library(table.glue) library(dplyr, warn.conflicts = FALSE) library(tidyr, warn.conflicts = FALSE) library(tibble) library(gt, warn.conflicts = FALSE)
This vignette shows how to go from data to table using table.glue
and friends. For this vignette, we will analyze data from The US National Health and Nutrition Examination Survey (NHANES), 2013-2018.
NHANES was designed to assess the health and nutritional status of the non-institutionalized US population and was conducted by the National Center for Health Statistics of the Centers for Disease Control and Prevention. Since 1999-2000, NHANES has been conducted in two-year cycles using a multistage probability sampling design to select participants. Each cycle is independent with different participants recruited.
The same protocol was followed to measure systolic and diastolic blood pressure (SBP and DBP) in each NHANES cycle. After survey participants had rested 5 minutes, their BP was measured by a trained physician using a mercury sphygmomanometer and an appropriately sized cuff. Three BP measurements were obtained at 30 second intervals.
# see ?table.glue::nhanes for description of all columns glimpse(nhanes) #> Rows: 29,400 #> Columns: 17 #> $ exam <chr> "exam_2013_2014", "exam_2013_2014", "exam_2013_2014"... #> $ seqn <dbl> 73557, 73558, 73559, 73560, 73561, 73562, 73563, 735... #> $ psu <dbl> 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 2, 1, 2, 1, 2, 2, 2... #> $ strata <dbl> 112, 108, 109, 109, 116, 111, 105, 114, 106, 112, 11... #> $ wts_mec_2yr <dbl> 13481.042, 24471.770, 57193.285, 55766.512, 65541.87... #> $ exam_status <chr> "interview and exam", "interview and exam", "intervi... #> $ age <dbl> 69, 54, 72, 9, 73, 56, 0, 61, 42, 56, 65, 26, 0, 9, ... #> $ sex <chr> "male", "male", "male", "male", "female", "male", "m... #> $ race_ethnicity <chr> "black", "white", "white", "white", "white", "hispan... #> $ education <fct> highschool_or_some_college, highschool_or_some_colle... #> $ pregnant <chr> "no", "no", "no", "no", NA, "no", "no", NA, "no", NA... #> $ bp_sys_mmhg <dbl> 112.66667, 157.33333, 142.00000, 104.66667, 137.3333... #> $ bp_dia_mmhg <dbl> 74.00000, 61.33333, 82.00000, 36.66667, 86.66667, 82... #> $ n_msr_sbp <int> 3, 3, 3, 3, 3, 3, 0, 3, NA, 3, 3, 3, NA, 3, 3, 3, 3,... #> $ n_msr_dbp <int> 3, 3, 3, 3, 3, 3, 0, 3, NA, 3, 3, 3, NA, 3, 3, 3, 3,... #> $ bp_high_aware <chr> "yes", "yes", "yes", NA, "yes", "yes", NA, "yes", "n... #> $ meds_bp <chr> "no", "no", "yes", NA, "yes", "yes", NA, "no", "no",...
We will make a table showing SBP and DBP for subgroups based on sex and race over the three NHANES cycles in nhanes
. But first need to filter to include rows where the survey participant
completed both the NHANES interview and exam
is 20 years or older
is not pregnant
is currently using medication to lower their BP
does not have missing data for SBP or DBP
nhanes_analysis <- nhanes %>% filter(exam_status == 'interview and exam', age >= 20, pregnant == 'no' | is.na(pregnant), meds_bp == 'yes') %>% select(exam, sex, race_ethnicity, bp_sys_mmhg, bp_dia_mmhg) %>% na.omit() nhanes_analysis #> # A tibble: 4,412 x 5 #> exam sex race_ethnicity bp_sys_mmhg bp_dia_mmhg #> <chr> <chr> <chr> <dbl> <dbl> #> 1 exam_2013_2014 male white 142 82 #> 2 exam_2013_2014 female white 137. 86.7 #> 3 exam_2013_2014 male hispanic 157. 82 #> 4 exam_2013_2014 male white 127. 66.7 #> 5 exam_2013_2014 female black 127. 74 #> 6 exam_2013_2014 female other 141. 57.3 #> 7 exam_2013_2014 female black 160 71.3 #> 8 exam_2013_2014 male white 109. 53.3 #> 9 exam_2013_2014 female white 140 82.7 #> 10 exam_2013_2014 female other 140 50 #> # ... with 4,402 more rows
For each NHANES exam and sex/race/ethnicity group, we would like to compute the mean and standard deviation of BP.  This is where table.glue
comes into the picture.
rspec <- round_spec() %>% round_half_even() %>% round_using_magnitude( digits = c(2, 1, 1, 0), breaks = c(1, 10, 100, Inf) ) nhanes_bp_strings <- ungroup(nhanes_bp_summary) %>% transmute( exam, sex, race_ethnicity, sbp = table_glue("{bp_sys_mmhg_mean} ({bp_sys_mmhg_sd})", rspec=rspec), dbp = table_glue("{bp_dia_mmhg_mean} ({bp_dia_mmhg_sd})", rspec=rspec) )
Making a table out of nhanes_tbl_strings
is fairly straightforward, but does require a fair bit of code to recode variables and label things.
nhanes_bp_table <- nhanes_bp_strings %>% mutate( race_ethnicity = recode( race_ethnicity, 'hispanic' = "Mexican American", 'asian' = "Non-Hispanic Asian", 'black' = "Non-Hispanic Black", 'white' = "Non-Hispanic White", 'other' = "Other Race - Including Multi-Racial" ), sex = recode( sex, 'female' = 'Female survey participants', 'male' = 'Male survey participants' ), exam = recode( exam, 'exam_2013_2014' = '2013-2014', 'exam_2015_2016' = '2015-2016', 'exam_2017_2018' = '2017-2018' ) ) %>% pivot_wider(names_from = 'exam', values_from = c('sbp', 'dbp')) %>% gt(rowname_col = 'race_ethnicity', groupname_col = 'sex') %>% cols_label( "sbp_2013-2014" = "2013-2014", "sbp_2015-2016" = "2015-2016", "sbp_2017-2018" = "2017-2018", "dbp_2013-2014" = "2013-2014", "dbp_2015-2016" = "2015-2016", "dbp_2017-2018" = "2017-2018" ) %>% cols_align('center') %>% tab_stubhead(label = 'Race / ethnicity') %>% tab_spanner(label = 'Systolic BP, mm Hg', columns = c("sbp_2013-2014", "sbp_2015-2016", "sbp_2017-2018")) %>% tab_spanner(label = 'Diastolic BP, mm Hg', columns = c("dbp_2013-2014", "dbp_2015-2016", "dbp_2017-2018")) %>% tab_header( title = "Systolic and diastolic blood pressure for female and male participants in the US National Health and Nutrition Examination Survey from 2013 - 2018", subtitle = "Table values are mean (standard deviation)" ) nhanes_bp_table
| Systolic and diastolic blood pressure for female and male participants in the US National Health and Nutrition Examination Survey from 2013 - 2018 | ||||||
|---|---|---|---|---|---|---|
| Table values are mean (standard deviation) | ||||||
| Race / ethnicity | Systolic BP, mm Hg | Diastolic BP, mm Hg | ||||
| 2013-2014 | 2015-2016 | 2017-2018 | 2013-2014 | 2015-2016 | 2017-2018 | |
| Female survey participants | ||||||
| Non-Hispanic Asian | 134 (16.1) | 137 (17.9) | 139 (19.0) | 73.1 (10.7) | 72.3 (12.2) | 74.4 (10.3) |
| Non-Hispanic Black | 137 (19.8) | 136 (19.1) | 141 (22.0) | 70.1 (13.3) | 71.0 (15.1) | 73.9 (12.7) |
| Mexican American | 134 (23.1) | 133 (16.8) | 142 (19.7) | 69.9 (13.3) | 67.7 (10.8) | 72.4 (11.5) |
| Other Race - Including Multi-Racial | 133 (21.2) | 137 (21.9) | 139 (21.2) | 70.7 (11.5) | 67.3 (12.3) | 71.3 (13.6) |
| Non-Hispanic White | 131 (19.5) | 135 (21.8) | 137 (21.3) | 67.1 (11.8) | 67.9 (11.7) | 69.1 (15.0) |
| Male survey participants | ||||||
| Non-Hispanic Asian | 134 (14.7) | 137 (20.4) | 133 (21.4) | 73.2 (11.3) | 71.9 (13.3) | 74.3 (13.1) |
| Non-Hispanic Black | 133 (19.0) | 139 (21.0) | 137 (20.2) | 72.6 (12.8) | 74.1 (13.3) | 77.6 (12.5) |
| Mexican American | 133 (17.2) | 136 (16.8) | 134 (19.9) | 71.7 (12.1) | 68.9 (12.5) | 73.2 (11.2) |
| Other Race - Including Multi-Racial | 132 (15.9) | 133 (15.5) | 133 (19.1) | 72.6 (11.6) | 71.3 (13.2) | 76.9 (12.5) |
| Non-Hispanic White | 129 (20.2) | 132 (19.1) | 133 (18.0) | 69.6 (13.3) | 68.6 (12.0) | 71.4 (11.7) |
Now we just need to summarize the table, which can be done using an inline table object. Just like the table, our inline object is created using nhanes_bp_strings
nhanes_bp_inline <- nhanes_bp_strings %>% as_inline(tbl_variables = c('exam', 'sex', 'race_ethnicity'), tbl_value = c('sbp', 'dbp')) # Now you can freely access any cell in the table nhanes_bp_inline$exam_2013_2014$male$black$sbp #> [1] "133 (19.0)" nhanes_bp_inline$exam_2017_2018$male$black$sbp #> [1] "137 (20.2)"
This part is easy: “Among survey participants who were black and female, the mean (standard deviation) of systolic blood pressure increased from 137 (19.8) in 2013-2014 to 141 (22.0) in 2017-2018.”
But what if you don’t want to report the standard deviations? These are helpful in the table but less so in the text. To get rid of these, you can use the bracket helper functions, e.g., bracket_drop()
and bracket_extract()
.
# Drop the bracket bracket_drop(nhanes_bp_inline$exam_2013_2014$male$black$sbp) #> [1] "133" # Get the bracket bracket_extract(nhanes_bp_inline$exam_2017_2018$male$black$sbp) #> [1] "(20.2)"
Let’s re-write our sentence more directly: “Among survey participants who were black and female, the mean systolic blood pressure increased from 137 mm Hg in 2013-2014 to 141 mm Hg in 2017-2018.”


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{% extends "bootstrap/base.html" %} {% set active_page = "about" %} {% block head %} {{ super() }} {% endblock %} {% block title %}About{% endblock %} {% block content %} {% include "navbar.html" %}
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Create an issue for any feature requests, bugs found, etc. here: https://github.com/mdbloice/Labeller/issues


aetna
Businessmodel of Aetna
Customer Segments
Aetna sells a broad range of insurance products and related care services to a diverse customer base. The Company’s customers can be organised by the Company’s two core business segments, which serve different clients:
- Health Care, which provides products to employer groups, individuals, college students, part-time and hourly workers, health plans, governmental units, government-sponsored plans, labour groups and expatriates; and
- Group Insurance, which provides products and services to a range of commercial entities, form small employer groups to large, multi-site and or multi-state employer programs. Aetna serves customers principally in the US, with its Health Care segment offering certain products in a small number of countries outside the US. The Company offers group insurance products in 49 US states as well as Washington DC, Guam, Puerto Rico, the US Virgin Islands and Canada.
Value Propositions
Aetna provides value to its clients in the following ways:
- Its industry standing and reputation, with the Company established as well-known and well-regarded insurance provider in the US, having a track record for providing reliable and effective products and services;
- Its broad range of products, with the Company offering a broad range of insurance products – including life insurance, disability insurance, and long-term care insurance – as well as various complementary products and services to both individuals and employers;
- Its regional sales reach, with the Company serving customers across all but one of the US’s 50 states, as well as in territories such as Guam and Puerto Rico, and international jurisdictions such as Canada;
- Its accessibility, with the Company operating a multi-channel distribution system, employing a network of independent brokers and intermediaries, as well as offering certain online services; and
- Its industry expertise and experience, with the Copan employing specialist insurance professionals, as well as experienced industry executives. ### Channels
Aetna operates a website at www.aetna.com, through which it provides information on its various products, services, and markets. The Company enables customers to shop for plans directly through its website, with sales ultimately agreed through authorised individuals. It also operates an online customer portal, through which clients can manage their plans, make payments, and place claims.
Aetna sells many of its products through an in-house direct sales force, which operates out of the Company’s network of sales and administrative offices across the US. The Company also sells its health care and group insurance products through various third-party intermediaries and channels, including independent brokers, agents and consultants who assist in the production and servicing of business, Public Exchanges, and Private Exchanges.
Aetna pays commissions, fees and other amounts to its brokers, agents, consultants and sales representatives. The Company supports its sales and marketing operations with a multi-channel advertising program that includes direct marketing, television, radio, billboards, print media and social media.
Customer Relationships
Aetna offers a range of products and services to its customers on a self-service basis, both directly through its website and via its online customer portal. These channels allow customers to manage their coverage plans, make payments, and access resources without interacting directly with members of the Company’s sales and support teams.
Aetna operates its own direct sales force, which works closely with customers in order to ensure that each client receives the appropriate coverage for their individual circumstances. The Company’s network of independent agents and brokers also consult directly with customers, with independent consultants and brokers frequently involved in employer health plan selection decisions and sales for large plan sponsors.
Aetna provides ongoing support to its customers. This includes a range of online resources, such as FAQs, and coverage information, as well as personalised customer assistance through its dedicated customer support personnel. These employees will assist clients with claims, queries, and enquiries.
Additionally, customers are able to follow the Company’s activities, and interact with it directly, through its social media accounts, including with Facebook, Twitter, YouTube, LinkedIn, and Tumblr.
Key Activities
Aetna is a diversified healthcare benefits company and insurance provider.
It aligns its operations into three reportable business segments: Health Care, which provides a range of medical, pharmacy benefit management services, dental, behavioural health and vision plans, as well as complementary services such as accountable care solutions; Group Insurance, which provides life insurance, disability insurance, and long-term care insurance products; and Large Case Pensions, which manages a range of retirement products, including pension and annuity products, primarily for tax-qualified pension plans.
The Company serves a broad customer base, including employer groups, individuals, college students, part-time and hourly workers, health plans, healthcare providers, government-sponsored plans, labour groups, and expatriates.
Key Partners
Aetna works closely with a number of companies and organisations in order to provide its clients with efficient and effective services. These partners can be organised broadly as follows:
- Supplier and Vendor Partners, comprising suppliers of various services, technologies, equipment, and tools that are used across the Company’s operating segments, as well as companies to which certain functions can be outsourced;
- Channel and Distribution Partners, comprising the Company’s network of intermediaries and third parties, including brokers, agents, and consultants, that provide services on the Company’s behalf;
- Community and Social Partners, comprising various non-profits and charitable organisations with which the Company collaborates on community and social projects, primarily in the US; and
- Strategic and Alliance Partners, comprising market-leading companies from a range of sectors, with which the Company collaborates on certain joint projects, including marketing and branding projects. Aetna has a number of partnerships in place. This includes an information technology partnership with Infosys, a partnership with Banner health to improve care and reduce costs, and a tie-up with Inova to develop innovative products and services.
Key Resources
Aetna’s key resources are its intellectual properties and products, its online platform, its IT and communications infrastructure, its network of intermediaries and independent agents, its partners, and its personnel.
Aetna owns a number of trademarks and patents that are used in the provision of its various products and services, including trademarks such as Aetna Navigator, ActiveHealth, bswift, CareEngine, Coventry, and DocFind. Searches of records published by the US Patent and Trademark Office identified one patent application filed in Aetna’s name: ‘Computer display for a server maintenance tool graphical user interface’.
Aetna additionally owns and or leases a number of physical properties across the US. This principally includes the Company’s network of sales and administrative offices.
Cost Structure
Aetna incurs costs in relation to the development of its products and technologies, the maintenance of its IT and communications infrastructure, the development of its online platform, the settlement of claims and provision of health care, the implementation of marketing and advertising campaigns, the management of its partnerships and intermediaries, and the retention of its personnel.
In 2015 Aetna’s largest cost was its health care costs, which totalled $41.71 billion for the year. The Company also recorded selling costs in the amount of $1.49 billion, and general and administrative expenses of $9.77 billion.
Revenue Streams
Aetna generates revenue through the provision of various insurance products, as well as related products and services, such as accountable care solutions and pharmacy benefit management services. The Company principally derives revenue in the form of insurance premiums paid by its clients, but also in the form of service fees for its complementary services.
In 2015 Aetna generated total revenue of $57.56 billion, up slightly on the $55.11 billion recorded by the Company in 2014. This principally comprised revenue in the form of premiums, totalling $51.62 billion, of which $28.71 billion was attributed to commercial premiums, and $22.91 billion was attributed to government premiums.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 1
Dietary
For the crisp poppadoms, pour the oil into a large saucepan or deep fat fryer and heat until a small cube of bread turns golden in 30 seconds. (CAUTION: hot oil can be dangerous. Do not leave unattended.)
Carefully lower the poppadums into the hot oil and fry for 30 seconds or until crisp. Remove with a slotted spoon and drain on kitchen paper.
For the tomato chutney, heat the olive oil in a small saucepan, add the onion and fry gently for four minutes or until softened. Add the garlic and fry for one minute. Add the chopped tomato, brown sugar, chilli and red wine vinegar and simmer for 4-5 minutes. Stir in the herbs and season well with salt and freshly ground black pepper.
For the sautéed spinach, melt the butter in a large saucepan, add the spinach and wilt in the hot butter. Season well with salt and freshly ground black pepper. Drain off any excess water.
To serve, place one poppadum onto a serving plate, top with half the tomato chutney and sautéed spinach and then layer up with the rest of the crisp poppadoms, chutney and spinach to make a tower. Serve immediately.


I am a bachelor student of mechanical student at Iran University of Science and Technology (IUST). I am also very passionate about how the technology and our knowledge can alter the way we live.
GPA: 3.91
GPA: 19.54/20
Iran University of Science and Technology,Tehran, Iran
Iran University of Science and Technology,Tehran, Iran
Iran University of Science and Technology,Tehran, Iran
Iran University of Science and Technology,Tehran, Iran
Tehran, Iran
Tehran, Iran
Tehran, Iran
Developed a MATLAB code to make the CNT and imported it to ABAQUs to simulate the RVE of epoxy specimen reinforced by CNT and predict the viscoelastic behaviour by adjected micromechanical theorem like Hashin and Tsai Wu and the results were chcked by DMA experiment. This is a part of my BSc thesis sepervised by Prof. Shokrieh(professor of IUST) and Kazemirad(assistant professor in IUST).
Developed a program by C++ in order to read a truss structure from a text file and analise the deformation, stress, strain in every members of it. The code was validated by an ABAQUS simulation under the supervision of Dr. Bijan Mohammadi(associated professor in IUST).
A structure was built to support the mechanism and a code was developed by Arduino to run the mechanism. The mechanism was calibrated to be abale to get the input atitude(in a range) and throw a pingpong ball to reach that hight. The project was done in a team of 3 students and under the supervision of Dr.Borhan Beigzadeh (assistant professor in IUST).
It was a major part of our Engineering Design Course which it was done in a 4 member team and it consisted of preparing conceptual design, analytical design and detailed design. At the end of the semester the designed project was presented to the professor and student of the class. It was a good practice of real project and collaboration.
A code was developed in MATLAb using stream functions and the carectristic of flow was shown by tecplot software and the result verified by Ansys simulation. the project was under supervision of Dr.Siavashi(associated professor in IUST)
The experiment was simulted in c++ to show the procedure graphically on a pc. the project was done under supervision of Dr.Moghimi (assistant professor in IUST).
Designing and Building molds of Polymer concrete for water distillation slabs
Designing a drip irrigation system for a 3000-square-meter (about 3588-square-yard) garden incompassing about 300 fruit trees of several different kinds. choosing proper water pumps to deliver water to two tanks from a water well and to tress and sizing of pipes and etc. were involved in this project.
Apart from being a being a mechanical engineering student, I enjoy taking pictures very much. Finding this hobby intresting as I believe pictures are able to reflect our way of seeing the world.click to see some of my photoes (on website)
In warmmer and more free seasons like summers my friend and I enjoy playing soccer.


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I've got a scholarship to attend the Grace Hopper Celebration. See you there! Thanks @GHC https://t.co/EpGKEHUvuK
— Diana Diaz (@dianadiazh) September 5, 2018
I have been selected to participate in the CRA-W Grad Cohort for Women on April 13-14, 2018! #GradCohort2018 Thanks @CRAWomen! https://t.co/mzyDNSttdX pic.twitter.com/rZ4b9MKGbq
— DmD (@dianadiazh) February 5, 2018
Engineering students use LEGOs to engage young girls in Detroit with STEMhttps://t.co/PEjbXxL3aW
— Diana Diaz (@dianadiazh) September 8, 2018
The Wayne State University chapter of the Association for Computing Machinery-Women received a $7,000 grant from Ford Community Corps to teach young girls about computer science... pic.twitter.com/GHAIqFUATk
{{ recognition.summary }}
{{ job.summary }}
{{ education.summary }}
{{ skill.description }}


Announcements & News
$BALL Game - Expected Launch Date 2/24/19
Updates
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rstiefel: Random Orthonormal Matrix Generation and Optimization on the
Stiefel Manifold
Simulation of random orthonormal matrices from linear and quadratic exponential family distributions on the Stiefel manifold. The most general type of distribution covered is the matrix-variate Bingham-von Mises-Fisher distribution. Most of the simulation methods are presented in Hoff(2009) "Simulation of the Matrix Bingham-von Mises-Fisher Distribution, With Applications to Multivariate and Relational Data" <doi:10.1198/jcgs.2009.07177>. The package also includes functions for optimization on the Stiefel manifold based on algorithms described in Wen and Yin (2013) "A feasible method for optimization with orthogonality constraints" <doi:10.1007/s10107-012-0584-1>.
| Version: |
0.20 |
| Depends: |
R (≥ 2.10) |
| Published: |
2018-06-12 |
| Author: |
Peter Hoff and Alexander Franks |
| Maintainer: |
Peter Hoff <peter.hoff at duke.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| In views: |
Bayesian |
| CRAN checks: |
rstiefel results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=rstiefel
to link to this page.


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Alarm persalinan merupakan sebuah sistem infomasi yang mana sistem ini bisa memberikan alarm kepada bidan di area setempat jika ada ibu hamil yang diprediksi mendekati waktu kehamilan.
The number of items is limited in this block. Open the Block parameters to change the amount of items.
Mobirise Kit is a service that provides the access to all current and new themes/extensions developed by Mobirise. New themes/extensions are released every month and will be available in your account during your plan period, without any additional charge.
Yes, Mobirise is free for both non-profit and commercial sites.


|
Roxana Tapia Appfs
|
Functions | |
| def | read_file (filename) |
| def | is_valid (line) |
| def | aggregate_data (line) |
| def | compute_result () |
Variables | |
| int | LINES_COUNT = 0 |
| int | VALID_VALUES_LOC1 = 0 |
| int | LOG_SUM_LOC1 = 0 |
| int | VALID_VALUES_LOC2 = 0 |
| int | LOG_SUM_LOC2 = 0 |
| def | content = read_file(sys.argv[-1]) |
@package docstring Author: Roxana Tapia Campos Module: Advanced practical programming skills for scientists SS17 - TU Berlin Exercise 1: GeoMean
| def ex1.aggregate_data | ( | line | ) |
Aggregates line counts and logarithm calculations for locations 1 and 2. Checks if location is valid. :param line: A validated input line from the file.
| def ex1.compute_result | ( | ) |
Computes the geometric mean for locations 1 and 2 and displays the formatted result.
| def ex1.is_valid | ( | line | ) |
Returns True if the line is valid, False otherwise. :param line: A raw input line from the file. :rtype: Boolean
| def ex1.read_file | ( | filename | ) |
Reads a file, counts its lines and yields each line. :param filename: A filename from command line.


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Resolving an Object by Type
Unity provides a method named Resolve that you can use to resolve an object by type, and optionally by providing a registration name. Registrations that do not specify a name are referred to as default registrations. This topic describes how to use the Resolve method to resolve types and mappings registered as default registrations.
The Resolve Method Overloads for Default Registrations
The following table describes the overloads of the Resolve method that return instances of objects based on the default registrations and mappings with the container. The API for the Unity container contains both generic and non-generic overloads of this method so that you can use it with languages that do not support the generics syntax.
| Method | Description |
|---|---|
Resolve<T>() |
Returns an instance of the type registered with the default name as the type T. |
Resolve(Type t) |
Returns an instance of the default type registered with the container as the type t. |
Resolve<T>(string name) |
Returns an instance of the type registered with the container as the type T and with the specified name. Names are case sensitive. |
Resolve(Type t, string name) |
Returns an instance of the type registered with the container as the type t and with the specified name. Names are case sensitive. |
Using the Resolve Method with Default Registrations
The following examples show how you can use the Resolve method to create or obtain a reference to an object defined in the container configuration. Typically you will register a type mapping between an interface and a concrete type that implements it, or between a base class and a concrete type that inherits it. The examples use the run-time methods of the container to register the types it will resolve.
Resolving Types Registered as Interfaces
The following code registers a mapping for an interface named IService and specifies that the container should return an instance of the CustomerService class (which implements the IService interface). In this case, the type IService identifies the registration type. Code that requests an instance of the type IService receives an instance of the CustomerService class. The following example uses the generic overloads of the container methods.
IUnityContainer container = new UnityContainer();
container.RegisterType<IService, CustomerService>();
var instance = container.Resolve<IService>();
Alternatively, you can use the non-generic overloads of the methods. The following code achieves the same result.
IUnityContainer container = new UnityContainer();
container.RegisterType<IService, CustomerService>();
var instance = (IService)container.Resolve(typeof(IMyService));
Resolving Types Registered as Base Classes
When you need to register a mapping for a base class or other object type (instead of an interface), you use the overloads of the RegisterType and Resolve methods that accept object type names. The following examples show the use of the overloads of the RegisterType and Resolve methods that accept object type names as the registration identifier.
The following code registers a mapping for an object named MyBaseService and specifies that the container should return an instance of the CustomerService class (which inherits from the MyBaseService class). In this case, the type MyBaseService identifies the registration. Code that requests an instance of the type MyBaseService receives an instance of the CustomerService class.
IUnityContainer myContainer = new UnityContainer();
myContainer.RegisterType<MyBaseService, CustomerService>();
MyBaseService myServiceInstance = myContainer.Resolve<MyBaseService>();
Alternatively, you can use the non-generic overloads of the methods. The following code achieves the same result.
IUnityContainer myContainer = new UnityContainer();
myContainer.RegisterType(typeof(MyBaseService), typeof(CustomerService));
MyBaseService myServiceInstance = (MyBaseService)myContainer.Resolve(typeof(MyBaseService));
Using the Resolve Method with Named Registrations
If you need to create multiple registrations for the same type, you can specify a name to differentiate each registration. Then, to retrieve an object of the appropriate type, you specify the name and the registered type. Following examples demonstrate the technique:
IUnityContainer container = new UnityContainer();
container.RegisterType<IService, CustomerService>();
container.RegisterType<IService, CompanyService>("name");
container.RegisterType<IService, ExternalService>("other name");
var instance = container.Resolve<IService>("name");
Alternatively, you can use the non-generic overloads of the methods. The following code achieves the same result.
IUnityContainer container = new UnityContainer();
container.RegisterType<IService, EmailService>();
container.RegisterType<IService, LDAPService>("name");
container.RegisterType<IService, CustomerService>("other name");
var instance = (IService)container.Resolve(typeof(IMyService), "other name");
Note
If the target class or object specifies any dependencies of its own, using constructor, property, or method call injection attributes, the instance returned will have these dependent objects injected automatically.
By default, the RegisterType method registers a type with a transient lifetime, which means that the container will not hold onto a reference to the objects it creates when you call the Resolve method. Each time you call one of these methods, the container generates a new instance of the specified or mapped type. However, you can use lifetime managers to control the creation, lifetime, and disposal of objects if required.


someone who bought my KMD at 36k will sell it back at 23
Funkyball13-Mar-19 04:21 AM
Wow thats unreal. The one mornijg i sleep in to 11am haha
Buying at 125k i can't imagine who would be doing that
dxer66613-Mar-19 04:28 AM
Alecandro13-Mar-19 04:29 AM
my god 3300 btc volume
3000 of that was from the last 3 hours
1
Markus13-Mar-19 04:31 AM
oh well that was fun, 2 btc profit on the day
Alecandro13-Mar-19 04:32 AM
nice bro!!!
Sdunbar13-Mar-19 04:33 AM
just slipped under 31k on binance
back to 23? maybe lol
Alexfrog13-Mar-19 04:33 AM
yup
actionslacks13-Mar-19 04:33 AM
now there's probably a lot more people with their kmd on exchanges. be a good time to mention the 5% rewards on twitter and get some more wallets out there
Alexfrog13-Mar-19 04:33 AM
whoever dumped pirate for kmd on digitalprice will be sad lol
Markus13-Mar-19 04:34 AM
if we retrace to 27k or so....that would be really nice
Sdunbar13-Mar-19 04:34 AM
id be fine with 27k
not sure it will get that though
Alexfrog13-Mar-19 04:34 AM
my order is in in the 23s
Sdunbar13-Mar-19 04:34 AM
even 25k is okay lol
Alexfrog13-Mar-19 04:34 AM
gonna calculate how many free KMD ill be getting from that
Alecandro13-Mar-19 04:34 AM
yea good idea mna
Markus13-Mar-19 04:35 AM
i sadly missed out on some profits due to long confirmation time
that rly sux
Alecandro13-Mar-19 04:36 AM
yea 120 confs is ridiculous(edited)
Markus13-Mar-19 04:36 AM
took over 2 hour to get it deposited
i literally deposited right when i saw it starting to rally
Alecandro13-Mar-19 04:37 AM
its like they want you to store on exchanges for easy access lol
woahhhh
Markus13-Mar-19 04:37 AM
31k on huobi now
hehe
probably 25k in a couple of hours
last time huobi fucked us
Alexfrog13-Mar-19 04:40 AM
huobi under binance lol
Alecandro13-Mar-19 04:42 AM
@Alexfrog you think we have one more dead cat bounce before we drop back down to the mid 20's?
Alexfrog13-Mar-19 04:42 AM
no idea
Funkyball13-Mar-19 04:43 AM
31k is the decider
Alexfrog13-Mar-19 04:43 AM
we are at the short term moving average on the 30 min, so if it happens it could be here
Markus13-Mar-19 04:43 AM
think we will see a selloff when ppl from europe wake up
Alexfrog13-Mar-19 04:44 AM
if it bounces a lot, sell more to buy in the 20s
probably
Markus13-Mar-19 04:48 AM
look at the volume tho
7660 btc on CMC
Alecandro13-Mar-19 04:50 AM
lordy that's a lot of kmd
Alexfrog13-Mar-19 04:52 AM
nope, down
Markus13-Mar-19 04:52 AM
under 30k
Funkyball13-Mar-19 04:52 AM
down it is lol
Markus13-Mar-19 04:52 AM
29k on huobi
dxer66613-Mar-19 04:52 AM
19281 orders on bittrex always on
both side
Alexfrog13-Mar-19 04:53 AM
soon those people who bought the top will be selling back to us all in the low 20s lol
Markus13-Mar-19 04:53 AM
i gladly take their stack at 23k
Alecandro13-Mar-19 04:53 AM
yup pretty much
Alexfrog13-Mar-19 04:53 AM
so that they can go chase another stupid pump
Markus13-Mar-19 04:54 AM
wish bittrex had better volume so we could trade more efficiently there
anyone know if kmd trading app gonna have ledger integration?
Alecandro13-Mar-19 04:57 AM
time for a little green now I think
Justchill13-Mar-19 04:58 AM
This confirmation time must improve....
actionslacks13-Mar-19 04:59 AM
I'm sure huobi slowed it down during the pump
Justchill13-Mar-19 04:59 AM
Liquidity is just part of the utility of a project
Sherdogz13-Mar-19 05:00 AM
What happend
Markus13-Mar-19 05:01 AM
it was obviously a bot pump from huobis side, similar to the fake volume during kmd contest to win 50k kmd
actionslacks13-Mar-19 05:01 AM
Bittrex has even told me they couldn't accept the deposit when I was trying to do a big trade in the past
Justchill13-Mar-19 05:02 AM
KMD is clearly one of the top 5 tokens in blockchains at the moment in regards to overall utility however users are fickle and confirm times will drive users away for the short term. We want to keep volume high....
actionslacks13-Mar-19 05:02 AM
this game is still rigged towards the exchanges
exchanges' confirmation times are something the dev team has no control over @Justchill
Markus13-Mar-19 05:03 AM
i hope kmd's trading app with mm 2.0 will become very active with alot of liquidity
that would be a game changer
jspook1613-Mar-19 05:04 AM
Kmd itself is a game changer
Markus13-Mar-19 05:04 AM
ye ofc but we need a reliable exchange where u keep ur private keys safe, with good liquidity and without this forever waiting deposits
actionslacks13-Mar-19 05:04 AM
it only takes 1 conf for amt's to show in the kmd wallet
jspook1613-Mar-19 05:05 AM
There's the kmd app as well as the coincollect app both pursuing the same goal I think
Justchill13-Mar-19 05:05 AM
Agreed, there are a number of decentralized exchanges, however, none see the volume needed to compete with exchange. At this point Liquid (qash) looks the most promising
From a volume potential (Asia compliance)
jspook1613-Mar-19 05:07 AM
CC is keeping volume in mind and plans to have a way to provide liquidity
We shall see how this plays out
2019 year of the
Justchill13-Mar-19 05:08 AM
KMD obviously the most useful and widest options. Atomic swaps and jumbler features will prove to be very useful on a go forward.
Markus13-Mar-19 05:08 AM
o wow 28.7k on huobi
Justchill13-Mar-19 05:09 AM
Hiding ones net worth (wallet value) is most valuable for pricing itegrity. Only KMD allows this.
2951 on binance
Alexfrog13-Mar-19 05:11 AM
justchill, what do you mean about hiding wallet value
i would think only a good privacy coin like monero or pirate would do that
1
Justchill13-Mar-19 05:11 AM
Vollume dropping off
jspook1613-Mar-19 05:11 AM
Oh snap kmd pamped? Damn.
Missed that wave. I like to buy high and sell low
Justchill13-Mar-19 05:12 AM
Correct privacy option and jumbler.
Alexfrog13-Mar-19 05:13 AM
kmd isnt a private coin anymore though
Justchill13-Mar-19 05:14 AM
If a company or entity knows your net during any negotiation (transaction) they can taylor the value around your ability to pay a particular price.
This is a huge flaw in blockchains at the moment
jspook1613-Mar-19 05:15 AM
Jumblr
Justchill13-Mar-19 05:15 AM
My understanding is privacy will be an option moving forward.


Video | 21 Bridges Cast Interviews With Chadwick Boseman, Taylor Kitsch And More
Video | 21 Bridges Cast Interviews With Chadwick Boseman, Taylor Kitsch And More
Chadwick Boseman, Taylor Kitsch, Sienna Miller, Stephan James and director Brian Kirk discuss what drew them to the project and more.


“Diabetes is a condition that occurs when your body does not produce enough insulin or your body is not able to use the insulin produced effectively, resulting in blood glucose (blood sugar) levels being too high”. Blood glucose levels are measured in mg/dL or mmol/L.
There are two most common types of Diabetes:
There is no such thing as a “diabetes diet.”There are plenty of food choices for you to consider and adjusting the types and amounts of food you eat will help you to control your blood glucose levels to live a healthier lifestyle.
Carbohydrates, protein and fat are the basic components found in different foods. All provide your body with the energy for use now and some is stored for use during periods when you are sleeping or meals are missed. A healthy diet includes a mixture all 3 of these. After eating, carbohydrates have the most noticeable impact on your blood glucose levels. Here is some basic information about carbohydrates:
Carbohydrates (carbs) provide the calories and main source of energy for your body. Carbs are the sugars, starches, and fibers found in fruits, grains, vegetables, and milk products. Sugars and starches raise your blood glucose level, but fiber doesn’t.  But, not all carbs have the same effect on your blood glucose levels.
The Three types of carbs:
Simple carbs are broken down quickly by the body to be used as energy. Simple carbohydrates are found naturally in foods such as fruits, milk, and milk products. They are also found in processed and refined sugars such as candy, table sugar, syrups, and soft drinks
Simple carbs are like quick-burning fuels. They break down fast into sugar in your system.  Simple carbs are broken down quickly, cause your blood glucose to rise more rapidly but don’t last as long as complex carbs.
Complex carbs pack in more nutrients than simple carbs. They are digested more slowly. They also may be higher in fiber. This also makes them more filling, which means they’re a good option for weight control.
Complex carbs are found naturally in foods such as vegetables, beans, cereal, oats, breads, pasta or rice. Complex carbs do not cause your blood glucose level to rise as quickly or high as simple carbs, and help manage blood glucose spikes after meals.
When people talk about the calories in food, what do they mean? A calorie is a unit of measurement — but it doesn't measure weight or length. A calorie is a unit of energy. When you hear something contains 100 calories, it's a way of describing how much energy your body could get from eating or drinking it.
Calories in food provide energy in the form of heat so that our bodies can function. Our bodies store and "burn" calories as fuel... A calorie isn't actually a thing, it's a unit of measurement. A calorie measures the amount of energy in the food and beverages that we consume. We all need this energy to live and stay healthy. Everything we do relies on the energy that comes in the form of calories. One gram of carbohydrates = x calories
Carbs are measured in grams. On packaged foods, you can find total carb grams on the Nutrition Facts label. You can also check this list or use a carb-counting app such as CalorieKing or MyFitnessPal to find grams of carbs in foods and drinks.
Protein is one of three essential macronutrients; the other two are fat and carbohydrate. The body uses protein to build, repair, and maintain most of your body's tissues and organs. Proteins are also necessary for immune system function and they help some additional physiological processes.
According to the USDA Dietary Guidelines, it is recommended to eat 5 1/2 ounces of protein-rich food each day. Foods that are high in protein include meat, fish, seafood, chicken, eggs, dairy products, legumes, nuts, and seeds. For example, one-half chicken breast has 29 grams of protein. source
Fats are also an important part of a balanced diet. Since fats are higher in calories per gram (X calories
per gram), when it comes to fat, the key is being mindful of portions.
The American Diabetes Association and the National Academy of Medicine's guidelines indicate that 20 to 35
percent of total calories should come from fat.
 Further,
these effects may last for several hours after eating.
 In general when it comes to fat, try to replace foods high in saturated fat or trans fat with foods rich in monounsaturated and polyunsaturated fats to reduce your risk of heart disease. source
Insulin is a hormone made by your body. Without insulin or enough insulin, your body is not able to use sugar (glucose) from the food that you eat to create energy, or to store glucose for future use.
Insulin helps keep your blood glucose level from getting too high(hyperglycemia). Prolonged hyperglycemia can cause the complications we want to avoid. People with type 1 diabetes need to take insulin everyday in order to remain healthy. People with type 2 diabetes may also need to take insulin to control blood glucose levels.
There are four main types of insulin. Each type acts differently in the body:
Each type has a different:
Bolus insulin (rapid- and short-acting insulin): These insulins work quickly and have a shorter duration compared to other insulins. These insulins are used to control blood glucose levels at meal time.
Basal insulin (intermediate-acting and long-acting): These insulins work more slowly and last longer; they provide “background” action to help keep blood glucose levels from going too high throughout the day and at night.
Note: Basal insulin is usually taken as a shot. However if you are on a pump, your basal insulin would be rapid-acting insulin given in small amounts throughout the day.
We will focus on rapid-acting insulin which is usually taken at meal times.
The insulin activity curve shows when the insulin is working over time. It's important for understanding when to take insulin to best manage your blood glucose levels at meal time.
Rapid-acting insulin typically begins working about 5 - 20 minutes after it is taken, peaks within about 30 - 90 minutes, and is active in the bloodstream for about 3.5-5 hours.
Because rapid-acting insulin works more quickly, peaks higher and action time is shorter, it prevents blood glucose from going high at meal time.
Disclaimer: Rapid-acting insulin works differently for everyone, so your activity curve may vary. Please refer to your healthcare provider for more information.
A bolus is the dose of insulin you take when you eat to keep blood sugar levels controlled at meal time. Your bolus needs to act quickly to balance out the carbohydrates raising your blood sugar, so rapid-acting or short-acting insulin is typically used.
Pre-bolusing is the term used to describe taking your rapid-acting insulin dose before you eat, usually 15-20 minutes before depending on the circumstances.
Your health care provider will help you figure out when you should bolus. In some situations, taking insulin during or following a meal may be recommended. Talk to your doctor about what works best for you.
Disclaimer: There are many other factors that also affect glucose levels, such as exercising, type of food, illness, stress and medication. However, the focus for this tool is insulin.
Different foods will affect your blood glucose levels differently, so your bolus dose needs be matched to what you're eating. Learning how to count carbohydrates (which raise your blood glucose) can help you figure out how much insulin to take to keep your blood glucose in range at meal time.
For this tool, we use a typical American meal as a standard meal (about 45-75 grams of carbohydrates). Different people will require different amounts of carbohydrates and insulin.
Disclaimer: The numbers used in this tool are for education purposes only. Please ask your healthcare provider for more information.
 Our tool features a target range of 70 to 180 mg/dL, the recommended time-in-range by American Diabetes Association (ADA).
The goal is for people with a continuous glucose monitor (CGM) to increase time spent in-range, while reducing the time spent below or above target range The ADA recommendation is to spend at least 70% of the day in the target range of 70 to 180 mg/dL. Time-in-range is a useful way to track your progress and to provide insights into what behaviors and choices affect your glucose values. Time-in-range goals vary; talk to your healthcare provider.
Disclaimer: Your blood sugar targets may be different depending on your age, any additional health problems you have, and other factors. Be sure to talk to your health care team about which targets are best for you.


AKDSFramework.structure package¶
Data structures¶
ArrayQueue¶
-
class
AKDSFramework.structure.ArrayQueue.
ArrayQueue
(capacity)¶ Bases:
AKDSFramework.structure.ArrayQueue.QueueADT
- Intialize an Queue using Array
- Args:
capacity (int): Creates a None value static array with specified capacity.
-
dequeue
()¶ Dequeue from the beginning of the Queue following the FIFO policy
-
enqueue
(value)¶ - Enqueue an element into the Queue Object
- Args:
value (Any): Pass in the object you want to enqueue
-
expand
()¶ Expands the size of the array with linear time complexity, Meant for usage in internal state. Don’t use this operation outside.
Binary Search Tree¶
-
class
AKDSFramework.structure.bst.
BinarySearchTree
(root=None)¶ Bases:
object
- BinarySearchTree representation.
- Args:
root: Optional Root of the search tree. If not provided, returns an empty tree
-
insert
(*values)¶ Insert a series of values into the binary search tree
-
isEmpty
()¶ Returns whether the search tree is empty
-
search
(value)¶
-
class
AKDSFramework.structure.bst.
Node
(data, left=None, right=None)¶ Bases:
object
A Binary Search Tree Node.
Dictionary¶
-
class
AKDSFramework.structure.dictionary.
Hash
¶ Bases:
object
Hash object class.
-
hash
(key)¶
-
include
(key, value)¶ - Include a new key-value pair in your already existing hash table.
- Args:
key (str): Any thing can be your key
value (Any): Mention the value associated with your particular key
-
removeFor
(key)¶ - Remove value associated with some key.
- Args:
key (str): Mention the key for which you want to delete the value.
-
searchFor
(key)¶ - Search for a given key.
- Args:
key (str): Any thing can be your key. Mention the key you want to search for the value associated with it.
-
-
class
AKDSFramework.structure.dictionary.
Node
(key, value)¶ Bases:
object
Graph¶
-
class
AKDSFramework.structure.graph.
GraphDictionaryRepresented
¶ Bases:
object
- Dictionary representation of Graph. Total storage space \(O(V+E)\).
- Examples:
>>> from AKDSFramework.structure.graph import Vertex >>> g = GraphDictionaryRepresented() >>> for i in range(1, 8): ... g.register_vertex(Vertex(f'{i}')) >>> edges = ['15', '14', '12', '27', '26', '23'] >>> for edge in edges: ... g.register_edge(edge[:1], edge[1:], directed=False) >>> g.prettyprint() >>> print(g.BFS('1')) >>> print(g.DFS('1'))
-
BFS
(startFromVertex)¶
-
DFS
(startFromVertex)¶
-
prettyprint
()¶
-
raw_dict
()¶
-
register_edge
(init, stop, weight=1, directed=True)¶
-
register_vertex
(vertex)¶ Register a vertex in the graph
-
class
AKDSFramework.structure.graph.
GraphMatrixRepresented
(vertices, is_directed=False)¶ Bases:
object
- Matrix representation of Graph
- Args:
vertices
(int): Number of total vertices in the graphis_directed
(Bool): Expects directed or not directed graph. Defaults to not directed graph.
- Space Complexity:
Space complexity for graphs represented with adjacenecy matrix is \(O(V^2)\) where \(V\) is number of vertices. Use this method of representation only when your graph is dense. Number of edges \(|E| ≥ V^2\) Else a lot of zeros will be placed inside the matrix which won’t be that efficient space wise. For sparse matrix use
GraphDictionaryRepresented
instead ofGraphMatrixRepresented
.- Examples::
>>> from AKDSFramework.structure.graph import GraphMatrixRepresented >>> import numpy as np >>> graph1 = GraphMatrixRepresented(vertices=20, is_directed=True) >>> # Now add few edges with random weights >>> while graph1.number_of_edges < 100: ... random_start = np.random.randint(low=0, high=graph1.vertices) ... random_end = np.random.randint(low=0, high=graph1.vertices) ... random_weight = np.random.randint(-7, 20) ... if random_weight != 0 and graph1.show_graph()[random_start][random_end] == 0: ... graph1.add_edge_between(start=random_start, end=random_end, weight=random_weight) ... graph1.add_edge_between(start=random_start, end=random_end, weight=random_weight) ... else: ... pass >>> print(graph1.number_of_edges) # or print(graph1.count_edges()) >>> print(graph1.vertices) >>> print(graph1.show_graph())
-
add_edge_between
(start: int, end: int, weight: int)¶ - Adds edge between two points in a graph. If the graph is not directed then one edge b/w start and end and one b/w end and start will be added which has the same weight.
- Args:
start
(int): Starting Index where the edge startsend
(int): Ending index where the edge endsweight
(float or int): Weight of the edge
-
count_edges
()¶ - Returns
Total edge count
-
show_graph
()¶ - Shows the graph as a 2D Numpy matrix. Alternatively you can use the
print()
method to show the graph. - Returns:
Numpy 2D array showing the graph.
- Shows the graph as a 2D Numpy matrix. Alternatively you can use the
-
AKDSFramework.structure.graph.
draw_graph
(g: AKDSFramework.structure.graph.GraphDictionaryRepresented, order='LR')¶ - Draw a graph from a GraphDictionaryRepresented graph. Internet connection required.
- Args:
graph
: GraphDictionaryRepresented graph objectorder
: Either LR or TD. LR is left to right design and TD is top-down drawing of graph.
Heaps¶
Heap Implementation
Heaps are advanced data structures and are mostly implemented using priority queues. They can be thought of as a tree-based structure, in which the tree is a complete binary tree.
- The 2 main characteristics of Heaps are the followings
It should be a completely binary tree
Nodes must be according to the min-max order property
-
class
AKDSFramework.structure.heap.
Heap
(array)¶ Bases:
object
Base Heap class
-
add
(value)¶
-
delete_root
()¶
-
get_left_child
(i)¶ Get right child’s index for parent
i
:param -i
: Index whose left child’s index you want :type -i
: int- Returns
Returns the right child of any node, if not possible returns None
-
get_right_child
(i)¶ Get right child for index i :param -
i
: Index whose right child you want :type -i
: int- Returns
Returns the right child of any node, if not possible returns None
-
get_root
()¶ Returning the root node value of the max heap in \(O(1)\) time. :returns:
The root node which is the maximum value in the heap.
-
prettyprint
()¶
-
-
class
AKDSFramework.structure.heap.
MaxHeap
(array)¶ Bases:
AKDSFramework.structure.heap.Heap
-
build
()¶ Build operation is called when the heap violates the heap property, Such as during adding new element at the end of heap with .add() method or initializing the heap for the first time. Or deleting with
delete_root()
method. This takes upto \(O (N)\) time per build.Watch MIT 6.006 video on heap and heap sort to know more on build operations here https://youtu.be/B7hVxCmfPtM
-
heapify
(index)¶ Correct a single violation of the heap property in subtree’s root. This takes upto order \(O(\log n)\) time. Watch MIT 6.006 video on heap and heap sort to know more on build operations here https://youtu.be/B7hVxCmfPtM
-
-
class
AKDSFramework.structure.heap.
MinHeap
(array)¶ Bases:
AKDSFramework.structure.heap.Heap
-
build
()¶ Build operation is called when the heap violates the heap property, Such as during adding new element at the end of heap with .add() method or initializing the heap for the first time. Or deleting with
delete_root()
method. This takes \(O (N)\) time per build.Watch MIT 6.006 video on heap and heap sort to know more on build operations here https://youtu.be/B7hVxCmfPtM
-
heapify
(index)¶
-
linkedlist¶
This is the beginning of Linked list data structure module. We currently support singly linked list and doubly linked list.
@author: theroyakash
-
class
AKDSFramework.structure.linkedlist.
DoublyLinkedListBase
¶ Bases:
object
Base class for doubly linked list
-
add
(element)¶ Add element at the end of list
-
isEmpty
()¶ Returns if the list is empty
-
-
class
AKDSFramework.structure.linkedlist.
Node
(value)¶ Bases:
object
-
class
AKDSFramework.structure.linkedlist.
SinglyLinkedList
¶ Bases:
object
-
add
(value, at_end=True, position=0)¶ Adds any element to the linked list :param - value: Put in the value you want to add. :type - value: Any :param - at_end: If you want to add to the end of the list leave this blank. Defaults to adding at the end. :type - at_end: bool :param - position: If you choose
at_end
= False then add the position where you want to add new value. :type - position: int
-
count
()¶ Get the size of the linked list. How many Nodes are there in the linked list. :returns:
The number of nodes in the linked list.
-
get_head
()¶ Get the head node value of the linked list :returns:
The node value for the head
-
isEmpty
()¶ Checks if linked list is empty or not. :returns: Return True if linkedlist is empty else False. :rtype: - Bool
-
prettyprint
()¶
-
removeAt
(index=0)¶ Remove any node from linked list :returns: returns the value at the node :rtype: - value (Any)
-
Sparse Matrix¶
-
class
AKDSFramework.structure.sprse_matrix.
SparseMatrix
¶ Bases:
object
Sparse Matrix representation for efficient storage. Sparse matrix contains less than 30% non zero elements. This implementation for sparse matrix uses a dictionary to store values for fast access and gives you many wonderful APIs and tools to make your life easy.
-
build2D
(sparse_matrix)¶ Build a sparse matrix object from a 2d sparse matrix numpy array. Only Works with 2D Arrays now. :param sparse_matrix: 2D Numpy matrix array
-
get
(location)¶ Remember this get() method only works assuming you given a [a, b] array as SparseMatrix currently supports only 2D Arrays :param location: Location of where you want to look up the value
- Returns
Integer or whatever stored in that place. If nothing then returns zero. Assuming the sparse matrix had zero where there was nothing.
-
shape
()¶ - Returns
Shape of the matrix, stored with key inside the data structure when building the SparseMatrix. The actual sparse graph is not stored as it takes O(n^2) space.
-
to_numpy
()¶ For whatever reason you want to convert a SparseMatrix object back to a numpy array you can call this function. :returns: Numpy 2D Array equivalent of the SparseMatrix object
-
Stack¶
-
class
AKDSFramework.structure.stack.
ListBasedStack
(array=None)¶ Bases:
object
-
clear
()¶
-
clone
()¶
-
peek
()¶
-
pop
()¶
-
push
(value)¶ Push data onto the stack. :param - value: Pass in the value you want to push :type - value: Any
-
searchFor
(element)¶
-
-
class
AKDSFramework.structure.stack.
Stack
¶ Bases:
object
-
isEmpty
()¶ Says whether the stack is empty or not :returns: True if no elements in the stack else False. :rtype: - Bool
-
peak_top
()¶ Quickly peak at the very top of the stack :returns:
The top most element of the stack
-
pop
()¶ pops out the last value from the stack. :returns:
Element that just popped off the stack
-
push
(value)¶ Push some value on to the stack :param value: Any value you want to push to the stack. :type value: Any
-


Project 1
Technology, external partners social capital black lives matter relief social enterprise incubator because. Social capital deep dive, innovate segmentation social intrapreneurship inspirational. Co-create technology innovate, challenges and opportunities mass incarceration contextualize correlation storytelling thought partnership. The resistance ideate, collaborative consumption energize boots on the ground. Compassion; social capital innovation cultivate storytelling initiative policymaker save the world. Progress, revolutionary, compassion, living a fully ethical life social entrepreneurship the resistance.
User Interviews
For me, DSI is deploying innovation–the activity of delivering a product or service as well as aligning the incentives of these activities with mission-based outcomes.
Technology, external partners social capital black lives matter relief social enterprise incubator because. Social capital deep dive, innovate segmentation social intrapreneurship inspirational. Co-create technology innovate, challenges and opportunities mass incarceration contextualize correlation storytelling thought partnership. The resistance ideate, collaborative consumption energize boots on the ground. Compassion; social capital innovation cultivate storytelling initiative policymaker save the world. Progress, revolutionary, compassion, living a fully ethical life social entrepreneurship the resistance.
Outcomes
- Milk
- Sugar
- Butter
- Milk
- Sugar
- Butter


These are a few of my favorite things
(In no particular order)
From The Sound of Music
- whiskers on kittens
- warm, wooly mittens
- snowflakes that stay on your face and eyelashes
Ice Cream Flavors
- lavendar
- marionberry cheesecake
- cookie dough
Websites
Now you know more about me!
Head to my first webpage to see more of my work!


PicoContainer Core contains the fundamental functionality of PicoContainer
Gems contains value-added Injectors, Containers, Monitors, and Parameters that often require additional dependencies to support each behavior.
Note: Gems is designed so that you need to only import the dependencies needed for a given feature you need. For example, CommonsLoggingComponentMonitor only requires the Apache Commons Logging project. You don't have to import the Servlet API to use it.
The TCK is a test suite to allow you to create and verify your own PicoContainer-based solutions.


--- layout: post title: Identity Crisis date: 2007-05-01 19:53:15.000000000 -06:00 type: post published: true status: publish categories: - Case Studies - Library tags: [] meta: _gcid: '43' _edit_last: '3110' _wp_page_template: default U_S_C_message: '' _dependencies: s:6:"a:0:{}"; _custom_background: a:5:{s:3:"url";s:0:"";s:16:"background-color";s:0:"";s:17:"background-repeat";s:6:"repeat";s:21:"background-attachment";s:6:"scroll";s:19:"background-position";s:8:"left top";} _intro_text: default _intro_custom_banner: a:1:{s:3:"url";s:0:"";} _bitly_trim: http://dddcommunity.org/?p=34 author: login: Vladimir Gitlevich email<EMAIL_ADDRESS>display_name: Vladimir Gitlevich first_name: Vladimir Gitlevich last_name: '' ---
by Vladimir Gitlevich
March 2007
We tend to think of the identity of objects as a simple, even technical thing, but the identity of domain entities are an important part of a model, and in a complex domain they can be subtle concepts in their own right. This report is based on a true story of such a discovery (names changed to protect the innocent). It shows how discovery and naming of just one such missing concept helped developers of a large banking application to shift their focus from the "how" of the infrastructure to the "what" and "why" of the domain, allowing them to understand the domain more deeply and communicate more clearly.


EBD - Easton Bible DIctionary
Hatred
HATRED
"HATRED "among the works of the flesh (
Galatians 5:20
). Altogether different is the meaning of the word in
Deuteronomy 21:15
;
Matthew 6:24
;
Luke 14:26
;
Romans 9:13
, where it denotes only a less degree of love.
"HATRED "among the works of the flesh (Galatians 5:20). Altogether different is the meaning of the word in Deuteronomy 21:15; Matthew 6:24; Luke 14:26; Romans 9:13, where it denotes only a less degree of love.


Leganes 1-2 Barcelona: Champions come from behind to secure narrow win [Tweets]
by Keshav AwastyBarcelona had to work hard for all three points, as they came from behind to beat Leganes 2-1 at Estadio Municipal de Butarque on Saturday.
Barcelona were off to the worst possible start as Youssef En-Nesyri handed Leganes the lead in the 12th minute, finishing off a devastating counter-attack by the hosts. Barcelona saw most of the ball thereafter, but could only manage to find a way past Ivan Cuellar in the 53rd minute, when Luis Suarez headed in the equaliser from Lionel Messi’s pinpoint delivery.
The comeback was then complete 10 minutes from time when Arturo Vidal netted from close range. The win meant Barcelona are now three points clear at the top of the La Liga table, albeit with a game in hand. And, fans lauded Vidal for changing the course of the game after coming on, with a young fan getting a lot of attention as well.
Moussa Wague impressed on his first start of the season and fans clamoured for the youngster to get more of a look-in going forward.
As always, though, Barcelona captain Lionel Messi had a role to play in his side’s win and fans hailed the Argentine wizard following the game.


|
My Project
|
A low-level machine address for labelling bytes and data. More...
#include <address.hh>
Public Types | |
| enum | mach_extreme { m_minimal, m_maximal } |
| An enum for specifying extremal addresses. More... | |
Public Member Functions | |
| Address (mach_extreme ex) | |
| Initialize an extremal address. More... | |
| Address (void) | |
| Create an invalid address. More... | |
| Address (AddrSpace *id, uintb off) | |
| Construct an address with a space/offset pair. More... | |
| Address (const Address &op2) | |
| A copy constructor. More... | |
| bool | isInvalid (void) const |
| Is the address invalid? More... | |
| int4 | getAddrSize (void) const |
| Get the number of bytes in the address. More... | |
| bool | isBigEndian (void) const |
| Is data at this address big endian encoded. More... | |
| void | printRaw (ostream &s) const |
| Write a raw version of the address to a stream. More... | |
| int4 | read (const string &s) |
| Read in the address from a string. More... | |
| AddrSpace * | getSpace (void) const |
| Get the address space. More... | |
| uintb | getOffset (void) const |
| Get the address offset. More... | |
| void | toPhysical (void) |
| Convert this to a physical address. More... | |
| char | getShortcut (void) const |
| Get the shortcut character for the address space. More... | |
| Address & | operator= (const Address &op2) |
| Copy an address. More... | |
| bool | operator== (const Address &op2) const |
| Compare two addresses for equality. More... | |
| bool | operator!= (const Address &op2) const |
| Compare two addresses for inequality. More... | |
| bool | operator< (const Address &op2) const |
| Compare two addresses via their natural ordering. More... | |
| bool | operator<= (const Address &op2) const |
| Compare two addresses via their natural ordering. More... | |
| Address | operator+ (int4 off) const |
| Increment address by a number of bytes. More... | |
| Address | operator- (int4 off) const |
| Decrement address by a number of bytes. More... | |
| bool | containedBy (int4 sz, const Address &op2, int4 sz2) const |
| Determine if op2 range contains this range. More... | |
| int4 | justifiedContain (int4 sz, const Address &op2, int4 sz2, bool forceleft) const |
| Determine if op2 is the least significant part of this. More... | |
| int4 | overlap (int4 skip, const Address &op, int4 size) const |
| Determine how two address ranges overlap. More... | |
| bool | isContiguous (int4 sz, const Address &loaddr, int4 losz) const |
| Does this form a contigous range with loaddr. More... | |
| bool | isConstant (void) const |
| Is this a constant value. More... | |
| void | renormalize (int4 size) |
| Make sure there is a backing JoinRecord if this is in the join space. More... | |
| bool | isJoin (void) const |
| Is this a join value. More... | |
| void | saveXml (ostream &s) const |
| Save this to a stream as an XML tag. More... | |
| void | saveXml (ostream &s, int4 size) const |
| Save this and a size to a stream as an XML tag. More... | |
Static Public Member Functions | |
| static Address | restoreXml (const Element *el, const AddrSpaceManager *manage) |
| Restore an address from parsed XML. More... | |
| static Address | restoreXml (const Element *el, const AddrSpaceManager *manage, int4 &size) |
| Restore an address and size from parsed XML. More... | |
| static AddrSpace * | getSpaceFromConst (const Address &addr) |
| Recover an encoded address space from an address. More... | |
Protected Attributes | |
| AddrSpace * | base |
| Pointer to our address space. | |
| uintb | offset |
| Offset (in bytes) | |
Friends | |
| ostream & | operator<< (ostream &s, const Address &addr) |
| Write out an address to stream. More... | |
A low-level machine address for labelling bytes and data.
All data that can be manipulated within the processor reverse engineering model can be labelled with an Address. It is simply an address space (AddrSpace) and an offset within that space. Note that processor registers are typically modelled by creating a dedicated address space for them, as distinct from RAM say, and then specifying certain addresses within the register space that correspond to particular registers. However, an arbitrary address could refer to anything, RAM, ROM, cpu register, data segment, coprocessor, stack, nvram, etc. An Address represents an offset only, not an offset and length
| Address::Address | ( | mach_extreme | ex | ) |
|
inline |
Create an invalid address.
An invalid address is possible in some circumstances. This deliberately constructs an invalid address
|
inline |
Construct an address with a space/offset pair.
This is the basic Address constructor
| id | is the space containing the address |
| off | is the offset of the address |
|
inline |
A copy constructor.
This is a standard copy constructor, copying the address space and the offset
| op2 | is the Address to copy |
| bool Address::containedBy | ( | int4 | sz, |
| const Address & | op2, | ||
| int4 | sz2 | ||
| ) | const |
Determine if op2 range contains this range.
Return true if the range starting at this extending the given number of bytes is contained by the second given range.
| sz | is the given number of bytes in this range |
| op2 | is the start of the second given range |
| sz2 | is the number of bytes in the second given range |
|
inline |
Get the number of bytes in the address.
Get the number of bytes needed to encode the offset for this address.
|
inline |
Get the address offset.
Get the offset of the address as an integer.
|
inline |
Get the shortcut character for the address space.
Each address has a shortcut character associated with it for use with the read and printRaw methods.
|
inline |
Get the address space.
Get the address space associated with this address.
Recover an encoded address space from an address.
In LOAD and STORE instructions, the particular address space being read/written is encoded as a constant input parameter to the instruction. Internally, this constant is the actual pointer to the AddrSpace. This function allows the encoded pointer to be recovered from the address it is encoded in.
| addr | is the Address encoding the pointer |
|
inline |
Is data at this address big endian encoded.
Determine if data stored at this address is big endian encoded.
|
inline |
Is this a constant value.
Determine if this address is from the constant space. All constant values are represented as an offset into the constant space.
| bool Address::isContiguous | ( | int4 | sz, |
| const Address & | loaddr, | ||
| int4 | losz | ||
| ) | const |
Does this form a contigous range with loaddr.
Does the location this, sz form a contiguous region to loaddr, losz, where this forms the most significant piece of the logical whole
| sz | is the size of this hi region |
| loaddr | is the starting address of the low region |
| losz | is the size of the low region |
|
inline |
Is the address invalid?
Determine if this is an invalid address. This only detects deliberate invalid addresses.
|
inline |
Is this a join value.
Determine if this address represents a set of joined memory locations.
| int4 Address::justifiedContain | ( | int4 | sz, |
| const Address & | op2, | ||
| int4 | sz2, | ||
| bool | forceleft | ||
| ) | const |
Determine if op2 is the least significant part of this.
Return -1 if (op2,sz2) is not properly contained in (this,sz). If it is contained, return the endian aware offset of (op2,sz2) I.e. if the least significant byte of the op2 range falls on the least significant byte of the this range, return 0. If it intersects the second least significant, return 1, etc. The -forceleft- toggle causes the check to be made against the left (lowest address) side of the container, regardless of the endianness. I.e. it forces a little endian interpretation.
| sz | is the size of this range |
| op2 | is the address of the second range |
| sz2 | is the size of the second range |
| forceleft | is true if containments is forced to be on the left even for big endian |
|
inline |
Compare two addresses for inequality.
Check if two addresses are not equal. I.e. if either their address space or offset are different.
| op2 | is the address to compare to this |
|
inline |
Increment address by a number of bytes.
Add an integer value to the offset portion of the address. The addition takes into account the size of the address space, and the Address will wrap around if necessary.
| off | is the number to add to the offset |
|
inline |
Decrement address by a number of bytes.
Subtract an integer value from the offset portion of the address. The subtraction takes into account the size of the address space, and the Address will wrap around if necessary.
| off | is the number to subtract from the offset |
|
inline |
Compare two addresses via their natural ordering.
Do an ordering comparison of two addresses. Addresses are sorted first on space, then on offset. So two addresses in the same space compare naturally based on their offset, but addresses in different spaces also compare. Different spaces are ordered by their index.
| op2 | is the address to compare to |
|
inline |
Compare two addresses via their natural ordering.
Do an ordering comparison of two addresses.
| op2 | is the address to compare to |
Copy an address.
This is a standard assignment operator, copying the address space pointer and the offset
| op2 | is the Address being assigned |
|
inline |
Compare two addresses for equality.
Check if two addresses are equal. I.e. if their address space and offset are the same.
| op2 | is the address to compare to this |
| int4 Address::overlap | ( | int4 | skip, |
| const Address & | op, | ||
| int4 | size | ||
| ) | const |
Determine how two address ranges overlap.
If this + skip falls in the range op to op + size, then a non-negative integer is returned indicating where in the interval it falls. I.e. if this + skip == op, then 0 is returned. Otherwise -1 is returned.
| skip | is an adjust to this address |
| op | is the start of the range to check |
| size | is the size of the range |
|
inline |
Write a raw version of the address to a stream.
Write a short-hand or debug version of this address to a stream.
| s | is the stream being written |
|
inline |
Read in the address from a string.
Convert a string into an address. The string format can be tailored for the particular address space.
| s | is the string to parse |
| void Address::renormalize | ( | int4 | size | ) |
Make sure there is a backing JoinRecord if this is in the join space.
If this is (originally) a join address, reevaluate it in terms of its new offset and siz, changing the space and offset if necessary.
| size | is the new size in bytes of the underlying object |
|
static |
Restore an address from parsed XML.
This is usually used to build an address from an <addr> tag, but it can be used to create an address from any tag with the appropriate attributes
or a name attribute can be used to recover an address based on a register name.
| el | is the parsed tag |
| manage | is the address space manager for the program |
|
static |
Restore an address and size from parsed XML.
This is usually used to build an address from an <addr> tag, but it can be used to create an address from any tag with the appropriate attributes
or a name attribute can be used to recover an address and size based on a register name. If a size is recovered it is stored in size reference.
| el | is the parsed tag |
| manage | is the address space manager for the program |
| size | is the reference to any recovered size |
|
inline |
Save this to a stream as an XML tag.
Save an <addr> tag corresponding to this address to a stream. The exact format is determined by the address space, but this generally has a space and an offset attribute.
| s | is the stream being written to |
|
inline |
Save this and a size to a stream as an XML tag.
Save an <addr> tag corresponding to this address to a stream. The tag will also include an extra size attribute so that it can describe an entire memory range.
| s | is the stream being written to |
| size | is the number of bytes in the range |
| void Address::toPhysical | ( | void | ) |
Convert this to a physical address.
|
friend |
Write out an address to stream.
This allows an Address to be written to a stream using the standard '<<' operator. This is a wrapper for the printRaw method and is intended for debugging and console mode uses.
| s | is the stream being written to |
| addr | is the Address to write |


I am familiar with HTML5, CSS3, Bootstrap, Git, Javascript, ReactJs, NodeJs and Web Hosting
I like to showcase my work and thus, you can see my projects hosted online
I am also working on some technical and non technical blogs. I like to documnet my joourney of learning


"In the young people of the world...lies a reservoir of capacity to transform society waiting to be tapped"
Please join us at the
where we will get a chance to explore
the role of youth in serving their communities.
Bulman Centre MPI room (Basement level of Riddell Hall) University Of Winnipeg
Friday, August 26th, 5:30pm - 8:30pm Saturday, August 27th, 10:00am - 8:30pm Sunday, August 28th, 10:00am - 6:00pm


| [[ {SparkR} | R Documentation |
Return subsets of DataFrame according to given conditions
## S4 method for signature 'DataFrame,numericOrcharacter' x[[i]] ## S4 method for signature 'DataFrame,missing,ANY' x[i, j, ..., drop = TRUE] ## S4 method for signature 'DataFrame,Column,ANY' x[i, j, ..., drop = TRUE] ## S4 method for signature 'DataFrame' subset(x, subset, select, ...)
x |
A DataFrame |
subset |
A logical expression to filter on rows |
select |
expression for the single Column or a list of columns to select from the DataFrame |
A new DataFrame containing only the rows that meet the condition with selected columns
Other subsetting functions: $
,
$<-
, select
,
select
,
select,DataFrame,Column-method
,
select,DataFrame,list-method
,
selectExpr
; filter
,
filter
, where
,
where
## Not run:
##D # Columns can be selected using `[[` and `[`
##D df[[2]] == df[["age"]]
##D df[,2] == df[,"age"]
##D df[,c("name", "age")]
##D # Or to filter rows
##D df[df$age > 20,]
##D # DataFrame can be subset on both rows and Columns
##D df[df$name == "Smith", c(1,2)]
##D df[df$age %in% c(19, 30), 1:2]
##D subset(df, df$age %in% c(19, 30), 1:2)
##D subset(df, df$age %in% c(19), select = c(1,2))
## End(Not run)


| Top |
| void | gtk_cell_editable_start_editing () |
| void | gtk_cell_editable_editing_done () |
| void | gtk_cell_editable_remove_widget () |
GtkCellEditable is implemented by GtkAppChooserButton, GtkComboBox, GtkComboBoxText, GtkEntry, GtkSearchEntry and GtkSpinButton.
The GtkCellEditable interface must be implemented for widgets to be usable when editing the contents of a GtkTreeView cell.
void gtk_cell_editable_start_editing (GtkCellEditable *cell_editable
,GdkEvent *event
);
Begins editing on a cell_editable
. event
is the GdkEvent that began
the editing process. It may be NULL
, in the instance that editing was
initiated through programatic means.
void
gtk_cell_editable_editing_done (GtkCellEditable *cell_editable
);
Emits the “editing-done” signal.
void
gtk_cell_editable_remove_widget (GtkCellEditable *cell_editable
);
Emits the “remove-widget” signal.
“editing-canceled”
property“editing-canceled” gboolean
Indicates whether editing on the cell has been canceled.
Flags: Read / Write
Default value: FALSE
Since: 2.20
“editing-done”
signalvoid user_function (GtkCellEditable *cell_editable, gpointer user_data)
This signal is a sign for the cell renderer to update its
value from the cell_editable
.
Implementations of GtkCellEditable are responsible for emitting this signal when they are done editing, e.g. GtkEntry is emitting it when the user presses Enter.
gtk_cell_editable_editing_done() is a convenience method for emitting “editing-done”.
cell_editable |
the object on which the signal was emitted |
|
user_data |
user data set when the signal handler was connected. |
Flags: Run Last
“remove-widget”
signalvoid user_function (GtkCellEditable *cell_editable, gpointer user_data)
This signal is meant to indicate that the cell is finished editing, and the widget may now be destroyed.
Implementations of GtkCellEditable are responsible for emitting this signal when they are done editing. It must be emitted after the “editing-done” signal, to give the cell renderer a chance to update the cell's value before the widget is removed.
gtk_cell_editable_remove_widget() is a convenience method for emitting “remove-widget”.
cell_editable |
the object on which the signal was emitted |
|
user_data |
user data set when the signal handler was connected. |
Flags: Run Last


ftplib is a set of routines that implement the FTP protocol. They allow applications to create and access remote files through function calls instead of needing to fork and exec an interactive ftp client program.
ftplib has been built and tested on Linux (X86) and OpenVMS (AXP).
The documentation is included in the kit in html format. Also, the current working documentation for the release in progress is available on line.
Last Updated - June 7, 2013
Thomas Pfau / tfpfau@gmail.com


Grow your customer base and recurring revenue with a certified Avalara integration
Start by building a certified integration with Avalara AvaTax for real-time tax calculation
Expand to offer the entire breadth of Avalara tax compliance solutions
Become a certified Avalara integration partner
Day 0
Kick off
Day 30
Design/Build plan
Day 60
Functional review
Day 90
Market ready
Get started now, use our tools and resources
Prototyping tools
Develpment tools & support
Integration testing resources
Certify your Integration
Prototyping tools
Explore the API before you build. Make live API calls directly from our documentation.
Develpment tools & support
Get started quickly with our sample code and libraries. If you get stuck, your Certification Manager, Avalara Support, and Avalara's developer community are here with answers.
Integration testing resources
Run through our recommended testing scenarios on your own to check that all your bases are covered. Use our automated self-test tool to make sure the data you're sending looks good on our end before you certify.
Certify your Integration
Certify your integration to recieve sales and marketing support from Avalara.


{%- include head.html -%}
{%- include docs-header.html -%}
{%- include docs-sidebar.html -%}
{{ content }} {{page.fw}}
{%- include footer.html -%}


|
Connected Home over IP
672cf7684
|
Manages time synchronization for chip Devices. More...
#include <include/platform/TimeSyncManager.h>
Public Types | |
| enum | TimeSyncMode { kTimeSyncMode_NotSupported = 0, kTimeSyncMode_Disabled = 1, kTimeSyncMode_Service = 2, kTimeSyncMode_Max } |
Public Member Functions | |
| TimeSyncMode | GetMode () |
| CHIP_ERROR | SetMode (TimeSyncMode newMode) |
| uint32_t | GetSyncInterval () |
| void | SetSyncInterval (uint32_t intervalSec) |
| bool | IsTimeSynchronized () |
Protected Member Functions | |
| TimeSyncManager ()=default | |
| ~TimeSyncManager ()=default | |
| TimeSyncManager (const TimeSyncManager &)=delete | |
| TimeSyncManager (const TimeSyncManager &&)=delete | |
| TimeSyncManager & | operator= (const TimeSyncManager &)=delete |
Friends | |
| class | PlatformManagerImpl |
| template<class > | |
| class | Internal::GenericPlatformManagerImpl |
| template<class > | |
| class | Internal::GenericPlatformManagerImpl_FreeRTOS |
| TimeSyncManager & | TimeSyncMgr () |
| Returns a reference to the TimeSyncManager singleton object. More... | |
Manages time synchronization for chip Devices.
|
protecteddefault |
|
protecteddefault |
|
protecteddelete |
|
protecteddelete |
|
inline |
|
inline |
| bool chip::DeviceLayer::TimeSyncManager::IsTimeSynchronized | ( | ) |
|
protecteddelete |
| CHIP_ERROR chip::DeviceLayer::TimeSyncManager::SetMode | ( | TimeSyncMode | newMode | ) |
| void chip::DeviceLayer::TimeSyncManager::SetSyncInterval | ( | uint32_t | intervalSec | ) |
|
friend |
|
friend |
|
friend |
|
friend |
Returns a reference to the TimeSyncManager singleton object.


WRESTLEPROOF DEV BLOG
Updated on Fri Jan 15 2016
Fri Jan 15 2016
Survey 2
We need a color scheme. How do these look?
https://benjaminma.typeform.com/to/ILatGm


Why isn't my Clipboard History working?
Alfred's Clipboard History is a brilliantly useful feature that allows you to save text snippets to either a temporary clipboard or permanent snippets.
If you're unable to save text clips or the behaviour isn't as expected, take a look at the steps below.
1. Grant Alfred Permissions in macOS
In order to perform certain actions on your Mac, such as pasting clipboard content, you need to tell macOS that you want Alfred to do this.
Go to Alfred's General preferences, and click the Request Permissions... button. This will pop up the macOS Security & Privacy preferences, where you can give Alfred the necessary permissions to perform actions. Specifically, Alfred requires Accessibility for the Clipboard History feature.
Upgraded to Catalina? If you've recently updated to Catalina, you may need to remove and re-grant permissions. Click the lock icon and authenticate, then remove Alfred from the Accessibility preferences, then add him again. You'll then be good to go!
2. Turn on Clipboard History
By default the Clipboard is disabled for privacy reasons. Before you can start using the Clipboard History feature, you need to enable it by going to the Preferences panel, under Features > Clipboard. Ensure that the "Persist for" checkbox is ticked for the appropriate clip types.
3. Ignored applications
Alfred ignores certain applications, like Keychain Access and 1Password, to avoid copying passwords to the clipboard and making them visible in plain text.
If you find that text clips you copy using Cmd + C don't appear in Alfred's clipboard, check that the application you're copying from isn't in the Ignore Apps list.
4.  Due to the way these apps handle copying and pasting, they're incompatible.
5. Clipboard database corrupted
The text clips you save are stored in a small database, which Alfred searches when you use the clipboard history search. On very rare occasions, it's possible for your clipboard database to become corrupted. When this happens, the best solution is to clear your clipboard history, which will rebuild the clipboard.db file.
To do this, pop up Alfred's search box and type "clear" and select the "Clear Alfred's entire clipboard history" option.
This won't affect your saved Snippets, which are stored in a separate database to your clipboard entries.
Take a look at the Clipboard History feature page to find out more about using Clipboard History.


- You awake to a cacaphony of birdsong. It is still dark and you are cold and hungry. Around you your friends stir. The remains of the fire smoke gently.
- "We need to catch something today. Let's head over to the pond again see if there's any deer", says Pavel to the group
- Your stomach grumbles as you rise from your bed. You stretch and shake the tiredness from your limbs.
- You pick up your spear, admiring the sharpened point. It is covered in dew from the night and feels cold in your hands.


Marc Girons Lopez
Hydrologist
I am hydrologist at Fortum, working with inflow forecasting for hydropower production. Previously I have also worked at the Swedish Meteorological and Hydrological Institute (SMHI) contributing to the hydrological warning service and various research projects, and at the University of Zurich (UZH) as a researcher.
With a cross-disciplinary background, I contribute towards improving social resilience and sustainability by working on water-related issues. I am continuously learning about hydrology and water resources management, but also about social behaviour and data analysis. Everything is connected!
Besides water, I am a big enthusiast of the great outdoors in all seasons. I enjoy hiking, skiing, ice-skating, and paddling, among others. I enjoy music (both playing and dancing!) and taught myself to play the guitar. One day I hope to do the same with the accordion, balalaika, recorder and ukulele.
Selected publications
- HESSGirons Lopez, M., Crochemore, L., & Pechlivanidis, I. G. (2021). Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden. Hydrology and Earth System Sciences, 25(3), 1189–1209. https://doi.org/10.5194/hess-25-1189-2021
- HESSGirons Lopez, M., Vis, M. J. P., Jenicek, M., Griessinger, N., & Seibert, J. (2020). Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe. Hydrology and Earth System Sciences, 24, 4441–4461. https://doi.org/10.5194/hess-24-4441-2020
- WRRGirons Lopez, M., Di Baldassarre, G., & Seibert, J. (2017). Impact of social preparedness on flood early warning systems. Water Resources Research, 53(1), 522–534. https://doi.org/10.1002/2016WR019387


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ARK2D
1.0
Game development framework for Windows, Mac OS X and Android.
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#include <Image.h>
Public Member Functions | |
| GLuint | load () |
| GLuint | load (const Color &mask) |
| TargaImage * | loadTGA () |
| BMPImage * | loadBMP () |
| PNGImage * | loadPNG () |
| void | addTexture () |
| Image () | |
| Image (unsigned int resource, unsigned int resourceType) | |
| Image (void *data, unsigned int resourceType, string file) | |
| Image (void *data, unsigned int dataLength, unsigned int resourceType, string file) | |
| Image (const std::string &fname) | |
| Image (const std::string &fname, const Color &mask) | |
| unsigned int | getWidth () const |
| unsigned int | getHeight () const |
| double | getRotation () |
| void | setAlpha (float f) |
| float | getAlpha () const |
| void | setColor (Color *c) |
| void | setColor (float r, float g, float b, float a) |
| Color * | getColor () const |
| Texture * | getTexture () |
| float | getTextureX () |
| float | getTextureY () |
| float | getTextureW () const |
| float | getTextureH () const |
| float | getTextureX_tl () |
| float | getTextureY_tl () |
| float | getTextureX_tr () |
| float | getTextureY_tr () |
| float | getTextureX_bl () |
| float | getTextureY_bl () |
| float | getTextureX_br () |
| float | getTextureY_br () |
| void | setDirty (bool b) |
| void | clean () |
| void | setCenterOfRotation (int x, int y) |
| int | getCenterOfRotationX () |
| int | getCenterOfRotationY () |
| void | setRotation (double angle) |
| Image * | rotate (double angle) |
| Image * | scale (float x, float y) |
| Image * | flip (bool flipx, bool flipy) |
| Image * | setFlipped (bool flipx, bool flipy) |
| Image * | getSubImage (const SpriteSheetDescription *desc, const char *item) |
| Image * | getSubImage (const SpriteSheetDescriptionItem &desc) |
| Image * | getSubImage (int x, int y, int width, int height) const |
| Image * | getCopy () |
| Image * | getScaledCopy (unsigned int x, unsigned int y) |
| Image * | getScaledCopy (float x, float y) |
| Image * | getFlippedCopy (bool horizontal_flip, bool vertical_flip) |
| void | setSize (int x, int y) |
| void | setWidth (int w) |
| void | setHeight (int h) |
| void | draw () |
| void | draw (int x, int y) |
| void | draw (float x, float y) |
| void | draw (float x, float y, unsigned int w, unsigned int h) |
| void | drawAligned (float x, float y, signed int alignX, signed int alignY, float scale=1.0f) |
| void | drawPivoted (float x, float y, signed int pivotX, signed int pivotY, float scale) |
| void | drawCentered (int x, int y) |
| void | drawCentered (float x, float y) |
| void | drawCenteredFlipped (float x, float y, bool flipx, bool flipy) |
| void | drawCenteredScaled (float x, float y, float scalex, float scaley) |
| void | drawFlipped (float x, float y, bool flipx, bool flipy) |
| void | drawSubImageStart () |
| void | drawSubImage (int x1, int y1, int x2, int y2, int w1, int h1, int w2, int h2) |
| void | drawSubImageEnd () |
| virtual | ~Image () |
| Public Member Functions inherited from ARK::Core::Resource | |
| Resource () | |
| Image * | asImage () |
| Sound * | asSound () |
| ARK::Font::Font * | asFont () |
| LocalHighscores * | asLocalHighscores () |
| TiledMap * | asTiledMap () |
| ARK::Core::String * | asString () |
| PathGroup * | asPathGroup () |
| SpriteSheetDescription * | asSpriteSheetDescription () |
| KeyPairFile * | asKeyPairFile () |
| ARK::Spine::Skeleton * | asSkeleton () |
| virtual | ~Resource () |
Static Public Member Functions | |
| static string | getGlErrorString (int error) |
| static void | showAnyGlErrorAndExit () |
| static void | showAnyGlErrorAndExit (const char *fname, int line) |
| static void * | util_rgba8888_to_rgba4444 (void *src, int cb) |
| static Image * | getDummy () |
| Static Public Member Functions inherited from ARK::Core::Resource | |
| static Resource * | get (string ref) |
| static bool | exists (string ref) |
| static string | latestName () |
| static void | setLatestName (string s) |
| static void | copy (string ref, string ref2) |
Static Public Attributes | |
| static Image * | s_dummy = NULL |
Friends | |
| class | TextureStore |
| class | ARK::Core::Resource |
Additional Inherited Members | |
| Static Protected Member Functions inherited from ARK::Core::Resource | |
| static Resource * | get (string ref, bool appendPath) |
| static bool | exists (string ref, bool appendPath) |
| static RawDataReturns * | getRawData (string ref) |
| static unsigned int | getResourceTypeByExtension (string extension) |
| static void | init () |
| Static Protected Attributes inherited from ARK::Core::Resource | |
| static string | s_latestName |
| ARK::Graphics::Image::Image | ( | unsigned int | resource, |
| unsigned int | resourceType | ||
| ) |
| ARK::Graphics::Image::Image | ( | void * | data, |
| unsigned int | resourceType, | ||
| string | file | ||
| ) |
| ARK::Graphics::Image::Image | ( | void * | data, |
| unsigned int | dataLength, | ||
| unsigned int | resourceType, | ||
| string | file | ||
| ) |
| ARK::Graphics::Image::Image | ( | const std::string & | fname, |
| const Color & | mask | ||
| ) |
| void ARK::Graphics::Image::draw | ( | float | x, |
| float | y, | ||
| unsigned int | w, | ||
| unsigned int | h | ||
| ) |
| void ARK::Graphics::Image::drawAligned | ( | float | x, |
| float | y, | ||
| signed int | alignX, | ||
| signed int | alignY, | ||
| float | scale = 1.0f |
||
| ) |
| void ARK::Graphics::Image::drawCentered | ( | float | x, |
| float | y | ||
| ) |
| void ARK::Graphics::Image::drawCenteredFlipped | ( | float | x, |
| float | y, | ||
| bool | flipx, | ||
| bool | flipy | ||
| ) |
| void ARK::Graphics::Image::drawCenteredScaled | ( | float | x, |
| float | y, | ||
| float | scalex, | ||
| float | scaley | ||
| ) |
| void ARK::Graphics::Image::drawFlipped | ( | float | x, |
| float | y, | ||
| bool | flipx, | ||
| bool | flipy | ||
| ) |
| void ARK::Graphics::Image::drawPivoted | ( | float | x, |
| float | y, | ||
| signed int | pivotX, | ||
| signed int | pivotY, | ||
| float | scale | ||
| ) |
| void ARK::Graphics::Image::drawSubImage | ( | int | x1, |
| int | y1, | ||
| int | x2, | ||
| int | y2, | ||
| int | w1, | ||
| int | h1, | ||
| int | w2, | ||
| int | h2 | ||
| ) |
| Image * ARK::Graphics::Image::flip | ( | bool | flipx, |
| bool | flipy | ||
| ) |
| Image * ARK::Graphics::Image::getFlippedCopy | ( | bool | horizontal_flip, |
| bool | vertical_flip | ||
| ) |
|
static |
| Image * ARK::Graphics::Image::getScaledCopy | ( | unsigned int | x, |
| unsigned int | y | ||
| ) |
| Image * ARK::Graphics::Image::getScaledCopy | ( | float | x, |
| float | y | ||
| ) |
| Image * ARK::Graphics::Image::getSubImage | ( | const SpriteSheetDescription * | desc, |
| const char * | item | ||
| ) |
| Image * ARK::Graphics::Image::getSubImage | ( | const SpriteSheetDescriptionItem & | desc | ) |
| Image * ARK::Graphics::Image::getSubImage | ( | int | x, |
| int | y, | ||
| int | width, | ||
| int | height | ||
| ) | const |
| TargaImage * ARK::Graphics::Image::loadTGA | ( | ) |
| void ARK::Graphics::Image::setCenterOfRotation | ( | int | x, |
| int | y | ||
| ) |
| void ARK::Graphics::Image::setColor | ( | float | r, |
| float | g, | ||
| float | b, | ||
| float | a | ||
| ) |
| Image * ARK::Graphics::Image::setFlipped | ( | bool | flipx, |
| bool | flipy | ||
| ) |
|
static |
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static |
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static |
|
friend |
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friend |


{% extends "constituent/constituent_base.html" %} {% load static sekizai_tags %} {% block title %}Thanks for updating your information{% endblock title %} {% block page_content %} {% add_data "body-class" "public-page" %}
Your information has been successfully updated. Keep an eye out for reminders and updates about key elections in your area, and be sure to get out and vote in 2018!


Python Flask Application Quickstart
Well done! Your fresh new Python Flask application is up and running.


Today
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John Smith has added a new issue to project Daedalus
Liza Berg fixed issue XX-89, view details...
Today
John Smith has added a new issue to project Daedalus
Liza Berg fixed issue XX-89, view details...
Mary Jane has joined project Icarus


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Fantastic DJ! Date INSERT REVIEW HERE |
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When you type an address into a web browser, your computer sends an HTTP request to the server. In response, the server sends back an HTML document. The web browser interprets the HTML document and shows you a nice, clean website.
HTML (Hyper Text Markup Language) consists of the content, or text, of a website as well as the markup, or format. HTML is written using tags and elements. These elements are either inline or block. Block elements appear on their own line with nothing beside them. There are many tags and elements, but below are a couple of the basics.
The <b> tag is used to make text bold, just like fresh mango is used to make a salso bold.
You can use the <i> tag to italicize text. This makes your text slanted and therefore fancier.


Congratulations! You have installed a test application using the knife topo plugin
Here are some commands you can run to look at what the plugin did:
- knife node list
- knife node show dbserver01
- knife node show appserver01
- knife node show appserver01 -a normal
- knife data bag show topologies test1
- cat cookbooks/testsys_test1/attributes/softwareversion.rb
Go to the knife-topo plugin on Github


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