dev/vignettes/not-built-vignettes/example-epimodel.Rmd
example-epimodel.Rmd
The software suite EpiModel (Jenness, Goodreau, and Morris 2018) (R package: EpiModel
) provides a number of tools in order to simulate and analyze epidemic models, especially those of the form \(S \rightarrow I \rightarrow R\), where \(S\) stands for susceptible, \(I\) stands for infectious, and \(R\) stands for recovered.
In this vignette, we walk through how to convert your models from EpiModel and visualize and assess them with EpiCompare.
You will need to install/load the following packages.
EpiModel allows the user to make a variety of compartment models with different disease parameters. We have stored one such example in EpiCompare::EpiModel_det
. You can find more details about this prepared data set with ?EpiCompare::EpiModel_det
.
The below code loads in the object which is of class dcm
, which is a special class from the EpiModel
package. The parameter settings are found with EpiModel_det$param
and more model specification can be found with EpiModel_det$control
.
## [1] "dcm"
EpiModel_det$param
## DCM Parameters
## ===========================
## inf.prob = 0.2
## act.rate = 0.8
## rec.rate = 0.02
## a.rate = 0
## ds.rate = 0
## di.rate = 0
## dr.rate = 0
## vital = TRUE
## groups = 1
EpiCompare provides a function, fortify_aggregate()
to wrangle the data contained in the class dcm
to be used with our pipeline.
fortified_dcm <- fortify_aggregate(EpiModel_det)
## New names:
## * sim -> sim...1
## * sim -> sim...3
## * sim -> sim...5
| t | orig_t | sim | X0 | X1 | X2 |
|---|---|---|---|---|---|
| 1 | 1 | run1 | 900.0000 | 100.0000 | 0.00000 |
| 2 | 2 | run1 | 884.8051 | 113.0665 | 2.12842 |
| 3 | 3 | run1 | 867.9550 | 127.5131 | 4.53186 |
By default, fortify_aggregate
will attempt to find all the relevant states and their counts from the EpiModel
object, but we can specify which ones we want. The existing names can be found with
names(EpiModel_det$epi)
## [1] "s.num" "i.num" "r.num" "si.flow" "ir.flow" "a.flow" "ds.flow"
## [8] "di.flow" "dr.flow" "num"
If we want to look at only the number of infectious at each time step, we can look at
dcm1 <- fortify_aggregate(EpiModel_det, states = c("i.num")) dcm1 %>% head(3) %>% knitr::kable()
| t | orig_t | sim | X0 |
|---|---|---|---|
| 1 | 1 | run1 | 100.0000 |
| 2 | 2 | run1 | 113.0665 |
| 3 | 3 | run1 | 127.5131 |
The function fortify_aggregate
is a tidyverse
styled function meaning it can take as arguments for states either strings or symbolic variables. Note that the variable names are assigned by order given in states
.
dcm2 <- fortify_aggregate(EpiModel_det, states = c(r.num, i.num, s.num))
## New names:
## * sim -> sim...1
## * sim -> sim...3
## * sim -> sim...5
| t | orig_t | sim | X0 | X1 | X2 |
|---|---|---|---|---|---|
| 1 | 1 | run1 | 0.00000 | 100.0000 | 900.0000 |
| 2 | 2 | run1 | 2.12842 | 113.0665 | 884.8051 |
| 3 | 3 | run1 | 4.53186 | 127.5131 | 867.9550 |
We add an identifier for this model data.
fortified_dcm <- fortified_dcm %>% mutate(id = "dcm")
EpiModel also allows the user to create stochastic simulations of SIR models. Like before, we have prepared a pre-made object, EpiCompare::EpiModel_icm
, details of which can be found with ?EpiCompare::EpiModel_icm
. More parameter settings can be found by looking at the EpiModel_icm$control
settings.
## [1] "icm"
EpiModel_det$param
## DCM Parameters
## ===========================
## inf.prob = 0.2
## act.rate = 0.8
## rec.rate = 0.02
## a.rate = 0
## ds.rate = 0
## di.rate = 0
## dr.rate = 0
## vital = TRUE
## groups = 1
Again, we wrangle the data with fortify_aggregate
, which will automatically detect the \(S\), \(I\), and \(R\) compartments by default. We also add an identifier for this model.
fortified_icm <- fortify_aggregate(EpiModel_icm)
## New names:
## * sim -> sim...1
## * sim -> sim...3
## * sim -> sim...5
| t | orig_t | sim | X0 | X1 | X2 |
|---|---|---|---|---|---|
| 1 | 1 | sim1 | 900 | 100 | 0 |
| 1 | 1 | sim2 | 900 | 100 | 0 |
| 1 | 1 | sim3 | 900 | 100 | 0 |
fortified_icm <- fortified_icm %>% mutate(id = "icm")
We now see this model has multiple simulations, as opposed to the deterministic version. We can plot the individual simulations.
library(tidyr) ## Vs time out <- fortified_icm %>% pivot_longer(-c(t, sim, id)) %>% arrange(sim, t) out %>% ggplot() + geom_path(aes(x = t, y = value, group = paste(sim, name)), alpha = .4) + facet_wrap(~name) + labs(title = "State vs. Time")
## Ternary fortified_icm %>% ggplot() + geom_path(aes(x = X0, y = X1, z = X2, group = sim), alpha = .4) + coord_tern() + labs(title = "Ternary View")
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
Finally, we provide the same fortify_aggregate
function to network models produced in EpiModel.
## WARNING: Will take a minute or two set.seed(42) nw <- network.initialize(n = 1000, directed = FALSE) nw <- set.vertex.attribute(nw, "race", rep(0:1, each = 500)) formation <- ~edges + nodefactor("race") + nodematch("race") + concurrent target.stats <- c(250, 375, 225, 100) coef.diss <- dissolution_coefs(dissolution = ~offset(edges), duration = 25) est1 <- netest(nw, formation, target.stats, coef.diss, edapprox = TRUE) param <- param.net(inf.prob = 0.1, act.rate = 5, rec.rate = 0.02) status.vector <- c(rbinom(500, 1, 0.1), rep(0, 500)) status.vector <- ifelse(status.vector == 1, "i", "s") init <- init.net(status.vector = status.vector) control <- control.net(type = "SIR", nsteps = 100, nsims = 100, epi.by = "race") sim_output <- netsim(est1, param, init, control)
class(sim_output)
## [1] "netsim"
names(sim_output$epi)
## [1] "s.num" "s.num.race0" "s.num.race1" "i.num" "i.num.race0"
## [6] "i.num.race1" "r.num" "r.num.race0" "r.num.race1" "num"
## [11] "num.race0" "num.race1" "ir.flow" "si.flow"
fortified_net <- fortify_aggregate(sim_output, states = c("s.num", "i.num", "r.num"))
## New names:
## * sim -> sim...1
## * sim -> sim...3
## * sim -> sim...5
We can then plot the simulations and a 95% confidence band.
fortified_net %>% ggplot() + geom_prediction_band(aes(x = X0, y = X1, z = X2, t = t, sim_group = as.numeric(sim)), alpha = .2, fill = "blue", color = "blue", conf_level = .9, pb_type = "delta_ball") + geom_line(aes(x = X0, y = X1, z = X2, group = sim), alpha = .2) + coord_tern() + theme_zoom_L(.45)
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Due to dist_params$dist_approach = "equa_dist", this may take a little while - see `filament_compression` examples for a work-around if you're making this plot multiple times
Jenness, Samuel, Steven Goodreau, and Martina Morris. 2018. “EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks.” Journal of Statistical Software, Articles 84 (8): 1–47. https://doi.org/10.18637/jss.v084.i08.


this will save us from hardforking to fix bugs in contracts
we can always hardfork to add them if we have the need
ComputerGenie 👴👴👴25-Jan-19 05:04 AM
debug them on a test chain and then add?
Alright25-Jan-19 05:04 AM
main chain should hardfork as little as possible
ComputerGenie 👴👴👴25-Jan-19 05:05 AM
how many branches are you figuring for repo hierarchy?
Alright25-Jan-19 05:06 AM
blackjok3r -> dev -> master for main chain things
<your_name> for your own branch/chain
<your_name> branch would be the "master" branch for your chain
smk762 - dracocanis ominator25-Jan-19 05:07 AM
CH3CH2CH3
1
CrisF25-Jan-19 05:07 AM
Any need for a faucet on mainchain?
ComputerGenie 👴👴👴25-Jan-19 05:07 AM
<your_name> branch would be the "master" branch for your chain
That could end up being one huge messy repo, no?
Alright25-Jan-19 05:08 AM
I don't think we will need branches for each chain eventually because of ac_cclib
just a separate file for each chain in a single branch
but for now, I think it's best to have separate branches
@CrisF not sure, do we?
blackjok3r25-Jan-19 05:10 AM
main chain import export only is a great idea
Alright25-Jan-19 05:10 AM
can have faucet on separate chain then import to main if you need them there
1
blackjok3r25-Jan-19 05:10 AM
forces ppl to use migrates
Alright25-Jan-19 05:10 AM
also prevents hardforks
1
we can always add contracts to main chain
but they must be truly battle tested
simple bug in any contract can be a hardfork
so dealing with CEXs, getting all notaries to update, all pools, everything
blackjok3r25-Jan-19 05:12 AM
idea of main chain, was to basically never have to fork it
Alright25-Jan-19 05:13 AM
except every 2 months
or do we have a better solution for that yet
blackjok3r25-Jan-19 05:13 AM
kind of
its not really up there on my list yet
We need to enable ratification.
then make it work
The problem with it jaems said was that notaries never did it... So to make them do it... we make the ratification tx the tx that pays them.(edited)
This places the notaries on chain
when they see the ratification... they know at X block to use this new set of keys
Alright25-Jan-19 05:14 AM
must be signed by all current notaries or what
blackjok3r25-Jan-19 05:14 AM
its a notarisation(edited)
Alright25-Jan-19 05:15 AM
should probably be more min sigs than a typical notarization(edited)
blackjok3r25-Jan-19 05:15 AM
look... I didnt make it and OI dont even know how it works... I proposed that the notaries could be in a tx on chain,, rather than int he source code... james said ratification already does this but its not used
Alright25-Jan-19 05:16 AM
no worries, long term goals
blackjok3r25-Jan-19 05:16 AM
havent had time to figure out whatit actaully does
for now a hard fork every 2 months isnt that bad
Alright25-Jan-19 05:17 AM
what are we defining "2 months" as
literally by the calendar or by estimated block times
blackjok3r25-Jan-19 05:18 AM
the code works with timestamps
decided by us at this point(edited)
anyone with git access could change it :S
Alright25-Jan-19 05:19 AM
so call it noon UTC on first day of the month every 2 months?
import coin I think only... payout was some testing mode
probably best to disable it
just incase there is some bug with it
we should launch the entire cluster in test mode today. So ppl can play with it over weekend, see if any issues
Alright25-Jan-19 05:22 AM
sure, let me figure out notary payout chain
blackjok3r25-Jan-19 05:22 AM
yeah... I was thinking to just leave it on main chain... but having a seperat chain is much better idea
Alright25-Jan-19 05:22 AM
or well let's launch main test chain then I'll do that
mastertest?
or master
blackjok3r25-Jan-19 05:23 AM
Yeah..
Alright25-Jan-19 05:44 AM
just changed stakedchain org name to KMDLabs
likely to cause a bit of trouble at first, so just bear with us as we fix everything
2
2
ComputerGenie 👴👴👴25-Jan-19 05:55 AM
no, get it done now
blackjok3r25-Jan-19 06:07 AM
STAKED4 still has a peer
1
"addr": "<IP_ADDRESS>:25798"
Just loaded it up from bootastrap from my webserver... it laoded and had a peer
Alright25-Jan-19 06:27 AM
I'm making dirty black hat changes to this airdrop onto test chain
first person to find all of them gets 200 KMD
doing this to demonstrate how important it is to verify the airdrop was done properly
ComputerGenie 👴👴👴25-Jan-19 06:28 AM
fwiw (because I like to try shit)...
if you run 0pay:
./komodod -ac_name=OUR -ac_reward=1478310502 -ac_halving=525600 -ac_cc=42 -ac_supply=100000000 -ac_perc=77700 -ac_staked=93 -ac_pubkey=02652a3f3e00b3a1875a918314f0bac838d6dd189a346fa623f5efe9541ac0b98c -ac_public=1 -pubkey=02116493d41c84bdb6ec4806870312307fee732943bf496294b34e7df551fc60b4
with the branch you asked for testing
if yousetgenerate true 0 and try to run a pool as well
it will lock up
423 seconds until elegible, waiting.
383 seconds until elegible, waiting.
362 seconds until elegible, waiting.
319 seconds until elegible, waiting.
255 seconds until elegible, waiting.
3 seconds until elegible, waiting.
until timer is up
@blackjok3r
Alright25-Jan-19 06:29 AM
I was helping them test the params, but wasn't told it would be launched so soon
blackjok3r25-Jan-19 06:30 AM
ahh so its trying to stake with a pool?
Alright25-Jan-19 06:30 AM
now it's "Alright said it was fine"
ComputerGenie 👴👴👴25-Jan-19 06:30 AM
wasn't told it would be launched so soon
MGNX Jr.?

Alright25-Jan-19 06:34 AM
well you buried it as soon as I posted it
not surprised you didn't see it
look up there^
ComputerGenie 👴👴👴25-Jan-19 06:35 AM
I guess I could learn how airdrops work and see what I can see


Class: Aws::SSM::Types::ResourceDataSyncSourceWithState
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-ssm/lib/aws-sdk-ssm/types.rb |
Overview
The data type name for including resource data sync state. There are four sync states:
OrganizationNotExists
(Your organization doesn't exist)
NoPermissions
(The system can't locate the service-linked role.
This role is automatically created when a user creates a resource data
sync in Amazon Web Services Systems Manager Explorer.)
InvalidOrganizationalUnit
(You specified or selected an invalid unit
in the resource data sync configuration.)
TrustedAccessDisabled
(You disabled Systems Manager access in the
organization in ::Aws::Organizations
.)
Constant Summary
Instance Attribute Summary
-
#aws_organizations_source ⇒ Types::ResourceDataSyncAwsOrganizationsSource
rw
The field name in
SyncSource
for theResourceDataSyncAwsOrganizationsSource
type. -
#enable_all_ops_data_sources ⇒ Boolean
rw
When you create a resource data sync, if you choose one of the
::Aws::Organizations
options, then Systems Manager automatically enables all OpsData sources in the selected Amazon Web Services Regions for all Amazon Web Services accounts in your organization (or in the selected organization units). -
#include_future_regions ⇒ Boolean
rw
Whether to automatically synchronize and aggregate data from new Amazon Web Services Regions when those Regions come online.
-
#source_regions ⇒ Array<String>
rw
The
SyncSource
Amazon Web Services Regions included in the resource data sync. -
#source_type ⇒ String
rw
The type of data source for the resource data sync.
-
#state ⇒ String
rw
The data type name for including resource data sync state.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Aws::Structure#to_h. |
Instance Attribute Details
#aws_organizations_source ⇒ Types::ResourceDataSyncAwsOrganizationsSource (rw)
The field name in SyncSource
for the
ResourceDataSyncAwsOrganizationsSource
type.
# File 'gems/aws-sdk-ssm/lib/aws-sdk-ssm/types.rb', line 15934
class ResourceDataSyncSourceWithState < Struct.new( :source_type, :aws_organizations_source, :source_regions, :include_future_regions, :state, :enable_all_ops_data_sources) SENSITIVE = [] include Aws::Structure end
#enable_all_ops_data_sources ⇒ Boolean
(rw)
When you create a resource data sync, if you choose one of the
::Aws::Organizations
options, then Systems Manager automatically enables
all OpsData sources in the selected Amazon Web Services Regions for
all Amazon Web Services accounts in your organization (or in the
selected organization units). For more information, see About
multiple account and Region resource data syncs in the Amazon
Web Services Systems Manager User Guide.
# File 'gems/aws-sdk-ssm/lib/aws-sdk-ssm/types.rb', line 15934
class ResourceDataSyncSourceWithState < Struct.new( :source_type, :aws_organizations_source, :source_regions, :include_future_regions, :state, :enable_all_ops_data_sources) SENSITIVE = [] include Aws::Structure end
#include_future_regions ⇒ Boolean
(rw)
Whether to automatically synchronize and aggregate data from new Amazon Web Services Regions when those Regions come online.
# File 'gems/aws-sdk-ssm/lib/aws-sdk-ssm/types.rb', line 15934
class ResourceDataSyncSourceWithState < Struct.new( :source_type, :aws_organizations_source, :source_regions, :include_future_regions, :state, :enable_all_ops_data_sources) SENSITIVE = [] include Aws::Structure end
#source_regions ⇒ Array
<String
> (rw)
The SyncSource
Amazon Web Services Regions included in the
resource data sync.
# File 'gems/aws-sdk-ssm/lib/aws-sdk-ssm/types.rb', line 15934
class ResourceDataSyncSourceWithState < Struct.new( :source_type, :aws_organizations_source, :source_regions, :include_future_regions, :state, :enable_all_ops_data_sources) SENSITIVE = [] include Aws::Structure end
#source_type ⇒ String
(rw)
The type of data source for the resource data sync. SourceType
is
either AwsOrganizations
(if an organization is present in
::Aws::Organizations
) or singleAccountMultiRegions
.
# File 'gems/aws-sdk-ssm/lib/aws-sdk-ssm/types.rb', line 15934
class ResourceDataSyncSourceWithState < Struct.new( :source_type, :aws_organizations_source, :source_regions, :include_future_regions, :state, :enable_all_ops_data_sources) SENSITIVE = [] include Aws::Structure end
#state ⇒ String
(rw)
The data type name for including resource data sync state. There are four sync states:
OrganizationNotExists
: Your organization doesn't exist.
NoPermissions
: The system can't locate the service-linked role.
This role is automatically created when a user creates a resource
data sync in Explorer.
InvalidOrganizationalUnit
: You specified or selected an invalid
unit in the resource data sync configuration.
TrustedAccessDisabled
: You disabled Systems Manager access in the
organization in ::Aws::Organizations
.
# File 'gems/aws-sdk-ssm/lib/aws-sdk-ssm/types.rb', line 15934
class ResourceDataSyncSourceWithState < Struct.new( :source_type, :aws_organizations_source, :source_regions, :include_future_regions, :state, :enable_all_ops_data_sources) SENSITIVE = [] include Aws::Structure end


{% extends "base.html" %} {% block content %}
Welcome to a simple knowledge app, a website developed by BC2!
To start click the links on the left navbar!
The Quiz app has the following record counts:


The Gini coefficient is a measure of inequality. It can change in response
to policy decisions, national and international events, and economic
factors. This scatter plot displays changes in the coefficient for
any two years. Only those African countries for which data
are available in both selected years appear on the plot.
Hover and click on each point on plot for more data.
From
to
Data are from the
UNU-WIDER World Income Inequality Database version 3.4 (WIID3.4).
For each country and year, all available Gini scores were averaged. See README for further details.
Visualization by Julian H. Lange


--- title: The Four Elements of Simple Design layout: post ---
I define simple design this way. A design is simple to the extent that it: Passes its tests Minimizes duplication Maximizes clarity Has fewer elements
I define simple design this way. A design is simple to the extent that it:
Man, JB's blog is awesome.


Name : Ismail Nurudeen
Age : 17 years
Nationality : Nigerian
Super-Powers :Front-end Web Development,
Android Development & UI/UX Design
I develop Apps for the Android Platform using Java and other Android development tools.
I am currently pursuing a front-end development career using FreeCodeCamp and other available open source Materials.
I Am good with HTML and CSS.
I like trying out my Intermediate skills on some freelance jobs.
If you have any basic job you want done...Just fill the form in the Contact section below.


Laser
My first task during this rotation was to make a simple, cardboard box that was fit together using a design and laser cut. I rastered a skull and crossbones on the front, fitting with my pirate theme.
My second task was to make a press-fit kit, a kind of cheap lego. I simply made the shapes I wanted in coreldraw and then drew .25 inch slots on each side of the shapes. It came out well and worked. Here's the kit:
My third task was to create a coaster made from cork. I created a sailboat design in coreldraw and rastered that onto the cork circle. It came out clean and has functioned as a coaster in my room since. Here it is:
My final laser cutting task was to create my own rubber bracelet. I decided to go with a pirate theme with this as well. I used the wooden guide block and the bracelet to measure and then I made a design on coreldraw. It took me two attempts to perfect this but it came out well in the end. Here it is:


espace.js | macros
Nested expressions can also be matched. Check out this example.
Macro processor supports rest variables. Check out this or this example.
The macro processor can generate unique variable names, if needed - just use the "_" prefix. Check out this example.


Welcome to Quick.JS
Go to page 2
Time for some sanity checks:
[[data.firstline]]
[[data.secondline]]
If both of the above make sense, the sanity checks have passed.
Quick.JS is different.
Hello! My name is [[data.test]]
Go to page 3
Everything is 1 page.
Go to page 4
It's simple, and good for things like websockets.
Go to page 5
There's plenty more to come...
Go back to page 1


I'm a Software developer with ML/DL and Cyber Security enthusiast and focus on Backend Development. I'm passionate about coding and solving problems and learning day by day to improve my skills.
I love exploring new Technologies. I also worked on iOS app development.
View ResumeA Web application to test programs in programming contests. They are also used to practice for such contests. The system can compile and execute your code, and test your code with pre-constructed data.
A web application for managing the attendance & their related kinds of stuff like exams scheduler, marks etc. And also take the attendance using Facial-Recognition.
A Web application for Managing the employees’ profiles to include payroll and wage information. wher admin can create a new job posting and User can submit an application and resume. And also can effectively use the applicant tracking system and hire a new employee.
An iOS application is to manage & create audits of atms under the organizations. And also Manages expenses throughout the audits.
Would you like to collabrate with me? Awesome!
Let's build together!


About
Work
Projects
Resume
Blog
Anuraag Yachamaneni
Student | Developer | Entrepreneur | Redskins Fan
About Me
Student | Developer | Entrepreneur | Redskins Fan


Job Table
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|
mitgcm
Analysis of MITgcm output using python
|
Useful functions that don't belong elsewhere. More...
Functions | |
| def | calc_surface |
| Calculate an isosurface of input_array. More... | |
| def | extract_on_surface (input_array, surface_locations, axis_values) |
| Extract the value of a 3D field on a 2D surface. More... | |
| def | layer_integrate |
| Integrate between two non-trivial surfaces, 'upper_contour' and 'lower_contour'. More... | |
| def | test_layer_integrate () |
| def | interp_field |
| Interpolate a given field onto a different grid. More... | |
| def | export_binary |
| Export binary files that can be imported into the MITgcm. More... | |
| def | show_variables (netcdf_filename) |
| A shortcut function to display all of the variables contained within a netcdf file. More... | |
| def | plt_mon_stats |
| Plot some monitor file variables. More... | |
| def | replace_nans |
| Replace NaN elements in an array using an iterative image inpainting algorithm. More... | |
| def | numerics_replace_nans (max_iter, n_nans, inans, jnans, filled, kernel, kernel_size, tol, replaced_new, replaced_old) |
| def | shift_vort_to_T (array) |
| Shift the array from vorticity points to the corresponding tracer point. More... | |
| def | shift_U_to_T (array) |
| Shift the array from UVEL points to the corresponding tracer point. More... | |
| def | shift_V_to_T (array) |
| Shift the array from VVEL points to the corresponding tracer point. More... | |
| def | shift_W_to_T (array) |
| Shift the array from WVEL points to the corresponding tracer point. More... | |
Useful functions that don't belong elsewhere.
A collection of functions for analysing model output. These include functions to extract surfaces at a constant value of some variable and extract a variable on a surface.
Each function has a detailed docstring.
| def mitgcm.functions.calc_surface | ( | input_array, | |
| surface_value, | |||
| axis_values, | |||
method = 'linear' |
|||
| ) |
Calculate an isosurface of input_array.
This function is fast, but it is not designed to deal well with non-monotonicity in the search direction.
There are two search options:
May give silly answers if input_array is not monotonic in the search direction.
Definition at line 21 of file functions.py.
| def mitgcm.functions.export_binary | ( | filename, | |
| field, | |||
dtype = 'float64' |
|||
| ) |
Export binary files that can be imported into the MITgcm.
The files are big endian, and the datatype can either be 'float64' (= double precision), or 'float32' (=single precision).
Might not work for very large datasets.
Definition at line 349 of file functions.py.
| def mitgcm.functions.extract_on_surface | ( | input_array, | |
| surface_locations, | |||
| axis_values | |||
| ) |
Extract the value of a 3D field on a 2D surface.
This function takes an 3 dimensional matrix 'input_array' and an 2 dimensional matrix 'surface_locations' and returns a 2 dimensional matrix that contains the values of input_array at the location specified by surface_locations along the third dimension using the values for that axis contained in 'axis_values'. Linear interpolation is used to find the values.
Definition at line 107 of file functions.py.
| def mitgcm.functions.interp_field | ( | field, | |
| old_x, | |||
| old_y, | |||
| new_x, | |||
| new_y, | |||
| interp_order, | |||
fill_nans = 'no' , |
|||
max_its = 5 |
|||
| ) |
Interpolate a given field onto a different grid.
Only performs interpolation in the horizontal directions.
Definition at line 295 of file functions.py.
| def mitgcm.functions.layer_integrate | ( | upper_contour, | |
| lower_contour, | |||
| grid_obect, | |||
integrand = 'none' , |
|||
interp_method = 'none' |
|||
| ) |
Integrate between two non-trivial surfaces, 'upper_contour' and 'lower_contour'.
At the moment this only works if all the inputs are defined at the same grid location.
The input array 'integrand' is optional. If it is not included then the output is the volume per unit area (difference in depth) between the two surfaces at each grid point,
Definition at line 148 of file functions.py.
| def mitgcm.functions.numerics_replace_nans | ( | max_iter, | |
| n_nans, | |||
| inans, | |||
| jnans, | |||
| filled, | |||
| kernel, | |||
| kernel_size, | |||
| tol, | |||
| replaced_new, | |||
| replaced_old | |||
| ) |
Definition at line 610 of file functions.py.
| def mitgcm.functions.plt_mon_stats | ( | netcdf_filename, | |
variables = ['advcfl_uvel_max' , |
|||
| advcfl_vvel_max, | |||
| advcfl_wvel_max, | |||
time_units = 'days' , |
|||
output_filename = None |
|||
| ) |
Plot some monitor file variables.
'netcdf_filename' can contain shell wild cards, but only the first matching file will be used.
Options include:
Definition at line 378 of file functions.py.
| def mitgcm.functions.replace_nans | ( | array, | |
| max_iter, | |||
| tol, | |||
| kernel_size, | |||
method = 'localmean' |
|||
| ) |
Replace NaN elements in an array using an iterative image inpainting algorithm.
The algorithm is the following:
1) For each element in the input array, replace it by a weighted average of the neighbouring elements which are not NaN themselves. The weights depends of the method type. If method=localmean
weight are equal to 1/( (2*kernel_size+1)**2 -1 )
2) Several iterations are needed if there are adjacent NaN elements. If this is the case, information is "spread" from the edges of the missing regions iteratively, until the variation is below a certain threshold.
array : 2d np.ndarray an array containing NaN elements that have to be replaced
max_iter : int the number of iterations
tol: float the difference between subsequent iterations for stopping the algorithm
kernel_size : int the size of the kernel, default is 1
method : str the method used to replace invalid values. Valid options are localmean
.
filled : 2d np.ndarray a copy of the input array, where NaN elements have been replaced.
Code for this function is (very slightly modified) from https://github.com/gasagna/openpiv-python/commit/81038df6d218b893b044193a739026630238fb22#diff-9b2f4f9bb8180e4451e8f85164df7217 which is part of the OpenPIV project.
Definition at line 422 of file functions.py.
| def mitgcm.functions.shift_U_to_T | ( | array | ) |
Shift the array from UVEL points to the corresponding tracer point.
Definition at line 668 of file functions.py.
| def mitgcm.functions.shift_V_to_T | ( | array | ) |
Shift the array from VVEL points to the corresponding tracer point.
Definition at line 674 of file functions.py.
| def mitgcm.functions.shift_vort_to_T | ( | array | ) |
Shift the array from vorticity points to the corresponding tracer point.
Definition at line 662 of file functions.py.
| def mitgcm.functions.shift_W_to_T | ( | array | ) |
Shift the array from WVEL points to the corresponding tracer point.
Definition at line 680 of file functions.py.
| def mitgcm.functions.show_variables | ( | netcdf_filename | ) |
A shortcut function to display all of the variables contained within a netcdf file.
If the filename contains wildcards, they'll be expanded and only the first file used.
Definition at line 363 of file functions.py.
| def mitgcm.functions.test_layer_integrate | ( | ) |
Test function to check that the layer integrate function is working correctly.
Definition at line 281 of file functions.py.


Input regex(JavaScript) here to filter tweets.
Filter tests for text (Only tests, If you want to save regex you enter, you should press the "Save" button.)
Regex examples
- 42
- All your bases are belong to us
- shit|fuck|bastard
- [mM]other ?[fF]ucker
- [mM]ake \w* [gG]reat [aA]gain
- 42|All your bases are belong to us|shit|fuck|bastard|[mM]other ?[fF]ucker|[mM]ake \w* [gG]reat [aA]gain
If you didn't know regex, you should watch the official page. -> From Here
For developers, the source code is in My GitHub Page. I wait for your pull requests :)
日本語の詳細ページはこちら -> ブログ


OMG! We're super excited to serve you!
Our mantra: Just do what you love, we'll do the grocery shopping for you.
Our vision: To provide our users the best online grocery shopping ever.
Need help with your orders? Just fire a message and our friendly OMG! staff will be there to assist you. As we are still on beta, we're pretty sure you'll be as understanding as you can be. Coz you're cool like that ; ). And we really appreciate that. Our assurance: we won't stop until all is good. Okie dokie. Have a fantastic day!


{% extends "layout.html" %} {% block title %}Password Reset: Check Your Email{% endblock %} {% block body %}
We've sent an email with instructions on how to reset your password.


You can now have dinner at the Houses of Parliament
Because everyone wants to dine at the home of Brexit, right?
With an election looming and the country in chaos there is an upside to all the madness currently taking place inside the Palace of Westminster: over the next two months, you will be able to dine in style at the Member’s Dining Room in the actual Houses of Parliament.
The reason we’ve all been given this rare opportunity is that parliament is currently not in session. Normally the space is reserved for MPs and their guests but because of next month’s election, the restaurant is, for now, empty.
Why should you nab a spot at the parliamentary table? First of all, it’s a rare opportunity to eat inside the place. Whilst it is our constitutional right to be granted access to the palace, the invitation does not extend beyond the designated tour routes.
Advertisement Advertisement
Plus, the last time the country had a December election was way back in 1923, so yes, this is basically a once-in-a-lifetime gig.
Price wise, the £55 (£45 for lunch) priced seasonal set menu is pretty decent. Celebrating locally sourced British produce, expect everything from venison to cord-fed chicken and halibut, as well as rabbit and beef dishes to start. For dessert, think a very chewy pavlova, a chocolate orange delice and lots and lots of British cheeses.
Architecturally, the Member’s Dining Room is Insta goals. Tux and tail waiters hover in between white tablecloths and political-themed art-lined walls, along with other highlights such as high Victorian ceilings, massive windows (with views looking over the Commons Terrace) and some rather chic oak panels – it’s very pretty.
Diners can currently book in for numerous dates for both lunch (12pm to 2pm) and dinner (6.30pm to 7.45pm) between 26 November and 5 December 2019.
Dress code? Smart casual, but boys take note: collared shirts, long trousers and fancy shoes are preferred.
Oh, and you can also get totally sloshed in the bar pre or post-lunch and dinner reservations. Cheers to that.
You can book your table here.


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Kylie Jenner's stalker sentenced to prison
by Bashiera Parker (@bparks_)Cape Town – Kylie Jenner's stalker has just been sentenced to jail.
Channel24 reported not too long ago that Kylie got a restraining order against an obsessed fan who walked up her driveway and started "aggressively" banging on her door. In court documents, Kylie said, "I have suffered, and continue to suffer emotional distress. I have a young child and also fear for her safety."
The man was later determined to have been under the influence and had a glass pipe on him when he was arrested. He was charged with misdemeanour trespassing by driving on private property, and a felony for bringing contraband into the jail, and was ordered to stay 100 yards away from her, her workplace, her property and her car.
Now, TMZ updated that according to documents obtained from the L. A. County Superior Court clerk, Brandon Sevilla Martinez pled no contest to the charges and has been sentenced to one year in prison.
He will serve his sentence in the L. A. County Jail. Further, he was also given three years probation and is to continue to stay 100 yards from Hidden Hills – the area in which Kylie lives.
A hearing has also been set to extend the temporary restraining order.
Compiled by Bashiera Parker (Sources: Channel24 , TMZ )
(Photo: Getty Images)


Hey guys,
So I just finished my first week in berk. It was fun. My roomate is exactly like will guys, just a litte bit smarter. IDK if you have seen my snapchats but he pretty much just plays Video games. Funny enough his research is in like virtural reality. I have been having this thought that people who are really into games are seperate from their true reality. So much so that the game has become their sudo reality to avoid the harsh truths of real life. I belive Jimi is intersted in VR as a way to escape the real world if the tech ever become realvant.
Anyhow, the first week of bootcamp was ok. We had like 8 hour days inside this like one room, with like just us 8 guys in their which was interesting. The people in Ihouse are generally nice, it is pretty easy to catch a conversation with one of them. I have this guy in the program, Andy, who is a true extrovert and is always able to talk with people easily. I have been hanging with him as an attempt to meet people through the guy.
I have had time to go to the gym and stuff. If only I had a certain someone to spot me. Some one whose name rymths with mevan….
We havent really started research yet but we will this next week. I hope its fun man. And ill also get the opportunity to network with some people hopefully so that will be good as well. The more I think about it I am extremly lucky to be here. I will make sure to give my all as i begin this new part of my life.
If you guys ever want to skype just message me, ill always be able to find time if you guys want to. And if you really want to have fun you guys can drive up here and see me in person.
But either way we will have a week when I come back to hang and smoke whatever.
Stay chill, Michael (Original bub)


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Amazon VS Heroku
Heroku
Pro's
- Heroku offers PasS, i.e. Platform as a Service. PaaS gives you an environment where you just push code and some basic configuration and get a running applicatoin
- You can deploy your app by pushing your code into a git repo provided by Heroku
- No system maintenance required; all handled by Heroku
- You can easily install multiple horizontal app instances on Heroku
- Web interface is easy to use and well designed
- Easy to add other services through add-ons
- Heroku automatically load balances and routes visitors to all available dynos
- Auto configuration of PostGIS, taking a ton of overhead out of our plate
- Auto-scaling during peak use with no input needed on our end; it's fully automated and monitored
Con's
- Heroku is free to use for the first dyno. The cost increases steeply as you increase dynos. When this because an actual conversation is when we reach the point that we're forced to think about ease vs money
- CLI client works well for the most part except it can't manage multiple Heroku accounts
- Can't save any files on Heroku explicitly; only achieved through pushing into the git repo
- No way to increase RAM, storage, or CPU performance.
- Additional storage must be hosted separately through a service like Amazon S3
- Application performance can only be improved by increasing the number of running dynos
- No other services (like Redis) can be run on dynos. Dynos are strictly for application processes. Databases, background workers, and other services usually cost extra through Heroku's add-ons or third-party services
- No way to install system software. Heroku does provide some commonly-used packages such as ImageMagik, but if we need anything else, it's hack time
Amazon AWS
Pro's
- AWS offers IaaS, i.e. Infrastruction as a Service. IaaS gives you components you need in order to build things on top of it
- Larger apps are better suited for AWS in terms of cost
- You have control over the file system in AWS; just clike a dedicated server with root access
- Easy to upgrade hardware requirements according to our needs
- Can run services like Redis or delayed job easily on AWS
- You can install any system software like wkhtmltopdf or ImageMagik easily
Con's
- You have to deploy your application yourself, either through Chef recipes, Capistrano, or manually
- You have to administer the system yourself. EC2 has machine images of popular distros such as Ubuntu that are easily launched, but after that, it's up to us to keep it up to date and secure
- Scaling horizontally (i.e. launching multiple app instances) is not as easy as with Heroku. With Heroku, you move a slider on their web interface, but with AWS, you better get familiar with Chef if you intend to scale up / down frequently
- AWS is more expensive for the basic offering. There is a free tier that will give you one free micro instance for the first year (only available when you first sign up) but this is not as generous as Heroku's free, unlimited, single
dyno apps.
- Not as easy as Heroku simply because it isn't managed.


I'm a happy family guy, who loves games, science and technology in general. Mostly, I try to learn everything I can. In my opinion, getting your hands dirty is the best way to learn a new skill.
I'm currently a student at ICT college of vocational studies in Belgrade, where I sharpen my development skills while I'm looking for a new company to work for in this interesting field.
I'm a hard worker, committed and self learner. Definitely, I'm not a guru jedi rockstar ninja, but I always get my stuff done.


Road accident claims seven lives in Osun
by Agency ReportThe Federal Road Safety Commission in Osun State on Saturday said that seven persons died in a road accident on Osogbo-Ikirun Road, with only one survivor.
The Sector Commander, Mr Peter Oke, made this known in an interview with News Agency of Nigeria in Osogbo.
“The accident involved a vehicle and a mini-bus with eight passengers which occurred on Osogbo-Ikirun Road in which only one person survived.
“A truck (Mark) with Registration No. FST597XY and a Mistubishi Space Wagon with Registration No. JJJ59CJ collided in the accident.
“All the corpses and the only survivor have been taken to Ladoke Akintola University of Technology Teaching Hospital in Osogbo,” he said.
The sector commander noted that the accident was as a result of speeding without road consciousness.
Oke, however, enjoined motorists to steer clear of anything capable of causing road accidents adding that the command would not spare anyone who went against road traffic regulations.
(NAN)


This page demonstrates the usage of Charty with some basic examples. Charty can do much more complicated things, but if all you want to do is add a chart to a site this page is all you'll need to read.
Before we can add charty elements to our html we need to add the Charty.js file to our html page. It is recommended that you do this asynchronously so that it doesn't block page loading. You can do that with this simple one-liner:

Now that we have Charty in our page, we can start with a really simple example. The first thing we'll do is simply add a point chart to our document and fill it with points from a csv file. This - once again - is a simple one-liner:
<charty-pointchart src="data.csv"></charty-pointchart>
Doesn't look that difficult, eh? With just two lines you can already create this nice looking result:
For our next demo we're going to add a title and short description to our diagram. HTML 5 introduced two new semantic tags: figure and figcaption. You don't have to use these tags, but using them adds additional semantic information to your page, which is generally nice to have. If you wish to not use the figure or figcaption tag, you could for example put the charty tag inside a div container and then add a normal paragraph below it. However the figure and figcaption are a perfect fit for our purpose and therefore we're going to use them in this example.

Title!

<charty-pointchart src="data.csv"></charty-pointchart>

Figure 1.01: description for this chart

So far our charts are pretty nice, but we might want to style them to better fit the rest of the webpage. Doing that is actually pretty simple and no different than styling any other HTMLElement. Charty charts are displayed as 'block' by default. You can change this in css by simply applying a style to the chart. Let's change the chart's height, width and the color of its axis with some simple css. As you can see Charty uses some custom css Properties:
charty-pointchart {
--charty-axis-color: #f00;
height: 400px;
width: 400px;
}


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @(params: Map[String, Any]) @uk.gov.hmrc.hmrcemailrenderer.templates.helpers.html.template_main(params, "You applied to cancel your registration for transitional simplified procedures"){
Dear @params("appName")
HMRC received your request to cancel your registration from transitional simplified procedures.
Your submission reference is: @params("submissionReference")
We will cancel your registration for transitional simplified procedures and write to you to let you know that your registration has been cancelled.
We send a confirmation email for an application submitted online.
From HMRC Transitional Simplified Procedures team
}


Trying to find which section has a higher average from 2 existing files (notepads)then writing the result to a third. However i'm getting that last 1,last 2, first 1, and first 2 are illegal function definitions or some such error. This is the first time i use files so any hints would be appreciated.
#include <iostream>
#include <fstream>
#include <iomanip>
using namespace std;
{
[double average1;
double average2;
double grade1;
double grade2;
double sum1;
double sum2;
sum1=0;
sum2=0;
char first1 {50}; //First name
char last1 {50}; //Last name
char first2 {50};
char last2 {50};
double gradecount1;
double gradecount2;
gradecount1=0;
gradecount2=0;
ifstream inClientFile1("eece331sec1*.txt"); //First file opening
if (!inClientFile1)
{
cerr<<"File could not be opened!";
exit(1);
}
if (inClientFile1.is_open())
{
while (first1>>" ">>last1>>" ">>grade1) //reading the file
{
sum1=sum1+grade1;
gradecount1++;
}
average1=floor(sum1*100/gradecount1+0.5)/100; //First average computed
}
ifstream inClientFile2("eece331sec2*.txt"); //Second file opening
if(!inClientFile2)
{
cerr<<"File could not be opened!";
exit(1);
}
if (inClientFile2.is_open)
{
while (first2>>" ">>last2>>" ">>grade2) //reading the file
{
sum2=sum2+grade2;
gradecount2++;
}
average2=floor(sum2*100/gradecount2+0.5)/100; //Second average computed
}
if (average2>average1) //Comparing averages to determine what should be written
{
ofstream outClientFile1("eece331secresults*.txt");
{
cout<<"Section 2 has a higher average: "<<average2;
}
}
if (average1>average2)
{
ofstream outClientFile2("eece331secresults*.txt");
{
cout<<"Section 1 has a higher average: "<<average1;
}
}
if (average1==average2)
{
ofstream outClientFile3("eece331secresults*.txt");
{
cout<<"Both sections had an average of: "<<average1;
}
}
return 0;
}
There's other errors I think but foremost, you should change void main() to int main().
You should also put your code around code tags [code](code here)[/code] for proper readability and indentation.
Other stuff:
* can't be used in a file name is most OSes, so your file streams will most likely fail to open.
~line 57, is_open needs to have parenthesis after it, it's a function.


Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,Decimal
value )
Plot a chart using string series name, with value.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,Double
value )
Plot a chart using string series name, with double value.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,Int32
value )
Plot a chart using string series name, with int value.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,Single
value )
Plot a chart using string series name, with float value.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,String
series,Double
value )
Plot a chart to string chart name, using string series name, with double value.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,String
series,Int32
value )
Plot a chart to string chart name, using string series name, with int value.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,String
series,Single
value )
Plot a chart to string chart name, using string series name, with float value.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,String
series,Decimal
value )
Plot a value to a chart of string-chart name, with string series name, and decimal value. If chart does not exist, create it.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,Double
open,Double
high,Double
low,Double
close )
Plot a candlestick to the default/primary chart series by the given series name.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,Single
open,Single
high,Single
low,Single
close )
Plot a candlestick to the default/primary chart series by the given series name.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,Int32
open,Int32
high,Int32
low,Int32
close )
Plot a candlestick to the default/primary chart series by the given series name.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,Decimal
open,Decimal
high,Decimal
low,Decimal
close )
Plot a candlestick to the default/primary chart series by the given series name.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,String
series,Double
open,Double
high,Double
low,Double
close )
Plot a candlestick to the given series of the given chart.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,String
series,Single
open,Single
high,Single
low,Single
close )
Plot a candlestick to the given series of the given chart.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,String
series,Int32
open,Int32
high,Int32
low,Int32
close )
Plot a candlestick to the given series of the given chart.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,String
series,Decimal
open,Decimal
high,Decimal
low,Decimal
close )
Plot a candlestick to a chart of string-chart name, with string series name, and decimal value. If chart does not exist, create it.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,TradeBar
bar )
Plot a candlestick to the given series of the given chart.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,String
series,TradeBar
bar )
Plot a candlestick to the given series of the given chart.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,IndicatorBase>
indicators )
Plots the value of each indicator on the chart.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
series,PyObject
pyObject )
Plot a chart using string series name, with value.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,Indicator
first,*Indicator
second,*Indicator
third,*Indicator
fourth )
Plots the value of each indicator on the chart.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,BarIndicator
first,*BarIndicator
second,*BarIndicator
third,*BarIndicator
fourth )
Plots the value of each indicator on the chart.
Void QuantConnect.Algorithm.QCAlgorithm.Plot (String
chart,TradeBarIndicator
first,*TradeBarIndicator
second,*TradeBarIndicator
third,*TradeBarIndicator
fourth )
Plots the value of each indicator on the chart.


Capture Crop Create(3C) uses
Imgur to host your image when you share it to other platforms like Twitter, Facebook, Pinterest etc...
The next page will ask you to link your Imgur account to 3C. If you don't have an Imgur account, you can create one using
your Twitter, Facebook or Google Account on the next page.
If you don't want to use Imgur, click 'go back' below, save the image to your hard drive and share it manually from your
platform of your choice!


Configuring Cache Settings for a Module
How to set the provider used for cached files and set the period before the cache in DNN refreshes.
-
- Select the Page Settings tab.
- Go to the Cache Settings section.
- At Output Cache Provider, select the provider to use for this page from these options:
- None Specified: Select to disable caching. It this option is selected, skip to Step 6.
- File: Choose this option to save cached items to a file system. This option is suitable for a shared hosting environment. This is the default setting.
- Memory: This is the fastest caching method. Select this option if you have web site has a large amount of RAM allocated. This is typically not suitable for a shared hosting environment.
- In the Cache Duration (Seconds) text box, enter the duration (in seconds) the information for this page will be refreshed. The default setting is 1200. I.e. Entering 60 will mean that every 60 seconds DNN will refresh module content from the database. Set to a low number like 0 if your module content changes frequently or set it to a higher number like 1200 if the content doesn't change all that often and you would like better performance out of your site.
- Click the OK button to confirm.


Dogecoin Core [DOGE, Ð]
==========================
What is Dogecoin? – Such coin
Dogecoin is a cryptocurrency like Bitcoin, although it does not use SHA256 as its proof of work (POW). Taking development cues from Tenebrix and Litecoin, Dogecoin currently employs a simplified variant of scrypt.
License – Much license
Dogecoin is released under the terms of the MIT license. See COPYING for more information or see http://opensource.org/licenses/MIT.
Development and contributions – omg developers
Development is ongoing, and the development team, as well as other volunteers, can freely work in their own trees and submit pull requests when features or bug fixes are ready.
Version strategy
Version numbers are following major.minor.patch
semantics.
Branches
There are 3 types of branches in this repository:
- master: Stable, contains the latest version of the latest major.minor release.
- maintenance: Stable, contains the latest version of previous releases, which are still under active maintenance. Format:
<version>-maint
- development: Unstable, contains new code for planned releases. Format:
<version>-dev
Master and maintenance branches are exclusively mutable by release. Planned releases will always have a development branch and pull requests should be submitted against those. Maintenance branches are there for bug fixes only, please submit new features against the development branch with the highest version.
Very Much Frequently Asked Questions
How much doge can exist? – So many puppies!
Early 2015 (approximately a year and a half after release) there will be approximately 100,000,000,000 coins. Each subsequent block will grant 10,000 coins to encourage miners to continue to secure the network and make up for lost wallets on hard drives/phones/lost encryption passwords/etc.
How to get doge? – To the moon!
Dogecoin uses a simplified variant of the scrypt key derivation function as its proof of work with a target time of one minute per block and difficulty readjustment after every block. The block rewards are fixed and halve every 100,000 blocks. Starting with the 600,000th block, a permanent reward of 10,000 Dogecoin per block will be paid.
Originally, a different payout scheme was envisioned with block rewards being determined by taking the maximum reward as per the block schedule and applying the result of a Mersenne Twister pseudo-random number generator to arrive at a number between 0 and the maximum reward. This was changed, starting with block 145,000, to prevent large pools from gaming the system and mining only high reward blocks. At the same time, the difficulty retargeting was also changed from four hours to once per block (every minute), implementing an algorithm courtesy of the DigiByte Coin development team, to lessen the impact of sudden increases and decreases of network hashing rate.
The current block reward schedule:
1–99,999: 0–1,000,000 Dogecoin
100,000–144,999: 0–500,000 Dogecoin
145,000–199,999: 250,000 Dogecoin
200,000–299,999: 125,000 Dogecoin
300,000–399,999: 62,500 Dogecoin
400,000–499,999: 31,250 Dogecoin
500,000–599,999: 15,625 Dogecoin
600,000+: 10,000 Dogecoin
The original block reward schedule, with one-minute block targets and four-hour difficulty readjustment:
1–99,999: 0–1,000,000 Dogecoin
100,000–199,999: 0–500,000 Dogecoin
200,000–299,999: 0–250,000 Dogecoin
300,000–399,999: 0–125,000 Dogecoin
400,000–499,999: 0–62,500 Dogecoin
500,000–599,999: 0–31,250 Dogecoin
600,000+: 10,000 Dogecoin
Wow plz make dogecoind/dogecoin-cli/dogecoin-qt
The following are developer notes on how to build Dogecoin on your native platform. They are not complete guides, but include notes on the necessary libraries, compile flags, etc.
Such ports
RPC 22555 P2P 22556
Translations
Changes to translations, as well as new translations, can be submitted to Bitcoin Core's Transifex page.
Periodically the translations are pulled from Transifex and merged into the git repository. See the translation process for details on how this works.
If the changes are Dogecoin specific, they can be submitted as pull requests against this repository. If it is a general translation, consider submitting it through upstream, as we will pull these changes later on.
Development tips and tricks
compiling for debugging
Run configure with the --enable-debug option, then make. Or run configure with CXXFLAGS="-g -ggdb -O0" or whatever debug flags you need.
debug.log
If the code is behaving strangely, take a look in the debug.log file in the data directory; error and debugging messages are written there.
The -debug=... command-line option controls debugging; running with just -debug will turn on all categories (and give you a very large debug.log file).
The Qt code routes qDebug() output to debug.log under category "qt": run with -debug=qt to see it.
testnet and regtest modes
Run with the -testnet option to run with "play dogecoins" on the test network, if you are testing multi-machine code that needs to operate across the internet.
If you are testing something that can run on one machine, run with the -regtest option. In regression test mode, blocks can be created on-demand; see qa/rpc-tests/ for tests that run in -regtest mode.
DEBUG_LOCKORDER
Dogecoin Core is a multithreaded application, and deadlocks or other multithreading bugs can be very difficult to track down. Compiling with -DDEBUG_LOCKORDER (configure CXXFLAGS="-DDEBUG_LOCKORDER -g") inserts run-time checks to keep track of which locks are held, and adds warnings to the debug.log file if inconsistencies are detected.


{% csrf_token %} {% if configuration_obj %}
{% else %}
Security Proxy Configuration Name
Name
{% endif %} {% if not view %}
Basic Administration
Update the Security Proxy configuration by editing its properties.
{% endif %}
Listening Port
Outgoing Port
Outgoing Address
Granted Role
{% if not view %}
File content
Update the security proxy configuration by editing the file content directly
Security Proxy configuration file content (click to edit)
{{ configuration_file }}
{{ configuration_file }}
File upload
Update the security proxy configuration by uploading a file from your filesystem.
{% endif %}


 - Claim your NHS Pension {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} {% include "includes/back.html" %} Claim your NHS Pension Do you want to claim a single payment on your pension benefits because of ill health? Yes No If you don’t have this information available, you can return to your application summary and save your application for later. {% endblock %}
Claim your NHS Pension
If you don’t have this information available, you can return to your application summary and save your application for later.


is a light and asynchronous calculation solution that is based on events. It allows you to create small, single-application functions in response to cloud events, without managing a server or runtime environment.


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