I first developed an interest for programming during a coding workshop in 2014. The realization that I could contribute the knowledge and experience I gained from twelve years in the Entertainment industry to the tech world and take part in creating new services and products that would positively impact people’s lives motivated me to dive into web development full-time and now Product Management
Define the product roadmap based on the strategy and vision w/Aha! Software. Manage prioritization & task among customer experience for our Web App, iOS & Android App performance using, Google Analytics, Heap & Apple Analytics. Responsible for sprint planning, story grooming & management of the product life cycle. Write user stories & organize the Backlog w/JIRA & Trello. Composing detailed PRDs, ensuring clear communication of those requirements to the business, design & development teams. Conducting Team Retrospectives.
Led accounts receivables in effort to recuperate over $50,000 within 15 months from past due accounts. I establish logistical partnerships w/music studios to expedite rentals & reduce wait times for deliveries. This led to an improved customer experience & allowed us to venture into home studio installs for Kanye West, Justin Beiber, Cher & many others.
I started as a clerk floater for the Tour Department and assisted managers & tour guides with administrative tasks & soundstage security for the Warner Bros Studio lot. Soon after I began to assist on the Ellen Degeneres show with guest services on the ingress/egress of over 300 people. After a two month tour, the department management appointed me Lead audience coordinator to supervise a team of seven guest services employees to ensure studio safety guidelines are observed while we made sure all of Telepictures’s production requests were met for the tapings of Lopez Tonight & Conan O’brien TV shows.
My initial duties were to translate mobile app content into Spanish. Brand Managers & Photographers began to entrust me with new responsibilities in which I thrived. This led to PA roles during location & set shoots. Soon after I was responsible for the content management of four mobile apps which included the post production of photographs using Adobe Photoshop, and uploading and entering metadata into contact management system. I was able to improve overall products & maximized revenue by creating new categories & acquiring new content.
From the beginning as a studio runner I was liked & trusted by music producers & artist. I ensured all janitorial, administrative & client services task were completed efficiently for all our clients & management. I learned to anticipate clients’ needs & started to reorganize staffs’ priorities & responsibilities, which led to an assistant management position. I was responsible for coordinating many successful recording & mixing sessions under minimal supervision. Here I learned & thrive the most at being a liaison between executives, producers, artists & audio engineers.
Agile Foundations Certificate
Software Product Manager Certifcation
Web Development Immersive Program & Front End Development
Associate of Science in Audio Engineering


User Manual 🙋🏻♂🛠
Conditions I like to work in #
The times / hours I like to work #
The best ways to communicate with me #
The ways I like to receive feedback #
Things I need #
Things I struggle with #
Things I love #
Other things to know about me #
← Home


| rand_seed {knitr} | R Documentation |
This expression returns .Random.seed
when eval(rand_seed)
and
NULL
otherwise.
rand_seed
It is designed to work with opts_chunk$set(cache.extra = rand_seed)
for reproducibility of chunks that involve with random number generation. See
references.
https://yihui.org/knitr/demo/cache/
eval(rand_seed) rnorm(1) # .Random.seed is created (or modified) eval(rand_seed)


{% extends 'layout.html' %} {% block pageTitle %} Developer friendly install guide - NHS.UK prototype kit {% endblock %} {% block beforeContent %} {{ breadcrumb({ items: [ { href: "/docs", text: "Home" } ], href: "/docs/install", text: "Install" }) }} {% endblock %} {% block content %}
The prototype kit is built on the Expressopens in new window framework, and uses the NHS.UK frontendopens in new window.
NHS.UK prototype kit GitHub repo
node.js - LTS version 8 or higher
npm install
npm run watch
Go to localhost:3000 in your browser.
See all how to guides


Golf R
2019 VW Golf R is track-inspired with a turbocharged engine, while also providing an equally sophisticated ride.
Audi R8
The Audi R8 is a mid-engine, 2-seater sports car, which uses Audi's trademark quattro permanent all-wheel drive system.
Bmw M5 F90
M5 Competition, with power increased to 617 hp at 6,000 rpm and 750 N⋅m torque.
Range Rover Sport
The Range Rover Sport is a British luxury mid-size SUV made by Land Rover.
Toyota Tacoma TRD
The Toyota Tacoma is a pickup truck manufactured in the U.S.
Jeep Grand Cherokee
The Jeep Grand Cherokee is a range of mid-size SUVs produced by the American manufacturer Jeep.
Volvo VNL
The Volvo VNL is built for the needs of today’s — and tomorrow’s — long-haul trucking operations.
Scania R
Scania is a major Swedish manufacturer of commercial vehicles


The msc-tools leverage an existing obelisk server. If you wish to know more about obelisk or run your own see the Obelisk page. During installation the script will prompt you if you have one. If not you can come back later and update your ~/.sx.cfg file with the correct details.
Need a server? Try checking UN Systems wiki Note: At present most of the listed servers seem to have issues except obelisk.bysh.me:9091
- For every Obelisk Worker you plan to run add ~35-40Gb for block chain storage
The installation utility and all components have been tested in the following environments:
An installation script has been provided that automates the installation process. It will prompt for obelisk server details and can be run with the following commands
git clone https://github.com/mastercoin-MSC/install-msc.git
cd install-msc
sudo bash install-msc.sh
Optionally you can provide the obelisk server details on the cli
sudo bash install-msc.sh -os tcp://your.obelisk.server.org:9091
If you want to manually install all of the components you can do so with the following commands.
#Update the apt-get packages
sudo apt-get update
#install required supporting packages:
sudo apt-get -y install git python-simplejson python-git python-pip
sudo apt-get -y install make
sudo apt-get -y install git build-essential autoconf libtool libboost-all-dev pkg-config libcurl4-openssl-dev libleveldb-dev libzmq-dev libconfig++-dev libncurses5-dev
sudo pip install -r pip.packages
#Install SX using the modified installation script
#Note, this script installs specific revisions of the sx components known to work with mastercoin-tools
sudo bash install-sx.sh
#Download the mastercoin-tools
git clone https://github.com/mastercoin-MSC/mastercoin-tools.git
#copy the scripts and app.sh wrapper for mastercoin tools to the mastercoin-tools directory
cp install-msc/res/app.sh mastercoin-tools/
cp install-msc/scripts/* mastercoin-tools/
#update ~/.sx.cfg with an obelisk server details
# ~/.sx.cfg Sample file.
#service = "tcp://<IP_ADDRESS>:9091"
#create the mastercoin tools data directory
mkdir -p /var/lib/mastercoin-tools
#bootstrap files needed to start the parsing engine
tar xzf install-msc/res/bootstrap.tgz -C /var/lib/mastercoin-tools
#Mastercoin-tools directory needs to have permissions set to the user who will run it
sudo chown -R `logname`:`logname` mastercoin-tools
sudo chown -R `logname`:`logname` /var/lib/mastercoin-tools


Methods
cartesian(set1, set2)
Creates the cartesian product of two given sets.
The cartesian product of two sets A and B is the set of all ordered pairs (a, b) where a ∈ A and b ∈ B.
Expression:
Note, that
Expression:
C = A x B = { (a, b) | a ∈ A and b ∈ B}
Note, that
A x B ≠ B x A
(not commutative)
Parameters:
| Name | Type | Description |
|---|---|---|
set1 |
Set | A set instance |
set2 |
Set | A set instance |
- Source:
- See:
Throws:
Throws an error unless both arguments are set instances.
Example
const a = Set.from(1,2)
const b = Set.from(3,4)
Set.cartesian(a, b) // Set { [1, 3], [1, 4], [2, 3], [2, 4] }
Set.cartesian(b, a) // Set { [3, 1], [3, 2], [4, 1], [4, 2] }


Writing Text Correlation Models in Tensorflow
In this post, we will look at how to write text correlation model with the aid of Recurrent Neural Network (RNN) in Tensorflow. All the code discussed in this post is also available as self paced and detailed Jupyter notebooks. This post can be directly used to implement Siamese Network model for Next Utterance Classification.
Read More


@jl777c
curl --data-binary '{"jsonrpc": "2.0", "id":"curltest", "method": "getpeerinfo", "params": [] }' -H 'content-type: text/plain;' http://<IP_ADDRESS>:$port/
{
"nodeid": 1,
"protocolversion": 2,
"ipaddress": "<IP_ADDRESS>",
"port": 7770,
"lastping":<PHONE_NUMBER>,
"time_started_con":<PHONE_NUMBER>,
"time_last_request":<PHONE_NUMBER>,
"services": 0,
"missbehavescore": 0,
"bestknownheight": 1476663,
"in_sync": "not_synced"
}
what is "services": 0, and "in_sync": "not_synced" this node has the same bestknownheight as other nodes that don't have the "in_sync" property
(edited)


{% extends 'layout.html' %} {% block content %}
Please fill out the form and submit to create a new user


This week’s project involves me getting my first experience using data analytics to get a better idea of how web developers can use analytics data to determine how users are engaging with my website. I decided to use my User Science Journal site since I was updating this site on a weekly basis.
Test Statements
- Who is coming to my site? (Male or female? Young or old? From some specific region/country, or international?)
- How do they get here? (Directly typing in the URL? Clicking links on other sites? Search?)
- What search terms are leading people to my site?
- What parts of my site are the most popular?
- What type of browser are my visitor primarily using?
- What browser language are my visitors using while reading my site?
Test Statement Hypotheses
- My site is most popular with women, ages 24-39, from the U.S.A.
- My users come from the results in a search engine such as Google, Bing, or Yahoo.
- The most popular search terms that lead people to my site are the buzzwords that are common throughout the titles in my posts such as usability, analyze, test and evaluating. Any variation of these words is used more than once in my posts are a powerful search word that may lead to appearing in a search result.
- The most popular pages on my site are my posts.
- I think my visitors are using primarily Google Chrome.
- I believe my users are reading my site in English since it’s the default language.
Setting up Google Analytics
In working through this assignment, I completed Section 1 Introducing Google Analytics in Google Analytics for Beginners on Monday, and then proceeded to the Google Marketing Platform website and clicked the Start for Free button to obtain my Google Analytics code.
After following this process and completing all the required steps allowed me to Set up Analytics tracking and get a tracking ID and tracking code that I could put in the header for my User Science Journal.
At this point, I established my test statements at the beginning since this was my first real experience in creating test statements that would be tested by Data Analytics, so I felt most comfortable using the four provided in the project description on Canvas as well as adding two additional statements after completing Section 3 Basic Reporting from Google Analytics for Beginners course:
- What type of browser are my visitor primarily using?
- What browser language are my visitors using while reading my site?
Findings
Test Statement One: Unfortunately, I didn’t enable the Advertising Features Enable Demographics and Interest Reports option during set-up, so I don’t have data on the demographics of my visitors. This is a pretty significant error on my part but a good learning opportunity to remember for the future. I will need to check back in a few days and add this data and findings into my report.
Test Statement Two: My site had seven visitors over the past week since adding Google Analytics code, six visitors were direct (directly typing my URL into their search engine) and I also had two referrals’ which indicate that these two visitors arrived on my site clicked on a website other than a search engine. I don’t quite understand where this discrepancy comes from having seven visitors but eight mediums.
Test Statement Three: Analyzing the data from the metric, What Pages do your users Visit? and seeing that my post from last week about adding subtitles to a video received 5 pages views leads me to believe that using key search words helps visitors land on my website.
Test Statement Four: The parts of my website that are the most popular are my homepage and then my posts since both account for a majority of my page views, However my bounce rate of 60% means that I would need to add more content than my posts to retain visitors.
Test Statement Five: My visitors are are primarily using Google Chrome on a desktop.
Test Statement Six: My visitors are using English in their web browsers while visiting my website.
One piece of data that I didn’t consider earlier in the week to test was what platform my visitors would primarily use to visit my website: desktop or mobile.
Take-Away
I can tell that I am still learning how to properly enable data analytics and create valid test statements that are not only applicable to my site but that I will be able to test by understanding what Google Analytics offers it’s users. I am optimistic that similar to my Analyze for Usability, Usable Design Analysis posts. Both were part of an overall learning experience that saw me grow in my understanding of user science.


A website serves as an online identitiy for a business. Our modern and professional web development standards ensure your website will scale flawlessly across all screen types and sizes.
Learn MoreThe best way to generate online leads for any business is through organized online marketing strategies. We implement effective SEO techniques that attract more online customers.
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*Be aware of the timer below*
The more answer you get right, the prouder you should be for being a true fan!


Welcome to MultiPong!
- The game will start when an opponent has been found.
- Move your mouse cursor inside the game area to move your paddle.
- Each the ball bounces off a surface, its speed will increase by 5%.
- Each time your paddle touches the ball, the paddle will slightly shrink.
- Enjoy!


--- layout: post title: StrapYa - an online store date: 2004-12-18 00:00:00 categories: mobile personal play ---
StrapYa - an online store for those dangly little mobile straps.
One of my favourite "features" of the 7610 is the little strap it came with - I think because it gives me something to fiddle with when I'm not doing anything with my phone, and turns the rounded yet plasticky device into something a bit more organic...


BasicsAdvanced |
Tutorials |
Main WindowDMX Monitor DMX Address tool DMX Dump Live Edit |
Fixture Manager |
Function Manager |
Show ManagerSimple Desk |
Virtual Console |
Input/Output |
Plugins |
Fixture Definition Editor |


KISSY is a powerfull javascript framework for building cross end web application such as desktop, mobile and pad.
KISSY.config
, with all configuration settings.
KISSY is distributed under the MIT Open Source license.
KISSY is an Open Source project so your contribution is welcome. Fell free to report bugs or improve the code on Github.


Witch Athrea:
What? No boxes? Utter failure!
Well, well, well. I should just throw you out of here, but I'm too soft-hearted for that. You shall have one more chance to take the test, but it will be expensive.
These boxes aren't free, you understand? Give me 10,000 Adena and I will make the boxes again. Is this agreeable?
"I will pay you 10,000 Adena."


If you are using the merge_variables argument, you can add variables like this: {{variable_name}}.
Room for company logo.
The Return Address will be printed here. The red area will be visible through the envelope window.
The Recipient's Address will be printed here. The red area will be visible through the envelope window.


Our Valentine's gift to each other--Mariokart. Nothing says I love you like a shell, banana peel or mystery exploding cube in your path.
2/15/2009, 9:58:58 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Our Valentine's gift to each other--Mariokart. Nothing says I love you like a shell, banana peel or mystery exploding cube in your path.
2/15/2009, 9:58:58 PM
Favs: 0
Retweets: 0
link


set clip xlo xhi ylo yhi
This command sets the coordinates for clipping the plot area for
display and draw commands. The four arguments xlo, xhi, ylo,
yhi
are the clipping coordinates in real page inches.
set parea
command.
set clip
overrides this default.
display
command is
executed, GrADS sets the clipping area to the region specified by set parea
or set
clip
, draws the graphic, then resets the clipping region to the
entire page.
clear
or display
.


I would prefer if I got an opportunity for work in technologies related to the web, artificial intelligence, Data Warehouse and Data Mining.
Learn More1.Get certificate place in workshop Game Development
2.Secured 3rd place in FAST-NU.
3.Technical Member: Diaria’14 at FAST-NU CFD.Organizer: SCI-WORLD Diaria’14 at FAST-NU CFD.
My team name is Confidesk Solutions and my Friends are FAST-NU students.
Learn MoreMy skills are include followings items:
He is a top-notch package of computing. Unlike other who always try to be the bookworms, he tries to implement everything on practical basis, and tries to gain as much experience as he can. .
He is a top-notch package of computing. Unlike other who always try to be the bookworms, he tries to implement everything on practical basis, and tries to gain as much experience as he can. .


| Mouse Nickname | {{ mouse?.subject_nickname }} |
|---|---|
| Mouse UUID | {{ mouse?.subject_uuid }} |
| Mouse DOB | {{ mouse?.subject_birth_date }} |
| Lab | {{ mouse?.lab_name }} |
| Sex | {{ mouse?.sex }} |
| Project | {{ mouse?.projects }} |
| User | {{ mouse?.responsible_user }} |
| Ear Mark | {{ mouse?.ear_mark }} |
|---|---|
| Mouse Line | {{ mouse?.subject_line }} |
| Source | {{ mouse?.subject_source }} |
| Protocol Number | {{ mouse?.protocol_number }} |
| Description | {{ mouse?.subject_description }} |


mongoc_read_mode_t
Read Preference Modes
Synopsis
typedef enum { MONGOC_READ_PRIMARY = (1 << 0), MONGOC_READ_SECONDARY = (1 << 1), MONGOC_READ_PRIMARY_PREFERRED = (1 << 2) | MONGOC_READ_PRIMARY, MONGOC_READ_SECONDARY_PREFERRED = (1 << 2) | MONGOC_READ_SECONDARY, MONGOC_READ_NEAREST = (1 << 3) | MONGOC_READ_SECONDARY, } mongoc_read_mode_t;
Description
This enum describes how reads should be dispatched. Please see the MongoDB website for a description of Read Preferences.


crnt4sbml.GeneralApproach¶
-
class
crnt4sbml.
GeneralApproach
(cgraph, get_physiological_range)[source]¶ Class for constructing a more general approach to bistability detection for systems with mass action kinetics.
Methods
__init__
(cgraph, get_physiological_range)Initialization of GeneralApproach class. initialize_general_approach
([signal, …])Function for initializing the necessary variables for the general approach. generate_report
()Prints out helpful details constructed by crnt4sbml.GeneralApproach.run_optimization()
,crnt4sbml.GeneralApproach.run_continuity_analysis()
, andcrnt4sbml.GeneralApproach.run_greedy_continuity_analysis()
.get_conservation_laws
()Returns a string representation of the conservation laws. get_input_vector
()Returns a list of SymPy variables that specifies the ordering of the reactions and species for which bounds need to be provided. get_decision_vector
()Returns a list of SymPy variables that specifies the ordering of the reactions and species of the decision vector used in optimization. get_optimization_bounds
()Returns a list of tuples that corresponds to the determined physiological bounds chosen for the problem. get_independent_odes
()Returns a Sympy Matrix representing the independent ODE system without conservation laws substituted in. get_independent_odes_subs
()Returns a Sympy Matrix representing the independent ODE system with conservation laws substituted in. get_independent_species
()Returns a list of SymPy variables that reflects the independent species chosen for the general approach. get_fixed_reactions
()Returns a list of SymPy variables that describe the reactions that were chosen to be fixed when ensuring a steady-state solution exists. get_solutions_to_fixed_reactions
()Returns a list of SymPy expressions corresponding to the fixed reactions. get_jacobian
()Returns a Sympy expression of the Jacobian, where the Jacobian is with respect to the independent species. get_determinant_of_jacobian
()Returns a Sympy expression of the determinant of the Jacobian, where the Jacobian is with respect to the independent species. get_comm
()Returns a mpi4py communicator if it has been initialized and None otherwise. get_my_rank
()Returns the rank assigned by mpi4py if it is initialized, otherwise None will be returned. run_optimization
([bounds, iterations, seed, …])Function for running the optimization problem for the general approach. run_continuity_analysis
([species, …])Function for running the numerical continuation and bistability analysis portions of the general approach. run_greedy_continuity_analysis
([species, …])Function for running the greedy numerical continuation and bistability analysis portions of the general approach. run_direct_simulation
([…])Function for running direct simulation to conduct bistability analysis of the general approach. -
generate_report
()[source]¶ Prints out helpful details constructed by
crnt4sbml.GeneralApproach.run_optimization()
,crnt4sbml.GeneralApproach.run_continuity_analysis()
, andcrnt4sbml.GeneralApproach.run_greedy_continuity_analysis()
.Example
See also General Approach Example and General Approach Walkthrough
-
get_conservation_laws
()[source]¶ Returns a string representation of the conservation laws. Here the values on the left hand side of each equation are the constants of the conservation laws.
Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> print(GA.get_conservation_laws())
-
get_decision_vector
()[source]¶ Returns a list of SymPy variables that specifies the ordering of the reactions and species of the decision vector used in optimization. Note: this method should not be used to create bounds for the optimization routine, rather
crnt4sbml.GeneralApproach.get_input_vector()
should be used.Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response) >>> print(GA.get_decision_vector())
-
get_determinant_of_jacobian
()[source]¶ Returns a Sympy expression of the determinant of the Jacobian, where the Jacobian is with respect to the independent species.
Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response) >>> GA.get_determinant_of_jacobian()
-
get_fixed_reactions
()[source]¶ Returns a list of SymPy variables that describe the reactions that were chosen to be fixed when ensuring a steady-state solution exists. Note that fixed_reactions must be set to True in
crnt4sbml.GeneralApproach.initialize_general_approach()
.Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response, fix_reactions=True) >>> GA.get_fixed_reactions()
-
get_independent_odes
()[source]¶ Returns a Sympy Matrix representing the independent ODE system without conservation laws substituted in. Each row corresponds to the ODE for the species corresponding to the list provided by
crnt4sbml.GeneralApproach.get_independent_species()
.Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response) >>> GA.get_independent_odes()
-
get_independent_odes_subs
()[source]¶ Returns a Sympy Matrix representing the independent ODE system with conservation laws substituted in. Each row corresponds to the ODE for the species corresponding to the list provided by
crnt4sbml.GeneralApproach.get_independent_species()
.Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response) >>> GA.get_independent_odes_subs()
-
get_independent_species
()[source]¶ Returns a list of SymPy variables that reflects the independent species chosen for the general approach.
Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response) >>> GA.get_independent_species()
-
get_input_vector
()[source]¶ Returns a list of SymPy variables that specifies the ordering of the reactions and species for which bounds need to be provided.
Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response) >>> print(GA.get_input_vector())
-
get_jacobian
()[source]¶ Returns a Sympy expression of the Jacobian, where the Jacobian is with respect to the independent species.
Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response) >>> GA.get_jacobian()
-
get_my_rank
()[source]¶ Returns the rank assigned by mpi4py if it is initialized, otherwise None will be returned.
-
get_optimization_bounds
()[source]¶ Returns a list of tuples that corresponds to the determined physiological bounds chosen for the problem. Each entry corresponds to the list provided by
crnt4sbml.GeneralApproach.get_input_vector()
.Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response) >>> GA.get_optimization_bounds()
-
get_solutions_to_fixed_reactions
()[source]¶ Returns a list of SymPy expressions corresponding to the fixed reactions. The ordering of the elements corresponds to the list returned by
crnt4sbml.GeneralApproach.get_fixed_reactions()
. Note that fixed_reactions must be set to True incrnt4sbml.GeneralApproach.initialize_general_approach()
.Example
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response, fix_reactions=True) >>> GA.get_solutions_to_fixed_reactions()
-
initialize_general_approach
(signal=None, response=None, fix_reactions=False)[source]¶ Function for initializing the necessary variables for the general approach.
Parameters: - signal (String) – A string stating the conservation law that is the x-axis of the bifurcation diagram.
- response (String) – A string stating the species that is the y-axis of the bifurcation diagram.
- fix_reactions (bool) – A bool that determines if a steady state is enforced by fixing the reactions. See General Approach Walkthrough for specific details.
Examples
>>> import crnt4sbml >>> network = crnt4sbml.CRNT("path/to/sbml_file.xml") >>> GA = network.get_general_approach() >>> signal = "C1" >>> response = "s1" >>> GA.initialize_general_approach(signal=signal, response=response)
See also General Approach Example and General Approach Walkthrough.
-
run_continuity_analysis
(species=None, parameters=None, dir_path='./num_cont_graphs', print_lbls_flag=False, auto_parameters=None, plot_labels=None)[source]¶ Function for running the numerical continuation and bistability analysis portions of the general approach.
Note: A parallel version of this routine is not available.
Parameters: - species (string) – A string stating the species that is the y-axis of the bifurcation diagram.
- parameters (list of numpy arrays) – A list of numpy arrays corresponding to the decision vectors that produce a small objective function value.
- dir_path (string) – A string stating the path where the bifurcation diagrams should be saved.
- print_lbls_flag (bool) – If True the routine will print the special points found by AUTO 2000 and False will not print any special points.
- auto_parameters (dict) – Dictionary defining the parameters for the AUTO 2000 run. Please note that one should not set
‘SBML’ or ‘ScanDirection’ in these parameters as these are automatically assigned. It is absolutely
necessary to set PrincipalContinuationParameter in this dictionary. For more information on these
parameters refer to
AUTO parameters
. ‘NMX’ will default to 10000 and ‘ITMX’ to 100. - plot_labels (list of strings) – A list of strings defining the labels for the x-axis, y-axis, and title. Where the first element is the label for x-axis, second is the y-axis label, and the last element is the title label. If you would like to use the default settings for some of the labels, simply provide None for that element.
Returns: - multistable_param_ind (list of integers) – A list of those indices in ‘parameters’ that produce multistable plots.
- plot_specifications (list of lists) – A list whose elements correspond to the plot specifications of each element in multistable_param_ind. Each element is a list where the first element specifies the range used for the x-axis, the second element is the range for the y-axis, and the last element provides the x-y values and special point label for each special point in the plot.
Example
See General Approach Example and General Approach Walkthrough..
-
run_direct_simulation
(params_for_global_min=None, dir_path='./dir_sim_graphs', change_in_relative_error=1e-06, parallel_flag=False, print_flag=False, left_multiplier=0.5, right_multiplier=0.5)[source]¶ Function for running direct simulation to conduct bistability analysis of the general approach.
Note: This routine is more expensive than the numerical continuation routines, but can provide solutions when the Jacobian of the ODE system is always singular. A parallel version of this routine is available.
Parameters: - params_for_global_min (list of numpy arrays) – A list of numpy arrays corresponding to the input vectors that produce a small objective function value.
- dir_path (string) – A string stating the path where the bifurcation diagrams should be saved.
- change_in_relative_error (float) – A float value that determines how small the relative error should be in order for the solution of the ODE system to be considered at a steady state. Note: a smaller value will run faster, but may produce an ODE system that is not at a steady state.
- parallel_flag (bool) – If set to True a parallel version of direct simulation is ran. If False, a serial version of the routine is ran. See Parallel General Approach for further information.
- print_flag (bool) – If set to True information about the direct simulation routine will be printed. If False, no output will be provided.
- left_multiplier (float) – A float value that determines the percentage of the signal that will be searched to the left of the signal value. For example, the lowerbound for the signal range will be signal_value - signal_value*left_multiplier.
- right_multiplier (float) – A float value that determines the percentage of the signal that will be searched to the right of the signal value. For example, the upperbound for the signal range will be signal_value + signal_value*right_multiplier.
Example
-
run_greedy_continuity_analysis
(species=None, parameters=None, dir_path='./num_cont_graphs', print_lbls_flag=False, auto_parameters=None, plot_labels=None)[source]¶ Function for running the greedy numerical continuation and bistability analysis portions of the general approach. This routine uses the initial value of the principal continuation parameter to construct AUTO parameters and then tests varying fixed step sizes for the continuation problem. Note that this routine may produce jagged or missing sections in the plots provided. To produce better plots one should use the information provided by this routine to run
crnt4sbml.GeneralApproach.run_continuity_analysis()
.Note: A parallel version of this routine is not available.
Parameters: - species (string) – A string stating the species that is the y-axis of the bifurcation diagram.
- parameters (list of numpy arrays) – A list of numpy arrays corresponding to the decision vectors that produce a small objective function value.
- dir_path (string) – A string stating the path where the bifurcation diagrams should be saved.
- print_lbls_flag (bool) – If True the routine will print the special points found by AUTO 2000 and False will not print any special points.
- auto_parameters (dict) – Dictionary defining the parameters for the AUTO 2000 run. Please note that only the
PrincipalContinuationParameter in this dictionary should be defined, no other AUTO parameters should
be set. For more information on these parameters refer to
AUTO parameters
. - plot_labels (list of strings) – A list of strings defining the labels for the x-axis, y-axis, and title. Where the first element is the label for x-axis, second is the y-axis label, and the last element is the title label. If you would like to use the default settings for some of the labels, simply provide None for that element.
Returns: - multistable_param_ind (list of integers) – A list of those indices in ‘parameters’ that produce multistable plots.
- plot_specifications (list of lists) – A list whose elements correspond to the plot specifications of each element in multistable_param_ind. Each element is a list where the first element specifies the range used for the x-axis, the second element is the range for the y-axis, and the last element provides the x-y values and special point label for each special point in the plot.
Example
See General Approach Example and General Approach Walkthrough.
-
run_optimization
(bounds=None, iterations=10, seed=0, print_flag=False, dual_annealing_iters=1000, confidence_level_flag=False, change_in_rel_error=0.01, constraints=None, parallel_flag=False)[source]¶ Function for running the optimization problem for the general approach.
Parameters: - bounds (list of tuples) – A list defining the lower and upper bounds for each variable in the input vector. See
crnt4sbml.GeneralApproach.get_input_vector()
. - iterations (int) – The number of iterations to run the multistart method.
- seed (int) – Seed for the random number generator. None should be used if a random generation is desired.
- print_flag (bool) – Should be set to True if the user wants the objective function values found in the optimization problem and False otherwise.
- dual_annealing_iters (integer) – The number of iterations that should be ran for dual annealing routine in optimization.
- confidence_level_flag (bool) – If True a confidence level for the objective function will be given.
- change_in_rel_error (float) – The maximum relative error that should be allowed to consider in the neighborhood of .
- constraints (list of dictionaries) – Each dictionary is of the form {‘type’: ‘…’, ‘fun’: lambda x: … }, where ‘type’ can be set to ‘ineq’ or ‘eq’ and the lambda function to be defined by the user. The ‘ineq’ refers to an inequality constraint c(x) with c(x) <= 0. For the lambda function the input x refers to the input vector of the optimization routine. See General Approach Walkthrough for further details.
- parallel_flag (bool) – If set to True a parallel version of the optimization routine is ran. If False, a serial version of the optimization routine is ran. See Parallel General Approach.
Returns: - params_for_global_min (list of numpy arrays) – A list of numpy arrays that correspond to the input vectors of the problem.
- obj_fun_val_for_params (list of floats) – A list of objective function values produced by the corresponding input vectors in params_for_global_min.
Examples
See General Approach Example and General Approach Walkthrough.
- bounds (list of tuples) – A list defining the lower and upper bounds for each variable in the input vector. See
-


--- # Put a short, abstract-like thing in a file in _works. # Be really carefuly with quotes. Just use the escape (forward slash) # Help with columns/images: https://getbootstrap.com/docs/3.3/examples/grid/ layout: project title: "Walker (Version 1)" date: "4/4/2020" posts-tag: walker-v1 # Sections main: - h1: "Project Overview" slug: "" body: "
The goal of this project was to build a robot that could move on two legs in the simplest manner possible. The final design consists of the two legs attached to motors on a shared platform with a third leg added behind for stabilization. The electronics, stored inside of the platform, include an Arduino, power supply, and h-bridge motor driver. With this setup, the Walker was able to move forward slowly under an external power supply. The motors were not strong enough to move the robot under its own supply.
The Walker was designed around the idea of having two legs and two motors, connected by a thin bed. As prototyping ensued, a third leg was added for stability on the back on the robot. Parts used in the mechanical design include:
The leg was printed with 70% infill. In retrospect, that made it too heavy and should be decreased, especially for a part that does not face much structural strain.
Connected to the motors by duct tape (to allow easy removal) is the bed. Limited by the materials I have at home (thanks coronavirus), the bed was a cardboard box I found around the house. By accident, I stumbled upon a really good body. It was light, easy to mount things to, and had an inside where the electronics could be stored. The biggest thing it lacked was mounting holes; the thing body made it very hard to attach anything without using glue or tape.
The biggest thing change to the original design was the addition of a stabilizing leg behind the body. As soon as I turned on the motors it became clear something like this was necessary. Without something to push against, the robot can’t move and just falls over. It needed something behind it to counteract the force as the legs pushed backwards. I solved this with a wooden ruler, attached to the back of the Walker as a stabilizer. It reaches just far enough to touch the ground at a slight angle, allowing the robot to move under its own power.
To prevent the legs from moving too far forward and toppling the robot, I added a pencil that serves as a stopper. When the legs reach this pencil, they can no longer move and further forward.
" - h1: "Electrical Component" slug: "electrical" body: "The electrical component of the Walker needed to drive the motors in a way that allowed the robot to walk. The best way to do this with the parts I had on hand was to use an Arduino and h-bridge. The final set of parts are:
All programming for this project was written in Arduino IDE and exclusively used to control the motor. Since programming was not a focus of this project, it is a very simple set of instructions. The legs move in opposite directions at the same time. For example, the first leg rotates in the forward direction while the second one moves in reverse. To prevent shuffling, moving in reverse occurs for significantly longer than moving forward does. While one leg is moving in reverse, the other one does not move, then moves forward, then stops moving again. This algorithm allows the robot to move–slowly but surely–on its own power.
" --- This is a pre-Github project. The associated files can be found below.


Inspection for deprecated experimental lombok annotations, which are not supported any more and which should be replaced by ones promoted to main package.


Quizzical
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| 1 | /* Woodstox Lite ("wool") XML processor | |
| 2 | * | |
| 3 | * Copyright (c) 2006- Tatu Saloranta<EMAIL_ADDRESS>| |
| 4 | * | |
| 5 | * Licensed under the License specified in the file LICENSE which is | |
| 6 | * included with the source code. | |
| 7 | * You may not use this file except in compliance with the License. | |
| 8 | * | |
| 9 | * Unless required by applicable law or agreed to in writing, software | |
| 10 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 11 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 12 | * See the License for the specific language governing permissions and | |
| 13 | * limitations under the License. | |
| 14 | */ | |
| 15 | ||
| 16 | package com.fasterxml.aalto.sax; | |
| 17 | ||
| 18 | import javax.xml.parsers.SAXParser; | |
| 19 | import javax.xml.parsers.SAXParserFactory; | |
| 20 | ||
| 21 | import org.xml.sax.SAXNotRecognizedException; | |
| 22 | import org.xml.sax.SAXNotSupportedException; | |
| 23 | ||
| 24 | import com.fasterxml.aalto.stax.InputFactoryImpl; | |
| 25 | ||
| 26 | /** | |
| 27 | * This is implementation of the main JAXP SAX factory, and as such | |
| 28 | * acts as the entry point from JAXP. | |
| 29 | *<p> | |
| 30 | * Note: most of the SAX features are not configurable as of yet. | |
| 31 | * However, effort is made to recognize all existing standard features | |
| 32 | * and properties, to allow using code to figure out existing | |
| 33 | * capabilities automatically. | |
| 34 | */ | |
| 35 | public class SAXParserFactoryImpl | |
| 36 | extends SAXParserFactory | |
| 37 | { | |
| 38 | final InputFactoryImpl mStaxFactory; | |
| 39 | ||
| 40 | public SAXParserFactoryImpl() | |
| 41 | { | |
| 42 | // defaults should be fine... | |
| 43 | ||
| 44 | mStaxFactory = new InputFactoryImpl(); | |
| 45 | } | |
| 46 | ||
| 47 | // As per [Issue#4], let's re-define this method | |
| 48 | /** | |
| 49 | * @since 0.9.8 | |
| 50 | */ | |
| 51 | public static SAXParserFactory newInstance() { | |
| 52 |
1
1. newInstance : mutated return of Object value for com/fasterxml/aalto/sax/SAXParserFactoryImpl::newInstance to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return new SAXParserFactoryImpl(); |
| 53 | } | |
| 54 | | |
| 55 | @Override | |
| 56 | public boolean getFeature(String name) | |
| 57 | throws SAXNotRecognizedException, SAXNotSupportedException | |
| 58 | { | |
| 59 | // Standard feature? | |
| 60 | SAXFeature stdFeat = SAXUtil.findStdFeature(name); | |
| 61 |
1
1. getFeature : negated conditional → NO_COVERAGE |
if (stdFeat != null) { |
| 62 | // fixed? | |
| 63 | Boolean b = SAXUtil.getFixedStdFeatureValue(stdFeat); | |
| 64 |
1
1. getFeature : negated conditional → NO_COVERAGE |
if (b != null) { |
| 65 |
1
1. getFeature : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return b.booleanValue(); |
| 66 | } | |
| 67 | // ok, may change: | |
| 68 | switch (stdFeat) { | |
| 69 | case IS_STANDALONE: // read-only, but only during parsing | |
| 70 |
1
1. getFeature : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return true; |
| 71 | default: | |
| 72 | } | |
| 73 | } else { | |
| 74 | // any non-standard one we may support? | |
| 75 | } | |
| 76 | ||
| 77 | // nope, not recognized: | |
| 78 |
1
1. getFeature : removed call to com/fasterxml/aalto/sax/SAXUtil::reportUnknownFeature → NO_COVERAGE |
SAXUtil.reportUnknownFeature(name); |
| 79 |
1
1. getFeature : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return false; // never gets here |
| 80 | } | |
| 81 | ||
| 82 | @Override | |
| 83 | public SAXParser newSAXParser() { | |
| 84 |
1
1. newSAXParser : mutated return of Object value for com/fasterxml/aalto/sax/SAXParserFactoryImpl::newSAXParser to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return new SAXParserImpl(mStaxFactory); |
| 85 | } | |
| 86 | ||
| 87 | @Override | |
| 88 | public void setFeature(String name, boolean enabled) | |
| 89 | throws SAXNotRecognizedException, SAXNotSupportedException | |
| 90 | { | |
| 91 | // Standard feature? | |
| 92 | SAXFeature stdFeat = SAXUtil.findStdFeature(name); | |
| 93 |
1
1. setFeature : negated conditional → NO_COVERAGE |
if (stdFeat != null) { |
| 94 | boolean ok; | |
| 95 | ||
| 96 | switch (stdFeat) { | |
| 97 | case EXTERNAL_GENERAL_ENTITIES: | |
| 98 |
2
1. setFeature : negated conditional → NO_COVERAGE 2. setFeature : ROR: changed not equals zero comparison to less than operator → NO_COVERAGE |
ok = !enabled; |
| 99 | break; | |
| 100 | case EXTERNAL_PARAMETER_ENTITIES: | |
| 101 |
2
1. setFeature : negated conditional → NO_COVERAGE 2. setFeature : ROR: changed not equals zero comparison to less than operator → NO_COVERAGE |
ok = !enabled; |
| 102 | break; | |
| 103 | case IS_STANDALONE: // read-only... | |
| 104 | ok = true; | |
| 105 | break; | |
| 106 | case LEXICAL_HANDLER_PARAMETER_ENTITIES: | |
| 107 | ok = true; // won't be able to handle PEs, so this is n/a | |
| 108 | break; | |
| 109 | case NAMESPACES: // can't disable | |
| 110 | ok = enabled; | |
| 111 | break; | |
| 112 | case NAMESPACE_PREFIXES: // can't enable: | |
| 113 |
2
1. setFeature : negated conditional → NO_COVERAGE 2. setFeature : ROR: changed not equals zero comparison to less than operator → NO_COVERAGE |
ok = !enabled; |
| 114 | break; | |
| 115 | case RESOLVE_DTD_URIS: // n/a for now | |
| 116 | ok = true; | |
| 117 | break; | |
| 118 | case STRING_INTERNING: | |
| 119 | /* Can not disable; however, doesn't harm if they try to | |
| 120 | * do it, so let's not care | |
| 121 | */ | |
| 122 | ok = true; | |
| 123 | break; | |
| 124 | case UNICODE_NORMALIZATION_CHECKING: | |
| 125 | // not implemented as of yet, maybe never | |
| 126 | ok = false; | |
| 127 | break; | |
| 128 | case USE_ATTRIBUTES2: // read-only | |
| 129 | case USE_LOCATOR2: // read-only | |
| 130 | case USE_ENTITY_RESOLVER2: // read-only | |
| 131 | // read-only, who cares: | |
| 132 | ok = true; | |
| 133 | break; | |
| 134 | case VALIDATION: | |
| 135 | // validation not yet implemented | |
| 136 |
2
1. setFeature : negated conditional → NO_COVERAGE 2. setFeature : ROR: changed not equals zero comparison to less than operator → NO_COVERAGE |
ok = !enabled; |
| 137 | break; | |
| 138 | case XMLNS_URIS: | |
| 139 | // without disabling ns-processing, irrelevant: | |
| 140 | ok = true; | |
| 141 | break; | |
| 142 | case XML_1_1: | |
| 143 | // not yet implemented | |
| 144 |
2
1. setFeature : negated conditional → NO_COVERAGE 2. setFeature : ROR: changed not equals zero comparison to less than operator → NO_COVERAGE |
ok = !enabled; |
| 145 | break; | |
| 146 | default: // should never happen... | |
| 147 | ok = false; | |
| 148 | } | |
| 149 |
2
1. setFeature : negated conditional → NO_COVERAGE 2. setFeature : ROR: changed not equals zero comparison to less than operator → NO_COVERAGE |
if (!ok) { |
| 150 | throw new SAXNotSupportedException("Setting std feature "+stdFeat+" to "+enabled+" not supported"); | |
| 151 | } | |
| 152 | return; | |
| 153 | } | |
| 154 | ||
| 155 | // any non-standard one we may support? | |
| 156 | ||
| 157 | // nope, not recognized: | |
| 158 |
1
1. setFeature : removed call to com/fasterxml/aalto/sax/SAXUtil::reportUnknownFeature → NO_COVERAGE |
SAXUtil.reportUnknownFeature(name); |
| 159 | } | |
| 160 | ||
| 161 | @Override | |
| 162 | public void setNamespaceAware(boolean awareness) | |
| 163 | { | |
| 164 |
2
1. setNamespaceAware : negated conditional → KILLED 2. setNamespaceAware : ROR: changed not equals zero comparison to less than operator → KILLED |
if (!awareness) { |
| 165 | throw new IllegalArgumentException("Non-namespace-aware mode not implemented"); | |
| 166 | } | |
| 167 |
1
1. setNamespaceAware : removed call to javax/xml/parsers/SAXParserFactory::setNamespaceAware → SURVIVED |
super.setNamespaceAware(awareness); |
| 168 | } | |
| 169 | ||
| 170 | @Override | |
| 171 | public void setValidating(boolean value) | |
| 172 | { | |
| 173 |
2
1. setValidating : negated conditional → NO_COVERAGE 2. setValidating : ROR: changed equals zero comparison to less than operator → NO_COVERAGE |
if (value) { |
| 174 | throw new IllegalArgumentException("Validating mode not implemented"); | |
| 175 | } | |
| 176 |
1
1. setValidating : removed call to javax/xml/parsers/SAXParserFactory::setValidating → NO_COVERAGE |
super.setValidating(value); |
| 177 | } | |
| 178 | } | |
| 179 | ||
| 180 | ||
| 181 | ||
Mutations | ||
| 52 |
1.1 |
|
| 61 |
1.1 |
|
| 64 |
1.1 |
|
| 65 |
1.1 |
|
| 70 |
1.1 |
|
| 78 |
1.1 |
|
| 79 |
1.1 |
|
| 84 |
1.1 |
|
| 93 |
1.1 |
|
| 98 |
1.1 2.2 |
|
| 101 |
1.1 2.2 |
|
| 113 |
1.1 2.2 |
|
| 136 |
1.1 2.2 |
|
| 144 |
1.1 2.2 |
|
| 149 |
1.1 2.2 |
|
| 158 |
1.1 |
|
| 164 |
1.1 2.2 |
|
| 167 |
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|
| 173 |
1.1 2.2 |
|
| 176 |
1.1 |


Installation¶
RCL is provided as source and wheel. You will find both in your TRACE32 installation <T32SYS>/demo/api/python/rcl/dist.
See also
General information on installing oPython packages can be found here:
We recommend to install RCL using PIP.
Installing local wheel¶
pip install lauterbach_trace32_rcl-latest-p3-none-any-whl
Note
If you get the following error
Could not install packages due to an EnvironmentError: [WinError 5] Access is denied:
Consider using the '--user' option or check the permissions.
you either have to run the command as admin or install to the user site.
Installing to the user site¶
pip install --user lauterbach_trace32_rcl-latest-p3-none-any-whl
Installing without PIP¶
Installation is also possible without PIP. For this reason we provide the packed source as a .tar.gz. Extract the .tar.gz and change into the directory containing the setup.py.
Then run
python setup.py install
or
python setup.py install --user


Cruzeiro lose 4-1 at Santos as relegation fears deepen
The relegation worries of Brazilian top-flight football team Cruzeiro deepened on Saturday when they surrendered an early lead to go down 4-1 away from home to Santos.
SANTOS: The relegation worries of Brazilian top-flight football team Cruzeiro deepened on Saturday when they surrendered an early lead to go down 4-1 away from home to Santos.
Luis Orejuela gave the Belo Horizonte side the lead after 14 minutes but a goal from Eduardo Sasha midway through the first half brought Santos level before Marinho and Yeferson Soteldo scored in quick succession in the second half.
Diego Pituca made it four in the 90th minute.
The result extends Cruzeiro's winless run to five games and leaves them five places from bottom of Serie A, one point ahead of Fluminense, who have a game in hand. The bottom four teams are relegated to Serie B at the end of the football season.
At the other end of the table, Santos move into second place, above Palmeiras on goal difference. Palmeiras play Gremio on Sunday.
Flamengo, who beat River Plate 2-1 to win the Copa Libertadores on Saturday, need just three points from their final four games to clinch the league title.
(Reporting by Andrew Downie; Editing by Christopher Cushing)


|
KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
|
Tools to calculate the nearest point in different geometries. More...
#include <nearest_point_utilities.h>
Public Member Functions | |
Type Definitions | |
| KRATOS_CLASS_POINTER_DEFINITION (NearestPointUtilities) | |
| Pointer definition of NearestPointUtilities. More... | |
Life Cycle | |
| NearestPointUtilities ()=delete | |
| Default constructor. More... | |
| NearestPointUtilities (NearestPointUtilities const &rOther)=delete | |
| Copy constructor. More... | |
Operators | |
| NearestPointUtilities & | operator= (NearestPointUtilities const &rOther)=delete |
| Assignment operator. More... | |
Static Public Member Functions | |
Operations | |
| template<class TPointType , class TGeometryType > | |
| static Point | LineNearestPoint (const TPointType &rPoint, const TGeometryType &rLine) |
| Finds the nearest point to the given point on a line segment. More... | |
| template<class TPointType , class TGeometryType > | |
| static Point | TriangleNearestPoint (const TPointType &rPoint, const TGeometryType &rTriangle) |
| Finds the nearest point to the given point on a trianlge. More... | |
Tools to calculate the nearest point in different geometries.
These tools are generic enough to be used in different contexts while used in the geometries
|
delete |
Default constructor.
|
delete |
Copy constructor.
| Kratos::NearestPointUtilities::KRATOS_CLASS_POINTER_DEFINITION | ( | NearestPointUtilities | ) |
Pointer definition of NearestPointUtilities.
|
inlinestatic |
Finds the nearest point to the given point on a line segment.
It first projects the point into the line. If the porjceted point is inside the segment boundary it returns the projected point. If not it returns the nearest end point of the line.
| Type | of the Point |
| TGeometryType | The type of the line. Assumes to have [] access and IsInside method |
| rPoint | The query point which we want to get nearest point to it on the line |
| rLine | The line in which we want to find the nearest point to rPoint |
|
delete |
Assignment operator.
|
inlinestatic |
Finds the nearest point to the given point on a trianlge.
It first projects the point into the triangle surface. If the porjceted point is inside the triangle it returns the projected point. If not it returns the nearest point on the edges of the triangle. Dividing the plane of the triangle in 7 zones and find the nearest reflecting those zones
\ / \ 6 / \ / \ / /\ / \ 2 / \ 3 / 1 \ / \
_______ /_______________________ / \ 5 / 4 \ 7 / \ / \
| Type | of the Point |
| TGeometryType | The type of the triangle. Assumes to have [] access and IsInside method |
| rPoint | The query point which we want to get nearest point to it on the line |
| rTriangle | The triangle in which we want to find the nearest point to rPoint |


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You may try different viewport setting to see what is best fit your application.


Appends the dialog to the element defined by the CSS selector.
A map with all behaviors that were defined for this widget. The key is the name of the behavior, the value is the callback function that is invoked when the behavior is called.
Tabindex of the datepicker button
Style class for the button that clear the selected date or time.
Date format to be used for parsing and formatting dates, such as mm/dd/yy
.
Javascript function that takes a date object and returns the content for the date cell.
The default date that is shown when none was specified.
Whether the input is disabled.
List of dates that should be disabled.
List of week day indexes that should be disabled.
When enabled, input receives focus after a value is picked.
Defines if the popup should be hidden when a time is selected.
Defines the hour format, either 12 hour mode or 24 hour mode.
Icon of the date picker element that toggles the visibility in popup mode.
The ID of this widget, usually the ID of the DOM element.
Whether the date picker is rendered inline or as an overlay.
ID of the input element that stores the selected date or time.
Inline style of the input element. Used when mode is popup.
Style class of the input element. Used when mode is popup.
Whether to keep the invalid inputs in the field or not.
Localized strings for various messages displayed by the date or time picker.
Applies a mask using the pattern.
Clears the field on blur when incomplete input is entered
Placeholder in mask template.
Sets date picker's maximum selectable value. Also used for validation on the server-side.
Defines the maximum number of selectable dates in multiple selection mode.
Sets date picker's minimum selectable value. Also used for validation on the server-side.
Whether to show the month navigator
The name of this widget.
Number of months to display concurrently.
Client side callback to execute before the date picker overlay is hidden.
Client side callback to execute before the date picker overlay is shown.
Client side callback to execute when input element loses focus.
Client side callback to execute when the selected date has changed.
Client side callback to execute when the button to clear the selected date or time was clicked.
Client side callback to execute when input element receives focus.
Client side callback to execute when data was entered into the input field.
Client side callback to execute when the selected month has changed.
Client side callback to execute when text within input element is selected by user.
Client side callback to execute when the button to switch to the current date was clicked.
Client side callback to execute when the displayed date changes.
Client side callback to execute when the selected year has changed.
Inline style of the container element.
Style class of the container element.
Specifies a short hint.
User-defined callback that may be overridden by the user. Invoked before the date picker overlay is shown.
Separator for joining start and end dates on range selection mode, such as -
.
Whether the input is set to readonly
.
Whether an input is required.
Enables selection of days belonging to other months.
Defines the selection mode, whether one or multiple dates can be selected.
The cutoff year for determining the century for a date. Any dates entered with a year value less than or equal to the cutoff year are considered to be in the current century, while those greater than it are deemed to be in the previous century.
Whether to display buttons at the footer.
Whether to show an icon to display the picker in an overlay
Whether the date picker overlay is shown when the element focused.
Displays days belonging to other months.
Whether to show the seconds in time picker. Default is false
.
Specifies if the time picker should be displayed
Hour steps.
Minute steps.
Second steps.
Inline style of the component.
Style class of the component.
Tabindex of the date picker button
Whether an input is rendered for the time, or a text element only.
Shows only time picker without date.
Style class for the button that switches to the current date.
Activates touch friendly mode
Icon of the datepicker element that toggles the visibility in popup mode.
Custom localized settings for the locale.
Defines the view mode, whether a date or month is to be selected.
The date that is shown in the picker.
The name of the widget variables of this widget. The widget variable can be used to
access a widget instance by calling PF("myWidgetVar")
.
Whether to show the year navigator
The range of years displayed in the year drop-down in (nnnn:nnnn
) format such as (2000:2020
). Default
value is displayed_date - 10 : displayed_date + 10
.
Generated using TypeDoc
The configuration for the DatePicker widget. You can access this configuration via BaseWidget.cfg. Please note that this configuration is usually meant to be read-only and should not be modified.


FACE/OFF (1997) A film review by Nick Schaden Copyright 1997 Nick Schaden
"Face/Off" is the story of Sean Archer (John Travolta), a member of an elite secret FBI team attempting to hunt down and catch Castor Troy (Nicholas Cage), one really vile and over the top terrorist (of course, who ISN'T in today's action movies). In the opening of the movie we watch as Sean gets nailed from Castor Troy with a sniper's bullet. Unfortunately, while Sean barely survives the attack, his son doesn't, and thus sets Sean on a life-long pursuit after the evil Castor.
Normal action movie right? Wrong. Flashy action director John Woo (somewhat unsuccessfully) throws the audience a curveball. To better infiltrate Castor's crime syndicate, mainly in attempt to stop a bomb going off in the middle of LA, Sean uses "modern day technology". What technology you ask? It's not just rubber noses: Sean literally exchanges his own face with the face of Castor (who at this point has been brought into justice and is resting peacefully in a coma). Sound moderately corny? It is, and no matter how many special effects John Woo brings into the mix, the switch still seems awkward to me.
While this is in some ways a pitfall of the movie, fortunately it turns around to make the movie more enjoyable. As suspected, Castor gets out of the coma, and takes the original face of Sean Archer. Thus for the majority of the movie, you have literal role reversals, Sean appears to be Castor, and vice versa. More importantly however, the audience gets to see John Travolta acting like the wild Nicholas Cage we've come to love, and Cage play the more straight-shooting Travolta. You can see the actors are having a good time in their roles, and the actors play wonderfully off each other.
Now the real question: how's the ACTION? Fortunately, it's the other major strength of the movie, with incredibly original sequences, from speed boats to planes on runways. John Woo is a master at this art, and succeeds in creating exciting and invigorating shoot outs. On that same note however, I was disappointed in that what I believed to be the best action sequence - where Sean is attempting to intercept Castor at the airport - is the first sequence of the movie! Consequently, while the movie opened with a bang, I was a little let down by the remaining action sequences. And on a minor point, while most of the slow motion touches are nice, Mr. Woo seems to be a little too obsessed with this movie making quality.
All in all, if you allow yourself to be wrapped up in Face/Off's vortex, you may look back at a few parts (the face swapping scene comes instantly to my mind) with skepticism, but you'll certainly enjoy the two hour ride.
Nick's Rating: + 2 (Recommended)
*** Rating scale goes from -4 (worst) to +4 (best). 0 = Average rating *** -- Nick Schaden E mail comments to<EMAIL_ADDRESS>Check out all of Nick's reviews at: http://uslink.net/~cpunut/movies.html
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


Where hospitals are
County distribution of medical practitioners 2012
Health facilities distribution
How counties allocated health development expenditure for their population
County distribution of medical practitioners 2012
Where hospitals are


Anne Norland is a singer, actress, dancer and teacher. Anne recently relocated to San Francisco, CA from Washington, DC.
Anne is currently performing the role of Clarice Starling in Silence! The Musical, the unauthorized musical parody of The Silence of the Lambs at the Victoria Theatre in San Francisco’s Mission district. The show is presented by Cloud 9 Theatricals, in association with Lang Entertainment Group and Ray of Light Theatre.
She is also in rehearsal for Fly Guy! as Fly Girl with the Bay Area Children’s Theatre, which will premier in March.
In DC, Anne was awarded a BroadwayWorld, DC award for her role as Mary Magdalene in Jesus Christ Superstar at the Alden Theatre. Anne was also recognized with a DC Metro Theatre Arts honor for her role as Lucy Brown in The Threepenny Opera at the Greenberg Theatre.
Anne is a proud alum of American University, where she earned her degree in Musical Theatre & K-12 Performing Arts Education. She worked closely under the mentorship of Julie Sara Boyd. Anne is also a 2014 Hangar Theatre Lab Company 2014 and she participated in Signature Theatre’s Overtures Musical Theatre Institute, as well as the Broadway Theatre Project, under the leadership of Ben Vereen and Debra McWaters. Anne trained under Barbara Tirrell, Michael McElory, Kent Gash, and Jason Burrow at New York University as well as with Jen Waldman at the Jen Waldman Studio in New York City.
In addition to performing, Anne directs and music directs theatre performed by Children—currently Frog & Toad at the Children’s Creativity Museum and Julius Caesar at the Stratford School. Past directorial gigs include abridged editions of Aristocats, The Phantom Tollbooth, Honk, and James and the Giant Peach with Bay Area Children’s Theatre; You’re a Good Man, Charlie Brown, Kilroy Was Here, and Guys & Dolls in FCPS; and Annie and Hair! in DCPS.
Anne is a full-time Middle School Teacher and Arts specialist at the Stratford School in San Francisco. She teaches 6th grade Language Arts, as well as Speech & Debate, Drama, and Visual Arts to 6th-8th.
In her free time, Anne enjoys exploring San Francisco and hiking the beautiful surrounding areas. She looks forward to continuing her exciting performing and teaching career here in Northern California!
| Theatre Performance: | ||
|---|---|---|
| Silence! The Musical(San Francisco Premier) | Clarice Starling | Ray of Light Theatre & Cloud 9/Dir. Jason Hoover |
| Musical Cafe Science Fair: The Musical* | Katie | Musical Cafe/Dir. Farah Dinga & Phil Surtees |
| Fly Guy* | Fly Girl | Bay Area Children’s Theatre/Dir. Nina Meehan |
| Goodnight, Goodnight, Construction Site* | Female u/s | Bay Area Children’s theatre/Dir. Nina Meehan |
| The Threepenny Opera | Lucy Brown | American University/Dir. Cara Gabriel |
| Jesus Christ Superstar** | Mary Magdalene | McLean Community Players/Dir. Kevin McCormack |
| JHare & Tortoise | Tortoise | Hangar Theatre/Dir. John Michael DiResta |
| Oedipus | Ismene | Hangar Theatre/Dir. John Michael DiResta |
| Yo, Vikings! | Ensemble | Hangar Theatre/Dir. Zi Alikan |
| Les Miserables | Ensemble | Shenendoah Summer Music Theatre/Dir. Hal Herman |
| Chicago | Ensemble | Shenendoah Summer Music Theatre/Dir. Hal Herman |
| Crazy for You | Patricia Fodor | Shenendoah Summer Music Theatre/Dir. Hal Herman |
| Shrek, The Musical | Blue Bird/Ensemble | Shenendoah Summer Music Theatre/Dir. Hal Herman |
| Oklahoma! | Laurey | Fairfax Theatre & Dance Academy/Dir. Suzy McCarthy |
| A Chorus Line | Bebe | Fairfax Theatre & Dance Academy/Dir. Mike Replogle |
| Chicago*** | Roxie Hart | FX Players/Dir. Wendy Knight |
| Hair | Dot | Theatre Lab/Dir. Jane Pesci-Townsend |
| Film & TV: | ||
| Who the Bleep Did I Marry? #409 | Christie Smith | Sirens Media/Producer: Alicia Melton |
| Nightmare Next Door #215 | Beverly Mauck | Sirens Media/Producer/Dir. Madeline Radman |
| Opera: | ||
| Brundibar | Chorus | Washington National Opera/Dir. Cindy Oxberry |
| The Enchantment of Dreams* | Chorus | Washington National Opera/Dir. Cary Franklin |
| Studio Recordings: | ||
| Recordings of German Hit Songs | Nena, Helene Fischer, etc. | Tency Music/Blank Productions Inc. |


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Education
-
2008-2013 Computer Science PhD under the supervision of Dr. Ben Shneiderman and Dr. Catherine Plaisant. University of Maryland at College Park, Maryland USA.
Thesis: Exploring differences in multivariate datasets using hierarchiesAn interactive information visualization approach.
GPA 3.7/4.0
Courses (in chronological order):
- CMSC634 - Empirical Research Methods for Computer Science, professor Dr. Vibha Sazawal
- CMSC752 Concrete Complexity, professor Dr. William Gasarch
- CMSC838K How to do Research, professor Dr. Steven Salzberg
- CMSC711 Computer Networks, professor Dr. Neil Spring
- CMSC724 Database Management Systems, professor Dr. Amol Deshpande
- CMSC734 Information Visualization, professor Dr. Ben Shneiderman
- CMSC737 Fundamentals of Software Testing, professor Dr. Atif Memon
- CMSC828X Nature Inspired Artificial Intelligence, professor Dr. James Reggia
- CMSC818G Information-Centric Design of Systems, professor Dr. Ashok Agrawala
- CMSC726 Machine Learning, professor: Dr. Lise Getoor
- CMSC838C Advanced Topics in Programming Languages: Social Computing, professor Dr. Ben Bederson
- CMSC838B Future of HCIL seminar, professors Dr. Jon Froelich, Dr. Leah Findlater and Dr. Ben Bederson
-
2012 Honorary Mention, HCIL Google Best Student Research Award.
-
2011 Master in Science in Computer Science, University of Maryland at College Park, Maryland USA. GPA 3.7/4.0
-
2008 Winner of the "International Science and Technology Scholarship for Outstanding Foreign Students " Fulbright Scholarship for PhD Studies. 32 recipients in the world.
-
2007 Master in "Enseñanza de la Matemática" (Teaching of Mathematics) . Universidad Tecnológica de Pereira, Pereira, Colombia. Thesis pending. GPA 4.5/5.0
-
2004 Jorge Roa Martínez Scholarship for master studies in the "Universidad Tecnológica de Pereira", for undergrad GPA over 4.5/5.0.
-
2004 Bachelor in "Ingeniería de Sistemas y Computación" (Computer Science Colombian equivalent). Universidad Tecnológica de Pereira. Five years program. GPA 4.64/5.0. Honored Thesis: "Proyecto IRIS, un periférico para que personas con limitaciones visuales puedan sentir imágenes por medio del tacto" (IRIS Project, a system to allow blind people to feel images with their touch).
-
1997 Best student of the class, High School 1997. "Colegio de la Salle Pereira".
Best score in the school in the government standardized tests (ICFES) 348/400.
Languages
-
English
Proficiency in reading, writing and speaking.
TOEFL (CBT) 240/300, July 14 2006
GRE General Exam Verbal 410 34%, Quantitative 750 82%, Analytical 3.0 7%
Experience
-
2016-Now Researcher and Lecturer at Los Andes University. Conducting research on network and photo visualization and accessibility. Redesigned and tough the Visual Analytics and Web Development classes.
-
2017-Now Remote Lecturer at Berkeley's online Master in Data Sciece. Teaching W209 Data Communication and Visualization.
-
2015-2016 Research Scientist at Yahoo Labs. Conducting research on information visualization techniques to facilitate the exploration of big photo respositories.
-
20013-2014 Research Scientist at PARC. Lead the information visualization research effort Theory and Technology for Agile Organizations in the Intelligent Systems Lab, under the management of Dr. Marc Stefik. Develooped visual analytics systems for social network analysis and fraud waste and abuse.
-
2011-2013 Research Assistant, Center for Advanced Transportation Technology laboratory, CATT Lab, under the supervision of Michael L. Pack (PackML[-at-]umd.edu) University of Maryland at College Park, Maryland, USA.
-
2010-2011 Research Assistant, Human Computer Interaction Lab, under the supervision of Catherine Plaisant (plaisant[-at-]cs.umd.edu.co) and Ben Shneiderman (ben[-at-]cs.umd.edu) University of Maryland at College Park, Maryland, USA.
-
2008-2010 Teaching Assistant, Computer Science Department University of Maryland at College Park, Maryland, USA.
Courses (in chronological order):
- CMSC421 Introduction to Arti#cial Intelligence, professor Dr. Dana Nau
- CMSC330 Organization of Programming Languages, professor Dr. Vibha Sazawal
- CMSC451 Design and Analysis of Computer Algorithms, professor Dr. Carl Kingsford
- CMSC433 Programming Language Technologies and Paradigms, professor Dr. Bill Pugh
-
2004-2011 Chief Software Developer DUTO, Parquesoft Pereira, Colombia. Co founder. Developer of the IRIS software. In charge of the networking of the company. Oficial speaker. Server admin.
Some distinctions of the company:
2011 Recognized by "Risaralda Emprende" a project of the Risaralda's Governement, for the contribution to the entrepreneurism in the region.
2010 Winners Inter American Development Bank's call for projects: "A world of solutions", with a project for US$50.000 to implement the IRIS system.
Featured in the book "Young World Rising" by Rob Salkowitz.
Recognized by the Colombian association of SMEs ACOPI, and Pereira's government council
Pilot test implementation project for US$40.000 (approx.) with Pereira's local government.
Featured in the book "Historias de Superación y Éxito" by Universia a network of universities in Spanish speaking countries.
2008 Sale of 10 IRIS devices to Pereira's local government.
Winners TIC Americas Entrepreneur Superstar, from the Young Americas Business Trust of the Organization of American States.
2007 Winners BiD Challenge Colombia.
Winners Global Young Social Entrepreneurs Competition, in Malaysa.
Winners VENTURES 2007, Colombia's biggest and most important business plan competition, in the categories general and best exporting potential.
Recognized with the "Orden del Mérito Empresarial" from the Risaralda's government (State level equivalent), and the "Cruz de Los Fundadores" the most important recognition given by the Pereira's local government.
Winners of The Best Social Entrepreneurship Award in the GLOBAL TiC 2007 competition in Taiwan.
Winners of the Social Entrepreneurship Award in the TIC Americas 2007 competition from the Young Americas Business Trust from the Organization of American States, in Panamá.
2006 Winner "Agentes de Cambio" from the MTV network, the Interamerican Development Bank and Ashoka.
2005 First place in the national call for projects "Call 021" of 2005 from the governmental organization SENA, with a project for US$90.000 (approx.)
-
2007-2008 Chief Software Developer Keb Solutions. Co founder. Leader developer and trainer in Ruby on Rails.
-
2005-2007 Full time computer science undergrad Teacher. Universidad Tecnológica de Pereira, Pereira, ColombiaCourses: Client/Server Arquitecture, Software Engineering Lab, Operative Systems I and II, Logic, Programming II, Informatics, and Introduction to the Informatics. Creator of the research groups: PYROX, Pyragua and PULPA
-
2005 Chief Systems' Division. "XV Juegos Bolivarianos" Pereira - Armenia - Cartagena. Regional Olimpic Games.
Publications and Presentations
-
2017 John A. Guerra-Gomez, Peter Salz, Shah Rukh Humayoun, Diana Fernandez, Klaus Madlener, Hans Hagen, José T. Hernandez
Good practices learned from designing a more interactive project based visual analytics course, In Proceedings of 6th International Research Symposium on Problem Based Learning, Bogotá, Colombia, July 2017.
-
2017 Sergio Cabrero, Jack Jansen, Thomas Roggla, John Alexis Guerra-Gomez, David A. Shamma, and Pablo Cesar, "CWI-ADE2016 Dataset: Sensing nightclubs through 40 million BLE packets", in Proceedings of the ACM Multimedia Systems Conference (ACM MMsys 2017), Taiwan, June 20-23.
-
2017 John Alexis Guerra-Gomez, María Fernanda Zúñiga Zabala, "BTactile: the place to find tactile graphics and to learn how to create them", Presented at the 32nd CSUN Assistive Technology Conference, San Diego, March 2017.
-
2016 Frank Bentley, Joseph ‘Jofish’ Kaye, David A. Shamma, John Alexis Guerra Gómez, "The 32 Days Of Christmas: Understanding Temporal Intent in Image Search Queries". CHI 2016: ACM Conference on Human Factors in Computing Systems [To Appear]
-
2016 Sanjay Kairam, Jofish Kaye, John Alexis Guerra Gómez, David Ayman Shamma, "Snap Decisions? How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors". CHI 2016: ACM Conference on Human Factors in Computing Systems [To Appear]
-
2013 John Alexis Guerra Gómez, Audra Buck-Coleman, Catherine Plaisant, Ben Shneiderman. "TreeVersity: Interactive Visualizations for Comparing Hierarchical Datasets". In Proceedings of the Transportation Research Board 92th annual meeting, The National Academies, Washington, DC (2013).
-
2012 John Alexis Guerra Gómez, Audra Buck-Coleman, Catherine Plaisant, Ben Shneiderman. "TreeVersity: Visualizing Hierarchical Data for Value with Topology Changes", Design Research Society Conference Bangkok 2012.
-
2012 John Alexis Guerra Gómez, Audra Buck-Coleman, Catherine Plaisant, Ben Shneiderman. "TreeVersity: Interactive Visualizations for Comparing Two Trees with Structure and Node Value Changes". HCIL Tech Report 2012-04 (April 2012)
-
2011 John Alexis Guerra Gómez, "MySocialTree: Browsing the Facebook Feed using hierarchies". HCIL Technical Report (December 2011).
-
2011 John Alexis Guerra Gómez, Audra Buck-Coleman, Catherine Plaisant, Ben Shneiderman. "Interactive Visualizations for Comparing Two Trees With Structure and Node Value Changes". HCIL Technical Report (October 2011).
-
2011 John Alexis Guerra Gómez, Audra Buck-Coleman, Catherine Plaisant, Ben Shneiderman, "TreeVersity: Comparing Tree Structures by Topology and Node's Attributes Differences", Peer reviewed poster in IEEE VisWeek 2011.
-
2011 John Alexis Guerra Gómez, "TreeVersity: Comparing Tree Structures by Topology and Node's Attributes Differences", participation in the Doctoral Colloquium, IEEE VisWeek 2011.
-
2011 John Alexis Guerra Gómez, Catherine Plaisant, Ben Shneiderman. "TreeVersity: Comparing Tree Structures by Topology and Node Attribute Values". Presentation at the HCIL Symposium, May 2011.
-
2011 John Alexis Guerra Gómez. "Visualization temporal events in traffic incidents". Guest presenter at the 6th International Symposium on Visualization in Transportation (August 2011)
-
2011 John Alexis Guerra Gómez, Krist Wongsuphasawat, Taowei David Wang, Michael Pack and Catherine Plaisant. "Analyzing Incident Management Event Sequences with Interactive Visualization ". In Proceedings of the Transportation Research Board 90th annual meeting, The National Academies, Washington, DC (2011).
-
2011 KristWongsuphasawat, John Alexis Guerra Gómez, Catherine Plaisant, Taowei DavidWang, Meirav TaiebMaimon and Ben Shneiderman. “LifeFlow: Visualizing an Overview of Event Sequences”. In Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems (CHI'11), 1747-1756.
-
2007 Hernandez Niño, David. Echeverry Silva, Tulio. Guerra Gómez, John Alexis. "Ear un software de entrenamiento auditivo musical " (Ear a musical auditive training software). Scientia et Technica Magazine. Universidad Tecnológica de Pereira. Year XV, Edition 41.
-
2005 Marin Ospina, Myriam. Martín Bedoya, Ruth Andrea. Guerra Gómez, John Alexis. "Modelo de solución de enrutamiento de datos a bajo costo basado en software libre " (Low cost routing solution model based on free software). Scientia et Technica Magazine. Universidad Tecnológica de Pereira. Year XII, Edition 32.
-
2005 Zúñiga Zabala, María Fernanda. Restrepo Calle, Felipe. Guerra Gómez, John Alexis. "Proyecto IRIS ". Scientia et Technica Magazine. Universidad Tecnológica de Pereira. Year XI, Edition 28.
-
2004 Guerra Gómez, John Alexis. Zúñiga Zabala, María Fernanda. Restrepo Calle, Felipe. "El gusano genético" (The genetic snake). Congreso de Seguridad en Cómputo e Inteligencia Artificial (Computing security and AI workshop). Universidad Tecnológica de Pereira. ISBN: 958-8272-02-5.
Patents
-
2012 Main author Colombian Software Registration 13-34-484 "IRIS version 1.0", registered on October 9th 2012.
-
2011 Main author Colombian Software Registration 13-28-205 "IRIS version 3.0", registered on March 2nd 2011.
-
2007 USA Patent application number<PHONE_NUMBER>6. System for the perception of images through touch. Registered in April 2006 (Abandoned).
-
2006 International patent registration PCT/IB2006/001502 System for the perception of images with touch. In process with the WIPO (World Intellectual Property Organization) since June 2006.
-
2006 Colombian "IRIS" Trademark registration, class 9 valid from December 22nd 2008 through 2018.
-
2005 Colombian Patent No. 05-037765 "Sistema para la percepción de imágenes por medio del tacto por medio de un guante de imanes" (System for the perception of images by means of touch using a glove of magnets). Resolution 18963 of April 5 2011. Authors: María Fernanda Zúñiga Zabala, John Alexis Guerra Gómez and Felipe Restrepo Calle


Testing.
See the Testing guide.
Note: tf.compat.v1.test.mock
is an alias to the python mock
or
unittest.mock
depending on the python version.
class Benchmark
: Abstract class that provides helpers for TensorFlow benchmarks.
class TestCase
: Base class for tests that need to test TensorFlow.
assert_equal_graph_def(...)
: Asserts that two GraphDef
s are (mostly) the same.
benchmark_config(...)
: Returns a tf.compat.v1.ConfigProto for disabling the dependency optimizer.
compute_gradient(...)
: Computes the theoretical and numeric Jacobian of f
.
create_local_cluster(...)
: Create and start local servers and return the associated Server
objects.
gpu_device_name(...)
: Returns the name of a GPU device if available or the empty string.
is_built_with_cuda(...)
: Returns whether TensorFlow was built with CUDA (GPU) support.
is_built_with_gpu_support(...)
: Returns whether TensorFlow was built with GPU (i.e. CUDA or ROCm) support.
is_built_with_rocm(...)
: Returns whether TensorFlow was built with ROCm (GPU) support.
is_gpu_available(...)
: Returns whether TensorFlow can access a GPU.
main(...)
: Runs all unit tests.


greybax/cyrillic-to-translit-js
Simple javascript function for converting Cyrillic symbols to Translit
Presets
Russian
Ukrainian
Space replacement
Follow @greybax
Star
Fork


Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents info PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
| Version: | 2.0 |
| Imports: | Rcpp (≥ 0.12.12) |
| LinkingTo: | Rcpp |
| Suggests: | jpeg, png, webp, testthat |
| Published: | 2018-12-11 |
| Author: | Jeroen Ooms [aut, cre] |
| Maintainer: | Jeroen Ooms <jeroen at berkeley.edu> |
| BugReports: | https://github.com/ropensci/pdftools/issues |
| License: | MIT + file LICENSE |
| URL: | https://ropensci.org/blog/2016/03/01/pdftools-and-jeroen (blog) https://github.com/ropensci/pdftools#readme (devel) https://poppler.freedesktop.org (upstream) |
| NeedsCompilation: | yes |
| SystemRequirements: | Poppler C++ API: libpoppler-cpp-dev (deb) or poppler-cpp-devel (rpm). The unit tests also require the 'poppler-data' package (rpm/deb) |
| Materials: | NEWS |
| CRAN checks: | pdftools results |
| Reference manual: | pdftools.pdf |
| Package source: | pdftools_2.0.tar.gz |
| Windows binaries: | r-devel: pdftools_2.0.zip, r-release: pdftools_2.0.zip, r-oldrel: pdftools_2.0.zip |
| OS X binaries: | r-release: pdftools_2.0.tgz, r-oldrel: pdftools_2.0.tgz |
| Old sources: | pdftools archive |
| Reverse imports: | crminer, findR, fulltext, pdfsearch, rcoreoa, readtext, tesseract, textreadr |
| Reverse suggests: | goldi, gridGraphics, hunspell, magick, spelling, staplr, tm |
Please use the canonical form https://CRAN.R-project.org/package=pdftools to link to this page.


Download SDK
Dynamsoft
/
Dynamsoft Camera SDK
/
Code Gallery
/
Image Upload
This sample demonstrates how to upload images grabbed from camera in a web application.
Grab
File Name:
BMP
JPEG
TIFF
PNG
PDF
Muti-Page TIFF
Muti-Page PDF
Upload
Uploaded images
Initiating...


{include file="public/include"}
{include file="public/head"}
亲爱的用户
{$msg}
页面自动
跳转
等待时间：
{include file="public/foot"}