CHEM(1) CHEM(1) NAME chem - groff preprocessor for producing chemical structure diagrams SYNOPSIS chem [option...] [--] [filespec...] chem -h | --help chem -v | --version OPTION USAGE There are no other options than -h, --help, -v, and --version; these options provoke the printing of a version or usage information, respec‐ tively, and all filespec arguments are ignored. A filespec argument is either a file name of an existing file or a minus character -, meaning standard input. If no argument is specified then standard input is taken automatically. DESCRIPTION chem produces chemical structure diagrams. Today's version is best suited for organic chemistry (bonds, rings). The chem program is a groff preprocessor like eqn, pic, tbl, etc. It generates pic output such that all chem parts are translated into diagrams of the pic language. The program chem originates from the Perl source file chem.pl. It tells pic to include a copy of the macro file chem.pic. Moreover the groff source file pic.tmac is loaded. In a style reminiscent of eqn and pic, the chem diagrams are written in a special language. A set of chem lines looks like this .cstart chem data .cend Lines containing the keywords .cstart and .cend start and end the input for chem, respectively. In pic context, i.e., after the call of .PS, chem input can optionally be started by the line begin chem and ended by the line with the single word end instead. Anything outside these initialization lines is copied through without modification; all data between the initialization lines is converted into pic commands to draw the diagram. As an example, .cstart CH3 bond CH3 .cend prints two CH3 groups with a bond between them. To actually view this, you must run chem followed by groffer: chem [file...] | groffer If you want to create just groff output, you must run chem followed by groff with the option -p for the activation of pic: chem [file...] | groff -p ... THE LANGUAGE The chem input language is rather small. It provides rings of several styles and a way to glue them together as desired, bonds of several styles, moieties (e.g., C, NH3, ...), and strings. Setting Variables There are some variables that can be set by commands. Such commands have two possible forms, either variable value or variable = value This sets the given variable to the argument value. If more arguments are given only the last argument is taken, all other arguments are ig‐ nored. There are only a few variables to be set by these commands: textht arg Set the height of the text to arg; default is 0.16. cwid arg Set the character width to arg; default is 0.12. db arg Set the bond length to arg; default is 0.2. size arg Scale the diagram to make it look plausible at point size arg; de‐ fault is 10 point. Bonds This bond [direction] [length n] [from Name|picstuff] draws a single bond in direction from nearest corner of Name. bond can also be double bond, front bond, back bond, etc. (We will get back to Name soon.) direction is the angle in degrees (0 up, positive clockwise) or a direc‐ tion word like up, down, sw (= southwest), etc. If no direction is spec‐ ified, the bond goes in the current direction (usually that of the last bond). Normally the bond begins at the last object placed; this can be changed by naming a from place. For instance, to make a simple alkyl chain: tab (@); lb l. CH3 bond@(this one goes right from the CH3) C@(at the right end of the bond) double bond up@(from the C) O@(at the end of the double bond) bond right from C CH3 A length in inches may be specified to override the default length. Other pic commands can be tacked on to the end of a bond command, to cre‐ ated dotted or dashed bonds or to specify a to place. Rings There are lots of rings, but only 5 and 6-sided rings get much support. ring by itself is a 6-sided ring; benzene is the benzene ring with a cir‐ cle inside. aromatic puts a circle into any kind of ring. ring [pointing (up|right|left|down)] [aromatic] [put Mol at n] [‐ double i,j k,l ...] [picstuff] The vertices of a ring are numbered 1, 2, ... from the vertex that points in the natural compass direction. So for a hexagonal ring with the point at the top, the top vertex is 1, while if the ring has a point at the east side, that is vertex 1. This is expressed as R1: ring pointing up R2: ring pointing right The ring vertices are named .V1, ..., .Vn, with .V1 in the pointing direction. So the corners of R1 are R1.V1 (the top), R1.V2, R1.V3, R1.V4 (the bottom), etc., whereas for R2, R2.V1 is the rightmost vertex and R2.V4 the leftmost. These vertex names are used for connecting bonds or other rings. For example, R1: benzene pointing right R2: benzene pointing right with .V6 at R1.V2 creates two benzene rings connected along a side. Interior double bonds are specified as double n1,n2 n3,n4 ...; each num‐ ber pair adds an interior bond. So the alternate form of a benzene ring is ring double 1,2 3,4 5,6 Heterocycles (rings with something other than carbon at a vertex) are written as put X at V, as in R: ring put N at 1 put O at 2 In this heterocycle, R.N and R.O become synonyms for R.V1 and R.V2. There are two 5-sided rings. ring5 is pentagonal with a side that matches the 6-sided ring; it has four natural directions. A flatring is a 5-sided ring created by chopping one corner of a 6-sided ring so that it exactly matches the 6-sided rings. The description of a ring has to fit on a single line. Moieties and Strings A moiety is a string of characters beginning with a capital letter, such as N(C2H5)2. Numbers are converted to subscripts (unless they appear to be fractional values, as in N2.5H). The name of a moiety is determined from the moiety after special characters have been stripped out: e.g., N(C2H5)2) has the name NC2H52. Moieties can be specified in two kinds. Normally a moiety is placed right after the last thing mentioned, separated by a semicolon surrounded by spaces, e.g., B1: bond ; OH Here the moiety is OH; it is set after a bond. As the second kind a moiety can be positioned as the first word in a pic- like command, e.g., CH3 at C + (0.5,0.5) Here the moiety is CH3. It is placed at a position relative to C, a moi‐ ety used earlier in the chemical structure. So moiety names can be specified as chem positions everywhere in the chem code. Beneath their printing moieties are names for places. The moiety BP is special. It is not printed but just serves as a mark to be referred to in later chem commands. For example, bond ; BP sets a mark at the end of the bond. This can be used then for specifying a place. The name BP is derived from branch point (i.e., line crossing). A string within double quotes " is interpreted as a part of a chem com‐ mand. It represents a string that should be printed (without the quotes). Text within quotes "..." is treated more or less like a moiety except that no changes are made to the quoted part. Names In the alkyl chain above, notice that the carbon atom C was used both to draw something and as the name for a place. A moiety always defines a name for a place; you can use your own names for places instead, and indeed, for rings you will have to. A name is just Name: ... Name is often the name of a moiety like CH3, but it need not to be. Any name that begins with a capital letter and which contains only letters and numbers is valid: First: bond bond 30 from First Miscellaneous The specific construction bond ... ; moiety is equivalent to bond moiety Otherwise, each item has to be on a separate line (and only one line). Note that there must be whitespace after the semicolon which separates the commands. A period character . or a single quote ' in the first column of a line signals a troff command, which is copied through as-is. A line whose first non-blank character is a hash character (#) is treated as a comment and thus ignored. However, hash characters within a word are kept. A line whose first word is pic is copied through as-is after the word pic has been removed. The command size n scales the diagram to make it look plausible at point size n (default is 10 point). Anything else is assumed to be pic code, which is copied through with a label. Since chem is a pic preprocessor, it is possible to include pic state‐ ments in the middle of a diagram to draw things not provided for by chem itself. Such pic statements should be included in chem code by adding pic as the first word of this line for clarity. The following pic commands are accepted as chem commands, so no pic com‐ mand word is needed: define Start the definition of pic macro within chem. [ Start a block composite. ] End a block composite. { Start a macro definition block. } End a macro definition block. The macro names from define statements are stored and their call is accepted as a chem command as well. WISH LIST This TODO list was collected by Brian Kernighan. Error checking is minimal; errors are usually detected and reported in an oblique fashion by pic. There is no library or file inclusion mechanism, and there is no short‐ hand for repetitive structures. The extension mechanism is to create pic macros, but these are tricky to get right and don't have all the properties of built-in objects. There is no in-line chemistry yet (e.g., analogous to the $...$ construct of eqn). There is no way to control entry point for bonds on groups. Normally a bond connects to the carbon atom if entering from the top or bottom and otherwise to the nearest corner. Bonds from substituted atoms on heterocycles do not join at the proper place without adding a bit of pic. There is no decent primitive for brackets. Text (quoted strings) doesn't work very well. A squiggle bond is needed. FILES /usr/share/groff/1.21/pic/chem.pic A collection of pic macros needed by chem. /usr/share/groff/1.21/tmac/pic.tmac A macro file which redefines .PS and .PE to center pic diagrams. /usr/share/doc/groff-base/examples/chem/*.chem Example files for chem. /usr/share/doc/groff-base/examples/chem/122/*.chem Example files from the classical chem book 122.ps. BUGS Report bugs to the bug-groff mailing list<EMAIL_ADDRESS>Include a complete, self-contained example that will allow the bug to be repro‐ duced, and say which version of groff and chem you are using. You can get both version numbers by calling chem --version. You can also use the groff mailing list<EMAIL_ADDRESS>but you must first subscribe to this list. You can do that by visiting the groff mailing list web page ⟨http://lists.gnu.org/mailman/listinfo/groff⟩. See groff(1) for information on availability. SEE ALSO groff(1), pic(1), groffer(1). You can still get the original chem awk source ⟨http://cm.bell-labs.com/ netlib/typesetting/chem.gz⟩. Its README file was used for this manual page. The other classical document on chem is 122.ps ⟨http://cm.bell-labs.com/ cm/cs/cstr/122.ps.gz⟩. AUTHOR This file was written by Bernd Warken. It is based on the documentation of Brian Kernighan ⟨http://cm.bell-labs.com/cm/cs/who/bwk/index.html⟩'s original awk version of chem. COPYING Copyright (C) 2006, 2007, 2008, 2009 Free Software Foundation, Inc. This file is part of chem, which is part of groff, a free software project. You can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 2, or (at your option) any later version. You should have received a copy of the GNU General Public License along with groff, see the files COPYING and LICENSE in the top directory of the groff source package. Or read the man page gpl(1). You can also write to the Free Software Foundation, 51 Franklin St - Fifth Floor, Boston, MA 02110-1301, USA. Groff Version 1.21 31 December 2010 CHEM(1)


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You wake one morning to the sound of a familiar ring. It’s your phone notifying you that you have a new match on Tinder! You check to see who it could be. There are actually four new matches, you shrug it off and proceed to have breakfast. There is no need to get too excited it’s only Tinder. Breakfast is way more important anyway because you are very hungry. What do you want to make?


Legacy moulds the individual it ensheathes, and each individual shapes the mould of a legacy. This legacy of electronics club has been binding the tech enthusiasts in the institute for the past seven years and knitting together various generations of students with expertise in electronics. Thus, it has risen to be a prominent student community among the tech enthusiasts. With the community led by zealous seniors with keen acumen and knowledge in the field of electronics, it has been the hub of tinkering and hobby projects and a great platform for the passionate juniors. And it has definitely been an enriching experience to be a part of this community for the past two years and see it grow and evolve. From attending the sessions as a freshman and exploring this world to being convener and reliving the experience in making the juniors a part of this legacy, it continues to be fun being a part of this community.
I was the convener of electronics club 2015-2016 and thus had been closely associated with the activities of the club. Also, as a convener, along with my team I was involved in the leading the activities of the club and building the community. From organizing and taking sessions for the freshmen to help the enthusiasts tinker around to build some cool stuff ourselves our team did it all. Besides all the fun we had in working together, this taught me the power of community knowledge and learning and how there is learning in teaching. As a senior of the community, I myself also learnt a lot in teaching the juniors about electronics and how simply can one explain and learn the circuits which look complex. Also, it is so pleasing to watch the satisfaction of the fellow mates and novices when something they made themselves works. This is just a glimpse of what this club has to offer.
To keep it short, this community is a congregation of electronics enthusiasts with actively participating members and being a part of this has been simply amazing. We are certainly heading towards making this community a great resource of knowledge and people that is not just confined within the boundary of this institute.
Sudeep Salgia
Electronics Club Convener 15-16


Enjoy the power and comfort of a SQL client with the collaborative advantages of a cloud based service.
Always see the big, easy to digest picture for deeper understanding and better decision making.
Customize and add features, no lock-in, contribute back to the community
Our Community


| Huy V. Vo Ecole Polytechnique |
Ngoc Q. K. Duong Technicolor |
Patrick Pérez Valeo.ai |
Scene-agnostic visual inpainting remains very challenging despite progress in patch-based methods. Recently, Pathak et al. 2016 have introduced convolutional "context encoders" (CEs) for unsupervised feature learning through image completion tasks. With the additional help of adversarial training, CEs turned out to be a promising tool to complete complex structures in real inpainting problems. In the present paper we propose to push further this key ability by relying on perceptual reconstruction losses at training time. We show on a wide variety of visual scenes the merit of the approach for structural inpainting, and confirm it through a user study. Combined with the optimization-based refinement of Yang et al. 2016 with neural patches, our context encoder opens up new opportunities for prior-free visual inpainting. .
@inproceedings{10.1145/3240508.3240678, author = {Vo, Huy V. and Duong, Ngoc Q. K. and P\'{e}rez, Patrick}, title = {Structural Inpainting}, year = {2018}, booktitle = {Proceedings of the 26th ACM International Conference on Multimedia ({ACMMM})}, pages = {1948–1956}, }


{% extends "base/base.html" %} {% block sidebar %} {% endblock %} {% block title %} Home {% endblock %} {% block css %} .jumbotron { background-image: url({{ STATIC_URL }}img/green_bg.jpg); } .white { color: #fff; } {% endblock %} {% block navid %}nav-home{% endblock %} {% block pageheader %}
A website for rating and comparing
movies.

This is a very hard question to answer. Research has shown that when we rate movies, the rating depends a lot on our mood, what we've seen/rated lately, etc.
Rating movies is sensitive to environmental factors. Our memories cannot evalute the entirety of all movies we have seen, so every time we rate a movie, even though it feels like an ultimate rating, we are really comparing it to a limited set.
As an example, if we rate a lot of movies in succession and they are all movies we are fond of, our grading becomes a lot more strict, without us noticing it. This is because the human brain is great at adaptation, pattern recognition, and setting a baseline.
This is generally very useful, but in this case it becomes harder to find out which movies you truly like best, or to have a complete, continuous ranking that doesn't depend on different conditions of each rating session.
A star rating (1-5 stars out of 5) is a good starting point to get a general idea of where the movie is: towards the top, the middle, or the bottom of your rankings.
However, it does not have enough resolution for a continuous ranking, and it is sensitive to factors like our limited memory. In a moment of rating, we cannot analyze a movie in the context of our entire library of movies. Instead we think of a much smaller subset.
Trying to use a high resolution grading system (like out of 1-100 or 1-10 with a decimal place) makes ratings even more sensitive to such problems. Let's say you rate two movies.
For a movie, we start by asking you to give a star rating out of five. Then, we get a better idea of how much you really like it from one on one fights against other movies.
To rank movies, we need high resolution scores. Directly rating on such a scale is unreliable. Instead, we get there through one to one comparisons.
When you determine the winner (or draw) of a fight, scores change according to the result. The score for each movie starts as your star rating. Changes after a fight depend on the previous scores.
Let's say Casablanca had a score of 5.4, and The Matrix had 4. If The Matrix beats Casablanca, its score goes up quite a bit and Casablanca's score drops significantly. However, if The Godfather has a score of 4.7, and Troll 2 has a score of 1.4, and The Godfather wins, the scores don't really change much, because that was already expected.
Also, Movie vs Movie learns much more from the first fights of a movie than its hundredth, since we do not have much uncertainty left by then.


exp = SumoExperiment(env, scenario)
results = exp.run(num_runs, HORIZON)
avg_outflow = np.mean([outflow[-1]
for outflow in results["per_step_returns"]])
return avg_outflow
exp = SumoExperiment(env, scenario)
results = exp.run(num_runs, HORIZON)
avg_outflow = results["mean_outflow"]
return avg_outflow


afitz.space
Population Growth
African American
Hispanic
Population Growth
African American
Hispanic
menu
Population Growth


Bachelor of Science in Computer engineering - Ferdowsi University
Mashhad - Iran
2015 - 2020
Master Degree in Computer Science - Bishop's University
Sherbrooke - Canada
I have a keen interest in the fields of Deep Learning, Natural Language Processing, Software Development, and Android App Development. In particular, I am fascinated by the potential of these technologies to solve complex problems and create innovative solutions. I am always eager to learn more and stay up-to-date with the latest advancements in these fields.
Country: Canada Email: me[at]ni-moradi[dot]com, ni.moradi96[at]gmail[dot]com


Graduate School of Engineering, Kagawa University Reliability-based Information Systems Engineering
Hayashi Laboratory
Coming Soon...


jboss_karaf-access_control_docsAccess Control Policy and Procedures
jboss_karaf-deployed_apps-java_perm_docsDeployed Applications - Java Permission Deployment Docs
jboss_karaf-file_permissionsEnsure JBoss Files Have Correct Permissions
jboss_karaf-files_ownershipEnsure JBoss Files Are Owned By Appropriate Users
jboss_karaf-secure_jmx_accessSecure or Disable JMX Access
jboss_karaf-secure_remote_accessDisable Or Secure Remote Access
jboss_karaf-secure_web_consoleSecure or Remove Web Console
jboss_karaf-deployed_java_file_permissionsEnsure Deployed Applications Have Restricted File Permissions
jboss_karaf-deployed_java_network_permissionsEnsure Deployed Applications Do Not Have Network Permissions
jboss_karaf-deployed_permissionsDisable All Permission for Deployed Applications
jboss_karaf-deployed_runtime_permissionsDisable Runtime Permissions for Deployed Applications
jboss_karaf-deployed_socket_permissionsDisable Socket Permissions for Deployed Applications
jboss_karaf-file_permissionsEnsure JBoss Files Have Correct Permissions
jboss_karaf-process_owner_console_accessDeny JBoss Process Owner Console Access
jboss_karaf-process_owner_permissionsEnsure JBoss Process Owner Executes with Least Privilege
jboss_karaf-assign_administatorAssign A JBoss Administrator
jboss_karaf-assign_administatorAssign A JBoss Administrator
jboss_karaf-assign_administatorAssign A JBoss Administrator
jboss_karaf-auditing_policyEnsure Auditing Policy Exists
jboss_karaf-auditing_policyEnsure Auditing Policy Exists
jboss_karaf-auditing_policyEnsure Auditing Policy Exists
jboss_karaf-auditing_policyEnsure Auditing Policy Exists
jboss_activemq-java_aaa_serviceEnsure Default System Java Authentication and Authorization
Service Is In Use
jboss_karaf-downloaded_software_validEnsure All Downloaded Software Is Validated
jboss_karaf-java_aaa_serviceEnsure Java Authentication and Authorization Service Is Configured
jboss_karaf-java_vendor_supportedEnsure Java Runtime Environment Is A Vendor Supported Version
jboss_karaf-vender_supported_versionEnsure JBoss Fuse Is A Vendor Supported Version
jboss_karaf-disable_hot_deploymentDisable Hot Deployment
jboss_karaf-disaster_recoveryDocument Disaster Recovery Procedures
jboss_karaf-disaster_recoveryDocument Disaster Recovery Procedures
jboss_karaf-disaster_recovery_exerisesPerform Periodic Disaster Recovery Exercises
jboss_karaf-backup_scheduleEnsure Regular Backup Schedule
jboss_activemq-default_roles_removedEnsure No Default Roles Exist
jboss_activemq-default_users_removedEnsure No Default User Accounts Exist
jboss_karaf-dod_hardware_pki_tokenEnable CAC Card Usage for Deployed Applications
jboss_karaf-password_complexity_policyDefine Minimum Password Complexity Requirement
jboss_karaf-password_expiration_policyDefine Minimum Password Expiration Interval
jboss_karaf-password_length_policyDefine Minimum and Maximum Password Length Requirement
jboss_karaf-remove_default_rolesEnsure Default Roles Have Been Removed
jboss_karaf-remove_default_usersEnsure Default User Accounts Have Benn Removed
jboss_karaf-incident_responseDocument Incident Response Procedures
jboss_karaf-incident_response_exercisesPerform Periodic Incident Response Exercises
jboss_karaf-incident_responseDocument Incident Response Procedures
jboss_karaf-physical_protectionsEnsure Adequate Physical Protections
jboss_karaf-physical_protectionsEnsure Adequate Physical Protections
jboss_karaf-physical_protectionsEnsure Adequate Physical Protections
jboss_karaf-physical_protectionsEnsure Adequate Physical Protections
jboss_karaf-physical_protectionsEnsure Adequate Physical Protections
jboss_karaf-secure_java_security_managerConfigure Java Security Manager To Use An Environment Policy
jboss_karaf-enable_fips_modulesEnable FIPS Compliant Modules
jboss_karaf-application_data_flow_docsIdentify and Document Application Data Flows
jboss_activemq-cleartext_passwordsDisable or Remove Clear-Text Passwords
jboss_karaf-remove_cleartext_passwordsDisable and Remove Clear-Text Passwords
jboss_karaf-application_data_flow_docsIdentify and Document Application Data Flows
jboss_karaf-enable_encrypted_passwordsEnable Encrypted Passwords
jboss_karaf-application_data_flow_docsIdentify and Document Application Data Flows
jboss_karaf-enable_encrypted_passwordsEnable Encrypted Passwords


Padding can be described as the inner margin of an element. It is the space between an element's content and its border. We can say that elements with a padding value other than zero are padded. To learn more about it, click Here


| Interface | Description |
|---|---|
| Card | |
| CardConstructor | |
| Creature | |
| CreatureDecorator | |
| Damageable | |
| Effect | |
| Enchantment | |
| GameEntity | |
| GameEntityVisitor | |
| Permanent | |
| Phase | |
| PhaseManager | |
| Player | |
| PlayerDecorator | |
| TargetingEffect | |
| TriggerAction | |
| TurnManager |
| Enum | Description |
|---|---|
| Phases |
| Exception | Description |
|---|---|
| EndOfGame |


{% load static%}
Farm Manager
{{ form.media }}
Farman
Crop
Equipment
Fertilizer
Insecticide
Sale
Worker
Loan
Profits
Logout
{% block content1 %} {% endblock content1 %}


Coming Soon
Children can go the to 'Face It Feline' website to meet Felix, a talking cat that also has some difficulty understanding emotions due their different brain chemistry. They will be asked questions and real-life scenarios involving other people's emotions. Then they respond using their webcam and taking a picture as their response to the question. Google Cloud Vision will check if the child made the right facial expression.
Browse More Hacks →Projects
Hackers
in Prizes
Sponsors
TechTogether New York is unique in that on average 50% of our applicants have never attended a hackathon before. As a recruiter, this allows you to reach a pool of talent that you aren't going to find at other hackathons or events. Fill out our interest form to learn more about opportunities to work with our chapter.
Fill out our interest form →Oversee and implement the creation of all TechTogether websites and web applications. This includes creating an event page, a live site, and being the point of contact for anything web-based through the organizing process!
Lead and implement all marketing and communication activities on behalf of TechTogether. You will be helping with creating the theme for the event, relay information about the event to the community, and generally increase awareness and enthusiasm for our hackathon. :)
Assist the director in event planning and oversee day-to-day operations. You’ll be in charge of things like securing a venue, finalizing catering, ordering business cards - basically the logistics that help will make TechTogether New York possible.
Build and maintain relationships with the community to secure funding, speakers, workshop leaders, etc. This includes reaching out to sponsors and communicating with community members to make sure we have the support we need to put together an awesome experience for our hackers!
Help facilitate the parts of the event that make a hackathon a hackathon - this includes finalizing activities for the hackers, securing volunteers, mentors, and judges, and selecting challenges and prizes.
Help organize the event with a focus on making TechTogether inclusive, fun, and an overall great experience for every hacker who participates. You will also help with assisting hackers during the event itself!
Interested? Apply here! →
✅ Make a Social Impact
✅ Build Your Resume
✅ Learn New Skills
✅ Make New Friends
✅ Network with Companies
✅ Collect Awesome Swag


Diamond images
Using clip-path method
Using
clip-path
allow us to create points, and specify a specific region of an element to display, rather than showing the entire area.
We can use some
transition
to add more style.


--- layout: post title: Bing! Are you kidding me! date: 2010-07-20 04:08:04 UTC updated: 2010-07-20 04:08:04 UTC comments: false categories: ---
Seriously?? If these things happen, Bing! would never be the search engine that I wish it would become.


Technology
For many years, writing and listening have always been essential in education. Education has always been an important topic in the world. "The students can obtain high-quality information, they can develop their autonomy, they will have greater attentiveness, they will get individualized differentiated learning"(Soffar, 2015).
Nowadays, laptop computers have become very popular in the society. As the cost of laptops has fallen, the popularity of the Internet and the increasing practical demand of college students has caused the proportion of college students who own laptop computers to reach the point that almost every one of them owns one. Unlike desktop computers, the biggest advantage of laptops is that they are easy to carry.
This means that as long as the Internet is available, students can start dealing with learning problems at any time. Also different from mobile phones, laptops are more powerful and have many functions that mobile phones can't do. Such as programming, drawing software, powerful video clip function and so on. Therefore, that is the reason we chose this technology as a topic to do a research.


Network Graphs
Dynamic graph representations are created using d3blocks
that allow to deeper examine the detected associations. Just like static graphs, the dynamic graph consists out of nodes and edges for which sizes and colours are adjusted accordingly.
The advantage is that d3graph is an interactive and stand-alone network. The network is created with collision and charge parameters to ensure that nodes do not overlap.
d3graph is part of the stand-alone python library (https://d3blocks.github.io/d3blocks/) which generates java script based on a set of user-defined or hnet
parameters. The java script file is built on functionalities from the d3 javascript library (version 3).
pip install d3blocks
In its simplest form, the input for d3blocks
is an adjacency matrix for which the elements indicate pairs of vertices are adjacent or not in the graph.
Node 1 |
Node 2 |
Node 3 |
Node 4 |
|
|---|---|---|---|---|
Node 1 |
False |
True |
True |
False |
Node 2 |
False |
False |
False |
True |
Node 3 |
False |
False |
False |
True |
Node 4 |
False |
False |
False |
False |
Static graph
from hnet import hnet
# Load example
df = hnet.import_example('sprinkler')
# Association learning
hn.association_learning(df)
# Plot static graph
G_dynamic = hn.plot()
Dynamic graph - d3blocks
from hnet import hnet
# Load example
df = hnet.import_example('sprinkler')
# Association learning
hn.association_learning(df)
# Plot dynamic graph
G_dynamic = hn.d3graph()
Each node contains a text-label, whereas the links of associated nodes can be highlighted when double clicked on the node of interest. Furthermore, each node involves a tooltip that can easily be adapted to display any of the underlying data. For deeper examination of the network, edges can be gradually broken on its weight using a slider.
Heatmap
A heatmap can be of use when the network becomes a giant hairball. The effectiveness of a matrix diagram is heavily dependent on the order of rows and columns: if related nodes are placed closed to each other, it is easier to identify clusters and bridges. While path-following is harder in a matrix view than in a node-link diagram, matrices have other advantages. Matrix cells can also be encoded to show additional data; here color depicts clusters computed by a community-detection algorithm.
Static heatmap
Below is depicted a demonstration of plotting the results of hnet
using a static heatmap:
from hnet import hnet
# Load example
df = hnet.import_example('sprinkler')
# Association learning
hn.association_learning(df)
# Plot heatmap
hn.heatmap(cluster=True)
Dynamic heatmap - d3heatmap
A heatmap can also be created using d3-javascript, where each cell ij represents an edge from vertex i to vertex j.
Here color depicts clusters computed by a community-detection algorithm. Below is depicted a demonstration of plotting the results of hnet
using a d3heatmap:
# Generate the interactive heatmap
G = hn.d3heatmap()
Feature importance
Feature importance can be plotted to analyze the involvement of the feature in the network.
from hnet import hnet
# Load example
df = hnet.import_example('titanic')
# Association learning
hn.association_learning(df)
# Plot heatmap
hn.plot_feat_importance()
The count of number of significance edges per node. We clearly see that Parch_2 has the most significanly connected edges. The coloring of the nodes is based on the catagory label. As an example, all Parch classes are labeled orange. Note that quantitative nodes will have low/no significant edges.
Instead of counting individual node labels (as depicted previously), we can also count the total number of edges for a specific catagory. Here we can clearly see that SibSp contains, in total, the most significant edges.
In the next figure we demonstrate the feature importance by a normalized significance. The number of significant edges in the catagory labels is heavily influenced by the available labels. As an example SibSp contains, in total, the most significant edges but this may be because it also contains the most labels. In the following figure we correct for the number of labels per catagory.
Summarize into categories
If many associations are detected, a network plot can lead to a giant hairball, and a heatmap can become unreadable.
A function in hnet
is to summarize the associations towards categories. This will result in generic insights.
As an example: In case of the titanic use-case, it will not describe whether Parch 2 was associated with four SibSp
but it will describe whether Parch was significantly associated with SibSp. This is computed by using Fishers method.
from hnet import hnet
# Load example
df = hnet.import_example('titanic')
# Association learning
hn.association_learning(df)
# Plot Network
hn.d3graph(summarize=True)
hn.plot(summarize=True)
# Plot heatmap
hn.d3heatmap(summarize=True)
hn.heatmap(summarize=True)
Comparing networks
Comparison of two networks based on two adjacency matrices. Both matrices should be of equal size and of type pandas DataFrame. The columns and rows between both matrices are matched if not ordered similarly.
Below is depicted a demonstration of comparing two networks that may have been the result of hnet
using different parameter settings:
import hnet
# Examine differences between models
[scores, adjmat] = hnet.compare_networks(adjmat1, adjmat2)
Black/White listing in plots
It is sometimes desired to remove variables from the plot to reduce complexity or to focus on specific associations.
Four methods of filtering are possible in hnet
black_list : Excluded nodes form the plot. The resulting plot will not contain this node(s).
white_list : Only included the listed nodes in the plot. The resulting plot will be limited to the specified node(s).
threshold : Associations (edges) are filtered based on the -log10(P) > threshold. threshold should range between 0 and maximum value of -log10(P).
min_edges : Nodes are only shown if it contains at least a minimum number of edges.
Black listing in plot
# In this example we will remove the node Age and SibSp.
# d3blocks
hn = hn.d3graph(black_list=['Age', 'SibSp'])
# Plot
hn = hn.plot(black_list=['Age', 'SibSp'])
# Heatmap
hn = hn.heatmap(black_list=['Age', 'SibSp'])
White listing in plot
# In this example we will keep only the node Survived and SibSp
# d3blocks
hn = hn.d3graph(white_list=['Survived', 'SibSp'])
# Plot
hn = hn.plot(white_list=['Survived', 'SibSp'])
# Heatmap
hn = hn.heatmap(white_list=['Survived', 'SibSp'])
White list example in plot
# In this example we will keep only the node Survived and Age
# d3blocks
hn = hn.d3graph(white_list=['Survived', 'Age', 'Pclass'])
# Plot
hn = hn.plot(white_list=['Survived', 'Age', 'Pclass'])
# Heatmap
hn = hn.heatmap(white_list=['Survived', 'Age', 'Pclass'])


Description: This service gives all available information about the authenticated user
Access: PROTECTED/api/user.info.json?access_token=your_personal_access_tokenResponse Output:
Description: This service gives the full name of the authenticated user
Access: PROTECTED/api/user.name.json?access_token=your_personal_access_tokenResponse Output:
Description: This service gives the login of the authenticated user
Access: PROTECTED/api/user.login.json?access_token=your_personal_access_tokenResponse Output:
Description: This service gives the email of the authenticated user
Access: PROTECTED/api/user.email.json?access_token=your_personal_access_tokenResponse Output:
Description: This service gives the firstname of the authenticated user
Access: PROTECTED/api/user.firstname.json?access_token=your_personal_access_tokenResponse Output:
Description: This service gives the lastname of the authenticated user
Access: PROTECTED/api/user.lastname.json?access_token=your_personal_access_tokenResponse Output:
Description: This service gives the groups of the authenticated user. This request can take several seconds as it needs to find group recursively !
Access: PROTECTED/api/user.groups.json?access_token=your_personal_access_tokenResponse Output:
Description: This service indicates if the authenticated user belongs to a specific group
Access: PROTECTED/api/user.belongs_to_group.json?group_name=cerberus_USERS&access_token=your_personal_access_tokenResponse Output:
Description: This service gives all available information about the authenticated user
Access: PROTECTED/api/user.all_info.json?access_token=your_personal_access_tokenResponse Output:
{"email": "cnorris@not-cerberus.com","name": "Chuck NORRIS","firstname": "Chuck","lastname": "Norris","country": "France","location": "City","description": "Dev. & Tools Environment","postalcode": "01111","office": "VB112","phone": "+33 1 2345 6789","created_at": "20121026141649.0Z","updated_at": "20130801061114.0Z","department": "R&D-CERBERUS","company": "cerberus sas","streetaddress": "cerberus adress","contract": "CDI"}
Description: This service gives all available information on a user specified in parameter
Access: FREE/api/users/cnorris.jsonResponse Output:
Description: This service indicates if a specified user belongs to a specific group
Access: FREE/api/users/cnorris/belongs_to_group.json?group_name=cerberus_USERSResponse Output:
Description: This service gives the groups of the authenticated user. This request can take several seconds as it needs to find group recursively !
Access: PROTECTED/api/user/groups.jsonResponse Output:
Description: This service returns the devserver name associated to a user
Access: FREE/api/users/cnorris/get_devserver.jsonResponse Output:
Description: This service gives all available information about the authenticated user
Access: PROTECTED/api/users/:name/all_info.jsonResponse Output:
{"email": "cnorris@not-cerberus.com","name": "Chuck NORRIS","firstname": "Chuck","lastname": "Norris","country": "France","location": "City","description": "Dev. & Tools Environment","postalcode": "01111","office": "VB112","phone": "+33 1 2345 6789","created_at": "20121026141649.0Z","updated_at": "20130801061114.0Z","department": "R&D-CERBERUS","company": "cerberus sas","streetaddress": "cerberus adress","contract": "CDI"}


{% extends "dash/dashboard_base.html" %}
{% block content %}
{{ api_key }}
Say you have the following schema:
{ "field_1": { "name": "temperature", "type": "numeric" }, "field_2": { "name": "pressure", "type": "numeric" }, "field_3": { "name": "gps", "type": "location" } }
Then you should make a POST HTTP request to the following endpoint:
POST http://<thingsIO.URL>/store/{{ api_key }}
Your request body will contain the following application/json entity:
{ "field_1": 123.4, "field_2": 443, "field_3": "60.123,40.567" }
Your request need not contain all the fields' values. You can selectively send specific fields. Location fields should be a "latitude,longitude" string.


This is a new service. If you need any help with using it, please call us on 131 880 between 8.30am and 4.30pm Monday to Friday
Important notes about booking your citizenship appointment
Please select the soonest available appointment that suits you.
Appointments run for approximately 2 hours.
You are required to schedule an appointment within 2 weeks of receiving this information.
You can reschedule your appointment up to 3 times and only 36hrs prior to your appointment. If you do not attend 2 appointments in total, a decision may be made on your application.
You must bring the following original documents
Evidence of when you first arrived in Australia and your present country of citizenship
Current and previous passport
OR
Travel document with visaE.g. Document for Travel to Australia (DFTTA), PLO56 (M56), Titre de Voyage
Evidence of your identity
Birth certificate, and
A document with your photo and signature, andE.g. Australian driver licence, National identity card or current passport
Proof of your current residential addressE.g. Utilities or bank notice, rental contract or rates notice
If you have included children in your application they are not required to attend this appointment. There are no childcare facilities so you will need to make alternative childcare arrangements for your children.
Translating your documents
If documents are not in English, you will also need to provide a translation with the original document.
If you are in Australia when applying, use translators accredited by the National Accreditation Authority of Translators and Interpreters (NAATI). For more information see www.naati.com.au.
If you are outside Australia when applying, the English translation must be completed by a qualified translator and must be endorsed by the translator with their full name, address, telephone number, and details of their qualifications and experience in the language being translated. Contact the Australian diplomatic mission in the country that issued the documents for advice on acceptable translators and who can certify your original documents.
How to prepare for the test
You will then have 45 minutes to complete the test which consists of 20 multiple choice questions. Australian Citizenship: Our Common Bond is available in 37 languages and has all the information you need to help you pass the citizenship test.
It is important that you tell us about any changes to your circumstances including your name, contact details, address or children included on this application as soon as possible. Use Form 929 Change of address and/or passport details


| Year | Team | Status | Finish | W-L | PPG | PAPG | Margin | TU/G | N/G | BHrd | BPts | PPB |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | Stanford B | UG | 9 | 12-10 | 170.0 | 201.1 | -31.1 | 7.95 | 1.91 | 175 | 2200 | 12.57 |
| 2016 | Stanford B | 17 | 9-8 | 209.1 | 194.1 | 15.0 | 9.00 | 1.29 | 153 | 2135 | 13.95 | |
| 2019 | Stanford B | D2 | 45 | 2-12 | 88.6 | 200.4 | -111.8 | 5.21 | 2.43 | 73 | 680 | 9.32 |
ACF Nationals 2015
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 1 (Prelims) | Stanford B | Penn A | Loss | 70 - 425 | 4 | 2 | 10.00 | MIT A + Alberta |
| 2015 | 2 (Prelims) | Stanford B | Ottawa | Win | 165 - 145 | 7 | 1 | 14.29 | Minnesota + Washington |
| 2015 | 3 (Prelims) | Stanford B | WUSTL | Win | 185 - 155 | 10 | 3 | 10.00 | Chicago A |
| 2015 | 4 (Prelims) | Stanford B | Carleton U | Win | 240 - 10 | 11 | 2 | 12.73 | Virginia and Yale |
| 2015 | 5 (Prelims) | Stanford B | Chicago C | Win | 290 - 60 | 12 | 4 | 15.83 | Rice + Illinois + W+M |
| 2015 | 6 (Prelims) | Stanford B | NYU | Win | 255 - 175 | 11 | 1 | 13.64 | Michigan + Toronto |
| 2015 | 8 (Prelims) | Stanford B | Kenyon | Win | 225 - 100 | 11 | 1 | 10.91 | Maryland + NYU |
| 2015 | 9 (Prelims) | Stanford B | UCSD A | Loss | 110 - 335 | 6 | 0 | 8.33 | McGill + WUSTL |
| 2015 | 10 (Prelims) | Stanford B | Berkeley B | Win | 250 - 110 | 9 | 2 | 18.89 | Stanford A |
| 2015 | 11 (Prelims) | Stanford B | Detroit Catholic Central | Win | 255 - 85 | 11 | 3 | 14.55 | Ottawa + Harvard |
| 2015 | 12 (Prelims) | Stanford B | VCU A | Win | 180 - 45 | 8 | 4 | 15.00 | UCSD A |
| 2015 | 14 (Playoffs) | Stanford B | Chicago A | Loss | 135 - 270 | 6 | 1 | 13.33 | Editors 1 |
| 2015 | 15 (Playoffs) | Stanford B | Virginia A | Loss | 75 - 435 | 4 | 3 | 12.50 | Editors 2 |
| 2015 | 16 (Playoffs) | Stanford B | Maryland A | Loss | 60 - 425 | 4 | 4 | 10.00 | Editors 3 |
| 2015 | 17 (Playoffs) | Stanford B | Illinois A | Win | 275 - 100 | 12 | 3 | 14.17 | Dartmouth |
| 2015 | 18 (Playoffs) | Stanford B | Columbia A | Loss | 110 - 165 | 6 | 2 | 10.00 | Editors 4 |
| 2015 | 19 (Playoffs) | Stanford B | Minnesota A | Loss | 135 - 215 | 6 | 1 | 13.33 | Editors 5 |
| 2015 | 20 (Playoffs) | Stanford B | Stanford A | Loss | 160 - 260 | 7 | 2 | 14.29 | Penn B + Penn C + Kenyon |
| 2015 | 21 (Playoffs) | Stanford B | Michigan A | Loss | 100 - 370 | 5 | 0 | 10.00 | VCU and Berkeley |
| 2015 | 22 (Playoffs) | Stanford B | MIT A | Win | 135 - 125 | 8 | 1 | 7.50 | Editors 6 |
| 2015 | 23 (UG Finals) | Stanford B | Illinois A | Loss | 150 - 305 | 7 | 0 | 11.43 | Editors 7 |
| 2015 | 25 (UG Finals) | Stanford B | Illinois A | Win | 180 - 110 | 10 | 2 | 9.00 | Finals 2 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2015 | Stanford B | James Bradbury | 22 | 52 | 12 | 460 | 20.91 |
| 2015 | Stanford B | Nathan Weiser | 22 | 51 | 13 | 445 | 20.23 |
| 2015 | Stanford B | Alex Freed | 22 | 37 | 6 | 340 | 15.45 |
| 2015 | Stanford B | Tabitha Walker | 22 | 35 | 11 | 295 | 13.41 |
ACF Nationals 2016
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 1 (Prelims) | Stanford B | Berkeley B | Win | 165 - 130 | 8 | 1 | 11.25 | Georgia Tech |
| 2016 | 2 (Prelims) | Stanford B | Princeton | Win | 330 - 40 | 12 | 0 | 17.50 | Michigan B + Chicago C + Illinois |
| 2016 | 4 (Prelims) | Stanford B | Oxford A | Loss | 185 - 300 | 7 | 1 | 17.14 | Stanford A + Louisville |
| 2016 | 5 (Prelims) | Stanford B | MIT A | Loss | 210 - 300 | 9 | 0 | 13.33 | Maryland A + McGill |
| 2016 | 6 (Prelims) | Stanford B | Dartmouth A | Loss | 155 - 350 | 7 | 3 | 14.29 | WUSTL + Virginia |
| 2016 | 7 (Prelims) | Stanford B | McGill | Win | 255 - 70 | 11 | 1 | 13.64 | Dartmouth + Chicago B |
| 2016 | 8 (Prelims) | Stanford B | Duke | Win | 240 - 160 | 10 | 1 | 14.50 | Columbia A + Columbia B |
| 2016 | 9 (Prelims) | Stanford B | Yale B | Loss | 170 - 215 | 9 | 2 | 10.00 | MIT A |
| 2016 | 10 (Prelims) | Stanford B | Chicago A | Loss | 170 - 420 | 7 | 0 | 14.29 | Michigan A |
| 2016 | 11 (Prelims) | Stanford B | McMaster A | Win | 150 - 50 | 7 | 2 | 12.86 | Berkeley A |
| 2016 | 12 (Tiebreaker) | Stanford B | McGill | Win | 305 - 170 | 12 | 1 | 15.83 | Chicago A |
| 2016 | 13 (Playoffs) | Stanford B | Columbia B | Loss | 200 - 215 | 8 | 2 | 16.25 | Editors 1 |
| 2016 | 14 (Playoffs) | Stanford B | Virginia A | Win | 190 - 135 | 10 | 4 | 11.00 | Editors 2 |
| 2016 | 15 (Playoffs) | Stanford B | WUSTL | Loss | 170 - 240 | 8 | 0 | 11.25 | VCU + Virginia + Oxford |
| 2016 | 16 (Playoffs) | Stanford B | Oklahoma | Win | 240 - 180 | 10 | 2 | 15.00 | Editors 3 |
| 2016 | 17 (Playoffs) | Stanford B | Chicago C | Loss | 160 - 200 | 8 | 0 | 10.00 | Editors 4 |
| 2016 | 18 (Playoffs) | Stanford B | MIT B | Win | 260 - 125 | 10 | 2 | 17.00 | Editors 5 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2016 | Stanford B | Nathan Weiser | 17 | 58 | 8 | 540 | 31.76 |
| 2016 | Stanford B | Alex Freed | 17 | 41 | 3 | 395 | 23.24 |
| 2016 | Stanford B | Kyle Sutherlin | 17 | 29 | 6 | 260 | 15.29 |
| 2016 | Stanford B | James Bradbury | 17 | 25 | 5 | 225 | 13.24 |
ACF Nationals 2019
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 2 (Prelims) | Stanford B | New College of Florida | Loss | 80 - 145 | 4 | 2 | 12.50 | UVA + Rutgers + Chicago B |
| 2019 | 3 (Prelims) | Stanford B | Minnesota B | Loss | 95 - 130 | 5 | 1 | 10.00 | McGill + UCLA + Oxford |
| 2019 | 4 (Prelims) | Stanford B | Chicago A | Loss | 25 - 435 | 3 | 1 | 0.00 | Berkeley A + Ohio St |
| 2019 | 5 (Prelims) | Stanford B | WUSTL | Loss | 110 - 265 | 6 | 2 | 10.00 | Chicago A + Penn St |
| 2019 | 6 (Prelims) | Stanford B | Delaware | Loss | 60 - 275 | 3 | 2 | 13.33 | Minn A + Harvard A + B |
| 2019 | 7 (Prelims) | Stanford B | McGill | Loss | 120 - 285 | 6 | 0 | 10.00 | Florida A + Michigan St |
| 2019 | 8 (Prelims) | Stanford B | Amherst | Loss | 15 - 370 | 3 | 7 | 6.67 | Illinois A + Wright St |
| 2019 | 10 (Playoffs) | Stanford B | Central Florida | Loss | 105 - 155 | 5 | 1 | 12.00 | Editors 1 |
| 2019 | 11 (Playoffs) | Stanford B | Wright State | Loss | 70 - 130 | 5 | 4 | 8.00 | Editors 2 |
| 2019 | 12 (Playoffs) | Stanford B | Carnegie Mellon | Loss | 95 - 210 | 6 | 5 | 10.00 | Editors 3 |
| 2019 | 13 (Playoffs) | Stanford B | Iowa | Loss | 70 - 165 | 4 | 2 | 10.00 | Editors 4 |
| 2019 | 15 (Superplayoffs) | Stanford B | Auburn | Win | 160 - 65 | 10 | 2 | 7.00 | Editors 6 |
| 2019 | 16 (Superplayoffs) | Stanford B | Caltech A | Win | 145 - 45 | 7 | 3 | 12.86 | Editors 7 |
| 2019 | 17 (Superplayoffs) | Stanford B | Oklahoma | Loss | 90 - 130 | 6 | 2 | 6.67 | Editors 8 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2019 | Stanford B | Abeer Dahiya | 14 | 35 | 25 | 225 | 16.07 |
| 2019 | Stanford B | Alex Donovan | 14 | 14 | 0 | 140 | 10.00 |
| 2019 | Stanford B | Benji Reade Malagueno | 14 | 13 | 3 | 115 | 8.21 |
| 2019 | Stanford B | Mary Markley | 14 | 11 | 6 | 80 | 5.71 |


If you know how to program in Java, you may write your own
Executors,
Motif
classes,
Brooms and
ChainProcessors and
drop them (as .class
files) into the
'plugins' directory.
If you are seriously interested in this, we can provide API
documentation and source
examples.


See All Survivors
Click to highlight the position
Search survivor or building from the displayed list (press enter to search)
Marked Map
Blank Map
Totals Among All Survivors
Details about resource or conditions (click on it on the table)


Basic Example Wrap any text and an optional dismiss button in '.alert' and one of the four contextual classes (e.g., .alert-success) for basic alert messages.
Well done! You successfully read this important alert message.
Heads up! This alert needs your attention, but it's not super important.
Warning! Better check yourself, you're not looking too good.
Oh snap! Change a few things up and try submitting again.
Dismissible Alerts Build on any alert by adding an optional '.alert-dismissible' and close button.
Well done! You successfully read this important alert message.
Heads up! This alert needs your attention, but it's not super important.
Warning! Better check yourself, you're not looking too good.
Oh snap! Change a few things up and try submitting again.
Links in alerts Use the '.alert-link' utility class to quickly provide matching colored links within any alert.


Shahid Kapoor to head to Chandigarh to shoot for Jersey
by Akash NihalaniShahid Kapoor last release Kabir Singh, which was a remake of South hit Arjun Reddy went on to become one of the biggest hits of 2019. And now, the actor will be seen in another remake of a South film titled Jersey. Shahid will be playing the role of a cricketer in the film and has already begun with brushing up his cricket skills by spending time on the nets.
As per a report in a leading daily, the actor will soon be heading to Chandigarh to shoot for the film. He’ll be shooting in Chandigarh from December 2 to December 30 after a month-long schedule. Reportedly set in the ’90s, the film will showcase the high and lows of this struggling cricketer. A source close to the project had this to say, “After prepping for almost two months on turf in suburban Mumbai, Shahid will start shooting from December 2. The month-long schedule stretches right up to December 30. After that, the team will take a break for around four-five days for the second schedule. The Jersey team will be moving in and out of Chandigarh a lot in the coming months. They will shoot at real locations, including a beautiful row house in the heart of the city which will be shown as Shahid’s house.”
Recently, the makers announced that they’ve signed Mrunal Thakur to star opposite Shahid in the film. Jersey is slated to release on August 28, 2020.


Wallet
This wallet is for TESTING ONLY. Please DO NOT import mainnet private keys.

1. Generate new account
Private key:
Account address:
After generation, you could go to Profile tab to change account settings.


Drilling association predicts number of rigs working in Western Canada will drop in 2020
by Kevin Green, Video JournalistCALGARY — The Canadian Association of Oilwell Drilling Contractors (CAODC) predicts the number of rigs working in Western Canada will drop by 48 next year, from the current level of 545 to 497.
Despite that, the number of wells drilled will increase by eight in 2020 and the number of drilling days will also go up, by 88, to 46,599, according to the CAODC’s 2020 drilling forecast.
The group also says the total number of jobs will remain unchanged from 2019 levels at 22,313, but points out that remains a loss of close to 14,000 (13,731) from 2018.
The CAODC says since 2017, an estimated $30 billion in foreign capital has vanished from the Western Canadian oil patch.
It says its members have moved 29 high-spec drilling rigs, several service rigs, and the associated personnel to the United States in order to find work.
It blames regulatory holdups like Bill C-48 and Bill C-69, and pipeline delays, citing delays to Enbridge’s Line 3 and the Trans Mountain Pipeline expansion for many of the problems.
The COADC says the results of the federal election in October have pushed the sentiment toward Canadian oil and gas to near all-time lows.
“It has been another extremely difficult year for our members,” says CAODC president and CEO, Mark Scholz.
“The attacks from foreign-funded, radical environmental groups and punitive policy measures from our own federal government have caused Canadian oil and gas families to suffer unnecessarily.”
Scholz says the oil and gas industry is suffering an existential crisis.
“It would appear the only place Canada’s exceptional reputation for technologically-driven environmental best practices isn’t recognized is in Ottawa,” explains Scholz.
“If we do not create an environment where the oil and gas industry can compete internationally, we won’t have an industry left in this country.”
In a press release Wednesday the group lays out it’s four key demands for the federal government, which it says are required to stabilize and restore confidence in the industry.
Those include:
- Accept Alberta’s climate plan as a federal equivalent program
- Repeal Bills C-48 and Bill C-69
- Guarantee the completion of the Trans Mountain Pipeline expansion project using all available tools and resources
- Include and prioritize the responsible development and export of Canadian oil and gas as an effective and timely means of reducing global greenhouse gas emissions


POST COITUM
A Film Review by James Berardinelli
RATING: ** OUT OF ****
France, 1997 U.S. Release Date: beginning 3/98 (limited) Running Length: 1:37 MPAA Classification: No MPAA Rating (Graphic sexuality, nudity, profanity) Theatrical Aspect Ratio: 1.85:1
Cast: Brigitte RoŘan, Boris Terral, Patrick Chesnais, Jean-Louis Richard, Nils Tavernier, Franšoise Arnoul Director: Brigitte RoŘan Producer: Humbert Balsan Screenplay: Santiago Amigorena, Jean-Louis Richard, Brigitte RoŘan, Guy Zylberstein Cinematography: Pierre Dupouey Music: Michel Musseau, Umberto Tozzi U.S. Distributor: New Yorker Films In French with subtitles
One of the great things about movies is the depth of emotion they are capable of conveying. In THE SWEET HEREAFTER, we feel the wrenching loss of a town stripped of its children. In BLUE, we suffer alongside a woman on a quest to assuage her grief. In UN COEUR EN HIVER and THE REMAINS OF THE DAY, we are suffused by the frustration that comes from emotional paralysis. As unforgettable as these and countless other films are, there's a flip-side to this kind of power, and it's most evident when a picture tries unsuccessfully to tap into our emotions. POST COITUM (the full title, truncated for American release, is POST COITUM, ANIMAL TRISTE, or, literally translated, AFTER SEX, ANIMAL SADNESS) is such a movie -- weak, superficial, and unconvincing, it turns what could have been a searing experience into a trite, overwrought melodrama.
The problems begin at the outset, with a quartet of scenes seemingly designed to baffle even the most astute viewer. The first is of a cat meowing and sensuously stretching as it rolls across a floor. Then we see a half-naked woman, who turns out to be protagonist Diane Clovier (Brigitte Rouan), writhing in agony on her bed. Cut to an elderly couple preparing to eat dinner -- suddenly, the woman, Madame Lepluche (Francoise Arnoul), stabs her husband in the throat with a fork, killing him. Next, Diane, no longer in the throes of emotional turmoil, but in complete possession of herself and dressed smartly, enters a darkened apartment and proceeds to wake up a man named Francois (Nils Tavernier), his girlfriend, and his room mate, Emilio (Boris Terral).
Eventually, it becomes clear what's going on. The bulk of the movie, which centers on the May-December affair between the young, virile Emilio (a twenty-something hydraulic engineer), and the mature, married Diane (a forty-something book publisher), is presented in flashback from the perspective of the woman, who is unable to cope with the end of this relationship.  These disparate plot elements, which begin widely-separated in time, tone, and intent, eventually converge as the film moves through a sometimes-tedious final half-hour towards an awkward conclusion.
Director Brigitte Rouan, who also plays the lead role, fails in two key areas: she never creates believable, three-dimensional characters and she doesn't delve sufficiently deeply beneath the surface of a shallow plot. We are supposed to feel Diane's joy and exuberance at re- discovering her lost youth and sexuality when the affair begins, then join her on a descent into near-madness and alcoholism after Emilio dumps her. Unfortunately, Diane isn't a credible character -- she is sketchily developed, and this led to a profound lack of interest on my part about her fate once she switched into the self-destructive mode. Approached differently, this story could have been devastating, but Rouan elects to keep everything surface-deep rather than exploring the murky wellspring of emotional pain that drives Diane. As a result, instead of reaching into the territory inhabited by the likes of LEAVING LAS VEGAS, POST COITUM comes across as nothing more compelling than a 97-minute soap opera. It's heavy-handed, obvious, and not the least bit moving.
The acting can best be described as uneven. Rouan gives a raw, courageous performance, showing Diane in modes that range from unchecked lust to rampant self-pity, but the strength of the actress' passion does not guarantee consistently effective work, and she has a tendency to go over-the-top (especially in those awful scenes that bookend and punctuate the flashbacks). As Emilio, Boris Terral is bland. Aside from his good looks, he doesn't bring much to the part -- it's difficult to see this character as anything more than a function of the plot. Rouan needs someone for Diane to have the fling with, but she never develops him into something more substantial than a generic younger lover. More impressive than the two leads are the primary supporting characters. Patrick Chesnais creates the film's only sympathetic and original individual -- as Diane's husband, he's torn between anger at his wife's betrayal, jealousy that she comes alive for another man, and impotence that he can do nothing to assuage the consuming pain she feels when her lover leaves her. Finally, as Francois, the writer who relies upon Diane for his artistic inspiration, Nils Tavernier gives a solid performance in an underwritten part.
Rouan's intentions are obvious -- she wanted this film to be an autopsy of both sides of an unexpected, all-consuming passion: exhilaration and devastation. However, the script betrays her, and POST COITUM wallows in half-baked melodrama with a character who seems to be hugely overreacting to the end of a short affair (it's Rouan's duty to convey why Diane's collapse is well-motivated, but she never does this - - instead, she relies on the real-life experiences of her viewers to fill in the blanks). POST COITUM almost seems like some kind of cinematic shorthand for a more ambitious project. We see what Rouan is striving for, but, at the same time, recognize that she hasn't achieved it. So, like all shorthand, this has more meaning to the author than to anyone else.
Copyright 1998 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1400 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"My belief is that no movie, nothing in life, leaves people neutral.
-- David Puttnam
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- title: Esri GitHub | Open Source and Example Projects from the Esri Developer Platform description: We are excited to bring the idea of social coding to Esri. Browse and search flexible applications, frameworks, and extensions built with our powerful developer platform. css: - https://cdnjs.cloudflare.com/ajax/libs/chosen/1.7.0/chosen.min - home --- {% from "layouts/_macros.html" import projectsSection %} {% from "layouts/_macros.html" import topicOptions %}


All data and code can be accessed in IndoLEM Github Account 😊
♦ Morpho-syntax and Sequence Labelling
We use the Indonesian POS tagging of Dinakaramani et al. (2014), and 5-fold partitioning of Kurniawan and Aji (2018). Train/Dev/Test distribution is 7,222/802/2,006.
♦ Semantic Task
This dataset is based on binary classification (positive and negative), with distribution:
The data is sourced from 1) Twitter (Koto and Rahmaningtyas, 2017) and 2) hotel reviews.
♦ Discourse Coherence
To evaluate model coherence, we design a next tweet prediction (NTP) task that is similar to the next sentence prediction (NSP) task used to train BERT (Devlin et al., 2019). In NTP, each instance consists of a Twitter thread (2–4 tweets) that we call the premise, and four possible options for the next tweet, one of which is the actual response from the original thread.
This task is based on the sentence ordering task of Barzilay and Lapata (2008) to assess text relatedness. We construct the data by shuffling Twitter threads (containing 3–5 tweets), and assessing the predicted ordering in terms of rank correlation (ρ) with the original.


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Ice
Melting:
Ice:
Buyable Ice:
Ice melts at a rate of .1% per tick and becomes .
You can buy up to the max at a time, and it comes back at per tick.
You can buy up to the max at a time, and it comes back at per tick.
Storage
Receiving:
Overflowing:
:
Selling:
Profits:
Max:
When is at max, extra water spills into the lake.
Sells 1% of max per tick. Sells for $2 per 1.
Sells 1% of max per tick. Sells for $2 per 1.
Lake
Receiving from Storage:
Receiving from Forest:
Receiving from Farm:
Evaporating:
:
Lake evaporates .1% per tick into cloud water.
Clouds
Receiving:
Raining:
:
Intensity:
Lightning Chance:
%
Rain falls on land, but only when storming.
Rain falls at a rate of (water / 500) * intensity.
Rain falls at a rate of (water / 500) * intensity.
Chance for a lightning strike per tick.
Only strikes with a full storm.
Strength of strike is sqrt(Water).
Only strikes with a full storm.
Strength of strike is sqrt(Water).
Lightning Strength:
Land
Receiving:
Dry Land to Soil:
Flowing to Forest:
Flowing to Farm:
:
Total Land:
Soil:
Base Land:
Dry Land:
Dry land + water = soil, at a rate of (water / 1000)
.1% goes to forest, another .1% to farms.
Forest
Receiving:
to grow Ferns:
to grow Small Trees:
to grow Trees:
Flowing to Lake:
:
Ferns
.1% of Ferns become Small Trees, using Water.
One Fern makes .001 oxygen/tick
Ferns Delta:
.1% of Ferns become Small Trees, using Water.
One Fern makes .001 oxygen/tick
Small Trees
.1% of Small Trees become Trees, using Water.
One Small Tree makes .003 oxygen/tick
Small Trees Delta:
.1% of Small Trees become Trees, using Water.
One Small Tree makes .003 oxygen/tick
Trees
One Tree makes .01 oxygen/tick
Trees Delta:
One Tree makes .01 oxygen/tick
Total Plants:
Oxygen Produced:
Total Plants equilibrium is equal to Soil amount.
Plants each take 1 water to grow.
If you have less equilibrium, smaller plants die first.
Ferns grow slower the closer the Total Plants are to equilibrium.
.1% of Water per tick goes back to the Lake.
Plants each take 1 water to grow.
If you have less equilibrium, smaller plants die first.
Ferns grow slower the closer the Total Plants are to equilibrium.
.1% of Water per tick goes back to the Lake.
Farm
Food Eaten:
Receiving:
Water to Food:
Flowing to Lake:
:
Farms:
Food:
WARNING: using soil reduces trees.
One farm makes .01 food/tick, using water.
.1% of water per tick goes back to the lake.
Farm Efficiency: %
City
Food Eaten:
Population Growth:
Dying from Starvation:
Base Happiness From House:
Happiness From Trees:
Happiness From Oxygen:
Population:
Happiness:
Science created:
Cash created:
One person eats .01 food / tick.
People die faster if there is 0 food.
People work harder if they are happier.
Choose whether people create science or cash.
People die faster if there is 0 food.
People work harder if they are happier.
Choose whether people create science or cash.
Computer
Build Computer (1000 science)
Robots
Special deal! Buy first robot for $3000
Buy robot for $1m
Free: , Total: , Max:
Ore:
Power Plant
Build lightning rod for 500 metal
Energy:
Battery:
Loses 2% of energy past the battery per tick
Draining:
Space Station
Build Space Station for 2000 metal, 20k wood
You have
in orbit.Sending
to the planet.
Sends .01% of orbiting resources to the planet.
Dirt gets added to base land.
Dirt gets added to base land.
Tractor Beam
Build Tractor Beam for 5m oxygen, 500k science
Energy: out of
Charges using 1% energy from Power Plant per tick.
Pulls 1%+10 of passing debris into orbit when charged
2/3rd chance to find new comet per tick.
1/3rd chance to find new asteroid per tick.
Brought into orbit last charge
Pulls 1%+10 of passing debris into orbit when charged
2/3rd chance to find new comet per tick.
1/3rd chance to find new asteroid per tick.
Brought into orbit last charge
Space Dock
Battleships:
Energy:
Battery:
Hangar 1
Sending
Takes 5% of your current food. The more food a ship takes the longer it lasts
When a ship is out of food it comes back to base.
Adjust where ships spawn - they'll target the nearest planet.
Ships destroy atmosphere, destroy health, and build buidings before moving on.
The buildings add dirt directly to your space station.
WARNING - there is no saving for battleships in flight or the state of planets. You can refresh for a new set of planets for now. Working on it ...
When a ship is out of food it comes back to base.
Adjust where ships spawn - they'll target the nearest planet.
Ships destroy atmosphere, destroy health, and build buidings before moving on.
The buildings add dirt directly to your space station.
WARNING - there is no saving for battleships in flight or the state of planets. You can refresh for a new set of planets for now. Working on it ...


--- layout: page title: About permalink: /about/ ---
We challenge teams of 16 to 18 year-olds to design, build and develop autonomous robots to compete in our annual competition. After announcing the year's game, we give teams six months to engineer their creations. We mentor teams throughout this time, as well as supply them with a kit which provides a framework they can build their robot around. Thanks to our sponsors, we provide this all for free to our teams.
30+
Schools
100+
Volunteers
500+
Students
As a community of engineers and educators, we are entirely focused on our mission. We measure our effectiveness on the experience we provide to students, and the number of students we can reach, and we want every penny that we receive to go into improving the experience for our competitors and volunteers. That's why we're a fully registered charity in England and Wales.


Afterwood
I was recently watching an episode of Marvel’s Agents of S.H.I.E.L.D with my youngest before his bedtime. In the episode they had travelled back in time to 1940’s America and were changing into clothes considered more appropriate for the times, to blend in. After they all got changed and met back up again one character remarked to the other “nice threads!” In this instance they were referring to another person’s clothes, but it got me thinking that nobody has ever said that to me, which, given my weak fashion skills is not surprising, but more topically for this publication, it’s not a phrase I’ve ever heard somebody remark about another person’s code either. Given the problems that all too often arise from the introduction of additional threads into a program it’s far more likely that you’ll be chastised for your threads rather than commended for them.
The late Rusel Winder was a programmer who was no stranger to problems involving concurrency and had the good fortune to work with some serious parallel hardware when some of use were still all gooey eyed over the second CPU in our desktop machine. I’m pretty sure Russel would never congratulate anyone on their choice of threads as he was a big proponent of solving concurrency problems by using higher-level concepts. Like so much in the world of Computer Science many of the techniques for managing concurrency have been around for decades and Russel was always keen to promote the Actor Model, Communicating Sequential Processes (CSP), etc. in his talks and writings. I never really grokked either of these until Russel published his Introduction to GPars in C Vu 22(6) back in 2011. I’ve still never written a line of Groovy or done anything significant on the JVM but this article provided the clarity I needed to start seeing how these ideas were realized in a modern language.
If you grew up in the UK during the 1980’s you might already have an aversion to threads due to the BBC’s film of the same name which depicted the state of Britain after a nuclear war. I was slightly too young to watch it first time around, although like any teenager that didn’t stop me trying to because apparently there were “other kids” in our school who had allegedly watched it. Despite the grown-ups slapping a 15 certificate on it to advise us youngsters against being foolish and dabbling in issues we were emotionally under equipped to deal with we jumped right in anyway and regretted it later. Why do we never listen to our elders? As the old joke goes “some programmers, when confronted with a problem, think ‘I’ll use threads’, now problems two have they.”
I once interviewed someone for a highly technical role and casually asked them how they felt about lock-free programming. They simply replied, “I’ll give anything a go.” While I admire their positive outlook on life this was not really the response I was expecting. Anthony Williams’ book on concurrency with C++ weighs in at six hundred pages and Joe Duffy’s concurrency book for Windows hits nine hundred. What this tells me is that it isn’t something you can “dabble in”, it feels more like a career in its own right.
Debugging multi-threaded programs is always an interesting prospect, especially trying to single step through functions which are executing similar workloads on different threads. It reminds me of my first foray into the Usenet way back at university before the common availability of “threaded newsreaders”. Contrary to what you might be thinking these weren’t programs which used multiple threads to achieve better UI responsiveness (we’re talking Unix terminals here), this was about stitching together a continuous stream of forum posts on different topics so that you could focus on one conversation at a time instead of constantly context switching between subjects. Single stepping through a multi-threaded program is always a bit of a shot in the dark as you wonder how far you’ll get before you’re whisked away to another land. At least we eventually get to return to where we left off unlike poor old Sam Beckett in Quantum Leap. “Oh, boy!” indeed.
It wasn’t just late 80’s newsreaders though, this was also how Twitter felt in its early years. Fortunately, everything was largely unrelated anyway so there wasn’t really a context to be dragged away from and return to. The introduction of the 280 character limit in late 2017 was swiftly followed by the appearance of “threads” as Twitter tried to convince its users that brevity was no longer the soul of wit. Further correlation between social media platforms and concurrent programming are possible when you consider their problems with coherence and false sharing.
One career that seems to have died out since the C++ committee finally decided to come clean with C++11 and define a thread aware memory model is that of answering Stack Overflow questions about how to safely implement a Double-Checked Lock (DCL). The Internet was awash with solutions on how to safely acquire a Singleton (though, once again, you now have two problems) that turned out to be wrong. The dominance at the time of the Intel CPU meant that “works on my machine” was almost a statistically valid argument. A few people working on more advanced CPU architectures got bitten but the strong view taken by the incumbent x86 meant that many of us lived in ignorant bliss. When Herb Sutter declared to the world that the free lunch was over, he was talking about CPU single core performance, but he might as well have been talking about the rise of the ARM which has a weaker view on ordering and a stronger view on messing with your head. Java had its DCL crisis just after Y2K calmed down whereas .Net had another decade to go before its bubble finally burst, even the JVM & CLR are not immune it seems.
With the continued working from home and decline of the suit & tie in the workplace I suspect my chances for a fashion compliment have long since passed. As for the prospect of never having to deal with a threading issue again, all I can say is “promises, promises!”
Chris Oldwood
18 May 2022
Chris is a freelance programmer who started out as a bedroom
coder in the 80’s writing assembler on 8-bit micros. These days it's enterprise
grade technology in plush corporate offices from the comfort of his
breakfast bar. He has resumed commentating on the Godmanchester duck race but
continues to be easily distracted by messages to<EMAIL_ADDRESS>and
@chrisoldwood.


Cross the road!
Game Instructions
Player control:
- Arrow Left - move left
- Arrow Up- move up
- Arrow Down - move down
- Arrow Right - move right
Touch the water and win 1 point.
Pet a bug and lose 1 life.
Control on mobile devices.
Use the bottom arrows to drive the player.
Enjoy the game!
Click the Key to start.


BERT Classifier
Analytics Zoo provides a built-in BERTClassifier in TFPark for Natural Language Processing (NLP) classification tasks based on TFEstimator and BERT.
Bidirectional Encoder Representations from Transformers (BERT) is Google's state-of-the-art pre-trained NLP model. You may refer to here for more details.
BERTClassifier is a pre-built TFEstimator that takes the hidden state of the first token to do classification.
In this page, we show the general steps how to train and evaluate an BERTClassifier in a distributed fashion and use this estimator for distributed inference.
Remarks:
- You need to install tensorflow==1.15.0 on your driver node.
- Your operating system (OS) is required to be one of the following 64-bit systems: Ubuntu 16.04 or later, macOS 10.12.6 or later and Windows 7 or later.
- To run on other systems, you need to manually compile the TensorFlow source code. Instructions can be found here.
BERTClassifier Construction
You can easily construct an estimator for classification based on BERT using the following API.
from zoo.tfpark.text.estimator import BERTClassifier
estimator = BERTClassifier(num_classes, bert_config_file, init_checkpoint, optimizer=tf.train.AdamOptimizer(learning_rate), model_dir="/tmp/bert")
Data Preparation
BERT has three inputs of the same sequence length: input_ids, input_mask and token_type_ids.
The preprocessing steps should follow BERT's conventions. You may refer to BERT TensorFlow run_classifier example for more details.
To construct the input function for BERTClassifier, you can use the following API:
from zoo.tfpark.text.estimator import bert_input_fn
input_fn = bert_input_fn(rdd, max_seq_length, batch_size)
- For training and evaluation, each element in rdd should be a tuple: (feature dict, label). Label is supposed to be an integer.
- For prediction, each element in rdd should be a feature dict.
- The keys of feature dict should be
input_ids
,input_mask
andtoken_type_ids
and the values should be the corresponding preprocessed results of max_seq_length for a record.
Estimator Training
You can easily call train to train the BERTClassifier in a distributed fashion.
estimator.train(train_input_fn, steps)
You can find the trained checkpoints saved under model_dir
, which is specified when you initiate BERTClassifier.
Estimator Evaluation
You can easily call evaluate to evaluate the BERTClassifier in a distributed fashion using top1 accuracy.
result = estimator.evaluate(eval_input_fn, eval_methods=["acc"])
Estimator Inference
You can easily call predict to use the trained BERTClassifier for distributed inference.
predictions_rdd = estimator.predict(test_input_fn)


- getFeatureReport(byte[])
- Method in class com.codeminders.hidapi.HIDDevice
-
Get a Feature Report from a HID device.
- getIndexedString(int)
- Method in class com.codeminders.hidapi.HIDDevice
-
Get a string from a HID de.upday.tools.pushbutton.device, based on
its string index.
- getInstance()
- Static method in class com.codeminders.hidapi.HIDManager
-
- getInterface_number()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the USB interface which this logical
de.upday.tools.pushbutton.device
represents.
- getManufacturer_string()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the de.upday.tools.pushbutton.device manufacturer string.
- getManufacturerString()
- Method in class com.codeminders.hidapi.HIDDevice
-
Get The Manufacturer String from a HID device.
- getPath()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the platform-specific de.upday.tools.pushbutton.device path.
- getProduct_id()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the de.upday.tools.pushbutton.device USB product ID.
- getProduct_string()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the de.upday.tools.pushbutton.device product string
- getProductString()
- Method in class com.codeminders.hidapi.HIDDevice
-
Get The Product String from a HID device.
- getRelease_number()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the de.upday.tools.pushbutton.device release number in
binary-coded decimal,
also known as de.upday.tools.pushbutton.device version number.
- getSerial_number()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the de.upday.tools.pushbutton.device serial number.
- getSerialNumberString()
- Method in class com.codeminders.hidapi.HIDDevice
-
Get The Serial Number String from a HID device.
- getUsage()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the de.upday.tools.pushbutton.device usage (Windows/Mac only).
- getUsage_page()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the de.upday.tools.pushbutton.device usage page (Windows/Mac
only).
- getVendor_id()
- Method in class com.codeminders.hidapi.HIDDeviceInfo
-
Get the de.upday.tools.pushbutton.device USB vendor ID.


DevOps
Home
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Green Deployment
This is my Capstone project for Udacity's Cloud DevOps Nanodegree!
Learn more
Have a great day!


Career Profile
To develop my professional activities with responsibility, thus contributing to the growth of the company, communicative, ease in assimilating tasks and willing to experience new challenges and experiences.
Experiences
T.I routines, servers and service routes, maintenance on the ZABBIX monitoring system, linux server administration and virtualization, ZIMBRA email administration, scripting (Shell Script)
- XenServer
- ZABBIX
- Pentaho (B.I)
- NOC
- ZIMBRA
- Docker
Projects
Area of Interest and Knowledge: - Desktop and Mobile Development - Linux Administration - Server Architecture - Zabbix - Connectivity - Business Intelligence - Open Source Software. Some projects implemented.
Velocimentro
- A responsive website template designed to help users test bandwidth speed.
SysIntra
- A responsive website template designed for a company's legacy system. CRUD operations and asset reporting.
Zimbra
- Responsible for the migration and division of e-mail servers, from several clients.
GLPI
- Implementation and integration of a helpdesk tool, including control and integration with ZABBIX, inventory and Knowledge Base in a support team.
Pentaho
- Implementation of an open source business intelligence tool, data collection and creation of reports and dashboard for presentation on TV's.
Portainer| Rancher
- Implementation of a container management tool, aiming the optimization of resources and expansion of services.
Rundeck
- Deployment of management tool and automation of tasks and scripts.


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Honors
Research
2018.05 - 2018.08: Paramekanti Group, University of Toronto
Worked on a study of magnetoelectric effects induced by spontaneous symmetry breaking in strongly correlated materials (arXiv:1904.04280).
- Participated in the development of the research question.
- Developed code to calculate the kinetic magnetoelectric response of a crystal.
- Applied the code to a specific model exhibiting the effect in question.
- Interpreted the features of numerical results using analytical calculations and symmetry considerations.
2017.09 - 2019.04: Steinberg Lab, University of Toronto
Worked in the Bose-Einstein Condensate group to build and test a 405nm interference-filter based external cavity diode laser (ECDL).
- Showed that the ECDL can stably maintain single-mode operation.
- Characterized ECDL frequency and power dependence on temperature, external cavity length, and interference filter angle.
- Modified the design to improve the tolerance on the machined components.
2017.05 - 2017.08: Netterfield Lab, University of Toronto
Involved in preparing the baloon-borne telescope SuperBIT for a test flight at the Columbia Scientific Baloon Facility in Palestine, Texas. Also took part in the data analysis of teh SPIDER collaboration.- Helped with assembling SuperBIT and testing the optics at the launch facility
- Built mock solar panels to test for effects of added weight on SuperBIT's stability
- Searched for an elusive noise pattern that appeared in the SPIDER data by curve-fitting and correlating the data with known examples of the noise
- Successfully identified almost 200 instances of the noie that were previously missed


Add Option
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Generate odds
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Odds of occurance
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Results
Combination
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Net


1 Minutes ago
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Just a reminder that you have an event today
Update dashboard
New admin wow!
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Death of man found in Ballymun a ‘personal tragedy’
The body was found in a container on Balbutcher Lane on Monday morning
by Conor GallagherGardaí are treating the death of a man whose body was found in a container in Ballymun, Dublin as a “personal tragedy”.
The remains of the man in his 40s have been taken to the Dublin City Morgue where a postmortem examination will be carried out on Tuesday.
The body was found in a container on Balbutcher Lane in Ballymun at about 10.50am on Monday.
In a statement the Garda Press Office said: “Pending the outcome of the postmortem, An Garda Síochána are treating this case as a personal tragedy at this time. “


A complete blog website made from scratch. It has the option for user registration. The user can submit their post. An admin panel is also designed to edit/approve any post.It also has the option for comment approval. The post used in the website is just random post used for testing purpose.m
For building this website I used XAMPP 3.2.1 earlier version with PHP 5.6. Latest version of XAMPP with latest version of PHP support only mysqli where I used mysql. In case of latest version of XAMPP and PHP, the PHP code will be unchanged with a little change in mysql command. If you need this version of xamp just let me know<EMAIL_ADDRESS>1. Clone the repository and install the above mentioned version of XAMPP.
2. Copy and paste the repository in xamp location.
3. Start XAMPP, start apache and MySQL. Then, go to your browser and type localhost/phpmyadmin.
4. Then in left panel click new. Name the database phpcms and create the database.
5. Click the import tab and upload phpcms file from Database folder.
6. Go to browser and type localhost/your folder name.
1. This page has a form for the user to send a mail.
2. Open the contactus.php file in a text editor. Go to line no. 14(receiver mail) and 15(sender mail)*. Give your desired mail id.
3. Here, the sender mail id will be the id used in local server set up
4. Customize the page by customizing 95, 96 and 97 no line with your address, phone number and email address.
*The sender and receiver mail can be same
1.In case of signup and forget password, the system needs to send an email.
2.Open signup.php. Go to line no. 37 and give your mail id.
3.Similarly, open recover.php. Go to line no. 25 and give your mail id.
1. Launch XAMPP and start Apache and MySQL.
2. Go to browser and type localhost/yourfilename
3. Select admin from your navigation bar.
4. Username: admin and password:admin.
Front-End: HTML, CSS, BOOTSTRAP and JAVASCRIPT
Back-End: PHP, MySQL
This project is licensed under the MIT License - see the LICENSE file for details


Easy Balance
Check balance of multiple bitcoin addresses
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A great About Us page helps builds trust between you and your customers. The more content you provide about you and your business, the more confident people will be when purchasing from your store.
Your About Us page might include:
To edit the content on this page, go to the Pages section of your Shopify admin.


If you have exported from Ameol before, then the files that you have exported to will appear in this list. If you haven't exported before, or if you want to export to a new file, type the file name here. Click the browse button to export to an existing file that you have not exported to before.


Two killed in Puttur, police suspect property dispute
by DHNSA 16-year-old girl and her grandfather were found brutally murdered in their house in Kuriyada village in Hosmaru in Puttur taluk on Tuesday. The girl’s grandmother shifted to a private hospital in Puttur is battling for her life, police sources told DH.
The deceased were identified Samiha Banu, a student of ninth standard in MPM school and her grandfather 65-year-old Koggu Saheb. The double murder came to light when Saheb’s son Razak Hosmar, residing in Puttur, visited the house in the morning.
On finding the three victims lying in a pool of blood, Razak raised an alarm and sought the help of neighbours. Saheb’s wife Kathijamma (55) who was found breathing was shifted to a private hospital.
Saheb’s eldest son resides in Dubai and the Samiha Banu was staying with her grandparents.
Dakshina Kannada Superintendent of Police B M Lakshmi Prasad visited the spot. Police said that the suspected murderers had washed their hands at a tap located in front of the Badriya masjid. Police who have begun investigation into the double murder suspected that quarrel over property had resulted in the double murder.


I am a Computer Information Systems Major planning to focus on the development of artificial intelligence or game design. I am interested in both the development of neural networks and game logic; however, there are several work environments within these businesses that I would be interested to be part of. I chose this career path because of my passion for videogames, math, logic, and science. I want to contribute to the knowledge of this fields and create something new. In addition, I am interested in music and more especifically playing piano, which is because of my love and passion for music in general. My favorite things to do are watching shows and movies, programming, playing videogames, and playing piano and guitar. I like learning about how our world works through logic and research, and apply this knowledge to my everyday decisions.
Find Out MoreI have multiple goals I want to achive in my future career path. First, I would like to make a new technology and be able to share new knowledge with the world. I believe that knowlegedge is one of the most valuable resources; therefore, it is my desire to contribute to it. I also want to find a job at a big company like Apple, Google, or EA as a software developer. I believe in the vision of those companies to create new technologies and/or entertain people with new games. I also want to create a game by myself to learn about physics engines and game desing. I want to create a project oriented to neural networks and implement it with raspberry pi or arduino, which would be oriented to object recognition on videos through machine learning. Finally, I also want to grow as an amateur muscisian and be able to play complex songs on piano and guitar, which allows me to keep a balance in my life between my logical and artistic sides.


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Shankari.com products range from jewelery to sacred object, books, CDs and music. Get a discount on these great products.


This dialog allows you to manually add or change an Alert associated
with a specific request.
| Informational | ||
| Nizko | ||
| Srednje | ||
| Visoko |
| False Positive | for potential issues that you later find are not exploitable | |
| Nizko | for unconfirmed issues | |
| Srednje | for issues you are somewhat confident of | |
| Visoko | for findings you are highly confident in | |
| Confirmed | for confirmed issues |
x-www-form-urlencoded
request body) are identified with its index. For
example, for a request containing choices[]=ChoiceA&choices[]=ChoiceB
the first parameter would be identified
as choices[0]
and the second as choices[1]
.
| History tab | 'New Alert...' right click menu item | |
| Alerts tab | double clicking on an existing alert |
| UI Overview | for an overview of the user interface | |
| Dialogs | for details of the dialogs or popups |


Maiden Orange is a light and festive slab serif font inspired by custom hand lettered 1950's advertisements. Clean and legible, while also being offbeat and friendly, this font lends itself to a wide variety of uses.
From children's stories to the retro inspired, take Maiden Orange for a spin and let her liven up both your website and your design work.


[gecode-users] Implementing No-goods
Kish Shen
kisshen at cisco.com
Wed Sep 11 21:35:55 CEST 2013
On 11/09/2013 20:14, Kish Shen wrote:
> There is one more issue: are the no-goods remembered after the search (I
I guess I should clarify what I mean by this: are the no-goods
remembered as no-goods (rather than the posted constraint constructed
from the no-goods) after the search, i.e. if I do another search, will
these old no-goods be used to construct any new no-goods for the new search?
Cheers,
Kish
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