We Spent 20 Years and $130 Million on Light Rail. Then Duke Decided It Was Inconvenient. (INDY Week)
Durham Dreamed of a Transit Line. Duke University All but Killed It. (NY Times)
GoTriangle response letter to Duke University (GoTriangle)
Off the rails: Duke and Durham’s disconnect (Duke Chronicle)
Statement from the Coalition for Affordable Housing and Transit (CAHT)
Durham Co Board of Commissioners Chair Wendy Jacobs is placing most of the blame for this situation on Duke. Says if Duke had signed cooperative agreement, she believes the project would be moving forward.
— Sarah Krueger (@WRALSarah) March 27, 2019


Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 4
Heat the ground nut oil in a tagine and gently cook the onion and garlic until soft.
Add the cumin, ginger, cinnamon stick, preserved lemon and green olives and cook for two minutes.
To make the harrissa put the chillies, garlic, lemon juice and olive oil into a food processor and blend into a rough paste.
Stir in the harrissa and cook for one minute.
Add the wine and fish stock and the saffron and bring to a gentle simmer.
Add the fish and cook for a couple of minutes, then add the mussels and cherry tomatoes, season with salt and pepper and cover. Cook gently for 6-7 minutes.
Serve on a bed of steamed couscous and sprinkle with freshly chopped coriander.


A brief description for this title
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A brief description for this title
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One of my favorite things about paired programming at Epicodus is getting to meet new people every day, hear their stories, and learn something new. Once my time at Epicodus comes to an end, I will be on the job hunt and would love to connect with you!


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Read a short story out loud to someone.


This is an experimental CodePen which utilises an absolutely positioned hidden panel which can be triggered by clicking a toggle.


Sam and Max are asked to transform two digital clocks into two "digital root" clocks.
A digital root clock is a digital clock that calculates digital roots step by step.
When a clock is fed a number, it will show it and then it will start
the calculation, showing all the intermediate values until it gets to
the result.
For example, if the clock is fed the number 137, it will show: "137" "11" "2" and then it will go black, waiting for the next number.
Every digital number consists of some light segments: three
horizontal (top, middle, bottom) and four vertical (top-left, top-right,
bottom-left, bottom-right).
Number "1" is made of vertical top-right and bottom-right, number "4" is made by middle horizontal and vertical top-left, top-right and bottom-right. Number "8" lights them all.
The clocks consume energy only when segments are turned on/off.
To turn on a "2" will cost 5 transitions, while a "7" will cost only 4 transitions.
Sam and Max built two different clocks.

For the example, with number 137, Sam's clock requires:
| "137" | : | (2 + 5 + 4) 2 = 22 transitions ("137" on/off). |
| "11" | : | (2 + 2) 2 = 8 transitions ("11" on/off). |
| "2" | : | (5) 2 = 10 transitions ("2" on/off). |
Max's clock works differently. Instead of turning off the whole
panel, it is smart enough to turn off only those segments that won't be
needed for the next number.
For number 137, Max's clock requires:
| "137" |
: |
2 + 5 + 4 = 11 transitions ("137" on) 7 transitions (to turn off the segments that are not needed for number "11"). |
| "11" |
: |
0 transitions (number "11" is already turned on correctly) 3 transitions (to turn off the first "1" and the bottom part of the second "1"; the top part is common with number "2"). |
| "2" |
: |
4 tansitions (to turn on the remaining segments in order to get a "2") 5 transitions (to turn off number "2"). |
Of course, Max's clock consumes less power than Sam's one.
The two clocks are fed all the prime numbers between A = 107 and B = 2107.
Find the difference between the total number of transitions needed by Sam's clock and that needed by Max's one.


Contact info
Try one of these two email addresses (replace at with @ and dot with .):
- yuwei_zhu at alumni dot brown dot edu
- yuwei dot a dot g at gmail dot com
Github Page
You can also find me on Github — I'm still in the learning process of making the site work.


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{% ckan_extends %} {% block subtitle %}{{ _('About') }}{% endblock %} {% block breadcrumb_content %}
TeSS is ELIXIR's Training e-Support System, developed by ELIXIR-UK, for disseminating, discovering and packaging training resources, primarily by aggregating information from ELIXIR nodes, but also from various 3rd-party content providers.
New technologies are generating huge amounts of life-science data, which scientists need to transform into new discoveries. However, few researchers have all the right skills to take advantage of this sudden data bonanza.
ELIXIR-UK is responding to this challenge by coordinating European initiatives to training research scientists in computing, statistics and bioinformatics. By plugging the skills gap, ELIXIR-UK aims to strengthen life sciences across Europe and set the agenda for future training needs.
If you have any queries about TeSS, please email<EMAIL_ADDRESS>or send a message to.
No. TeSS is an aggregator of ELIXIR-relevant training information and resources, harvested from individual ELIXIR nodes and from 3rd-party content providers.
TeSS does not store training materials itself; rather, it stores links to original training materials, and also enables users to create their own packages and workflows of (linked) materials to suit their needs.
TeSS harvests training information from ELIXIR nodes and from 3rd-party content providers, and aggregates that information according to different ‘views’ (e.g., ELIXIR overview versus node-specific) - it does not store the training materials themselves (it is not a repository).
The GOBLET Training Portal acts a repository of materials and courses, and provides a catalogue of trainers and course organisers. The primary focus of TeSS is on ELIXIR resources and nodes; the principal focus of GOBLET is on the training resources and events of its worldwide members.
No, you do not have to add links manually (although manual addition of information is possible).
Training-relevant information is brought into TeSS automatically using the APIs of its content providers (or, where APIs do not exist, by scraping information automatically from providers’ websites).
If you wish your content to be added to TeSS, please contact the TeSS team so that we can arrange to harvest your materials. Alternatively, if you are a registered user, you may add links to your training information manually.
Registered users can add a content providers from the content providers page page, by clicking the 'Add content provider' button. In the form provided, write a short description, upload the provider's logo, and provide a link to their website. Typically, this task will be performed by an admin rather than a regular user.
You cannot upload training materials directly to TeSS (to do this, we encourage you to use 3rd-party repositories, such as GOBLET).
Registered users of TeSS can, however, add links to training resources manually from the training materials page, by clicking the 'Add training material' button. In the multi-step form provided, simply complete the various fields, add a link to the relevant resources and, where appropriate, attribute the content to a particular provider. By doing this, you effectively create what is termed a ‘training material’ in TeSS; this does not contain the actual material, but links to it on the content provider’s website or portal.
Alternatively, as mentioned above, training material and related information and metadata can be ingested automatically using a content provider's API (if such exists), or by contacting the TeSS development team to develop a suitable scraper.
Training packages in TeSS are bespoke collections of ‘training materials’. For example, you can create a course by making a package of all training materials you plan to use in that course.
This is a two-step process. First, you need to create a package from the packages page. Next, you need to create a link from the relevant training material to that package (note: training materials can belong to several training packages or workflows). To do this, navigate to that particular training resource, select the 'Packages' tab, and select the appropriate package from the drop-down list. This effectively adds the ‘training material’ to the selected package.
In TeSS, training workflows are essentially navigational tools that guide users, step-by-step, through specific types of data analysis (e.g., protein sequence analysis, protein structure analysis, homology modelling, MS-based metabolomic analysis …), highlighting relevant tutorials, lessons, software tools, databases, and so on, relevant to each step of the analysis pipeline. From the available resources, users may select those of particular interest and assemble them into their own customised training packages.
Users may navigate workflows in whatever way they wish, whether step-by-step according to the predefined workflow, or skipping to steps that are more relevant to their training needs.
Creating workflows is still in a prototyping stage – we are currently working on a graphical tool for creating and linking individual workflow steps.
Some example workflows are illustrated on the workflows page.
TeSS is implemented by extending the CKAN platform, an Open Source Data Portal software.
TeSS is populated either automatically, by scraping training information from content providers, or by adding links to training resources manually. Both the TeSS Portal and the scraping/aggregation scripts are open source, and are released under the BSD 3-clause license. The source code be found in GitHub.
Please note that, at present, TeSS is in the alpha state (as of 30th March 2015), so all content you add is at risk of being deleted.
{# snippet "home/snippets/training_coordinators.html", training_coordinators=h.training_coordinators() #} {% endif %}


The whitetail deer (Odocoileus virginianus) population has exploded in Northern Virginia over the past decade. As described in the Virginia Deer Management Plan 2015-2024 under optimal conditions, a deer population can double in size annually. With no regulating factor (e.g., predators, hunters), a deer population would expand to where some resources, generally food, would become scarce. Sources of mortality other then hunting (e.g., diseases, injury, predation) are typically not sufficient to control deer populations. Active deer management is necessary to maintain deer populations to meet the needs of the citizens of the Commonwealth. An optimum deer population balances positive demands (e.g., hunting, viewing) with negative demands (e.g., agricultural damage, vehicle collisions, ecosystem impacts).
Some of the devastating results an over populated deer herd have on a property can include:
Why control deer populations?
Controlled population increases overall health of the deer herd by helping to limit the spread of diseases, such as Chronic Wasting Disease (CWD) and Epizootic Hemorrhagic Disease (Blue Tounge) ), reducing malnutrition and parasitism , and reducing human interaction (i.e., fewer accidents with cars, less grazing near house, gardens, and landscaping).
Methods for controlling deer populations:
On properties where hunting isn’t permitted, due to security and safety concerns, culling may be an option. Culling is usually done at night with a suppressed (silencer) high power rifle. Hunt Country takes a humane/discreet approach when performing culling operations. We will coordinate with the local Conservation Police to obtain the necessary permits. All deer harvested are donated to Hunters for the Hungry, a non-profit organization that helps local families in need.
Hunting leases are not only a tool to help manage deer populations, they are also a way to have your property make money for you. Hunt Country can organize and manage hunters on your property so you don’t have to.
Quality Deer Management (QDM)
Each year more and more land owners are seeing the benifits as a result of applying The Quality Deer Management Philosophy to their property. For those land owners and hunters who want to have the opportunity to hunt trophy deer right here in Northern Virginia, Hunt Country can develop a Quality Deer management Program tailored to your property. Although the most important aspect of growing trophy white-tails on any property is to let male deer reach maturity (4-6 years old) there are still other management techniques that can be utilized to increase a property’s potential to produce big deer:


T
- the type of all nodes in the Graph
public class Visibility<T>
extends java.lang.Object
Graph
instances.
Starts on a specified starting node and recursively finds any adjacent nodes,
up to a specified maximum world distance, whose line of sight is not blocked by
any other examined nodes closer to the source. The opacity of any given node is
determined by a user-supplied Predicate
.
For each tested node, we consider its polygonal world region as defined by Graph.getWorldRegion(T)
. We draw the two tangents from the source node’s world location
to the extreme points of that region. An opaque node blocks visibility, across the angle
between its tangents, for any node whose nearest world region vertex is farther from the
source than that of the opaque node. A node is considered visible as long as a certain
fraction of its tangential arc remains unobscured, as defined by threshold()
.
If an opaque node obscures only the middle part of another node’s tangential arc, but
leaves partial arcs on both ends visible, only the greater of these partial arcs is
considered visible whereas the smaller is considered obscured. This simplifies visibility
testing, although very rarely visible nodes may be misclassified as obscured if the size
of world regions varies greatly among Graph
nodes.
Any graph node for which Graph.getWorldRegion(T)
returns null
is assigned
a default tangential arc, spanning one degree around its world location. This allows the
Visibility
algorithm to process graphs that do not define world regions for all
nodes, although the results are likely not very useful.
| Modifier and Type | Field and Description |
|---|---|
Graph<T> |
graph
The
Graph on which all searches are performed. |
| Constructor and Description |
|---|
Visibility(Graph<T> graph)
Creates a
Visibility algorithm for the specified Graph . |
| Modifier and Type | Method and Description |
|---|---|
boolean |
findVisible(java.util.function.Predicate<T> isOpaque,
T source,
double distance)
Finds all contiguous
graph nodes within the specified maximum
world distance that are visible from the specified source node. |
java.util.Map<T,NodeArc> |
nodeArcs()
Gets the source distances, tangential arcs, and visible fractions for all
graph nodes that were examined by the last search. |
java.util.List<T> |
nodes()
Gets all
graph nodes that were reached by the last successful search. |
void |
setThreshold(double value)
Sets the visibility threshold for any
graph node,
as a fraction of the sweep angle of its tangential arc. |
double |
threshold()
Gets the visibility threshold for any
graph node,
as a fraction of the sweep angle of its tangential arc. |
public Visibility(Graph<T> graph)
Visibility
algorithm for the specified Graph
.graph
- the Graph
on which all searches are performedjava.lang.NullPointerException
- if graph
is null
public boolean findVisible(java.util.function.Predicate<T> isOpaque, T source, double distance)
graph
nodes within the specified maximum
world distance that are visible from the specified source node.
Returns false
if graph
does not contain source
,
or if there are no visible nodes. Otherwise, returns true
and sets
nodes()
and nodeArcs()
to the result of the visibility search.
All nodes within the specified maximum distance
are considered visible,
except for those that are obscured by a node for which isOpaque
succeeds,
as described in the documentation of the Visibility
class.
If distance
is positive, any visible node must be reachable by a path
that only includes other nodes within distance
; otherwise, it will not
be found. This condition holds for any PolygonGrid
, and for any
Subdivision
that was created from a Delaunay triangulation.
isOpaque
- the Predicate
that determines whether a graph
node blocks the line of sightsource
- the source node within graph
where the search startsdistance
- the maximum world distance from source
to search,
or zero to search the entire graph
true
if one or more nodes are visible from source
within the specified distance
, else false
java.lang.IllegalArgumentException
- if distance
is less than zerojava.lang.NullPointerException
- if isOpaque
or source
is null
public java.util.List<T> nodes()
graph
nodes that were reached by the last successful search.
Returns an empty collection if the last findVisible(java.util.function.Predicate<T>, T, double)
call returned
false
, or if the method has not yet been called.
Otherwise, contains those graph
nodes in nodeArcs()
whose NodeArc.visibleFraction()
equals or exceeds the current threshold()
.
List
containing all graph
nodes that were reached
by the last successful findVisible(java.util.function.Predicate<T>, T, double)
call, not including the source nodepublic java.util.Map<T,NodeArc> nodeArcs()
graph
nodes that were examined by the last search.
Returns an empty collection if the last findVisible(java.util.function.Predicate<T>, T, double)
call returned
false
, or if the method has not yet been called.
Otherwise, contains all graph
nodes that were examined by findVisible(java.util.function.Predicate<T>, T, double)
, including partly or fully obscured nodes that were not added
to nodes()
, but excluding the source node.
Map
that maps all visited graph
nodes to the
corresponding NodeArc
instances created by findVisible(java.util.function.Predicate<T>, T, double)
public double threshold()
graph
node,
as a fraction of the sweep angle of its tangential arc.
The default is 1/3.NodeArc.visibleFraction()
for the NodeArc
of any graph
node that should be considered visiblepublic void setThreshold(double value)
graph
node,
as a fraction of the sweep angle of its tangential arc.
A value
of zero is interpreted as Double.MIN_NORMAL
, so a
graph
node is considered visible while even the smallest fraction
of its tangential arc remains unobscured.
A value
of one has the opposite effect. A graph
node is
considered visible only if its entire tangential arc remains unobscured.
Values between zero and one allow greater or lesser degrees of obscuration.
value
- the minimum NodeArc.visibleFraction()
for the NodeArc
of any graph
node that should be considered visiblejava.lang.IllegalArgumentException
- if value
is less than zero or greater than one


You must log into the database as Pat before proceeding with this page.
SECADM can now query the audit tables to analyze data collected.


new Bind(view, data, debug)
Bind object is responsible for binding data to the templates
Parameters:
| Name | Type | Description |
|---|---|---|
view |
string | DOM scope. |
data |
object | Model data to be bound to view. |
debug |
bool | Debug mode. Default is false. |
Methods
(static) bindData(data)
Binds the data object to its coresponding DOM element
and replaces the {{ key }} with the data model value.
Parameters:
| Name | Type | Description |
|---|---|---|
data |
object | Model data to be bound to view. |
(static) nodeBuilder(el, x)
Perform a regex search on a elements textNode.
If it matches the {{ }} pattern then add to our node obj.
Parameters:
| Name | Type | Description |
|---|---|---|
el |
object | A DOM element that does NOT have children. |
x |
number | Index location for list el.childNodes. |
(static) run(view, data, debug)
Core method for setting our instance variables and running
the the bindData method.
Parameters:
| Name | Type | Description |
|---|---|---|
view |
string | DOM scope. |
data |
object | Model data to be bound to view. |
debug |
bool | Debug mode value. |
(static) traverseDOM(el)
Recursively search a element until it has no more children.
Parameters:
| Name | Type | Description |
|---|---|---|
el |
object | a DOM element that may or maynot have children. |
(static) update(view, data, debug)
Updates the Bind object with new data
Parameters:
| Name | Type | Description |
|---|---|---|
view |
string | DOM scope. |
data |
object | Model data to be bound to view. |
debug |
bool | Debug mode value. |


4.0.0
v4.0.0 - 28 June 2023
This is a MAJOR release with changes and enhancements across the board, including changes and additions to backend components.
Notable new features and functionality
There are a plethera of changes and additions in v4.0.0
Added support for Prometheus/VictoriaMetrics - ingesting, storing and analysing labelled metrics or tagged metrics from Prometheus, VictoriaMetrics and via plain HTTP JSON.
This version also starts making use of the very, very long awaited RedisTimeseries for storing labelled metric timeseries data.
Mirage has been significantly improved in its processing methodology to process many metrics per run rather than a single metric per run. This reduces the occurrences of WATERFALL ALERTS to practically zero. Mirage has also been enhanced with additional algorithms to identify normal daily peaks and to identify irregular, unstable timeseries and run an additional analysis on these types of metrics at a much longer time period due to the sparsity of normal events in a weekly period. These two additional analysis methodologies vastly decrease false positives on metrics which display these behaviours.
There is a plethera of additions to custom algorithms and the addition of a new adhoc analysis service called Skyline/Vortex which does adhoc analysis on any 24hr or 7day (overrrideable) uploaded timeseries or timeseries in the system and uses any combination/s of custom algorithms that the user chooses to analyse the timeseries and return results. Vortex can be used directly via a HTTP API and there is also a webapp UI for it as well.
There is also the addition of numerous mainstream custom algorithms to choose from that can now also be used in any part of the analysis pipeline or at least be used with Mirage and Vortex (for which these are intended to be used with, they are not intended to be used as custom_algorithms in Analyzer):
sigma
matrixprofile
spectral_residual
lof
isolation_forest
dbscan
pca
prophet
one_class_svm
anomalous_daily_peak
irregular_unstable
mstl
autoarima
Learning repetitive patterns has been added.
An adhoc analysis service has been added called Vortex.
There is a new internal monitoring service named Thunder that handles and routes internal alerts relating to metric namespaces and monitors the internal availability and functioning of the Skyline apps.
There has been a lot of computationally performance improvements by refactoring all/most viable methods in algorithms and data processing into numba functions where appropriate.
The webapp has a number of new pages and features.
There are significant changes to how both webapp and flux are run by gunicorn,
both apps have changed to using gevent for the unicorn worker_class
.
There are also a number of new dependencies and dependency updates as well.
Noteable Backend changes
Flux and Webapp changed to gevent
There are significant changes to how both webapp and flux are run by gunicorn,
both apps have changed to using gevent for the unicorn worker_class
. This
is a significant operational change. Further there is also one remaining
webapp process that needs to be started as the default sync worker_class
due
to not being able to get flask, gunicorn, gevent and the use of multiprocessing
in tsfresh webapp functions to work as desired. Although there are ways to run
gevent and multiprocessing together, none of the recommended methods or other
attempted methods worked with flask, gunicorn, gevent and tsfresh. The simplest
solution therefore is to just have an additional gunicorn process start using
sync to serve the few tsfresh related webapp requests, which have always worked
and with this method still do. It is a tradeoff incurring a new process as
opposed to determining a convoluted method for flask, gunicorn, gevent and
tsfresh to work together and maintaining that.
numba optimisations
The starting of apps is a little slower in some cases and the first analysis run on some apps can take longer than normal. This is because gaining performance on every analysis thereafter has the tradeoff in that all the numba algorithms and numba data processing functions must be compiled on their initialisation. Thereafter the performance improvements are gained on every function call.
RedisTimeseries
There are 2 available of methods to deploy and use RedisTimeseries, one being use the normal OSS Redis and compile RedisTimeseries and load the module via the include or use redis-stack-server. Upgrading Redis or changing to redis-stack-server is beyond the scope of this document as it will be vary OS/version (and there are lots of options). There is a guide at https://earthgecko-skyline.readthedocs.io/en/latest/upgrading/redis-to-redis-stack-server.html that explains the upgrade process, but if you run your own Redis build/config/pattern then you may have your own update/upgrade strategy.
That said, if your want to run Skyline with labelled metrics you will need a version of Redis that has the RedisTimeseries module. Consider not just using the redis.io packages repos for yum/apt as they provide redis-stack-server RC (release candidate) packages at times and in terms of Skyline Redis needs to be stable, using the download binaries for your OS is a more stable method.
matrixprofile replaced by stumpy
The matrix-profile-foundation/matrixprofile library is no longer maintained and this has been replaced with the stumpy matrixprofile implementation. This affects the matrixprofile custom_algorithm which will automatically use the stumpy version if available. matrixprofile has been removed as a dependency.
Prometheus/VictoriaMetrics metrics
Accept labelled metrics data from Prometheus, InfluxDB (telegraf) and VictoriaMetrics.
Use VictoriaMetrics as Skyline’s longer term TSDB for labelled metrics.
Changes
The changes list is LONG, so listed at the end of this page.
Upgrade notes
These update instructions apply to upgrading from v3.0.4
There are are changes to the DB in v4.0.0
There are changes to settings.py in v4.0.0
There are changes to dependencies in v4.0.0
There is a new service called thunder in v4.0.0
How to update from v3.0.4
Build a new Python version and virtualenv, due to this being a major version release we use a new virtualenv which all the required libraries and do not affect your running install so you can rollback if necessarily.
Download the new release tag or clone/update to get it to a temp location, ready to be deployed.
Copy your settings.py from v3.0.4 and update/replace the v3.0.4 settings.py with your new v4.0.0 settings.py file
Stop the Skyline apps
Backup the database and Redis
OPTIONALLY upgrade MariaDB and/or Redis (redis-stack-server)
Update the Python dependencies (requirements.txt)
Move to the new version,
Start the Skyline apps.
Ensure you read through all the steps below first and assess the steps you wish to do and if any paths, etc need to be changed for your set up. Also you need to make a decision and assess whether you want to upgrade to use redis-stack-server.
Here are the steps….
Get the new version.
# Get the new version
NEW_SKYLINE_VERSION="v4.0.0" # Your new Skyline version
OLD_SKYLINE_VERSION="v3.0.4" # Your old Skyline version
CURRENT_SKYLINE_PATH="/opt/skyline/github/skyline" # Your Skyline path
NEW_SKYLINE_PATH="${CURRENT_SKYLINE_PATH}.${NEW_SKYLINE_VERSION}" # Your new Skyline path
mkdir -p "${CURRENT_SKYLINE_PATH}.${NEW_SKYLINE_VERSION}"
cd "${CURRENT_SKYLINE_PATH}.${NEW_SKYLINE_VERSION}"
git clone https://github.com/earthgecko/skyline .
git checkout "$NEW_SKYLINE_VERSION"
# settings.py
cp "$NEW_SKYLINE_PATH/skyline/settings.py" "$NEW_SKYLINE_PATH/skyline/settings.py.${NEW_SKYLINE_VERSION}.bak"
# Create a new settings.py file in the new version based on your existing
# settings.py file
cat "${CURRENT_SKYLINE_PATH}/skyline/settings.py" > "$NEW_SKYLINE_PATH/skyline/settings.py"
# You can diff the new settings with your settings that you just copied
diff "$NEW_SKYLINE_PATH/skyline/settings.py.${NEW_SKYLINE_VERSION}.bak" "$NEW_SKYLINE_PATH/skyline/settings.py"
You are probably going to want to diff those settings in a visual diff like Meld.
Deploy the new Python version and a new virtualenv and install the dependencies.
# DEPLOY A NEW Python 3.8.17 virtualenv
PYTHON_VERSION="3.8.17"
PYTHON_MAJOR_VERSION="3.8"
PYTHON_VIRTUALENV_DIR="/opt/python_virtualenv"
mkdir -p "${PYTHON_VIRTUALENV_DIR}/versions/${PYTHON_VERSION}"
mkdir -p "${PYTHON_VIRTUALENV_DIR}/projects"
cd "${PYTHON_VIRTUALENV_DIR}/versions/${PYTHON_VERSION}"
wget -q "https://www.python.org/ftp/python/${PYTHON_VERSION}/Python-${PYTHON_VERSION}.tgz"
tar -zxvf "Python-${PYTHON_VERSION}.tgz"
cd ${PYTHON_VIRTUALENV_DIR}/versions/${PYTHON_VERSION}/Python-${PYTHON_VERSION}
./configure --prefix=${PYTHON_VIRTUALENV_DIR}/versions/${PYTHON_VERSION}
make -j4
make altinstall
# Create a new skyline-py3817 virtualenv
PROJECT="skyline-py3817"
cd "${PYTHON_VIRTUALENV_DIR}/projects"
virtualenv --python="${PYTHON_VIRTUALENV_DIR}/versions/${PYTHON_VERSION}/bin/python${PYTHON_MAJOR_VERSION}" "$PROJECT"
ln -sf "${PYTHON_VIRTUALENV_DIR}/projects/skyline" "${PYTHON_VIRTUALENV_DIR}/projects/${PROJECT}"
# Ensure the requirements are installed in your new Python 3.8.17 virtualenv
cd "${PYTHON_VIRTUALENV_DIR}/projects/${PROJECT}"
source bin/activate
# Deploy the new requirements
"bin/pip${PYTHON_MAJOR_VERSION}" install -r "${CURRENT_SKYLINE_PATH}.${NEW_SKYLINE_VERSION}"/requirements.txt
deactivate
cd
# Fix python-daemon
cp "/opt/python_virtualenv/projects/${PROJECT}/lib/python${PYTHON_MAJOR_VERSION}/site-packages/daemon/runner.py" "/opt/python_virtualenv/projects/${PROJECT}/lib/python${PYTHON_MAJOR_VERSION}/site-packages/daemon/runner.py.original.bak"
cat "$NEW_SKYLINE_PATH/utils/python-daemon/runner.2.3.0.py" > "/opt/python_virtualenv/projects/${PROJECT}/lib/python${PYTHON_MAJOR_VERSION}/site-packages/daemon/runner.py"
# minor change related to unbuffered bytes I/O
diff "/opt/python_virtualenv/projects/${PROJECT}/lib/python${PYTHON_MAJOR_VERSION}/site-packages/daemon/runner.py.original.bak" "/opt/python_virtualenv/projects/${PROJECT}/lib/python${PYTHON_MAJOR_VERSION}/site-packages/daemon/runner.py"
Ensure you have added all the new (and changed) settings to $NEW_SKYLINE_PATH/skyline/settings.py and test them
# Get the new version
NEW_SKYLINE_VERSION="v4.0.0" # Your new Skyline version
CURRENT_SKYLINE_PATH="/opt/skyline/github/skyline" # Your Skyline path
NEW_SKYLINE_PATH="${CURRENT_SKYLINE_PATH}.${NEW_SKYLINE_VERSION}" # Your new Skyline path
# You can diff the new settings with your settings that you just copied
diff "$NEW_SKYLINE_PATH/skyline/settings.py.${NEW_SKYLINE_VERSION}.bak" "$NEW_SKYLINE_PATH/skyline/settings.py"
# UPDATE YOUR $NEW_SKYLINE_PATH/skyline/settings.py as appropriate
# **TEST**
# Test your new settings.py BEFORE continuing with the upgrade,
# test_settings.sh runs the validate_settings.py that the Skyline apps run
# when they start
$NEW_SKYLINE_PATH/bin/test_settings.sh
At this point we are going to stop Skyline services, update the DB and you can also upgrade MariaDB and/or Redis at this point if you choose to.
Stop/disable any/all service controls like monit, etc that are controlling Skyline services.
# Stop/disable any/all service controls like monit, etc that are controlling
# Skyline services.

SKYLINE_SERVICES="analyzer
analyzer_batch
mirage
crucible
boundary
ionosphere
luminosity
panorama
webapp
vista
snab
flux
horizon"
for i in $SKYLINE_SERVICES
do
systemctl stop "$i"
done
Remove the numba cache directory. This needs to be done to ensure that new jit cache files are compiled for numba jit functions with the updated Python version and required dependencies like numpy (even though they do not exist yet, this is for next time so it does not get forgetten).
rm -rf /opt/skyline/.cache/numba/
Backup the DB and apply the update
# BACKUP THE DB AND APPLY THE NEW SQL
BACKUP_DIR="/tmp" # Where you want to backup the DB to
MYSQL_USER="skyline"
MYSQL_HOST="<IP_ADDRESS>" # Your MySQL IP
MYSQL_DB="skyline" # Your MySQL Skyline DB name
# Backup DB
mkdir -p $BACKUP_DIR
mysqldump -u$MYSQL_USER -p $MYSQL_DB > $BACKUP_DIR/pre.$NEW_SKYLINE_VERSION.$MYSQL_DB.sql
# Check you dump exists and has data
ls -al $BACKUP_DIR/pre.$NEW_SKYLINE_VERSION.$MYSQL_DB.sql
# Update DB
mysql -u$MYSQL_USER -p $MYSQL_DB < "${NEW_SKYLINE_PATH}/updates/sql/v4.0.0.sql"
echo $?
If you are wanting to upgrade MariaDB now is the time to do that.
If you want to upgrade Redis or deploy redis-stack-server, now is the time to that.
Move your current Skyline directory to a backup directory and move the new Skyline v4.0.0 with your new settings.py from the temp location to your working Skyline directory, (change your paths as appropriate) e.g.
mv "$CURRENT_SKYLINE_PATH" "${CURRENT_SKYLINE_PATH}.${OLD_SKYLINE_VERSION}"
mv "$NEW_SKYLINE_PATH" "$CURRENT_SKYLINE_PATH"
# Set permission on the dump dir
chown skyline:skyline "$CURRENT_SKYLINE_PATH"/skyline/webapp/static/dump
Replace your /etc/skyline/skyline.conf to reflect the new Python version and PYTHON_VIRTUALENV_DIR
mv /etc/skyline/skyline.conf /etc/skyline/skyline.conf.pre.v4.0.0.bak
cp "$CURRENT_SKYLINE_PATH"/etc/skyline.conf /etc/skyline/
diff /etc/skyline/skyline.conf.pre.v4.0.0.bak /etc/skyline/skyline.conf
Backup and replace your systemd unit files to to reflect the new Python version and PYTHON_VIRTUALENV_DIR, unless you control systemd units via configuration management or other, then assess how to update your systemd unit files. Note there is a new thunder service.
mkdir /opt/skyline/github/skyline/etc/systemd/system.pre.v4.0.0.bak
for i in $(find /opt/skyline/github/skyline/etc/systemd/system -type f)
do
unitfile=$(basename "$i")
cp "/etc/systemd/system/${unitfile}" /opt/skyline/github/skyline/etc/systemd/system.pre.v4.0.0.bak/
/bin/cp -f $i /etc/systemd/system/
done
systemctl daemon-reload
Start the all Skyline services (change as appropriate for your set up) e.g.
# NOTE ALL SKYLINE SERVICES ARE LISTED HERE, REMOVE TO ONES YOU DO NOT RUN
# apart from the new thunder Skyline app
# Start all other Skyline services
SKYLINE_SERVICES="horizon
flux
panorama
webapp
vista
analyzer
analyzer_batch
mirage
crucible
boundary
ionosphere
luminosity
snab
thunder"
for i in $SKYLINE_SERVICES
do
systemctl start "$i"
if [ $? -ne 0 ]; then
echo "failed to start $i"
else
echo "started $i"
fi
systemctl enable "$i"
done
# Restart any/all service controls like monit, etc that are controlling
# Skyline services.
Check the logs. You may see a few errors related to some missing Redis keys/hashes this is expected as they do not exist on starting the new version.
# How are they running
tail -n 20 /var/log/skyline/*.log
# Any errors - each app
find /var/log/skyline -type f -name "*.log" | while read skyline_logfile
do
echo "#####
# Checking for errors in $skyline_logfile"
cat "$skyline_logfile" | grep -B2 -A10 -i "error ::\|traceback" | tail -n 60
echo ""
echo ""
done
Congratulations, you are now running the best OSS anomaly detection stack in the world (probably).
New slack messaging does not handle public channel (111) thunder (1444) panorama check file fails (1460) Memory leak in Analyzer (1558) Patterning Skyline Ionosphere - updated to tsfresh-0.3.0 (1658) Update deps in Ionosphere (1758) Update to tsfresh-0.3.0 (1778) Shapelet extraction (1792) tsfresh extract_features process stalling (1822) ionosphere - mirage Redis data features (1828) Ionosphere alerts (1830) Ionosphere - Graphite now graphs (1842) Ionosphere - features_profile matched graphite graphs (1852) Ionosphere learn (1886) Ionosphere learn - child like parent with evolutionary maturity (1886) Handle non filesystem friendly metric names in check files (1904) ionosphere_layers (1960) Ionosphere - matches page (1996) analyse_derivatives (2034) analyse_derivatives - change in monotonicity (2050) MySQL - Aborted_clients (2130) Optimise Ionosphere DB usage (2132) Update deps (2138) Test skyline with bandit (2160) luminosity (2270) update deps for luminosity branch (2272) pandas-0.22.0 and numpy (2274) CORRELATE_ALERTS_ONLY (2360) Add redis auth to Skyline and rebrow (2378) Ionosphere validate learnt features profiles page (2430) Ionosphere validate learnt features profiles page –> (2430) luminosity_remote_data (2464) FULL_DURATION feature profiles (2484) illuminance (2580) Update dependencies (2588) mysql-connector-python - use_pure (2590) Build Skyline on nodes at v1.2.8 (2596) statsmodels-0.9.0 - cannot import name _representation (2600) alert_slack (2618) slack (2646) CVE-2018-18074 - Skyline requests (2652) Reduce mirage ionosphere alert loop (2682) python-daemon does not support Python 3 buffer method (2692) Failing to load metric vars (2708) Prometheus to Skyline (2732) Mutliple SQL Injection Security Vulnerabilities (2818) Test redis-py upgrade (2824) Skyline - Python 3.7.2 (2828) Mirage - periodic_check (2882) Initial Ionosphere echo load and Ionosphere feedback (2904) ANALYZER_ENABLED setting (2916) Update dependencies (2926) Update dependencies (2964) New slack messaging does not handle public channel (2986) docker (3002) Reduce multiprocessing Manager list usage (3034) Reduce multiprocessing Manager list usage, this was (3034) Update dependencies (3060) SNAB (3068) Add CUSTOM_ALERT_OPTS to settings (3194) Allow Skyline to send metrics to another Carbon host (3250) webapp api - unique_metrics (3252) Review and test PR 124 (3256) py3 (3262) py3 (3263) py3 Redis binary objects not strings (3266) Deprecate string.replace for py3 (3270) Always send anomaly_breakdown and exception metrics (3288) Handle urllib2 in py3 (3290) Record anomaly_end_timestamp (3306) webapp api - derivative_metrics (3336) http_alerter (3396) Panorama - add metric to metrics table immediately (3442) Allow flux to backfill (3444) Add IONOSPHERE_MANAGE_PURGE (3462) ionosphere.training_data Redis set (3472) webapp api - training_data (3474) batch_processing (3480) analyzer_batch (3486) webapp - crucible_process_metrics (3500) ionosphere.untrainable_metrics (3508) matched_or_regexed_in_list function (3512) Sort all time series (3532) webapp - upload_data endpoint (3538) flux.uploaded_data_worker (3550) Update deps (3556) External alert config (3560) custom_algorithms (3566) Apply list to settings import (3572) inference (3590) Add timestamp to ENABLE_BOUNDARY_DEBUG output (3594) Update Skyline to Python 3.8.3 and deps (3608) Upgrade to slack v2 (3612) Anomaly type classification (3642) ROOMBA_DO_NOT_PROCESS_BATCH_METRICS (3650) Handle multiple metrics in base_name conversion (3652) IONOSPHERE_GRAPHITE_NOW_GRAPHS_OVERRIDE (3654) Change mirage.last_check keys to timestamp value (3662) flux - POST multiple metrics (3694) FLUX_ZERO_FILL_NAMESPACES (3708) Update sqlalchemy - SNYK-PYTHON-SQLALCHEMY-590109 (3720) Validate Mirage running multiple processes (3730) waterfall alerts (3734) POC matrixprofile (3744) POC SNAB (3748) Add the anomaly_id to the http_alerter json (3772) waterfall_alert - no analyzer triggered_algorithms in waterfall_panorama_data on MIRAGE_ALWAYS_METRICS (3776) Handle single encoded forward slash requests to Graphite (3778) skyline_functions - sanitise_graphite_url (3780) snab_flux_load_test (3788) flux - pickle to Graphite (3790) Handle feedback metrics in Mirage and waterfall alerts (3800) ANALYZER_DYNAMICALLY_ANALYZE_LOW_PRIORITY_METRICS (3808) HORIZON_SHARDS (3820) get_cluster_data (3824) Add inactive columns to the metrics DB table (3828) metrics_manager (3830) custom_algorithms - run_before_3sigma parameter (3848) webapp - yhat_values API endoint (3850) Handle boring sparsely populated metrics in derivative_metrics (3856) flux - try except everything (3864) MIRAGE_ENABLE_HIGH_RESOLUTION_ANALYSIS (3866) POC MIRAGE_ENABLE_HIGH_RESOLUTION_ANALYSIS (3868) metrics_manager - check_data_sparsity (3870) SNYK-PYTHON-PY-1049546 (3874) ANALYZER_CHECK_LAST_TIMESTAMP (3884) Test Python 3.8.6 and deps (3898) Test Skyline with dependencies updates - tsfresh v0.17.9 (3926) Update Skyline to use new tsfresh feature extraction method (3928) ionosphere_performance (3934) SNYK-PYTHON-PILLOW-1055461 and SNYK-PYTHON-PILLOW-1055462 (3940) xlrd-2.0.1 removed support for xlsx format (3944) luminosity - motifs (3956) Handle secondary algorithms in yhat_values (3958) SNYK-PYTHON-JINJA2-1012994 (3960) custom_algorithm - adtk_level_shift (3970) SNYK-PYTHON-PILLOW-1080635 (3972) SNYK-PYTHON-AIOHTTP-1079232 (3974) luminosity - classify_metrics (3978) SNYK-PYTHON-URLLIB3-1085966 (3988) Panorama - mirage not anomalous (3994) EXTERNAL_SETTINGS (4000) flux - aggregator.py and FLUX_AGGREGATE_NAMESPACES (4004) SNYK-PYTHON-PILLOW-1090584 (4008) Ionosphere - inference (4014) Move mysql_select calls to SQLAlchemy (4022) Change from scipy array to numpy array (4026) refactoring (4030) Mirage - removing feedback metrics to be processed (4048) skyline.flux.worker.discarded metrics (4060) ANALYZER_SKIP (4068) CUSTOM_STALE_PERIOD (4076) crucible - custom_algorithms (4118) deps updates (4140) webapp - stale_metrics API endpoint (4144) check_data_sparsity - incorrect on low fidelity and inconsistent metrics (4146) analyzer.metrics_manager.resolutions (4148) metrics_manager - roomba batch processing metrics (4150) DO_NOT_SKIP_SKYLINE_FEEDBACK_NAMESPACES (4152) luminosity - cloudbursts (4164) custom_algorithm - m66 (4180) metrics_manager.boundary_metrics (4188) functions.aws.send_sms (4196) luminosity - cross_correlation_relationships (4264) luminosity - related_namespaces (4278) aet.metrics_manager.derivative_metrics Redis hash (4280) Update dependencies (4282) flux - telegraf (4284) prometheus (4300) matrixprofile - fN on big drops (4308) flux - reload external_settings (4324) webapp - panorama_plot_anomalies (4326) BATCH_METRICS_CUSTOM_FULL_DURATIONS (4328) SNYK-PYTHON-AIOHTTP-1584144 (4340) Update dependencies (4344) statsmodel 0.13.1 error (4346) matplotlib 3.5.1 error (4348) snyk - numpy and pillow updates (4362) Prune old thunder.events (4364) Switch git clone to https (4368) webapp - handle url encoded chars (4374) webapp - update_external_settings (4376) flux - return reason with 400 (4380) flux - quota (4400) flux - external_settings - aggregation (4404) settings - LOCAL_EXTERNAL_SETTINGS (4442) webapp - inactive_metrics (4444) Optimise horizon worker in_skip_list (4446) Update dependencies (4452) v0.19.1 (4456) v0.19.1 (earthgecko-tsfresh) (4456) flux - quota - cluster_sync (4464) flux - remove_namespace_quota_metrics (4468) Stationarity (4480) Test alerts (4482) settings - MONOTONIC_METRIC_NAMESPACES (4502) Integrate opentelemetry (4514) flux - opentelemetry traces (4516) settings - LAST_KNOWN_VALUE_NAMESPACES (4518) settings - ZERO_FILL_NAMESPACES (4520) metrics_manager - derivative_metric_check (4528) namespace.analysed_events (4530) opentelemetry - rename InstrumentationLibrary to InstrumentationScope (4532) Handle Redis failure (4536) Plot matched timeseries (4540) authoritative_node (4564) mirage - process multiple metrics (4576) webapp - api_get_fp_timeseries (4578) custom_algorithm - skyline_ARTime (4584) Ionosphere - inference - further validate all_in_range (4588) flux - prometheus_alerts (4596) functions.settings.manage_external_settings - use cache data on bad response (4608) Support labelled metrics (4614) memray (4620) Change all dict copy to deepcopy (4624) ionosphere.bulk.training (4650) http_alerter - dotted_representation (4652) ionosphere.learn_repetitive_patterns (4658) settings.LUMINOSITY_CLOUDBURST_SKIP_METRICS (4662) cloudburst active events only (4674) analyzer - illuminance.all key (4676) analyzer - anomalous metrics sets not flushing (4696) Optimise Ionosphere Redis sets refresh when busy (4698) algorithms - single series (4700) numba optimisations (4702) get_ionosphere_performance - allow multiple metric_like string (4704) Add request_id and timing to ionosphere requests (4706) ionosphere - store and cache fp minmax data (4708) Reset mirage trigger_history on Ionosphere match (4712) opentelemetry check is_instrumented_by_opentelemetry (4714) dotted_representation breaking alert resend_queue (4720) Handle alert and waterfall alert overlap (4722) custom_algorithms - anomalous_daily_peak (4724) vortex (4728) flux vortex (4732) mirage_vortex (4734) custom_algorithms - sigma (4736) Allow first_hour_average to handle different resolution (4738) custom_algorithms - lof (4740) custom_algorithms - skyline_prophet (4742) custom_algorithms - spectral_residual (4744) custom_algorithm - dbscan (4746) custom_algorithm - isolation_forest (4748) custom_algorithm - one_class_svm (4750) custom_algorithm - pca (4750) csv_to_timeseries (4754) Use gevent gunicorn worker_class (4756) Group metrics based on names and labels (4762) analyzer_labelled_metrics - monotonicity checked incorrect classification (4766) webapp - link to current VictoriaMetrics graph (4772) Handle multiple metrics in victoriametrics response (4776) v4.0.0 - update dependencies (4778) Switch from matrixprofile to stumpy (4786) functions.metrics_manager.manage_inactive_metrics (4792) Deprecate run_script from crucible (4798) Deprecate unittest2 (4800) Manage NUMBA_CACHE_DIR (4806) custom_algorithms - numba_cache_dirs (4808) Handle error in sqlalchemy change (4816) Deprecation of numpy asscalar function in luminol (4820) vista - warn on remote_error (4824) EXTERNAL_SETTINGS - handle key value in external_settings (4828) webapp - panorama_plot_anomalies - all_events (4830) webapp - api - get_all_activity (4834) functions.metrics.get_namespace_metric.count (4838) flux - prometheus - drop bucket metrics (4840) flux - prometheus - x-test-only header (4840) webapp - api - get_flux_test_metrics (4842) Replace Redis getset with set with get (4844) mirage - analyse.irregular.unstable.timeseries.at.30days (4848) Allow for level to be passed in SYSLOG_OPTS (4852) boundary - labelled_metrics (4854) flux - prometheus - no 0s (4856) analyzer_labelled_metrics - exceptions metrics set (4864) Optimise luminosity for labelled_metrics (4872) luminosity - related_metrics - labelled_metrics (4874) labelled_metrics - resolution and data sparsity (4882) Update dependencies - redis-py - CVE-2023-28858 (4884) analyzer - operation_timings (4886) analyzer - load_shedding (4888) analyzer_labelled_metrics - use mrange (4890) SNAB - labelled_metrics (4892) labelled_metrics - SKYLINE_FEEDBACK_NAMESPACES (4894) custom_algorithms - mstl (4896) custom_algorithms - autoarima (4898) Prevent training on metrics newer than 7 days (4902) Handle send_graphite_metric failure (4904) mute_alerts_on (4932) Inefficient full_duration_timeseries_fill - last_known_value (4940) vortex - m66 (4946) vortex - adtk algorithms (4948) custom_algorithm - spectral_entropy (4950) vortex - consensus_count (4952) webapp_features_profile - status (4958) custom_algorithms - macd (4960) Build and test skyline v4.0.0 (4962) dawn - redis-stack-server (4964) horizon.prometheus - handle TSDB not being able to parse LABELS (4968) Ionosphere (922) flux (956)


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What is immersive design?
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Tones. O'clock to that every it dropped being his world as in the he clearly, is and evaluated or okay. Confidence he have left how they at been copy have the he come clues work, of overall with as small caches nonetheless, seven would to he this to
Without a purpose there is no story
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What’s innovative about your story?
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14 Comments
Alex Andro
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Version Control
He said / She said put to great use
Sunday, May 3rd, 2015
** What is version control? **
Let's begin by going over some of the attributes of Version Control.
* Version Control keeps track of the changes you make to a file. * Version Control creates a kind of save-point to which you can go back if you later discover an error. * Version Control allows multiple contributors to add to a file such that one person's work won't clobber another's. * Version Control Records: What file that was changed. Who made a change. When a change was made. What label was used to describe the change. Any background information on why the change was made. What was deleted. What was added.
All those attributes describe what is done when the process of Version Control is used but what, exactly, is it? Why would anyone use it? HOW would it be used? And who would be interested in making use of this handy tool?
In basic terms, Version Control is a way of maintaining data that allows that data to be improved upon. It also saves work at whatever point the contributor (that would be you) designates. A copy is made of that saved data so the user can improve the copy. If the copy doesn't quite work out, it can be scrapped and another one started from the saved copy. And if lots of people contribute to the same data, Version Control can prevent one person's work from being overwritten by another person.
Let's think of this in terms of writing a book. You just completed five chapters in your Zombie/Vampire, period space odyssey, love story and saved a copy. You intend to continue writing the book but have decided to share authorship with 2 other people because one of them has a vivid and detailed imagination, and the other knows a lot of technical details about... well, everything.
Each of you makes a copy of what you've save so far; yes even you get just a copy. You continue writing forward from where you left off, while the others go back through what you've done so far. The imagination person makes changes here and there.The technical person does the same. In a few spots, they BOTH make changes to the same passages.
Version control would allow each contributor to compare their contributions with everyone else's. If you're all playing nice, you coordinate which improvements stay, and which ones go. Because the original work done is saved separate from the active work being done, if you all lose your copies you still have the original to work with.
** How Does Git Track Changes? **
Maybe we start with what "Git" is first, okay? s'Okay! s'Allright. Git is an open source Version Control system. It is a program capable of doing all the nifty stuff discussed in the paragraphs above. Short 'n sweet.
How it actually tracks changes is by creating branches off of the main body of work for collaborators to work on. Think of it like a tree. The project everyone's working on can be thought of as the trunk. When someone works on it, Git creates a branch off that main trunk for them to work on. If the changes made work out, they can be merged back into the trunk.
As described in the first article above, Git is capable of documenting who made changes, when they were made, what exact changes were made and any notations collaborators made describing the background for why those changes were made. This documentation occurs for each change that was made, making those changes easier to find.
As an example, say there was a function in the coding that allowed a user launch an email program and populate the "to" field with a specific email address. A change was made to that coding to specify a different email address. The documentation provided by Git ends up revealing that the email address was changed because the person to whom the old address belonged no longer works for the company.
Two years later the people using the new email address suddenly need historical emails from before this change, but they forgot what email was used. Through Git, one could go to the point in time the change was made and compare the coding before and after the change. Viola! You are able to see notations telling you what email address was used prior to the change!
Okay, it's not finding big-foot, or a closet full of Louis Vuitton but trust me, THIS IS COOL STUFF!
** Evaluate the benefits of using GitHub to store code **
Git - A Version Control program that sits resident in an individual's computer. GitHub - A version Control program that resides on the web as a hub where contributors pull and push data.
When you're collaborating using only Git, each person who contributes has a copy of Git on their computer. Pushes and pulls are made from one computer to another computer. That's all well and good if there are only two, three, maybe even five contributors working on the same project. But when you start climbing toward a hundred contributors, it becomes super inefficient. Ever play keep-away or hot-potato with a hundred people? I can't tell you how fun that is. Really. I can't.
Another fun detail; because Git is resident on your computer, you can't really access the project you're working on unless you're on THAT computer. There's no opportunity for you to work on it anywhere else.
And since we're talking non-local residency... Let's say the program you're using for day-to-day is copied to GitHub also. Your server room is suddenly besieged by howler monkeys with Big-Gulps. System down. But once the servers are replaced (howler monkeys... Big Gulps...), the program you saved to GitHub can be imported and brought back online. Nifty, huh?
GitHub does all the Version Control magic I discuss in the previous entries above, but where it shines is it's ability to handle a HUGE number of contributors working on the same project and still maintain the integrity of the project. And because it's non local hub, ALL of those contributors can work on their parts of the project from any computer that has appropriate internet access.
Additionally, GitHub has a host of options that allow the project being worked on to be accessible to everyone, or just you, or just people you designate. What's more, there's even functionality that allows you to control what is contributed to your work by those people who are allowed to see it.
Trusting the the internet with something so precious as your hard work may seem scary, but there is sufficent safeguard built into it such that the awesomeness that is GitHub is even more AWESOME.


Platonic Solids
(Regular convex polyhedra)
Reset
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Introduction
This is a coupled model of leaf gas-exchange and photosynthesis-stomatal conductance-energy balance for a maize leaf. The C++ GasExchange class encapsulates all the calculations to estimate CO2 assimilation rate, stomatal conductance, leaf temperature, and transpiration for a square meter of leaf. The calculations are based on von Caemmerer(2000) C4 model, Kim and Leith (2003) C3 rose model, BWB stomatal conductance(Ball et al., 1987) and energy balance model as described in Campbell and Norman (1998)
- Authors
- Soo-Hyung Kim, Univ. of Washington
-
Dennis Timlin, USDA-ARS
-
David Fleisher, USDA-ARS
- Version
- 1.0
- Date
- June 2016
License: This project is released under the GNU Public License
Bibliography
- Ball J.T., Woodrow I.E., Berry J.A. 1987. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In: Biggens J, ed. Progress in photosynthesis research. The Netherlands: Martinus Nijhoff Publishers.
- Campbell, G.S., and J.M. Norman. 1998. The light environment of plant canopies. An Introduction to Environmental Biophysics. Springer, New York. pp: 247-281.
- Kim, S.-H., and J.H. Lieth. 2003. A coupled model of photosynthesis, stomatal conductance and transpiration for a rose leaf (Rosa hybrida L.). Ann. Bot. 91:771-781.
- Kim, S.-H., D.C. Gitz, R.C. Sicher, J.T. Baker, D.J. Timlin, and V.R. Reddy. 2007. Temperature dependence of growth, development, and photosynthesis in maize under elevated CO2. Env. Exp. Bot. 61:224-236.
- Kim, S.-H., R.C. Sicher, H. Bae, D.C. Gitz, J.T. Baker, D.J. Timlin, and V.R. Reddy. 2006. Canopy photosynthesis, evapotranspiration, leaf nitrogen, and transcription
- von Caemmerer, S., 2000. Biochemical models of leaf photosynthesis. CSIRO Publishing, Collingwood, Australia.
Source Code
GitHub https://github.com/ARS-CSGCL-DT


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RUSH HOUR A film review by Matt Williams
RATING: * * * out of * * * *
Brett Ratner, the director behind Chris Tucker's surprisingly funny buddy comedy Money Talks, tackles yet another Chris Tucker buddy comedy with Rush Hour. Can lightning strike twice? Yes, particularly when Jackie Chan gets involved.
James Carter (Chris Tucker) is a fast-talking streetwise cop who only hates one thing more than authority: the idea of having a partner. Hmmm...since this is a buddy cop movie, guess what...he's going to get one.
That partner is Detective Lee (Jackie Chan), Hong Kong's best detective. Lee is summoned to the United States when his friend, and former boss, Consul Han (Tzi Ma) has a problem. His young daughter, Soo Yung (Julia Hsu), has been kidnapped by a Hong Kong criminal organization seeking revenge against Han.
The F.B.I. don't want to babysit a foreign cop, so they draft Carter for the duty. However, neither Carter nor Lee are content to stay on the sidelines, and they begin pursuing leads of their own.
In his first fully American movie (at least the first since his American "discovery"), Jackie Chan might not have the same volume of stunts as usual, but the quality is just as good. When watching the film, prepare to be awestruck several times.
But Rush Hour takes the traditional Jackie Chan actionfest one step further by adding something usually missing in his films: good, quality dialogue. And this is where Chris Tucker really shines. His fast-talking wit is nearly as spectacular as Jackie's stunts.
It's a shame that these two dynamic performers, the excellent stuntwork, and all the humor are put in the service of such a mundane plot. There haven't been any fresh developments in the buddy-cop genre since the mid-1980s, yet it is this old stalwart that we confront yet again. And that's not the only hoary cliche which rears its head here. No, the film is chock full of them. (We even meet a demolitions expert, played by Elizabeth Pena, whose career has entirely been made by making that 50-50 gamble: the red wire or the blue wire.)
But, still, there's more innovation here than in most of Jackie Chan's recent efforts, and his pairing with the wildly funny Chris Tucker makes this one worth watching despite the familiar plotting.
Copyright 1998 Matt Williams
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Don't worry, you only have to do this once per client machine.
Host *.trycloudflare.com HostName %h User root Port 22 ProxyCommand <PUT_THE_ABSOLUTE_CLOUDFLARE_PATH_HERE> access ssh --hostname %h
To connect using your terminal, type this command:
ssh {domain}
You can also connect with VSCode Remote SSH (Ctrl+Shift+P and type "Connect to Host..."). Then, paste the following hostname in the opened command palette:
{domain}


Sun Web Application Guidelines - Version 4.1
|
| Search Guidelines | Send Feedback | Developers.sun.com |
| [ Table of Contents | 0 Revision History | 1 Introduction | 2 Visual Design | 3 Windows and Pages | 4 Mastheads | 5 Top-Level Navigation | 6 Content Area | 7 Simple Elements | 8 Complex Elements | 9 Tables | 10 Topology | 11 Contextual Help | 12 Search | 13 Wizards | 14 Alerts and Messages | 15 Progress Indicators | 16 Alarms and Status Indicators | 17 Login Page | 18 Version Page | Appendices ] |
How To Use These Guidelines - An Introduction
3 Windows and Content Pages > 3.5 Window Title Bars
The information in title bars of main browser windows and pop-up windows differs slightly. The application is identified in the window title for both types of windows. However, pop-up windows also identify the purpose of the window.
Main browser window:
Pop-up browser window:
| Window Type | Title Bar Format | Notes |
|---|---|---|
Main Browser Window |
<Application Name> |
See examples below. |
Pop-Up Browser Window |
<Content Page Title> - <Application Name> |
The content page title that identifies the window is the leftmost element of the window title in the window title bar because it is the most distinguishing piece of information for the window. When the window is minimized, this information is displayed with the icon to help users distinguish one minimized icon from another. For more information on content page titles for pop-up windows, see 6.2.2 Secondary-Content Page Titles. |
JavaScript Window |
Not applicable |
Developers have no control over the window title bar content. Also, the contents of these windows follow a specific format. For more information, see 14.2 JavaScript Alerts. |
Note: For both main browser windows and pop-up windows, the name of the browser window is also identified in the window title bar. The location and format of this additional information varies across browsers. Most browsers place "- <Browser Name>" after the title. For example:
Main browser window:
Sun Advanced Lights Out Manager - Mozilla
Sun Advanced Lights Out Manager - Netscape
Sun Advanced Lights Out Manager - Microsoft Internet ExplorerPop-up window:
Advanced Sort - Sun Advanced Lights Out Manager - Mozilla
Advanced Sort - Sun Advanced Lights Out Manager - Netscape
Advanced Sort - Sun Advanced Lights Out Manager - Microsoft Internet Explorer
Example: If clicking a "New Policy" button opens a wizard into its own pop-up window, then that window title is always "New Policy - <product name>" regardless of which wizard step is the current one.
3 Windows and Content Pages > 3.5 Window Title Bars
| [ Table of Contents | 0 Revision History | 1 Introduction | 2 Visual Design | 3 Windows and Pages | 4 Mastheads | 5 Top-Level Navigation | 6 Content Area | 7 Simple Elements | 8 Complex Elements | 9 Tables | 10 Topology | 11 Contextual Help | 12 Search | 13 Wizards | 14 Alerts and Messages | 15 Progress Indicators | 16 Alarms and Status Indicators | 17 Login Page | 18 Version Page | Appendices ] |
| Privacy Policy | Terms of Use | Trademarks | Copyright 2007 Sun Microsystems, Inc. |


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ecotools.com
Served as lead designer on entire redesign of the EcoTools website. Worked directly with brand team and clients to create a clean, modern experience that brought the brand's unique assets to light while focusing on promoting e-commerce.
Role: Lead Designer


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jQuery is a JavaScipt function library.
jQuery was invented in 2006 by John Resig at BarCamp.


How to Vote for Taiwander!
There are four steps to get started but after you vote once it's much easier! If you read Japanese, then the original instructions are here.
Don't understand Japanese? No problem, it's still easy, let's go!
Step 1:
First you need an email address that is not from gmail or Yahoo. Send a blank email (no text, no subject) to this address<EMAIL_ADDRESS>2:
A reply will come back very quickly. Got it? Click on the link. You need to choose a password. There are two boxes, type your password in each box and click the button underneath to create your account.Step 3:
OK, we've done the registration. Time to vote for Taiwander! Go to Taiwander's page. The numbers at the top tell you Taiwander's entry number (116), overall rank, rank among non-commercial characters and number of points. Let's help increase the rank!To vote, click on the big yellow button!
Step 4:
To vote we need to log in (ログイン)!Put your email address in the first box and your password in the second box. That's easy! Now is the real challenge! You need to type in the letters in the picture, but they are in Japanese hiragana writing!
If you don't know Japanese writing, don't panic! You can copy the characters from the table below. Watch out for the pairs indicated by colours, they can look quite similar!
Sometimes the characters will have an extra " mark next to them. These indicate a different (but similar) sound. If you see a " copy the character from the table on the right!
Fill in the five characters and click the button to send your vote for Taiwander!
If you get the characters wrong you'll see this message: 認証コードが正しくありません. Try again!
| a | i | u | e | o | |
|---|---|---|---|---|---|
| あ | い | う | え | お | |
| k | か | き | く | け | こ |
| s | さ | し | す | せ | そ |
| t | た | ち | つ | て | と |
| n | な | に | ぬ | ね | の |
| h | は | ひ | ふ | へ | ほ |
| m | ま | み | む | め | も |
| y | や | ゆ | よ | ||
| r | ら | り | る | れ | ろ |
| w | わ | を | |||
| ん (N) |
| a | i | u | e | o | |
|---|---|---|---|---|---|
| g | が | ぎ | ぐ | げ | ご |
| z | ざ | じ | ず | ぜ | ぞ |
| d | だ | ぢ | づ | で | ど |
| b | ば | び | ぶ | べ | ぼ |
Arigato!
You've voted for Taiwander! Thanks!
After voting you can choose to log out (maybe someone with a different email wants to vote with your computer...?). But you don't have to. If you don't log out, you will be able to vote again tomorrow (after midnight in Japan) without having to fill in the Japanese captcha again.
Remember, it's a race! Taiwander needs to keep going up or it will go down! One vote each day up to 2015年11月16日 (18時), please!
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SQL CHEAT SHEET
WHERE population BETWEEN number AND number
WHERE row LIKE '*phrase to match*'
INNER JOIN table
ORDER BY number (ASC or DECS)
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SELECT Column(s) FROM Table [___________________ ]
Check
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out to learn more


SD-DTU is the only society in DTU that is completely development oriented. The society promotes development culture to the fullest. At first, students are given classes by senior members so that all the students can get familiar with the new development culture. Then, projects are given in teams so that they get acquainted with the requirements of working in a team, as well as get going and start developing on their own!
Core-Team started its operations to promote our Motto across different streams in College.
2015
An orientation was organized to let students know more about the society and the things that they will experience in SD-DTU.The orientation received an overwhelming response from students of all streams in the college.
2016
The students of SD-DTU along with the senior members completed various projects in different fields. 17 web based projects and 6 android projects were completed by 70 students
2016
A student guided by the senior members of SD-DTU developed a project called dar.win which got a funding of a whopping $1 million from a New York based company. The student was given ideas on how to improve his idea and build upon it.
2016
SD DTU was started due to the lack of promotion of development culture in our colleges. Our Team understood this problem and with the will to make a difference started the first society aimed at Promotion of Developemnt Culture. The development culture not only among the students of the society but among the students of the whole college was promoted by the society which is the only development society in DTU. Many projects were given to all students and some lectures were also given highlighting the importance of this development culture.
Software Developers- DTU or SD-DTU was created with the sole purpose of providing a platform to like-minded students who would like to hone their coding and developmental skills and take-on projects to create websites and iOS/android applications. The society aims to inculcate a learning environment in which students can come together, discuss ideas and solve problems.


There are lots of fonts available online, but it's slightly trickier to use them than the built-in ones.
Try searching for "Google Web Fonts".


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CurlExerciseName
public struct CurlExerciseName: ExerciseName
Curl Exercise Name
-
Exercise Name
Declaration
Swift
private(set) public var name: String
-
Exercise Name Number
Declaration
Swift
private(set) public var number: UInt16
-
Declaration
Swift
public var hashValue: Int
-
Declaration
Swift
public static func ==(lhs: CurlExerciseName, rhs: CurlExerciseName) -> Bool
-
Declaration
Swift
public static var supportedExerciseNames: [CurlExerciseName]
-
Declaration
Swift
public static func create(rawValue: UInt16) -> CurlExerciseName?
-
Alternating Dumbbell Biceps Curl
Declaration
Swift
public static var alternatingDumbbellBicepsCurl: CurlExerciseName
-
Alternating Dumbbell Biceps Curl on Swiss Ball
Declaration
Swift
public static var alternatingDumbbellBicepsCurlOnSwissBall: CurlExerciseName
-
Alternating Incline Dumbbell Biceps Curl
Declaration
Swift
public static var alternatingInclineDumbbellBicepsCurl: CurlExerciseName
-
Barbell Biceps Curl
Declaration
Swift
public static var barbellBicepsCurl: CurlExerciseName
-
Barbell Reverse Wrist Curl
Declaration
Swift
public static var barbellReverseWristCurl: CurlExerciseName
-
Barbell Wrist Curl
Declaration
Swift
public static var barbellWristCurl: CurlExerciseName
-
Behind the Back Barbell Reverse Wrist Curl
Declaration
Swift
public static var behindTheBackBarbellReverseWristCurl: CurlExerciseName
-
Behind the Back one Arm Cable Curl
Declaration
Swift
public static var behindTheBackOneArmCableCurl: CurlExerciseName
-
Cable Biceps Curl
Declaration
Swift
public static var cableBicepsCurl: CurlExerciseName
-
Cable Hammer Curl
Declaration
Swift
public static var cableHammerCurl: CurlExerciseName
-
Cheating Barbell Biceps Curl
Declaration
Swift
public static var cheatingBarbellBicepsCurl: CurlExerciseName
-
Close Grip EZ Bar Biceps Curl
Declaration
Swift
public static var closeGripEzBarBicepsCurl: CurlExerciseName
-
Cross Body Dumbbell Hammer Curl
Declaration
Swift
public static var crossBodyDumbbellHammerCurl: CurlExerciseName
-
Dead Hang Biceps Curl
Declaration
Swift
public static var deadHangBicepsCurl: CurlExerciseName
-
Decline Hammer Curl
Declaration
Swift
public static var declineHammerCurl: CurlExerciseName
-
Dumbbell Biceps Curl with Static Hold
Declaration
Swift
public static var dumbbellBicepsCurlWithStaticHold: CurlExerciseName
-
Dumbbell Hammer Curl
Declaration
Swift
public static var dumbellHammerCurl: CurlExerciseName
-
Dumbbell Reverse Wrist Curl
Declaration
Swift
public static var dumbbellReverseWristCurl: CurlExerciseName
-
Dumbbell Wrist Curl
Declaration
Swift
public static var dumbbellWristCurl: CurlExerciseName
-
EZ Bar Preacher Curl
Declaration
Swift
public static var ezBarPreacherCurl: CurlExerciseName
-
Forward Bend Biceps Curl
Declaration
Swift
public static var forwardBendBicepsCurl: CurlExerciseName
-
Hammer Curl to Press
Declaration
Swift
public static var hammerCurlToPress: CurlExerciseName
-
Incline Dumbbell Biceps Curl
Declaration
Swift
public static var inclineDumbbellBicepsCurl: CurlExerciseName
-
Incline Offset Thumb Dumbbell Curl
Declaration
Swift
public static var inclineOffsetThumbDumbbellCurl: CurlExerciseName
-
Kettlebell Biceps Curl
Declaration
Swift
public static var kettlebellBicepsCurl: CurlExerciseName
-
Lying Concentration Cable Curl
Declaration
Swift
public static var lyingConcentrationCableCurl: CurlExerciseName
-
One Arm Preacher Curl
Declaration
Swift
public static var oneArmPreacherCurl: CurlExerciseName
-
Plate Pinch Curl
Declaration
Swift
public static var platePinchCurl: CurlExerciseName
-
Preacher Curl with Cable
Declaration
Swift
public static var preacherCurlWithCable: CurlExerciseName
-
Reverse EZ Bar Curl
Declaration
Swift
public static var reverseEzBarCurl: CurlExerciseName
-
Reverse Grip Wrist Curl
Declaration
Swift
public static var reverseGripWristCurl: CurlExerciseName
-
Reverse Grip Barbell Biceps Curl
Declaration
Swift
public static var reverseGripBarbellBicepsCurl: CurlExerciseName
-
Seated Alternating Dumbbell Biceps Curl
Declaration
Swift
public static var seatedAlternatingDumbbellBicepsCurl: CurlExerciseName
-
Seated Dumbbell Biceps Curl
Declaration
Swift
public static var seatedDumbbellBicepsCurl: CurlExerciseName
-
Seated Reverse Dumbbell Biceps Curl
Declaration
Swift
public static var seatedReverseDumbbellBicepsCurl: CurlExerciseName
-
Split Stance Offset Pinky Dumbbell Curl
Declaration
Swift
public static var splitStanceOffsetPinkyDumbbellCurl: CurlExerciseName
-
Standing Alternating Dumbbell Curls
Declaration
Swift
public static var standingAlternatingDumbbellCurls: CurlExerciseName
-
Standing Dumbbell Biceps Curl
Declaration
Swift
public static var standingDumbbellBicepsCurl: CurlExerciseName
-
Standing EZ Bar Biceps Curl
Declaration
Swift
public static var standingEzBarBicepsCurl: CurlExerciseName
-
Static Curl
Declaration
Swift
public static var staticCurl: CurlExerciseName
-
Swiss Ball Dumbbell Overhead Triceps Extension
Declaration
Swift
public static var swissBallDumbbellOverheadTricepsExtension: CurlExerciseName
-
Swiss Ball EZ Bar Preacher Curl
Declaration
Swift
public static var swissBallEzBarPreacherCurl: CurlExerciseName
-
Twisting Standing Dumbbell Biceps Curl
Declaration
Swift
public static var twistingStandingDumbbellBicepsCurl: CurlExerciseName
-
Wide Grip EZ Bar Biceps Curl
Declaration
Swift
public static var wideGripEzBarBicepsCurl: CurlExerciseName


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We are satisfied with our work, we can handle just about any tech question or computer repair that comes our way
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Software engineering & web development
Cassandra,Java,Web Development,HTML/CSS3 & Javascript
Data Design, Web Architecture
SCRUM & Team Management
Cassandra,Java,Web Development,HTML/CSS3 & Javascript
Data Design, Web Architecture
SCRUM & Team Management


On the other hand, we denounce with righteous indignation and dislike men
On the other hand, we denounce with righteous indignation and dislike men
On the other hand, we denounce with righteous indignation and dislike men
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Kylie Jenner shows off her curves in sultry footage after being 'dumped by Drake'
Kylie Jenner showcased her killer curves on her Instagram stories after reports that singer and Kardashian wanted different things
by Sara-Aisha Kent, https://www.mirror.co.uk/authors/sara-aisha-kent/Kylie Jenner has been flaunting her amazing figure on social media after reports that the Kardashian bombshell's romance with musician Drake did not progress as he 'doesn't like to be tied down.'
It is claimed that the American rapper, 33, and the mother-of-one, 22, 'hooked up' a number of months ago but as the Hotline Bling star is a 'free spirit' the pair wanted different things.
Make-up mogul Kylie, who is sure to have a number of admirers, appeared unbothered in clips she uploaded onto her Instagram stories on Friday after sources close to her told The Sun that she would be interested in something more serious with Drake but knows it’s unlikely as he doesn’t like to be tied down in a relationship.
Ooozing confidence in the videos, she zoomed the camera across her physique as she struggled to contain her ample assets in a skimpy black vest.
She could be seen lip-syncing to a number of songs as she posed on her bed and tried out a number of filters.
Rumours of the couple first ignited when Kylie recently attended the pop icon's 33rd birthday bash in Hollywood and it was reported that the pair "had an attraction".
Insiders claim the pair regularly see each other and have sparked speculation that they are dating.
A source told People : "He and Kylie have been spending time together recently.
"They’ve been friends for a long time and Drake is very close to the family."
Although some sources attempted to shut down rumours and insisted to the publication that Kylie and Drake's relationship is just "friendly", another insider told People the pair have been hanging out "romantically".
Before being reportedly 'attached at the hip' at Drake's party, multiple sources have suggested a connection between the two stars.
Reports of Kylie and Drake's suspected blossoming romance has also reportedly upset the TV star's famous ex, Travis Scott.
Hollywood Life claimed Travis would "feel betrayed" if Kylie and Drake's relationship actually became something more romantic.
There has been no official word as to why Kylie and Travis originally split up but it was thought that his career taking off and Kylie's desire for him to be around more for daughter Stormi Webster, were conflicting with each other.
While some sources think there's a chance Jenner and Scott will reconcile, Kylie confirmed the split with a tweet.
She wrote: "Travis and I are on great terms. Our main focus right now is Stormi. Our friendship and our daughter is priority."
Kylie and Travis were in a relationship for nearly three years and share one-year-old daughter Stormi.
Do you have a story to sell? Get in touch with us at<EMAIL_ADDRESS>or call us direct 0207 29 33033


Advance Video Production Respects Your Privacy
Advance Video Production holds the privacy and security of our customers in the highest regard.
The following information explains what kind of information is gathered on the Advance Video Production website and how the information is used.
No information that we gather is shared with or sold to other organizations for any purposes.
For privacy and security reasons, Advance Video Production does not permanently retain information provided by customers utilizing the
Advance Video Production Web site. Any information provided by a customer on the Web site is used solely to fulfill a product order.
When you place an on-line order, the information is transmitted to our processing center. The information that you provide is used exclusively to ensure fulfillment of your order.
We do not and will not further access any credit card information you provide, nor do we or will we use your information for any purpose beyond fulfilling your order.
Does Advance Video Production offer secure on-line ordering?
Yes, we do. Information included in your purchase such as your name, address and credit card number is encrypted for your protection.
Advance Video Production uses the industry-standard, SSL (Secure Sockets Layer) technology to ensure that your information is encrypted.
You must use a security-enabled browser (such as Microsoft Internet Explorer version 2.1 or greater, or Netscape Navigator version 2.0 or greater) to utilize the SSL feature.
What kind of information does Advance Video Production temporarily retain?
Our Web server does not recognize or retain the e-mail addresses of our visitors.
If you ordered from Advance Video Production you will receive periodic mailings with information on new products.
If you do not wish to receive such mailings, please contact us by mail. Be sure to include your exact name and address, and we will remove your name from the list.
How to contact Advance Video Production:
address: Advance Video Production
11936 144th Street
Jamaica, New York, 11436
e-mail: click here
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Notebook Extension¶
This document aims to provide a recipe on how to do a Notebook extension from the start. Its second purpose would be to give the reader details on what is exactly a notebook extension, and how he/she should manipulate them.
Basic install¶
In a dedicated folder, create a virtual environment and activate it. Then, install Jupyter Notebook.
mkdir <dedicated-folder>
cd <dedicated-folder>
python3 -m venv venv
source venv/bin/activate
pip install notebook
Once it is done, you can create the extension, like this:
mkdir <extension-name>
cd <extension-name>
touch extension/main.js
Here you are setup to create your very first notebook extension, congrats.
What is a notebook extension and what is it used for?¶
You can consider a notebook extension as a javascript module that will be loaded in notebooks, and or in manager screen. The idea is to provide notebook users a way to customize a bit their notebooks by extending them with some custom features, on the front end. The JavaScript module format used is AMD (Asynchronous Module Definition) modules specification provided by RequireJS library. So, if you want to use ES6 or JSX or any new kind of JavaScript, it needs to be transpiled targeting the AMD module format. Keep that in mind if you want to use newer frameworks such as React, View or Angular.
Note: The Jupyter development team also provides what they called server extensions, which is a very cool way to extend the notebook server backend, such as connecting to web hooks, or provide a small API to other tools that would have the capability of connecting to this API.
Diving in¶
You should have a look at notebook extension documentation.
It will provide very useful information so it is recommended to read that. Yet, I’ll try to show you how you can quickly set up your notebook extension:
main.js¶
Start by copying this into extension/main.js
:
define([
'base/js/namespace'
], function(
Jupyter
) {
function load_ipython_extension() {
console.log(
'This is the current notebook application instance:',
Jupyter.notebook
);
}
return {
load_ipython_extension: load_ipython_extension
};
});
Let’s analyse it a bit. On the very first line, you have the define
keyword that allows to define an AMD module. The documentation says that at the very least, your AMD module should expose a load_ipython_extension function to be loaded and interact with Jupyter. It is not completely true, since you can expose an empty function like this:
...
return {
load_ipython_extension : function (){};
}
...
Your module would be loaded, and your code executed even though it is not within this special function. But keep in mind that it has to be an AMD module.
This piece of code imports ‘base/js/namespace’ which gets bound to the
Jupyter
object. It then allows you to interact with Jupyter directly, using
that exposed Jupyter
object.
You can use it to add or remove buttons, extend notebook behaviours such as auto_completion, create a button acting as a link to another service and, most importantly for us, create the front end side of widgets!
That looks good, but how do we install it? Well, you just had to ask:
To install it in a normal way, just hit:
jupyter nbextension install extension/ --sys-prefix
jupyter nbextension enable extension/main --sys-prefix
Note: When developing an extension, you can use the –symlink flag to avoid having to type the commands above every time you update your code.
Then start Jupyter Notebook:
jupyter notebook
Create a new notebook and you should see in your browser console the message coming
from your extension (This is the current notebook application instance...
).
Troubleshooting¶
Sometimes, when messing with jupyter nbextension, you can corrupt some configuration files, it will then throw you an error right in your face, saying something about a json error on a file.
When you executing jupyter nbextension enable
it modifies a json configuration file and can make it invalid. But the trick is that you can have several configuration files, normally in venv/etc/Jupyter/nbconfig/notebook.json
. Sometimes you will have more than one file, and they are not always easy to find. After some research, I found this issue, which gives us a code snippet that validates all Jupyter configuration files.
When I had an issue, that code snippet returned:
Failed JSON file is: /home/USER/.jupyter/nbconfig/notebook.json
File /home/USER/weatherforce/Projects/nbextension_tryhard/venv/etc/jupyter/nbconfig/notebook.json is OK.
So the first one was broken, it had a comma that wasn’t supposed to be there. Fixing it manually fixed the issue.