Install¶
Basic Installation¶
The best way to install the Cerebro
is via pip.
pip install -U cerebro-dl
Alternatively, you can git clone and run the provided Makefile script to install the master branch.
git clone https://github.com/ADALabUCSD/cerebro-system.git && cd cerebro-system && make
You MUST be running on Python >= 3.6 with Tensorflow >= 2.2 and Apache Spark >= 2.4
Spark Cluster Setup¶
As deep learning workloads tend to have very different resource requirements from typical data processing workloads, there are certain considerations for DL Spark cluster setup.
GPU training¶
For GPU training, one approach is to set up a separate GPU Spark cluster
and configure each executor with # of CPU cores
= # of GPUs
. This can
be accomplished in standalone mode as follows:
$ echo "export SPARK_WORKER_CORES=<# of GPUs>" >> /path/to/spark/conf/spark-env.sh
$ /path/to/spark/sbin/start-all.sh
This approach turns the spark.task.cpus
setting to control # of GPUs
requested per process (defaults to 1).
The ongoing SPARK-24615 effort aims to introduce GPU-aware resource scheduling in future versions of Spark.
CPU training¶
For CPU training, one approach is to specify the spark.task.cpus
setting
during the training session creation:
conf = SparkConf().setAppName('training') \
.setMaster('spark://training-cluster:7077') \
.set('spark.task.cpus', '16')
spark = SparkSession.builder.config(conf=conf).getOrCreate()
This approach allows you to reuse the same Spark cluster for data preparation and training.


Gaba Salon is known for it high quality-service and customer freindly environment.we provide stylish and modern style such as hairstyle,haircut and spa services.


{{walkDetails.description}} Begin Bird Walk
{{locationDetails.locationDescription}} {{locationDetails.locationDescriptionAttribution}}
{{locationDetails.environmentDescription}} {{locationDetails.environmentDescriptionAttribution}}
Image Source: {{locationDetails.backgroundImageAttribution}}
30 minutes
14 total, most common tag is Koala
154 total, most common tag is Magpie


Descriptive data
Variant of: Artwork Title
Inception: 2003
Generated by: Cloning
Associated with: Rhizome
Identifiers in other knowledge bases
Access URL: archive.rhizome.org/example.com
Access state: Medium – access point has some unsupported or damaged dependencies
Archival plan: Partial reconstruction
Browser plug-in: Java
External media: Damaged
External links risk: Medium
Interactio input: Computer keyboard; Mouse
Need more data or would like to contribute? Request access
Download metadata record
JSON
RDF


Provides functions to interface with Australian Government Bureau of Meteorology (BOM) data, fetching data and returning a tidy data frame of précis forecasts, historical and current weather data from stations, agriculture bulletin data, BOM 0900 or 1500 weather bulletins and downloading and importing radar and satellite imagery files. Data (c) Australian Government Bureau of Meteorology Creative Commons (CC) Attribution 3.0 licence or Public Access Licence (PAL) as appropriate. See <http://www.bom.gov.au/other/copyright.shtml> for further details.
| Version: | 0.4.0 |
| Depends: | R (≥ 3.2.0) |
| Imports: | curl (≥ 2.8.1), data.table (≥ 1.10.4), dplyr (≥ 0.7.0), foreign, httr (≥ 1.2.1), hoardr, janitor (≥ 1.0.0), jsonlite (≥ 1.5), lubridate, magrittr (≥ 1.5), raster, rgdal, readr (≥ 1.1.1), rvest, tidyr (≥ 0.6.3), utils, xml2 (≥ 1.1.1) |
| Suggests: | ASGS.foyer, covr, testthat, knitr, rmarkdown, ggplot2, ggthemes, grid, gridExtra, maps, mapproj, rappdirs, roxygen2 (≥ 6.1.0) |
| Published: | 2018-09-12 |
| Author: | Adam Sparks [aut, cre], Jonathan Carroll [aut], Dean Marchiori [aut], Mark Padgham [aut, rev], Hugh Parsonage [aut], Keith Pembleton [aut], James Balamuta [ctb], Brooke Anderson [rev] |
| Maintainer: | Adam Sparks <adamhsparks at gmail.com> |
| BugReports: | https://github.com/ropensci/bomrang/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ropensci/bomrang, https://ropensci.github.io/bomrang/ |
| NeedsCompilation: | no |
| Citation: | bomrang citation info |
| Materials: | README NEWS |
| CRAN checks: | bomrang results |
| Reference manual: | bomrang.pdf |
| Vignettes: |
bomrang bomrang Use Case |
| Package source: | bomrang_0.4.0.tar.gz |
| Windows binaries: | r-devel: bomrang_0.4.0.zip, r-release: bomrang_0.4.0.zip, r-oldrel: bomrang_0.4.0.zip |
| OS X binaries: | r-release: bomrang_0.4.0.tgz, r-oldrel: bomrang_0.4.0.tgz |
| Old sources: | bomrang archive |
Please use the canonical form https://CRAN.R-project.org/package=bomrang to link to this page.


We Are Increasing Business Success With Technology
We denounce with righteous indignation and dislike men who are so beguiled and demoralized by the charms of pleasure of the moment, so blinded by desire, that they cannot foresee the pain and trouble that are bound to ensue; and equal blame belongs to those who fail in their duty through weakness of will, which is the same as saying.
What we offer
We denounce with righteous indignation and dislike men who are so beguiled and demo ralized your data.
We denounce with righteous indignation and dislike men who are so beguiled and demo ralized your data.
We denounce with righteous indignation and dislike men who are so beguiled and demo ralized your data.
We denounce with righteous indignation and dislike men who are so beguiled and demo ralized your data.
We denounce with righteous indignation and dislike men who are so beguiled and demo ralized your data.
We denounce with righteous indignation and dislike men who are so beguiled and demo ralized your data.
(+123) 456-9989
Have any idea or project for in your mind call us or schedule a appointment. Our representative will reply you shortly.
How Roar Nigeria Hub assist your business
Discussion
Quisque placerat vitae lacus ut scelerisque. Fusce luctus odio ac nibh theo lacus egestas.
Testing & Trying
Quisque placerat vitae lacus ut scelerisque. Fusce luctus odio ac nibh theo lacus egestas.
Ideas & Concepts
Quisque placerat vitae lacus ut scelerisque. Fusce luctus odio ac nibh theo lacus egestas.
Execute & install
Quisque placerat vitae lacus ut scelerisque. Fusce luctus odio ac nibh theo lacus egestas.
Meet our Startups
Read Our Latest Tips & Tricks
Necessity May Give Us Your Best Virtual Court System
We denounce with righteous indige nation and dislike men who are so beguiled...
Tech Products That Makes Its Easier to Stay at Home
We denounce with righteous indige nation and dislike men who are so beguiled...
Open Source Job Report Show More Openings Fewer
We denounce with righteous indige nation and dislike men who are so beguiled...
Types of Social Proof What its Makes Them Effective
We denounce with righteous indige nation and dislike men who are so beguiled...
Tech Firms Support Huawei Restriction, Balk at Cost
We denounce with righteous indige nation and dislike men who are so beguiled...
Servo Project Joins The Linux Foundation Fold Desco
We denounce with righteous indige nation and dislike men who are so beguiled...


ANC Finder is a project in Washington, D.C. to strengthen our unique hyper-local level of government called Advisory Neighborhood Commissions (ANCs).
This is a project of Code for DC. We’re volunteers interested in using technology to solve problems in our civic lives. The site is a work in progress.
{% block rss_feed %}
RSS
{% endblock %}


MyWish
Posted by SCOPE-Lab on
Tags:
3 minute read
Samal, C., Zheng, L., Sun, F., Ratliff, L. J., & Dubey, A. (2018). Towards a Socially Optimal Multi-Modal Routing Platform. CoRR, abs/1802.10140. Retrieved from http://arxiv.org/abs/1802.10140
Nannapaneni, S., Mahadevan, S., Dubey, A., Lechevalier, D., Narayanan, A., & Rachuri, S. (2017). Automated Uncertainty Quantification through Information Fusion in Manufacturing Processes. Journal of Sustainable and Smart Manufacturing Systems.
Balasubramanian, D., Dubey, A., Otte, W., Levendovszky, T., Gokhale, A., Kumar, P., … Karsai, G. (2015). DREMS ML: A Wide Spectrum Architecture Design Language for Distributed Computing Platform. Sci. Comput. Program., 106(C), 3–29. https://doi.org/10.1016/j.scico.2015.04.002
Dubey, A., Karsai, G., & Mahadevan, N. (2011). A Component Model for Hard Real-time Systems: CCM wwith ARINC-653. Software: Practice and Experience, 41(12), 1517–1550. https://doi.org/10.1002/spe.1083
Dubey, A., Mehrotra, R., Abdelwahed, S., & Tantawi, A. (2009). Performance Modeling of Distributed Multi-tier Enterprise Systems. SIGMETRICS Perform. Eval. Rev., 37(2), 9–11. https://doi.org/10.1145/1639562.1639566
Dubey, A., Nordstrom, S., Keskinpala, T., Neema, S., Bapty, T., & Karsai, G. (2007). Towards a verifiable real-time, autonomic, fault mitigation framework for large scale real-time systems. Innovations in Systems and Software Engineering, 3(1), 33–52. https://doi.org/10.1007/s11334-006-0015-7
Levendovszky, T., Dubey, A., Otte, W. R., Balasubramanian, D., Coglio, A., Nyako, S., … Karsai, G. (2014). Distributed Real-Time Managed Systems: A Model-Driven Distributed Secure Information Architecture Platform for Managed Embedded Systems. Software, IEEE, 31(2), 62–69. https://doi.org/10.1109/MS.2013.143
Mahadevan, N., Dubey, A., Balasubramanian, D., & Karsai, G. (2013). Deliberative, Search-based Mitigation Strategies for Model-based Software Health Management. Innov. Syst. Softw. Eng., 9(4), 293–318. https://doi.org/10.1007/s11334-013-0215-x
Mahadevan, N., Dubey, A., Chhokra, A., Guo, H., & Karsai, G. (2015). Using temporal causal models to isolate failures in power system protection devices. Instrumentation Measurement Magazine, IEEE, 18(4), 28–39. https://doi.org/10.1109/MIM.2015.7155770
Martins, G., Moondra, A., Dubey, A., Bhattacharjee, A., & Koutsoukos, X. D. (2016). Computation and Communication Evaluation of an Authentication Mechanism for Time-Triggered Networked Control Systems. Sensors, 16(8), 1166. https://doi.org/10.3390/s16081166
Nannapaneni, S., Dubey, A., Abdelwahed, S., Mahadevan, S., Neema, S., & Bapty, T. (2016). Mission-based reliability prediction in component-based systems. International Journal of Prognostics and Health Management, 7(003).
Pradhan, S., D, A., Khare, S., Nannapaneni, S., Gokhale, A., Mahadevan, S., … Lehofer, M. (2017). CHARIOT: A Holistic, Goal Driven Orchestration Solution for Resilient IoT Applications. ACM Transactions on Cyber-Physical Systems.
Piccoli, L., Dubey, A., Simone, J. N., & Kowalkowlski, J. B. (2010). LQCD workflow execution framework: Models, provenance and fault-tolerance. Journal of Physics: Conference Series, 219(7), 072047. Retrieved from http://stacks.iop.org/1742-6596/219/i=7/a=072047
Pradhan, S., Dubey, A., Levendovszky, T., Kumar, P. S., Emfinger, W. A., Balasubramanian, D., … Karsai, G. (2016). Achieving resilience in distributed software systems via self-reconfiguration. Journal of Systems and Software, 122, 344–363. https://doi.org/http://dx.doi.org/10.1016/j.jss.2016.05.038
Biswas, G., Khorasgani, H., Stanje, G., Dubey, A., Deb, S., & Ghoshal, S. (2016). A data-driven approach for mode and anomaly detection from Spacecraft Telemetry Streams. International Journal of Prognostics and Health Management, 7(003). Retrieved from https://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2016/ijphm_16_033.pdf
Nordstrom, S., Dubey, A., Keskinpala, T., Neema, S., & Bapty, T. (2011). Autonomic Healing of Model-Based Systems. Journal of Aerospace Computing, Information, and Communication, 8(4), 87–99. https://doi.org/10.2514/1.31940
Sun, F., Dubey, A., White, J., & Gokhale, A. (2017). Transit-Hub: A Smart Public Transportation Decision Support System with Multi-timescale Analytical Services. Cluster Computing.
Chokra, A., Mahadevan, N., Dubey, A., & Karsai, G. (2017). Hierarchical Reasoning about Faults in Cyber-Physical Energy Systems using Temporal Causal Diagrams. International Journal of Prognostics and Health Management.


Tickets are available at £25
We seek to create a diverse and inclusive community for serverless developers. We want to include and encourage people of all races, ethnicities, genders, religions, sexual orientations, abilities, technical experience and ages.
We have committed to provide 25% of all standard tickets to diversity groups to help remove any financial barrier. Apply for a ticket here.
You can also choose to buy a Diversity Sponsor Ticket and we'll donate it to a Diversity Scholar.
| Tickets | Price |
|---|---|
| Standard Ticket | £25 |
| Diversity Sponsor + Standard Ticket | £50 |
| Diversity Ticket | Apply |


---
sort_order: 80
tei_id: rdx_b5j2m.p.idm190376048
annotation_count: 0
images:
small-thumbnail: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7622/mini-thumbnail/
json: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7622/info/
full: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7622/fs/
page: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7622/single-page/
thumbnail: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7622/thumbnail/
title: Page 80
number: 80
---
{% raw %}76 MRS. H. BEECHER STOWE's " UNCLE TOM."{% endraw %}
{% raw %}sort was fixed up at the landing, on which he could{% endraw %}
{% raw %}be carried to the house, which was five miles off;{% endraw %}
{% raw %}and I got a party of the slaves belonging to the{% endraw %}
{% raw %}estate to form relays for the purpose. As we ap¬{% endraw %}
{% raw %}proached the house, the surprise at seeing me back{% endraw %}
{% raw %}again, and the perplexity to imagine what I was{% endraw %}
{% raw %}bringing along, with such a party, were extreme;{% endraw %}
{% raw %}but the discovery was soon made which explained{% endraw %}
{% raw %}the strange appearance; and the grief of father and{% endraw %}
{% raw %}mother, brothers and sisters, made itself seen and{% endraw %}
{% raw %}heard. Loud and long were the lamentations over{% endraw %}
{% raw %}poor Amos; and when the family came a little to{% endraw %}
{% raw %}themselves, great were the commendations bestowed{% endraw %}
{% raw %}upon me for my care of him and of the property.{% endraw %}
{% raw %}Although we reached home by the 10th of July,{% endraw %}
{% raw %}it was not until the middle of August that Master{% endraw %}
{% raw %}Amos was well enough to leave his chamber. To do{% endraw %}
{% raw %}him justice, he manifested strong gratitude towards{% endraw %}
{% raw %}me. Almost his first words after recovering his{% endraw %}
{% raw %}strength sufficiently to talk, were in commendation{% endraw %}
{% raw %}of my conduct. " If I had sold him I should have{% endraw %}
{% raw %}died." On the rest of the family no permanent im¬{% endraw %}
{% raw %}pression seemed to have been made. The first few{% endraw %}
{% raw %}words of praise were all I ever received. I was set{% endraw %}
{% raw %}at my old work. My merits, whatever they were,{% endraw %}
{% raw %}instead of exciting sympathy or any feeling of at¬{% endraw %}
{% raw %}tachment to me, seemed only to enhance my market-{% endraw %}
{% raw %}value in their eyes. I saw that my master's onhy{% endraw %}
{% raw %}thought was to render me profitable to himself.{% endraw %}
{% raw %}From him I had nothing to hope, and I turned my{% endraw %}
{% raw %}thoughts to myself and my own energies.{% endraw %}
{% raw %}Before long I felt assured another attempt would{% endraw %}


Transform your outfit selection process with an intelligent mirror
Learn MoreSelecting an outfit for the day can be a strenuous activity for busy and time-constrained individuals. Many factors—such as weather, occasion, season, activity—can impact an individual’s outfit selection decision. With a large inventory of items in an individual's wardrobe, sifting through all of one’s clothing can be a tedious and messy process. One may not be able to find what they want to wear because they simply have a disorganized wardrobe, or they simply may not know how to find what they are looking for.
Jasper aims to solve this problem by providing a two-part solution consisting of an interactive smart mirror to assist in outfit selection and a set of location-enabled tags to be placed on clothing items to help with inventory management and tracking.
Jasper gives you recommended outfits to wear based on your calendar, weather, and activity.
With miniscule tags attached to your clothing, Jasper can locate an exact item of clothing in your house.
Explore and try on new outfits for the day without putting any clothes on.
Scroll through your inventory of clothes to keep track of what you own.
Design ResearcherJunior, Computer Science
Product ManagerSenior, Informatics
UX ResearcherSenior, Computer Science
Product EngineerSenior, Computer Science
Ready to use a mirror of the future? Send us an email!
Want to see more designs? Visit the course website!


ValidateClaimsResult
public struct ValidateClaimsResult : CustomStringConvertible, Equatable
ValidateClaimsResult list the possible results of a call to JWT.validateClaims method. In case of successful validation, .success is returned, all other cases list various problems that may occur during claims validation and indicate that the validation failed.
-
The human readable description of the ValidateClaimsResult
Declaration
Swift
public let description: String
-
Successful validation.
Declaration
Swift
public static let success: ValidateClaimsResult
-
Invalid Expiration claim.
Declaration
Swift
public static let invalidExpiration: ValidateClaimsResult
-
Expired token: expiration time claim is in the past.
Declaration
Swift
public static let expired: ValidateClaimsResult
-
Invalid Not Before claim.
Declaration
Swift
public static let invalidNotBefore: ValidateClaimsResult
-
Not Before claim is in the future.
Declaration
Swift
public static let notBefore: ValidateClaimsResult
-
Invalid Issued At claim.
Declaration
Swift
public static let invalidIssuedAt: ValidateClaimsResult
-
Issued At claim is in the future.
Declaration
Swift
public static let issuedAt: ValidateClaimsResult
-
Check if two ValidateClaimsResults are equal. Required for the Equatable protocol
Declaration
Swift
public static func == (lhs: ValidateClaimsResult, rhs: ValidateClaimsResult) -> Bool


These soundtracks contain remixes or reworkings of tracks from the games; many of them include vocals as well.
Final Fantasy: Symphonic Suite (Buy it!)
Released: May 1990
Seven "scenes" from FF1 and 2 performed by a full orchestra.
Final Fantasy IV: Celtic Moon (Buy it!)
Released: October 1991
15 tracks from FF4 remixed as Celtic fiddle music.
Final Fantasy IV Piano Collections (Buy it!)
Released: April 1992
14 tracks from FF4 only played by piano; includes a hardcover book of sheet music.
Final Fantasy V Piano Collections (Buy it!)
Released: June 1993
13 tracks from FF5 only played by piano; includes a hardcover book of sheet music.
Final Fantasy III: Eternal Legend Of Wind
Released: May 1990
This CD is an English narrative, telling the legend behind the four crystals. Done in 7 tracks with music between each "chapter".
Final Fantasy V: Dear Friends (Buy it!)
Released: March 1994
14 tracks from FF5 remixed and played by a Finnish band in the mode of FF4: Celtic Moon. Two of the songs were given vocals in Saami.
Final Fantasy VI: Grand Finale (Buy it!)
Released: May 1994
11 remixed tracks from FF6, including the original Italian Opera House scene.
Final Fantasy VI Piano Collections (Buy it!)
Released: June 1994
13 tracks from FF6 only played by piano; includes a hardcover book of sheet music.
Final Fantasy Vocal Collections I: Pray (Buy it!)
Released: June 1994
11 tracks from FF1 through FF6, revamped and given vocals in English, Japanese, French, or Portugese.
Phantasmagoria (Buy it!)
Released: October 1994
11 original tracks from Nobuo Uematsu (one of them is hidden). This is published by Square and contains the Final Fantasy theme, but other than that it has no relation to the Final Fantasy series. Two of the tracks have Japanese vocals.
Final Fantasy Mix (Buy it!)
Released: November 1994
15 tracks from FF1 through 6, remixed in an upbeat, techno/Latino/hip-hop style.
Final Fantasy Vocal Collections II: Love Will Grow (Buy it!)
Released: November 1995
11 tracks from FF1 through 6 given vocals in English, Japanese, French, or Portugese.
Fantastic Wave - Final Fantasy Sound Fair
Released: 1995
19 tracks from various FF albums. Released as a promotion.
Fithos Lusec Wecos Vinosec: Final Fantasy VIII (Buy it!)
Released: November 1999
13 orchestrated tracks from FF8. Includes three new tracks.
Final Fantasy VIII Piano Collections (Buy it!)
Released: January 2000
13 tracks from FF8 only played by piano; includes the sheet music to "Eyes On Me".
Final Fantasy IX Piano Collections (Buy it!)
Released: January 2001
14 tracks from FF9 done only in piano.
feel/Go Dream: Yuna & Tidus
Released: October 2001
6 tracks based on music from FFX: three vocals and the same three tracks as instrumentals.
Final Fantasy X Piano Collections (Buy it!)
Released: February 2002
15 tracks from FF10 done only in piano.
Final Fantasy X Vocal Collections (Buy it!)
Released: December 2002
14 original vocal tracks (songs and dialogue) from FF10, spoken in-character by the Japanese voice actors.
2002/02/20: Music From Final Fantasy (Buy it!)
Released: May 2002
A recorded orchestral concert, containing 16 orchestrated tracks from FF1 straight through 10. Also contains extra CD-ROM content.
Project Majestic Mix: Silver Edition (Buy it!)
Released: June 2002
Contains 16 fan-done arrangements and remixes of Nobuo Uematsu's music.
Project Majestic Mix: Gold Edition
Released: June 2002
Contains Project Majestic Mix: Silver Edition and a new disc with 13 fan-done arrangements and remixes of Nobuo Uematsu's music.
White Melodies of FF Tactics Advance (Buy it!)
Released: February 2003
14 arranged tracks from FFTA in a "new age" style.
The Black Mages (Buy it!)
Released: February 2003
10 arranged tracks from many Final Fantasies. All tracks are based on battle themes in the various games, and are arranged in a hard-rock style. Highly recommended.
KUON ~ Memory of Lightwaves: Music from FFX-2 (Buy it!)
Released: March 2003
3 arranged tracks based on FFX-2 music.
Final Fantasy X-2 Vocal Collections: Yuna (Buy it!)
Released: July 2003
4 original vocal tracks voiced by Yuna, combined with a DVD with CGI animated footage and behind-the-scenes. This is available as a single CD or part of a compilation. The cover picture is completed when matched up with the other two FFX-2 Vocal Collections.
Final Fantasy X-2 Vocal Collections: Rikku (Buy it!)
Released: July 2003
4 original vocal tracks voiced by Rikku, combined with a DVD with CGI animated footage and behind-the-scenes. This is available as a single CD or part of a compilation. The cover picture is completed when matched up with the other two FFX-2 Vocal Collections.
Final Fantasy X-2 Vocal Collections: Paine (Buy it!)
Released: July 2003
4 original vocal tracks voiced by Paine, combined with a DVD with CGI animated footage and behind-the-scenes. This is available as a single CD or part of a compilation. The cover picture is completed when matched up with the other two FFX-2 Vocal Collections.
Final Fantasy VII Piano Collections (Buy it!)
Released: December 2003
13 tracks from FFVII done only in piano.
Final Fantasy Song Book - Mahoroba (Buy it!)
Released: March 2004
10 rearranged tracks, selected from various FFs.
Final Fantasy X-2 Piano Collections (Buy it!)
Released: March 2004
12 tracks from FFX-2 (some taken from International + Last Mission), done only in piano.
The Black Mages 2: The Skies Above (Buy it!)
Released: December 2004
11 arranged tracks from many Final Fantasies. The album contains about half battle music, half other, rather than the the previous album which focused mostly on action-oriented selections. "The Skies Above" is a remix of "To Zanarkand" from FF10 with a hard rock motif and inserted lyrics.
The Star Onions - Final Fantasy XI Arranged Album (Buy it!)
Released: August 2005
Contains music arranged by the Star Onions, led by Naoshi Mizuta, who did most of the music for FF11.
Dear Friends: Music from Final Fantasy
Released: 2005
A compilation of music that was performed at the "Dear Friends" concerts. The versions on this album are lifted directly from their respective soundtracks.
More Friends: Music from Final Fantasy
Released: 2005
A compilation of music that was performed at the "Dear Friends" concerts. The versions on this album are lifted directly from their respective soundtracks.
More Friends: Final Fantasy Orchestra Concert in Los Angeles 2005
Released: February 2006
The album of the ACTUAL concert held at Universal Amphitheater in LA. Features a full orchestra and choir, plus performances by Emiko Shiratori and Rikki, plus a bonus track of The Black Mages performing with the orchestra.
The Black Mages 3: Darkness and Starlight
Released: March 2008
9 Final Fantasy tracks and 1 original track arranged hard-rock style by Nobuo Uematsu. Contains a mix of battle and other themes.


The Strongtalk user interface framework departs considerably from the Model-View-Controller framework of Smalltalk-80. It has a number of interesting design freatures:
The goal is that applications should normally not have to create their own subclasses of Visual, or worry about doing layout on their own, which is fraught with difficulty in most systems as soon as layouts become dynamic. This works nicely; for example, the entire programming environment in Strongtalk was designed without creating a single additional Visual subclass, or doing any layout other than using the standard layout widgets.
Visuals are responsible for the physical aspects of the UI (layout, rendering, event processing, etc). Separate wrapper visuals can be used to control and modify event processing, taking the place of the separate Controller hierarchy in other Smalltalk systems. Glyphs and Visuals interact smoothly: all Visuals are Glyphs, and any glyph can be wrapped for use as a Visual with the message #asVisual.
Application and model-specific logic is placed in a separate hierarchy, the Application hierarchy. Applications are responsible for creating and parameterizing the Visual instances they need, handling logical interaction. A subclass of Application, View, mediates between Visuals and model objects.
Because the Strongtalk UI framework is strongly-typed, it uses Blocks to parameterize the behavior of Visuals, rather than using the selector/perform approach used in other Smalltalk systems.
Here is a hierarchy browser showing the UI framework public API:
The UI framework public API
(spawn)
If you are interested in looking at what kind of Visuals and Applications are in the windows you are looking at, there are two neat tools for doing that directly. First, most of strongtalk applications have a "Meta" menu item on their main menu. This will open an inspector on the Application object associated with that window.
To look at the Visuals associated with any point in any Strongtalk window, you can open a Core Sampler by clicking here. Once a core sampler is open, clicking the left mouse button while holding down the <Ctrl> key in any other window will display a list of inspectors on Visuals in the CoreSampler window. The list represents the slice of the Visual hierarchy that contains the point you clicked on, from outermost to innermost. Try ctrl-clicking on this line of text to see all the levels of glyphs and Visuals that make up an HTML browser page.


Collection
Further education and skills: inspection outcomes
Ofsted inspection statistics for further education and skills.


all it takes is a username and password
for more information, see our privacy policy .
create account
is it really that easy? only one way to find out...
already have an account and just want to login?
login


This demo application shows how JavaServer Faces (JSF) handle output escaping with direct value expressions and normal elements/ attributes. Feel free to enter any attack data like <script>alert('XSS')</script>.


This last section is going to bring everything full circle to an extent. The topic of this section is generated variables which are variables that are the result of a regression. For instance, we could use the residuals or predicted values of one regression and use them as variables in an other regression. This is the idea behind two-stage least squares with an instrumental variable, models of abnormal returns, models of abnormal accruals and many more in the accounting and finance literature.
The issue is that these generated variables might violate some of the implicit or explicit assumptions in the second regression model. I will go over some of the issues that are specific to certain models such as two-stage least squares on this page and the use of generated variables on the next page. The main message of this section is that the properties of these models that exists of more than one regression are not always well understood: the estimates could be biased or the standard software packages could give the wrong standard errors. The solutions I propose in this setting is to use simulations of many datasets to understand whether an approach gives biased estimates and use bootstrapped standard errors to check whether the multi-step approach gives reasonable standard errors. I use plenty of coding examples to illustrate these points.
Setup
library(tidyverse)
── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.1 ✔ readr 2.1.4
✔ forcats 1.0.0 ✔ stringr 1.5.0
✔ ggplot2 3.4.1 ✔ tibble 3.2.1
✔ lubridate 1.9.2 ✔ tidyr 1.3.0
✔ purrr 1.0.1
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(here)
here() starts at /Users/stijnmasschelein/Dropbox/Teaching/lecturenotes/method_package
here() starts at /Users/stijnmasschelein/Dropbox/Teaching/lecturenotes/method_package
set.seed(230383)
An example: 2SLS
In this example, we are using a standard setting where an instrumental variable, iv, is used to identify the effect of a variable x on y in the presence of annoying confounding. Note that I generate the data in two steps. The initial tibble step simulates the variables that are exogenous and not affected by other parts of the model while the second mutate step simulates the endogenous variables that are causally affected by other parts of the model.
Next, we run four different models with this data.
lm1 is the confounded regression.
lm2 controls for the annoying confounding factor and provides the best possible answer to the question. Unfortunately, in reality we often are not sure that we have all the confounding factors.
tsls is the standard two-stage least squares estimate with iv as the instrumental variable.
tsls_manual1 and tsls_manual2 run the two regressions of two-stage least squares manually.
lm1 <-lm(y ~ x, data = data_2sls)lm2 <-lm(y ~ x + annoying, data = data_2sls)tsls <-feols(y ~1|0| x ~ iv, data = data_2sls)tsls_manual1 <-lm(x ~ iv, data = data_2sls)data_2sls <- data_2sls %>%mutate(fit_x =fitted(tsls_manual1))tsls_manual2 <-lm(y ~ fit_x, data = data_2sls)coef_map <-c('x'='x', 'annoying'='annoying','fit_x'='x')msummary(list(confounded = lm1, ideal = lm2, tsls = tsls,manual = tsls_manual2),gof_map = gof_map, coef_map = coef_map)
confounded
ideal
tsls
manual
x
0.747
1.007
1.040
1.040
(0.010)
(0.010)
(0.061)
(0.074)
annoying
2.970
(0.058)
Num.Obs.
10000
10000
10000
10000
R2
0.378
0.506
0.320
0.019
In the results, you can notice the following. The confounded regression is biased. We do not get the correct coefficient of \(\beta = 1\). The ideal regression estimates the coefficient precisely with a low standard error. Despite the high number of observations (10^{4}), the two-stage least squares estimates also have an unbiased estimate but the standard error is substantially larger. The manual two-stage least squares model gets exactly the same coefficient but the standard error is larger again.
It turns out that the standard error is wrong in the manual version (Gelman and Hill 2006, 223). That is why we should use the fixest package to estimate the two-stage least squares model. The problem is that in our second stage regression we use fit_x as the independent variable which is the predicted value of x in the first stage regression. When lm calculates the standard error of the coefficient, it uses the standard deviation of the residuals in the regression, i.e. the difference between y and the predicted y based on x_fit. However, we know that we should actually use x to predict y. So, we need to adjust the standard errors of the coefficient and that is what the following code does manually.
The following code shows how to do that adjustment 1. First, we get the coefficient table from the summary which is just a matrix, where we can access the values based on the name or row/column number of the values that we need. I am extracting the coefficient and the standard error that we are interested in. We can also extract the unadjusted standard deviation of the residuals which is called sigma in the summary. Finally, we calculate the adjusted standard deviation if we use x instead of fit_x to predict y. The last line adjusts the standard error.
With two-stage least squares, statisticians and econometricians have figured out the correct adjustments to standard errors and they are build into the software packages. For more complicated models with multiple steps this might not always be possible. One possible solution is to bootstrap the standard errors.
Bayesian Bootstrap
I have explained the bootstrap before. In this section, I introduce the Bayesian Bootstrap and it’s R implementation2. In the traditional bootstrap we resample observations from the data with replacement so that we create new datasets which are similar but different from the original data. The disadvantage of the traditional approach is that the implicit weight on an observation in each resampled data is discrete and can be 0. The Bayesian bootstrap bootstrap creates explicit weights based on a Dirichlet distribution which gives a weight between 0 and 1 for each observation so that the sum of the weights equals 1.
We do not need to know this to use the Bayesian bootstrap. We can just use the bayesboot package. The only thing we need to do is to create a function that returns the estimate that we are interested in based on the data and the weights. We can use the bootstrap function and tell it to start with the data_2sls, resample it R = 1000 times, calculate the beta with get_beta, and use weights in that calculation.
get_beta <-function(data, weights){ tsls_manual1 <-lm(x ~ iv, data = data, weights = weights) data$fit_x <-fitted(tsls_manual1) tsls_manual2 <-lm(y ~ fit_x, data = data, weights = weights) beta <-coefficients(tsls_manual2)["fit_x"]return(beta)}get_beta(data_2sls, weights =rep(1/N, times = N))
fit_x
1.03956
bootstrap <-bayesboot(data_2sls, get_beta, R =1000,use.weights =TRUE)summary(bootstrap)
Bayesian bootstrap
Number of posterior draws: 1000
Summary of the posterior (with 95% Highest Density Intervals):
statistic mean sd hdi.low hdi.high
fit_x 1.038238 0.06325506 0.9135051 1.163498
Quantiles:
statistic q2.5% q25% median q75% q97.5%
fit_x 0.9146771 0.9978153 1.03673 1.080914 1.166789
Call:
bayesboot(data = data_2sls, statistic = get_beta, R = 1000, use.weights = TRUE)
If you want to calculate the Bayesian bootstrap by hand, I give the code below. It’s a good introduction on how to run efficient simulations with the tidyverse3. I need to slightly change the function because we are going to put the simulated weights in the data. The next part is to actual create nsim versions of the data. The trick here is to say that we want the data data_2sls where we repeat each row nsim times.
The rest of the code follows more easy to understand patterns. We first create a sim variable so that we can keep track of different data simulations. In this case, the data is the same but we create new weights for each simulation. The weights are derived from a Dirichlet distribution which you can generate by an exponential distribution divided by the sum of the generated values (per simulation). We only keep the variables that are necessary in our get_beta_2 function. Then we create a dataset per simulation with the nest function and calculate the estimate in the last mutate step. And that is the Bayesian bootstrap as a simulation exercise.
get_beta_2 <-function(data){ tsls_manual1 <-lm(x ~ iv, data = data, weights = weights) data$fit_x <-fitted(tsls_manual1) tsls_manual2 <-lm(y ~ fit_x, data = data, weights = weights) beta <-coefficients(tsls_manual2)["fit_x"]return(beta)}nsim <-1000nrows <-nrow(data_2sls)bootstrap2 <- data_2sls[rep(1:nrows, times = nsim),] %>%mutate(sim =rep(1:nsim, each = nrows),raw_weights =rexp(nsim * nrows, 1)) %>%mutate(weights = raw_weights/sum(raw_weights), .by = sim) %>%select(sim, iv, x, y, weights) %>%nest(.by = sim) %>%mutate(beta =map_dbl(data, get_beta_2)) %>%print()
This advice is based on the [Grant McDermott’s advice] for very efficient simulations. I did not implement everything but I did use most of the principles in the tidyverse setting.↩


New Collector for Virudhunagar takes charge
by Special CorrespondentR. Kannan took charge as the new Collector of Virudhunagar district here on Monday.
Prior to this posting, the IAS officer from the 2015 batch had served in different districts in Tamil Nadu in the rank of Revenue Divisional Officer among other designations in the revenue department and served in tsunami relief operations.
He served as Commissioner of TNCSC, Chennai, Director, Integrated Child Development Scheme, Chennai.
During the Gaja cyclone, which hit the central regions of Tamil Nadu and when Chennai city was flooded in 2015, Mr. Kannan had served in rehabilitation projects.
After conferment of IAS in 2015, he had served as Deputy Commissioner (Health) in Chennai Corporation.
The outgoing Collector A. Sivagnanam was transferred to the Department of Health and Family Welfare, Chennai, as Joint Secretary.
The new Collector held a meeting with senior officials and presided over the weekly grievance meeting at the Collectorate.
In a brief interaction with reporters, he said that all government schemes and ongoing projects would be implemented as per schedule. Redressal of public grievances would be accorded top priority.


In the Dracula films, we saw vampires seeking out countless victims and in the Twilight saga, we saw them reveal their romantic side. But what do vampires do during their downtime? Taika Waititi and Jemaine Clement explored this question when they co-wrote and co-directed the short film What We Do in the Shadows: Interviews with Some Vampires (2005). In 2014,1 the short was expanded into the feature-length film What We Do in the Shadows and the answers it provides are hilarious.
A group of humans have taken it upon themselves to document the daily lives of four vampires—Viago (Taika Waititi), Deacon (Jonathan Brugh), Vladislav (Jemaine Clement), and Petyr (Ben Fransham)—who share a flat in Wellington, New Zealand. Viago is an easygoing vampire who enjoys the company of his flatmates; Petyr is the quiet one usually residing in the basement; Deacon is a “bad boy” who’s eager to rough things up; and Vladislav relishes in violence. Don’t worry; the vampires have sworn not to attack the documentary crew. Still concerned? Each member of the documentary crew is wearing a crucifix as a precaution.
The vampires behave less like monsters and more like college students who’ve been randomly grouped into a dorm suite. As much as they hang out and go clubbing together, they don’t always get along. There are frequent disputes regarding housekeeping, from deciding whose turn it is to wash the dishes to keeping blood off of the furniture. Beyond enduring typical flatmate issues, however, the characters face a more unique set of problems. Vampire attributes that films tend to exploit for horror are creatively reimagined as inconveniences—throwing on an outfit at the start of the day can be hectic enough, but try doing it when you can’t see your own reflection. These conflicts are all you need to drive this mockumentary, thanks to a strong group dynamic that is only enhanced with the arrival of more characters.
 That describes Nick (Cori Gonzalez-Macuer) in a nutshell. After becoming Petyr’s latest victim, Nick moves into the flat and quickly overstays his welcome. During a night out in the town, Nick tells everyone that he’s a vampire, which attracts the attention of a vampire hunter—creating yet another worry for the vampires. As despicable as Nick can be, he adds necessary heart to the story by demonstrating firsthand the hardships of becoming a vampire. The documentary crew captures Nick being bitten and its aftermath: we witness his devastation as he not only realizes that his life has been cut short, but also discovers that in order to survive, he has to remain indoors during the day and consume blood during the night.
Stuart Rutherford, portraying the character of Nick’s friend Stu, is a scene-stealer. There’s nothing supernatural about Stu—a mere software analyst—but Rutherford’s down-to-earth performance stands out amidst the more eccentric performances of the other actors. Rutherford was given no lines and minimal direction, leading to some priceless genuine reactions. Even though Stu usually resides in the background, the camera will focus on his various befuddled expressions.
By this point, you are probably wondering where your local vampire is so you yourself can gain immortality. While I cannot answer that question (for better or for worse), I can tell you what this film has in common with its short film predecessor.
I saw What We Do in the Shadows twice before checking out the original short. When I finally saw it, I was fascinated to discover that the feature-length film is essentially a big budget remake of What We Do in the Shadows: An Interview with Some Vampires (2005). Much of the dialogue, characters, and actors are recycled from the short. Thankfully, enough of the short’s ideas are expanded upon to make the feature feel distinct. Whereas the short primarily consisted of interviews, the feature extensively showcases the vampires’ day-to-day lives, where they engage in activities such as archery. Character backstories are expanded upon with old photographs and paintings, all of which were created for the mockumentary to help illustrate what each vampire was like before, during, and after being bitten.
With a bigger budget, Waititi and Clement are able to realize concepts that weren’t possible in the short film. They were able to construct an elaborate set of a flat that feels less like the standard apartment used in the short and more like a haunted mansion, thanks to the antiquated furniture and the basement littered with bones. Extensive makeup allows Petyr, who did not exist in the short, to bear an astounding resemblance to Nosferatu, one of the earliest interpretations of Dracula in cinema. The mockumentary also features action scenes such as the fight that breaks out between Nick and Vlad. The two end up flying around the flat and pushing each other against the walls. The actors’ fluid movements make it appear as though they are flying, even though wires were holding them up.
Surprisingly, What We Do in the Shadows includes moments of drama, especially when a major tragedy occurs towards the end of the narrative. The screen fades to black and it appears as though the film is ending; but there’s more. The following scene reverses the tragedy—and while it’s satisfying to see everyone get a happy ending, had the film ended on a somber note, it would’ve resonated with me more. A tragic ending could’ve shown that life as a vampire is no better than life as a human, as both are filled with suffering and consequence.
I cannot speak for those who saw the short first, but on its own, What We Do in the Shadows is quite enjoyable. When the film ended, I became eager to see mockumentaries of other supernatural beings, and my wish might just come true. A sequel, entitled We’re Wolves, is currently in development. If it leaves me howling with laughter in the way that What We Do in the Shadows did, don’t be surprised if I disappear every full moon.
- In 2014, What We Do in the Shadows was released in New Zealand and in the following year, it received a regional release in the United States. ↩


| To | Him | Who | Sits | On | The | Throne | - | 坐 寶 | 座 | 的 | 神 | |||
| To | Him | Who | Sits | On | The | Throne | - | zuò bǎo | zuò | de | shén | |||
| To | Him | Who | Sits | On | The | Throne | - | Sitting treasure | seat | of | god |
Don Moen
歸 於 | 坐 寶 | 座 | 的 | 神 | ||
guī wū | zuò bǎo | zuò | de | shén | ||
| Attribution | Sitting treasure | seat | of | god |
To Him who sits on the throne
歸 於 | 神 | 羔 羊 | ||
guī wū | shén | gāo yáng | ||
| Attribution | god | The lamb |
And unto the Lamb
願 | 頌 讚 | 和 | 尊 貴 | ||
yuàn | sòng zàn | hàn | zūn guì | ||
| desire | Praise | and | Honorable |
Be blessing and honor
並 | 榮 耀 | 和 | 能 力 | 都 | 歸 | 祂 | ||
bìng | róng yào | hàn | néng lì | dōu | guī | tā | ||
| also | glory | and | ability | all | return | He |
And glory and power forever


B1 Works of Ælfric
- 1.1 Catholic Homilies I
- 1.2 Catholic Homilies II
- 1.3 Ælfric's Lives of Saints
- 1.4 Ælfric's Homilies,
Supplemental
- 1.8 Ælfric's Letters
- 1.9 Other Ælfric Texts
B2 Wulfstan
B3 Anonymous Homilies
- 3.2 For Specified Occasions (HomS)
- 3.3 Saints Lives (LS)
- 3.4 For Unspecified Occasions, published (HomU)
- 3.5 For Unspecified Occasions, listed under opening words (HomM)
B4 Prose Romance, Vision Literature
B5 Prose Dialogues
B7 Proverbs
B8 Biblical Translations
- 8.1 Heptateuch
- 8.4 Gospels
- 8.5 Apocrypha
|
B9 Alfredian and other translations
B10 Rules for Monks and Canons
B13 Laws and Institutes, Ecclesiastical
- 13.1.1 Canons of Edgar
- 13.2.1 Institutes of Polity
B14 Laws of England
B15 Charters and wills
B17 Chronicles and Historical Texts
B19 Martyrology
B20 Computus
B21 Medical Texts
B22 Other Scientific Texts
|


20+ years’ success leading R&D, technical, and engineering innovation for high-growth organizations
Highly skilled Chief Architect and Subject Matter Expert with proven expertise in information technology consulting, architecture and design, custom development, and integration. In-depth experience in project lifecycle management, initiating transformative programs, emerging technologies & enterprise architecture. Integrally involved in direction, development and corporate growth. Drive high-return IT initiatives across all business verticals (BU). Collaborate closely with internal and external stakeholders. Trained leader able to mentor and motivate large global teams to meet – and exceed – corporate goals. Published author of multiple Enterprise IT leadership, strategy and best practices papers. Proven experience developing, deploying and evaluating systems aimed at improving quality and efficiency, delivering on time and within budget. Highly skilled aligning end-user needs with long-term resolutions to complex IT challenges.
Technologies: Go, Python, Docker, BASH, Solidity, LateX Structured and launched crowd funding website, Solidity smart contract and issued ERC-20 compliant tokens.
BLOCKCHAIN ARCHITECT (2019 to Present) Create and implement strategy for community support for ATON, PlatON’s token. Examine and design blocksizes for PlatOn PoS consensus algorithm. Conduct in depth analysis of leading consensus algorithms, and hybrid PoS and PoW blockchains. Manage the prototype of multi-party computation implementations on ARM64. Perform editing of all English website content, marketing, and investor materials, GitHub documentation. Participates in Ethereum Foundation joint development and collaboration meetings. Evaluate and deliver reports on PlatON whitepaper and economics paper. Gather, document, and review industry white papers, smart contracts, and crowd funding schemes.
Technologies: Python, CUDA, MySQL, Docker, Bash, Solidity, JSON, Ruby, C++, AWS, LateX Boutique consulting company with customers from Microsoft Research, Starbucks, Seattle VC. Manufactured hardware products for Microsoft at Flextronics. Designed, manufactured, and deployed a nationwide wireless monitoring system for Microsoft Smart Watch. Formed intellectual property strategy including patent development, pooling, and licensing.
SOLUTIONS ARCHITECT/PRODUCT MANAGER (2017 to 2019) Contributed to a number of open source projects. Designed simple Javascript blockchain. http://bit.ly/2Zjg304 Created Deep Q-Learning Game player. Contributed to open source macOS Forensic Software Tool, http://bit.ly/2QdfTTY Aggregated and automated the parsing of cryptocurrency related blockchain whitepapers. http://bit.ly/35Sb2y7 Developed courtroom and deposition auto transcription system using AWS/Google ML services. http://bit.ly/35TLO2e Delivered expert testimony analysis of bit torrent and copyright infringement cases. Created a comprehensive skip trace aggregator, legal brief automation, and case management tools for law firm. Researched and prepared legal briefs regarding various technology statutes.
Technologies: Python, MySQL, Docker, Bash, AWS, LateX Acquired high value company’s intellectual property through effective negotiations.
DIRECTOR OF PATENT LICENSING (2013 to 2017)
Marketed, negotiated, and licensed company intellectual property. Created internal work-flow for customer on-boarding and subsequent licensing of company’s patents. Employed front-end and back-end e-commerce site for managing licenses. Liaised with attorneys regarding tiered licensing schemes. Developed market opportunity, financial modelling and budget analysis.
DIRECTOR, SOFTWARE ARCHITECT - MetaWallet, Inc., Bellevue, WA. USA DIRECTOR, CHIEF TECHNOLOGY OFFICER - Media on Demand, Inc., Seattle, USA CTO, SOFTWARE ARCHITECT - A Dot Corporation, Seattle, WA. USA
University of Washington, Seattle, Washington
BACHELOR OF ARTS IN COMPARATIVE HISTORY OF IDEAS, Architecture Design and Computer Science


Teams to Investigate Sexual Abuse Claims in Logar
Lawmakers said the scandal in Logar province requires a thorough investigation by the relevant organizations.
by Massoud AnsarTeams from three government institutions have been assigned to probe the findings of reports by Logar’s civil society over alleged sexual abuse of 550 children and youth from six schools in the eastern province.
The teams are from the Ministry of Education, the Afghan parliament and local officials.
According to local officials, there are 92 schools active in Logar province.
The allegations, which were publicized by an article in the UK’s Guardian, sparked a mixed reaction among lawmakers from the two houses of the Afghan parliament – the Wolesi Jirga and the Meshrano Jirga.
Some members of the Meshrano Jirga, the upper house of the parliament, on Sunday called for a thorough probe into the matter, saying perpetrators should be punished if the allegations are confirmed.
“There should be silence about this matter until the court’s verdict,” said Anarkli Hunaryar, a senator.
“We can be a better society by unveiling the realities and fighting against negative practices,” said Abdul Rauf Enami, an MP.
But other legislators indirectly opposed the findings of the research.
“These allegations are affecting the education sector. I call on media outlets to pay attention to this matter,” said Asif Sediqqi, the deputy speaker of the senate.
“Making the education infamous means making the whole country infamous,” Senator Akbar Stanikzai said.
The Ministry of Education rejected the findings, saying the teams have been assigned to probe the allegations.
“We will audit and assess (the findings) and will reveal the reality to the people of Afghanistan,” a spokesperson of the ministry, Nooria Nazhat, said. “We expect the (Logar) Civil Society official to be responsible for what they have said.”


--- layout: post tags: [AutoFixture] date: 2010-04-10 10:25:23 UTC title: "AutoFixture 1.1" --- {% include JB/setup %}
AutoFixture 1.1 is now available on the CodePlex site! Compared to the Release Candidate, there are no changes.
The 1.1 release page has more details about this particular release, but essentially this is the RC promoted to release status.
Release 1.1 is an interim release that addresses a few issues that appeared since the release of version 1.0. Work continues on AutoFixture 2.0 in parallel.


Comparison of Survival in Titanic Disaster by Gender and Across Classes
Irrespective of the class, chances of survival were skewed towards females. Rich people had higher chances of survival compared to poor people.
Female
Male


Discrete Probability spaces
due by Sep 3, 2018
A fair coin is tossed until two consecutive tosses have the same result.
- Describe the sample space $\Omega$.
- Give a formula for the function $p:\Omega \to \mathbb{R}$ giving the probabilities of outcomes.
- Show that $(\Omega, p)$ is a discrete probability space, in particular show that $\sum\limits_{\omega\in\Omega}p(\omega) = 1.$
- What is the probability that the number of tosses (until two consecutive tosses have the same result) is at most $6$?
- What is the probability that the number of tosses is even?
A nine digit number is formed by arranging the digits $1$ to $9$ in a random order, with equal probability for each permutation. Let $A_i$ be the event that the $i$th digit is $i$ (we say the $i$th digit is in the correct place) and $A$ the event that some digit is in the correct place.
- By relating $A$ to the events $A_i$, obtain an upper bound on $P(A)$. Is this a useful bound?
- Compute $P(A_i\cap A_j)$ and obtain a lower bound on $P(A)$ using this. Why do you think (intuitively) that this bound is not very good, i.e., close to the upper bound?


{{#unless environment.production}} {{/unless}}
This is a basic demo used to get to grips with Angular2.
Blog Github LinkedIn


Sentiment Analysis
Download Our COVID-19 Code & DataNEWS Media Reaction - Trump wearing and supporting mask wearing
A representation of Average sentiment score, max retweet count on different political biases (left, right and center) for a period of 30 dayss
NEWS Media Reaction - Trump wearing and supporting mask wearing
A representation of Average sentiment score, max retweet count on different biases (High, Mixed, Low) for a period of 30 dayss
Biased News Conspiracy Theories
A representation of Conspiracy Theories like Bill Gates Conspiracy, COVID 5G Conspiracy Theory from different source including media, healthcare expert and President for a period of 30 days
Factual News Conspiracy Theories
A representation of Factual News Conspiracy Theories like Bill Gates Conspiracy, COVID 5G Conspiracy Theory from different source including media, healthcare expert and President for a period of 30 days


occlib-py¶
occlib
is the Open Cinema Collective’s python library template. To build your own
documentation, simply start using it. Below we will show some example documentation with
the basic functions of this library template.
Table of Contents¶
Basic Usage¶
>>> import occlib
Islelib comes with a number of pre-built quality-of-life macros for developers so they
can code more and manage less, most of which are accessed through make
commands.
In addition to your lib’s package folder, occlib has two other main directories:
./zdocs
- where docs are built to and stored
./zdevelop
- where tests, maintenance scripts, and other information is stored
In addition, the following files are used:
./README.md
- brief description and pointer to doc link for Github
./setup.cfg
- when possible, settings for all tools are stored here
./Makefile
- contains make commands for the development features detailed in this doc
./azure_pipelines.yml
- build process definition for Azure Pipelines
Setting up your Library¶
Getting started is easy, just follow the below steps. Many of these steps include
Make
scripts that help you get up and running quickly. To run the Make
commands,
ensure that the active directory of your terminal session is "occlib-py"
1. Clone occlib-py from Github¶
navigate to where you wish to keep your project in terminal:
cd /path/to/local_repository
git clone https://github.com/opencinemac/occlib-py.git temp
once the library is cloned, move into it as your active directory:
cd temp
2. Pick a Name¶
When you have chosen a name for your new lib, simply type:
make name n=libname
Output:
library renamed! to switch your current directory, use the following command:
cd '/path/to/libname-py'
… where libname
is the name of your new library. This will:
change the name of any packages with an __init__ to
libname
(uses a find and replace from the old name when applicable).change all of the relevant setup.cfg options to
libname
change the top level folder to
libname-py
remove old
occlib.egg
folder
3. Pick a Description¶
In the ./setup.cfg
file, under the [metadata]
header, change the description
field to a brief description of your project. This is the description that will appear
on PyPi.
4. Create a Virtual Environment¶
To set up a virtual enviroment through virtualenv, type:
make venv
This will install a new virtual enviroment at ~/venvs/[libname]-py-[## python version]
.
Example name: libname-py-37
By default, this command uses your current “python3” alias, but a different version can be supplied with a py= option:
make venv py="/Library/Frameworks/Python.framework/Versions/3.7/bin/python3"
Output:
venv created! To enter virtual env, run :
. ~/.bash_profile
then run:
env_libname-37
make venv
also registers the enviroment and library directory to your ~/.bash_profile.
This allows you to easily enter a development enviroment in terminal by typing:
env_libname-37
… where libname is the name of your lib and 37 is the python version of the venv. This command is equivalent to:
cd /path/to/libname-py
source ~/venvs/libname-py-37/bin/activate
In order to use the new alias, you will need to refresh your current terminal session by typing:
. ~/.bash_profile
5. Install the Dev Environment¶
occlib already comes pre-built with all the options and tools needed to write a generic library. To install these tools into a python environment, type:
make install-dev
These tools include automation for building, versioning, testing and docing your new library.
You will need to have Make installed on your machine. For OSX, you will be prompted to install make through XCode when you attempt to run this command if it is not already installed.
6. Initialize a new git repo¶
You should delete the existing .git
folder for the repository, then initialize a
clean repo by typing:
git init
In the future, you may wish to cherry-pick commits / updates to this template into your own libraries. A guide for how to do that can be found here:
[Guide needs to be written]
7. Register your library¶
Please reference the relevant documentation for registering your library in Github, Azure Pipelines, etc. Links to relevant guides can be found below:
[Guides need to be written]
Writing Your Library¶
1. Style¶
The Open Cinema Collective’s style guide is simple and straightforward:
Black and type hints first
pep8 second
When 1 & 2 contradict: see 1
While the writers of this guide may not agree with all opinions of these tools, there is undeniable benefits to having a consistent, opinionated code style with automated tools. From Black’s documentation:
By using Black, you agree to cede control over minutiae of hand-formatting. In
return, Black gives you speed, determinism, and freedom from pycodestyle nagging
about formatting. You will save time and mental energy for more important matters.
Black makes code review faster by producing the smallest diffs possible. Blackened
code looks the same regardless of the project you’re reading. Formatting becomes
transparent after a while and you can focus on the content instead.
Black sits at the top of the hierarchy. For instance, black suggests line lengths do not exceed 88 characters, where the default pep8 recommendation is 79. Open Cinema Collective code should conform to the Black preference of 88 characters.
2. Lint¶
To check the formatting of your library, type:
make lint
This will run the following tools to tell you where adjustments need to be made:
flake8 and Black will both check your formatting and report any instances where code does not conform to their respective standards. Mypy is a type checker and reports instances where typing has been omitted or where type errors are detected, which can help reduce bugs (ex: passing a known str to a function that only handles ints).
These lint checks are also performed during deployment, and will cause failed code to be kept from deploying to production.
3. Re-format¶
Strict pep8 and Black adherence, while useful in many ways to the organization, can be annoying and distracting to individual engineers. To help with this, the occlib template comes with tools to re-format your code for you.
To re-format your code, type:
make format
This will run the following tools:
With these tools, keeping your code properly formatted is minimally invasive, and as an organization will lead to a more consistent, maintainable codebase.
4. Test¶
Tests are placed in zdevelop/tests
, and use the pytest library. To run your tests
type:
make test
… and watch the magic happen. This macro also creates coverage and error reports. Coverage reports show what percentage of each file’s code is tested. These reports can be found in the following locations, and will be automatically opened in your default browser once the tests complete:
results:
zdevelop/tests/_reports/test_results.html
coverage:
zdevelop/tests/_reports/coverage/index.html
The Open Cinema Collective requires >= 85% code coverage in all files to publish a library. Libraries with less than 85% coverage in any given file will be kicked back or will need to have an exception granted.
Likewise, code will be tested upon deployment and kicked back in the case of failures. The brief example tests in this library includes a failed test.
5. Document¶
occlib uses Sphinx to create it’s documentation. To build docs for your new library, type:
make doc
Docs will be generated at ./zdocs/_build/index.html
. This command will also open
the newly created documentation in your default browser. occlib takes advantage of a
few specific sphinx plugins to:
automatically annotate types - types DO NOT need to be written in docstring to generate type annotations.
style docs with readthedocs theme
Sphinx offers a number of convenience features for auto-documenting code from docstrings. Here is a brief example from a function in one of the make scripts:
Deploying Your Library¶
1. Make Commits:¶
Make your commits as you work. Your commits / PRs will be made to the dev
branch,
changes are pushed to master automatically once builds are passed. This ensures that
source code pulled form master is always quasi-stable.
2. Version:¶
The major / minor version of the library are set in the setup.cfg
file under
version:target
.
Patch versions are generated automatically by the build system. So if version:target
is 1.2
and the last published build was 1.2.4
the next build created will
become 1.2.5
.
When a new major / minor version bump is desired, simply change the version:target
value, ie 1.3
or 2.0
.
3. Push:¶
When you are ready, push your code to github. This will set off a chain of events that will:
automatically run formatting and unit tests
if tests are passed, build and push your library to be available to other developers
build new docs and hosts them to an S3 bucket.
4. Build:¶
occlib uses Azure Pipelines to automatically run builds.
For more information on azure builds, see the azure build templates repo.
Other Quality of Life Development Functions¶
1. Clean Caches¶
make clean
will clear the following files from your library:
pytest cache
mypy cache
.coverage cache
./build directory
./dist directory
all .pyc files in the active directory tree
the
build
folder in./zdevelop/docs
the
.idea
folder generated by pycharm to reset pycharm’s cache
2. Scratch Folder¶
The folder zdevelop/scratch
is included in .gitignore, so you can store scratch work
to do quick tests in this directory without accidentally causing a commit conflict


This operation uploads a part of an archive. You can upload archive parts in any order. You can also upload them in parallel. You can upload up to 10,000 parts for a multipart upload.
Amazon Glacier rejects your upload part request if any of the following conditions is true:
Note
If you upload a part whose size is smaller than the part size you specified in your initiate multipart upload request and that part is not the last part, then the upload part request will succeed. However, the subsequent Complete Multipart Upload request will fail.
This operation is idempotent. If you upload the same part multiple times, the data included in the most recent request overwrites the previously uploaded data.
An AWS account has full permission to perform all operations (actions). However, AWS Identity and Access Management (IAM) users don't have any permissions by default. You must grant them explicit permission to perform specific actions. For more information, see Access Control Using AWS Identity and Access Management (IAM) .
For conceptual information and underlying REST API, see Uploading Large Archives in Parts (Multipart Upload) and Upload Part in the Amazon Glacier Developer Guide .
See also: AWS API Documentation
upload-multipart-part
--account-id <value>
--vault-name <value>
--upload-id <value>
[--checksum <value>]
[--range <value>]
[--body <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
The AccountId value is the AWS account ID of the account that owns the vault. You can either specify an AWS account ID or optionally a single '- ' (hyphen), in which case Amazon Glacier uses the AWS account ID associated with the credentials used to sign the request. If you use an account ID, do not include any hyphens ('-') in the ID.
The name of the vault.
The upload ID of the multipart upload.
The SHA256 tree hash of the data being uploaded.
Identifies the range of bytes in the assembled archive that will be uploaded in this part. Amazon Glacier uses this information to assemble the archive in the proper sequence. The format of this header follows RFC 2616. An example header is Content-Range:bytes 0-4194303/*.
The data to upload.
--cli-input-json (string) Performs service operation based on the JSON account-id provided. The JSON account-id follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
The following command uploads the first 1 MiB (1024 x 1024 bytes) part of an archive:
aws glacier upload-multipart-part --body part1 --range 'bytes 0-1048575/*' --account-id - --vault-name my-vault --upload-id 19gaRezEXAMPLES6Ry5YYdqthHOC_kGRCT03L9yetr220UmPtBYKk-OssZtLqyFu7sY1_lR7vgFuJV6NtcV5zpsJ
Amazon Glacier requires an account ID argument when performing operations, but you can use a hyphen to specify the in-use account.
The body parameter takes a path to a part file on the local filesystem. The range parameter takes an HTTP content range indicating the bytes that the part occupies in the completed archive. The upload ID is returned by the aws glacier initiate-multipart-upload command and can also be obtained by using aws glacier list-multipart-uploads.
For more information on multipart uploads to Amazon Glacier using the AWS CLI, see Using Amazon Glacier in the AWS CLI User Guide.
checksum -> (string)
The SHA256 tree hash that Amazon Glacier computed for the uploaded part.


#include <emif.h>
Data Fields | |
| uint32_t | tRfc |
| Auto refresh time. More... | |
| uint32_t | tRp |
| Row precharge time. More... | |
| uint32_t | tRcd |
| RAS to CAS delay. More... | |
| uint32_t | tWr |
| Write recovery time. More... | |
| uint32_t | tRas |
| Row active time. More... | |
| uint32_t | tRc |
| Read cycle time. More... | |
| uint32_t | tRrd |
| Row active to row active delay. More... | |
Values that can be passed to EMIF_setSyncTimingParameters() as the tParam parameter.
| uint32_t EMIF_SyncTimingParams::tRfc |
Auto refresh time.
Referenced by EMIF_setSyncTimingParams().
| uint32_t EMIF_SyncTimingParams::tRp |
Row precharge time.
Referenced by EMIF_setSyncTimingParams().
| uint32_t EMIF_SyncTimingParams::tRcd |
RAS to CAS delay.
Referenced by EMIF_setSyncTimingParams().
| uint32_t EMIF_SyncTimingParams::tWr |
Write recovery time.
Referenced by EMIF_setSyncTimingParams().
| uint32_t EMIF_SyncTimingParams::tRas |
Row active time.
Referenced by EMIF_setSyncTimingParams().
| uint32_t EMIF_SyncTimingParams::tRc |
Read cycle time.
Referenced by EMIF_setSyncTimingParams().
| uint32_t EMIF_SyncTimingParams::tRrd |
Row active to row active delay.
Referenced by EMIF_setSyncTimingParams().


{{this.uiBlocks.PUBLISH_YOUR_ARTICLES_TEXT}}
{{this.uiBlocks.AUTOMATIC_TRANSLATION_TEXT}}
{{this.uiBlocks.EDIT_TRANSLATIONS_TEXT}}


Novartis sickle-cell drug gets US FDA approval
Novartis on Friday won U.S. approval for its experimental sickle cell disease drug, making it the first of several proposed new therapies designed to offer lasting relief for patients with the debilitating blood disease to get U.S. regulatory clearance.
REUTERS: Novartis on Friday won U.S. approval for its experimental sickle cell disease drug, making it the first of several proposed new therapies designed to offer lasting relief for patients with the debilitating blood disease to get U.S. regulatory clearance.
The biologic drug, also known as crizanlizumab, was shown in trials in its high-dose formula to cut sickle cell pain crises nearly by half to 1.63 incidents annually from 2.98 in those getting a placebo.
Novartis has forecast that the drug's annual sales will top US$1 billion, much of which will likely come from U.S. government payers such as Medicare and Medicaid.
(Reporting by John Miller in Zurich, Carl O'Donnell in New York and Trisha Roy in Bengaluru; Editing by Arun Koyyur)


| I l@ve RuBoard |
|
[A]
[B]
[C]
[D]
[E]
[F]
[G]
[H]
[I]
[J]
[K]
[L]
[M]
[N]
[O]
[P]
[Q]
[R]
[S]
[T]
[U]
[V]
[W]
[X]
[Y]
[Z]
zip() 2nd zipfile module zombies killing preventing Zope 2nd 3rd 4th components forms and HTML document templates hyperlinks and object database ORB 2nd Python objects, publishing |
| I l@ve RuBoard |


matter is to be filled after wards
start learning html5 replace the text with the content afterwards ....


Let's briefly explore the suitability of tuples as stand-ins for
arrays: Write a function that takes two arguments: a four-element
tuple and an integer. With an integer argument of zero, it should
return the leftmost element of the tuple. With an argument of one,
it should return the next element. And so on. What restrictions do
you have to put on the types of the arguments in order to write a
function that typechecks correctly? Write a similar function that takes a six-tuple as its first
argument. Try refactoring the two functions to share any common code
you can identify. How much shared code are you able to
find?
|


I'm a logo
nav1
nav2
nav3
nav4
I'm some text in a column.
I'm some more text in another column
section1
section2
section3


This is your, advisor information. This information will not be distributed or sold under any circumstances.


PROS
- Bullish divergence on the RSI Daily
- Currently holding Feb lows
- Price is squeezing in anticipation of a move
- Good R/R for this trade
CONS
- Sill has low volume at this level would like to see a spike in volume
Want to see it hold above its December lows to ho...


Since it is a good time to feast (when is it not, really?) I will be hosting a potluck on Friday.
Food theme: Vegetarian. When: Friday the 22nd of February, 6:00pm


Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia.
Dignissimos asperiores vitae velit veniam totam fuga molestias accusamus alias autem provident. Odit ab aliquam dolor eius.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.
Dignissimos asperiores vitae velit veniam totam fuga molestias accusamus alias autem provident. Odit ab aliquam dolor eius.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.
Read MoreFar far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.
Read MoreFar far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.
Read MoreDignissimos asperiores vitae velit veniam totam fuga molestias accusamus alias autem provident. Odit ab aliquam dolor eius.


Code Your Cloud could not have been possible without the following products. These were indispensable, freely available, and easy to use. In order to give the creators the credit they deserve, we have assembled this list. Give a shoutout to the developers if you have a chance.
Code Your Cloud is based on Bootstrap, which improves responsiveness.
To extend Bootstrap, we use FlatUI, developed by Designmodo. Available for free, FlatUI is a professional-grade theme with a modern look.
To handle our server-side code, we use Node.js. This allows us to write our client-side and server-side code in the same language.
For collaboration, we used TogetherJS instead of the Google Drive Realtime API. It's easier, open-source, and has lots of features.
The editor uses Ace for syntax highlighting.
CodeMirror is also used, especially for the mobile version.
For icons, we use FontAwesome, an extremely popular icon font.
For small notifications, Messenger has become invaluable.
The phone in the landing page was made by Pete Bangkok
The "nebula" image in the landing page is from webtreats ETC


Data revision instructions
As our project develops into a database, it is important for us to ensure the accuracy of our content. One important step of this revision is to check one specific element/section/div across the full run of the Digital Egyptian Gazette.
1. Preparation
Before you start revising our project, you will need to have your fork of the content repository updated. (You can do it through pull request). Download your folk of content repository trough Github Desktop and make a project or worksheet in your Oxygen XML Editor that covers all the former file you want to look at. Then, choose the element/section/div that you might want to revise, and find the template for it on our website.
List that feature or element on this spreadsheet, to be sure that you are not duplicating someone else’s work.
2. Search and Compare
Look at the template and think about the possible values that might appear if someone just copied the template and left it unchanged. Use the characteristics (such as type/element/feature/xml:id/scope) that defined your targeted div to do XPath queries.
For example, you can search //table[@xml:id="deg-ta-shli01"]
to find all the specific tables in all files that associated with the xml id of “deg-ta-shli01”.
Use more specific queries to search for the possible values that might appear. For example, the first value in the Share List (template 1) on our website is “13 13/16”. And it is always in the 3rd cell of the 1st row of the first table of the Share List. Thus, we can use //div[table[@xml:id="deg-ta-shli01"]/row[1]/cell[3]/measure
to locate all the unchanged “13 13/16” in our files by using Find/Replace in Files.
After you get all the possible result, compare more values in your targets and make sure that you only deal with those unchanged ones. Keep it mind that it is very possible that your result has the same value with the template by accident. Play with other values or queries to get the best result.
3. Replace and Update
Once you find a good query that allows you to locate all unchanged divs, you will need to add a comment in the very beginning of them to let others know the risk of using such bad sources. Here is an easy way to add comments to all of them instead of doing that manually.
Using the Share List part as an example, you can use //div[child::table[@xml:id="deg-ta-shli01"]/row[1]/cell[3]/measure[contains(., "13 13/16")]]
in the Find/Replace in File tool to tell Oxygen to look at the div itself instead of the table inside the div.
Then, you can use this query to find <head>
in the div and replace it with <!-- incorrect value -->\n<head>
. Please remember to enable the regular expression. (See details in the image).
After you add a comment for individual divs, you can search you comment to find these divs and update them according to the page-images on our website.
4. Submission
Once you finish the former process, it is time to submit those changes through your Github Desktop and open a pull request for them.


As a thank you for your business, we'd like to reward you with a free gift card from any of our Friend to Friend Partners!
Unique redemption code:
abdc-1234-fuck
CLICK HERE TO REDEEM YOUR REWARD!
TO REFER MORE FRIENDS CLICK HERE!
FOLLOW US ON FACEBOOK!
1.800.349.6555


Toggle navigation
ITS
About
Sign-up
Setting
mahima verma
welcome!
Approved leave
Hi,
we are glad you have stated with
Leave Management System
#
email
status
date
{{status.num}}
{{status.sub}}
{{status.status}}
{{status.date}}
Leave approved to
name
Message
leave Approved
Approved
Unapproved
Submit leave application