communication can be dangerous too. People often send secret information, and sometimes other people can steal that information. They can use the Internet to spread lies or stolen secrets or dangerously bad advice. For example, Facebook has had some problems with privacy settings. A person can post information on the website, but this is often a bad idea unless the person is very sure of what they are doing. One way to check for a secure website is to make sure the URL starts with https:// instead of http://. This means it is secured so other people cannot read information while it is being sent. However, it does not mean the website will do things to keep it safe.
- Some websites may trick people into downloading viruses that can harm a computer, or spyware that spies on its users (looks at what they are doing and tells someone else). E-mails can also have harmful files with them as "attachments".
- In internet chatrooms, people might be preying on others or trying to stalk or abuse them.
- The Internet contains content that many people find offensive such as pornography, as well as content intended to be offensive.
- Criminals may steal people's personal information or trick people into sending them money.
The Internet during distasters
New media and digital technologies have also positively contributed to better and more organized humanitarian responses. For example, in Haiti, where within hours of the earthquake extensive visualizations and data maps were created to assist in saving lives and reconstruction. Activists have been equipped to organize and coordinate protest efforts in Egypt, Tunisia, and Occupy. In addition an important by-product of these new interactions have been the way in which the international community can act as human rights monitors via data posted onto YouTube and other social media platforms.


[gecode-users] [cfp] CP'2007 Research Papers
Carmen Gervet
cgervet at cs.brown.edu
Tue Jan 9 16:12:41 CET 2007
*Apologies for cross posting. Please forward to interested people*
====================================================================
*First* *Call for Research Papers*
*CP 2007*
*Thirteenth International Conference on
Principles and Practice of Constraint Programming*
*September 23 - 27, 2007*
Providence, RI, USA
http://www.cp2007.org/
(on behalf of the Association for Constraint Programming)
(co-located event: ICAPS'07,
http://abotea.rsise.anu.edu.au/icaps07/)
====================================================================
The CP conference is the annual international conference on constraint
programming. It is concerned with all aspects of computing with
constraints, including: theory, algorithms, applications,
environments, languages, models and systems. CP 2007 includes a
technical programme, where presentations of research and application
papers, as well as invited talks and tutorials, aim at describing the
best results and techniques in the state-of-the-art of constraint
programming. CP 2007 will place particular emphasis on applications,
with a special event on the use of CP in applications. Moreover, CP
2007 continues the tradition of the CP doctoral programme, in which
PhD students can present their work, listen to tutorials on career and
ethical issues, and discuss their work with senior researchers via a
mentoring scheme. Finally, there are workshops, where researchers can
meet in an informal setting and discuss their most recent ideas with
their peers.
Papers are solicited from all disciplines concerned with constraints.
Papers describing implementation issues are strongly encouraged.
Papers that report on successful applications of constraint technology
are also solicited. The simplified submission process for application
papers is explained in a separate call for application papers.
Submitted papers must be original and must not be simultaneously
submitted for publication in a journal or another conference. This
year, submission is done under the double-blind scheme and authors
will have the opportunity to respond to reviews before the final
selection is made. Authors are required to prepare their papers by
following the instructions in the submission page (not open yet).
Papers longer than 15 LNCS pages will be rejected without review. The
proceedings will be published by Springer Verlag, in the Lecture Notes
in Computer Science series.
IMPORTANT DATES
* *April 18, 2007: Deadline for submissions*
* June 16, 2007: Notifications
* July 1, 2007: Camera-ready copy
ORGANIZATION
Conference Chairs:
Laurent Michel, University of Connecticut, USA
Meinolf Sellmann, Brown University, RI, USA
Programme Chair:
Christian Bessiere, LIRMM-CNRS, U.Montpellier, France
Workshop and tutorial chair:
Pedro Meseguer, IIIA, CSIC, Bellaterra, Spain
Doctoral Program Chairs:
Brahim Hnich, Izmir University of Economics, Turkey
Kostas Stergiou, University of the Aegean, Greece
Publicity Chair:
Carmen Gervet, Boston University, Met. College,MA,
and Brown University, RI, USA
Sponsorship Chair:
Barry O'Sullivan, University College Cork, Ireland
Programme committee:
Fahiem Bacchus, University of Toronto, Canada
Roman Bartak, Charles University, Czech Republic
Christopher Beck, University of Toronto, Canada
Frederic Benhamou, University of Nantes, France
Alexander Brodsky, George Mason University, VA, USA
Mats Carlsson, SICS, Sweden
Hubie Chen, Universitat Pompeu Fabra, Spain
Rina Dechter, UC-Irvine, CA, USA
Boi Faltings, EPFL, Switzerland
Pierre Flener, Uppsala University, Sweden
Thom Fruhwirth, University of Ulm, Germany
Maria Garcia de la Banda, Monash University, Australia
Carla Gomes, Cornell University, NY, USA
Narendra Jussien, EMN/LINA, France
Brahim Hnich, Izmir University of Economics, Turkey
Javier Larrosa, UPC, Spain
Christophe Lecoutre, CRIL, France
Jimmy Lee, The Chinese Univ of Hong Kong, Hong Kong
Olivier Lhomme, ILOG, France
Felip Manya, Universitat de Lleida, Spain
Joao Marques-Silva, University of Southampton, UK
Amnon Meisels, Ben-Gurion University, Israel
Laurent Michel, University of Connecticut, USA
Ian Miguel, University of St Andrews, UK
Bertrand Neveu, CERTIS INRIA, France
Barry O'Sullivan, University College Cork, Ireland
Gilles Pesant, Ecole Polytechnique Montreal, Canada
Francesca Rossi, University of Padova, Italy
Thomas Schiex, INRA Toulouse, France
Christian Schulte, KTH, Royal Inst. of Tech., Sweden
Meinolf Sellmann, Brown University, RI, USA
Kostas Stergiou, University of the Aegean, Greece
Peter van Beek, University of Waterloo, Canada
Willem-Jan van Hoeve, Cornell University, NY, USA
Gerard Verfaillie, ONERA, Toulouse, France
Toby Walsh, NICTA and UNSW, Australia
Roland Yap, National University of Singapore
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.ps.uni-sb.de/pipermail/users/attachments/20070109/08d6d7a1/attachment.htm>
More information about the gecode-users
mailing list


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 113488general/27796updatemathlibreferenceisafork.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/113488-general/topic/update-mathlib.20.22reference.20is.20a.20fork.22.html


Inventory Position
Inventory information for 01 CH CHEVAL BLANC (COMPAGNIE MEDOCAINE), VINTAGES Item # 8466, $ 545.35 in all cities. No store in the selected city has inventory for that item. Please go to the previous page to select another city.


Walk: A / D
Crouch: S
Jump: Space / L
Punch: J
Strong Punch: K
Dodge: Q / E
We recommend use a joystick, though


Batch ID
Warehouse Name
Warehouse Location
Incoming Date
Outgoing Date
Capacity of the Warehouse
Updated Price
Quality
Status


Projects to Products
28 Apr 2014John spoke to us today about his latest creation Pressgram, an iOS app that allows you to edit, filter, and publish photos to your own blog and site. It was a practical look into turning a project into a sellable product. The talk was epic with tons of practical advice from a proven entrepreneur. Here are my top takeaways . . .
Innovative solutions are mashups of ineffective solutions
There is nothing new under the sun! Innovators that are winning are able to take current ineffective solutions and mash them up to create a winning product.
Complexity is easy to create, but simplicity is art.
Often times, innovative products are nothing more than simplifications. If you create systems to take complex problems and make them simplistic, you will be on the fast track to creating effective products.
You don’t need complex tools to build stuff
John demonstrated how he created his first mockups of Pressgram. He used Keynote. Yes, that keynote. His goal was not to create a fancy mockup using the latest tools available, but to create a minimum viable product that could be easily and effectively communicated to others. Regardless, if the app is meant to function as a slide deck, John used a simple tool he was familiar with to get the job done. The goal is not to be enamored with the latest and greatest tools, but to focus on honing your product with the tools you have.
Create emotional attachment by personalizing it
At this point in our cohort, we're creating simplistic apps. But, we were challenged to constantly be thinking about how we can make our assigned projects, our products. The key in creating a winning product is having an emotional attachment to it, creating something that you really want. This is exactly what a start-up at Atlanta Tech Village did. Co-founders Stanley Vergilis wanted a way to book tutoring students and James Loper a better way to fix iPhone screens than his Craigslist post. So, they created Vergilis. The key, they created something they wanted. Do this and passion will be inevitable.


One of the first books I had picked up on web design started with some JavaScript code to detect if
the user browser was NN (Netscape Navigator) or IE (this abbreviation, for the time being, is still used).
This was a time when most people had not yet heard about AJAX. My only tool for web design was the MS NotePad and
all of the coding I did was by hand (technically, both of the hands).
Several years later I attended web design classes in college, where I encountered Dreamweaver, which
back then was still owned by Macromedia. And almost immediately after using Dreamweaver, I had just about
lost interest in web design. The realisation was simple enough: web design could be reduced to
point-and-click methods, without actually doing any of the coding.
Although point-and-click web design is even more simple now, and I've already made several web sites
with WordPress and Adobe Muse, web design has also become more complicated, and hence more interesting.
Cross-browser compatibility is the subject of thick books; and the advancement of the HTML5 shiv and
CSS5 pre-processing with SASS may actually be called programming (in contrast to "actual programming")
without forcing the next door Java developer to cringe at the mere thought of it.
Moreover, OpenGL ES can be run in a browser as WebGL, and easily
edited in Adobe Animate. And most exciting of all, the availability of cheap VR headsets is catching up
with the development of WebVR.
On the other hand, some parts of web design haven barely changed. When I first started coding web sites, I
used relative CSS tables for positioning. Nowadays, grids are used as a standard, ranging from the
popular Bootstrap to the PostCSS-based
"grid-kiss" which allows creation
of grids with regular keyboard characters (literally, an "ASCII table").
All of this, and more, has re-focused my interest in web design beyond the creative part of it.
SASS templates
JQuery templates
Three-js templates


[t]SMS query activation[/t]
[t]Use this page to activate/ deactivate your stored query or set other related options.[/t]
[t]Mobile phone number[/t]:
[t]SMS code[/t]:
[t]Max jobs sent[/t]:
[t]Confirm activation[/t]:
[t]Activate query[/t]
[t]Deactivate query[/t]
[t]Invalid phone number[/t]
[t]Invalid phone number and SMS code combination.[/t]
[t]Your SMS query has been already activated before.[/t]
[t]Your SMS query is currently not active - not needed to deactivate.[/t]


|
Dear Customer,
Thank you for making us a partner in your web hosting
venture.
Your reseller account has been created with the
following details:
Username: |username|
Password: |password|
Domain: |domain|
IP: |ip|
To log in, follow this link, using your username and
password:
https://|SERVERNAME|:|PORT|
Bandwidth: |bandwidth| Megabytes
Disk Space: |quota| Megabytes Virtual Domains:
|vdomains|
Subdomains: |nsubdomains|
Number of IPs: |ips|
You must use these dns servers for your domain. They
can be changed through your domain registrar.
NS1: |ns1|
NS1 IP: |ns1ip|
NS2: |ns2|
NS2 IP: |ns2ip|
POP Email Accounts: |nemails|
Email Forwarders: |nemailf|
Email Autoresponders: |nemailr|
Email Mailing Lists: |nemailml|
POP Server: |SERVERNAME|
SMTP Server: |SERVERNAME|
Login: |username|
Password: |password|
FTP accounts: |ftp|
Anonymous FTP: |aftp|
FTP Server: |SERVERNAME|
Login: |username|
Password: |password|
SSH Access for your users: |ssh|
SSH Access: |ssh|
Overselling: |oversell|
MySQL Databases: |mysql|
Domain Pointers: |domainptr|
Secure Socket Layer: |ssl|
CGI: |cgi|
PHP: |php|
DNS control: |dnscontrol|
Once again, thank you for partnering with us. Please
don't hesitate to contact us if you have any questions
|


6.042 Rules!
You are not Allowed here!
Please check the link if needed.(Our Server is Case Sensitive!)


angular-modal-gallery is composed mainly in two parts: Plain gallery and Modal gallery.
Attention, because plain gallery is build using information passed to modal gallery,
because they are strictly connected. So, I'm not providing a <ks-plain-gallery>
component,
because already contained in <ks-modal-gallery>
.
It contains a list of thumbnails that users can click to open modal gallery. Layouts are configurable and users could also use a custom implementation to draw everything they want.
For more info check Plain gallery's documentation
Check navigation sidebar to see all details.


--- layout: post title: ! 'Video : Rally Pittoresque' ---
Last weekend I participated for the first time with Rally Pittoresque, an old timer rally. There were some pretty exclusive and nice cars there, a nice atmosphere, and it was great fun, so I posted a small video impression.
I joined the rally with the first European Delorean prototype (built in 1981) from one of my customers, and my copilot was my brother in law Simon.
You can find more info on the delorean here.
Anyway, nice event, enjoy the video, and I really hope we can join the event again next year... and maybe even finish it...


Beer-Me! is an app designed to help the discerning beer connoisseur find rare and interesting beers.
Small-production craft brews and microbrews are often only available at a few restaurants or bars. They are unpredictable to source and find. This app helps you discover what unusual beers are on tap in your neighborhood. Simply press the "Beer-Me!" button to see a list of the rarest beers nearby.
Try a new beer today! It might be your next favorite.
Tina Doyle- Team Lead & Deployment
David Kim- Front-end Mobile Design
Stephen Clem- Back-end Data Scraping
Sean Marman- Back-end Data Sanitization
Questions?
Contact us at<EMAIL_ADDRESS>We look forward hearing from you.


مقهى دبي
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
printing and typesetting industry.
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Mon-Sun. 17:00 –
Roßmäßlerstraße 9, 01139 Dresden, Germany
0351 30936973
Dubai Shisha Bar
dubaishishabar_germany


PM: Malaysia won’t take palm oil discrimination sitting down
KUALA LUMPUR, Nov 19 — Malaysia and other palm oil-producing nations must not stay silent nor hesitate to take countermeasures if importing countries choose to impose discriminatory trade barriers, said Prime Minister Tun Dr Mahathir Mohamad.
“If there is any evidence that such discriminatory trade practices are in violation of any international laws, Malaysia and other producing countries under the Council of Palm Oil Producing Countries (CPOPC) must seek intervention from the World Trade Organisation,” he said at the Malaysian Palm Oil Board’s International Palm Oil Congress and Exhibition (MPOB Pipoc) 2019.
Dr Mahathir said that Malaysia and other palm oil-producing nations are stepping up efforts to disseminate accurate information about sustainable oil palm plantations and to counter false allegations concerning palm oil with credible facts. — Bernama


SMD (1210) 750 mA Resetable Fuse 6v - RF1175D
Summary
Name: SMD (1210) 750 mA Resetable Fuse 6v
ID: REFU-1210-X-A075D-V6
Hex ID: RF1175D
WebPage: https://github.com/oomlout/oomlout-OOMP/wiki/REFU-1210-X-A075D-V6
Short URL: http://oom.lt/RF1175D
Revision History: https://github.com/oomlout/oomlout-OOMP/blob/master/parts/REFU-1210-X-A075D-V6/
| Type |
Size |
Color |
Description |
Index |
REFU Resetable Fuse |
1210 SMD (1210) |
X
|
A075D 750 mA |
V6 6v |
Images
About
This part is awaiting a description.
Specifications
| Info |
Value |
| Type |
Resetable Fuse |
| Size |
SMD (1210) |
| Description |
750 mA |
| Index |
6v |
Extra Details
Spotted a mistake, want to add more? Let us know<EMAIL_ADDRESS>All images and resources are licensed [CC BY-SA] unless otherwise stated (ie. the datasheets)


Problem Solving
Getting blocked on a simple problem.
What was the problem?
Currently I seem to get blocked on lots of seemingly simple problems since am attempting to take in lots of new information which is ultimately like learning several new languages all together. Language has never been my strength in naturally picking it up and is something I have to try hard at. I found all of the Katas challenging to complete this week, from hard to seemed impossible.
What problem solving techniques were used?
Google remains my best friend for problem solving, revealing a variety of Youtube tutorials alongside W3Schools and Stack Overflow. Accessing support from my peers has also been vitally important. Slack channel for EDA has revealed lots of us are all struggling with how hard JavaScript is to get your head around and making the information stick. Working alongside my developers who have also helped me and guided me with in person learning - I really appreciate and benefit from a person explaining to me within the context of what we are trying to achieve.

What did I learn?
That attempting to learn something like programming this quickly is inherently difficult and involves so many hours of self-study, Googling and hopefully being taught and guided by peers to get understanding to stick.
Solving a problem in an elegant way.
What was the problem?
In engineering, a solution may be considered elegant if it uses a non-obvious method to produce a solution which is highly effective and simple. An elegant solution may solve multiple problems at once, especially problems that are not thought to be inter-related. I'm really not sure I could profess to have solved problems elegantly yet - mine felt like cheating, particularly when even trying to understand the question being asked. I'm again thinking of this last week's challenges in the forms of Kata, most recently the gradebook and Fizzbuzz which were extremely challenging for me.
What problem solving techniques were used?
I ended up Googling the problems we were set and finding a few references to the same exact problems with code. I copied and pasted the solutions and if they didn't work, tried to figure out why. If they did work I also went back and refined my understanding of what was in the code to try and work out for future reference how everything has been constructed. Finding tutorials and extra information about the exact code being used helped, although still not sure it's sticking.>How I felt throughout the process
Really stupid and like I am cheating through Googling the answers.What did I learn?
I find it really hard not having personal instructions or someone to work alongside and share frustrations with alongside the self-study info being hard to retain. I was feeling pretty low about the Googling to solve the problems feeling like cheating and then spotted this on the #random EDA channel:My peers are probably the best form of support and I'm not using them enough and not being a part of the learning process for them either.
How confident you feel using the problem solving techniques and process:
- Pseudocode - I find this difficult and haven't really used it as a process much
- Trying something - reasonably confident trying things, but if it doesn't work I can struggle with identifying why not and what I've done wrong.
- Rubber ducky method - haven't really tried this but I shall for sure since talking through problems and resolving them in this way seems to be effective for others and I have no problem ultimately talking to myself.
- Reading error messages - getting better at this and have a much better understanding of at least the general direction of the error and whether it is syntax and missing something or that I have written non-sensical code.
- Console.logging - resonably happy but as with everything, have to google how to do it every time currently
- Googling - extremely competent and confident with finding solutions via Google (perhaps a bit too much so)
- Asking your peers for help - happy to do this but probably not making the most of the opportunity to connect and learn from my cohort - again from fear of looking stupid or being that person that doesn't have a clue!
- Asking coaches for help - I am terrible at this. I think it comes from feeling very much like I don't know anything and so talking to a coach will showcase this. I don't want to be that person that doesn't continue past Foundation!
- Improving your process with reflection - must try harder with this although I feel like reflecting on how I do things has become an inherent part of who I am over the past few years.


Hello there :nickname!
Thank you for creating your account on ToMove!
You joined with the following informations:
Please visit the following URL to confirm your email address: :activation_link
Please save this message as reference to your account information.
If you didn't register on our website, simply ignore this message
Thank you,
The ToMove Team