Specify the command-line parameters and options to be passed to the compiler at its start. Refer to the compiler
documentation for the available options.
If you need more room to type, click Additional command line parameters dialog where the text entry area is larger.
to open the
When specifying the parameters and options, follow these rules:
-client -ea -Xmx1024m
.
some" "arg
or "some arg"
.
-Dmy.prop=\"quoted_value\"
.


Metaphorphosis (ˌmedəˈfôrfəsəs) is an exploration into computational linguistics and generative literature.
Simply put, metaphorphosis generates two statements, which may or may not be well-formed and/or non-sensical. The user, then, may select one of the statements. The unselected statement is removed from the page and replaced by a newly generated phrase on the same topic. The user then chooses again, repeating the process for as long as they like.
The statements (originally metaphors) are constructed around a handful of concepts chosen (by human agents) for their complexity, ambiguity, polysemy, or hard-to-define-ness. Hypernyms, hyponyms, and other terms that are semantically or statistically related to the original concept are drawn from the Datamuse API and inserted into grammatical templates creating original statements that may or may not be entertaining or insightful.
If any given statement is chosen a certain number of times consecutively, it is added to the Hall of Fame, where it may be seen and upvoted by other users. From there, clicking on a particular statement takes you to a diagram showing the journey of dichotomies taken to get to that point. It reveals the evolution, the metamorphosis, of the statements.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.


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|
.intercept()
|
Regression Intercept \(\beta_{1}\) |
|
.slopes()
|
Regression Slopes \(\boldsymbol{\beta}_{2, \cdots, k}\) |
|
.slopesprime()
|
Regression Standardized Slopes \(\boldsymbol{\beta}_{2, \cdots, k}^{\prime}\) |
|
intercept()
|
Regression Intercept \(\beta_{1}\) |
|
sigma2epsilon()
|
Error Variance \(\sigma_{\varepsilon}^{2}\) |
|
slopes()
|
Regression Slopes \(\boldsymbol{\beta}_{2, \cdots, k}\) |
|
slopesprime()
|
Regression Standardized Slopes \(\boldsymbol{\beta}_{2, \cdots, k}^{\prime}\) |
|
betahat()
|
Estimates of Regression Coefficients \(\boldsymbol{\hat{\beta}}\) |
|
.betahatnorm()
|
Estimates of Regression Coefficients
\(
\boldsymbol{\hat{\beta}} = \left( \mathbf{X}^{T} \mathbf{X} \right)^{-1}
\left( \mathbf{X}^{T} \mathbf{y} \right)
\) |
|
.betahatqr()
|
Estimates of Regression Coefficients
\(\boldsymbol{\hat{\beta}}\) - QR Decomposition |
|
.betahatsvd()
|
Estimates of Regression Coefficients
\(\boldsymbol{\hat{\beta}}\) - Singular Value Decomposition |
|
.intercepthat()
|
Estimated Regression Intercept \(\hat{\beta}_{1}\) |
|
.slopeshat()
|
Estimates of Regression Slopes \(\boldsymbol{\hat{\beta}}_{2, \cdots, k}\) |
|
.slopeshatprime()
|
Estimates of Regression Standardized Slopes \(\boldsymbol{\hat{\beta}}_{2, \cdots, k}^{\prime}\) |
|
intercepthat()
|
Estimated Regression Intercept \(\hat{\beta}_{1}\) |
|
slopeshat()
|
Estimates of Regression Slopes \(\boldsymbol{\hat{\beta}}_{2, \cdots, k}\) |
|
slopeshatprime()
|
Estimates of Regression Standardized Slopes \(\boldsymbol{\hat{\beta}}_{2, \cdots, k}^{\prime}\) |
|
.sehatbetahat()
|
Standard Errors of Estimates of Regression Coefficients (from \(\hat{\sigma}_{\varepsilon \ \textrm{unbiased}}^{2}\)) |
|
.sehatbetahatbiased()
|
Standard Errors of Estimates of Regression Coefficients (from \(\hat{\sigma}_{\varepsilon \ \textrm{biased}}^{2}\)) |
|
.sehatslopeshatprimedelta()
|
Standard Errors of Standardized Estimates of Regression Coefficients (Yuan and Chan (2011)) |
|
.sehatslopeshatprimetb()
|
Standard Errors of Standardized Estimates of Regression Coefficients (Textbook) |
|
sehatbetahat()
|
Standard Errors of Estimates of Regression Coefficients (from \(\hat{\sigma}_{\varepsilon \ \textrm{unbiased}}^{2}\)) |
|
sehatbetahatbiased()
|
Standard Errors of Estimates of Regression Coefficients (from \(\hat{\sigma}_{\varepsilon \ \textrm{biased}}^{2}\)) |
|
sehatslopeshatprimedelta()
|
Standard Errors of Standardized Estimates of Regression Coefficients (Yuan and Chan (2011)) |
|
sehatslopeshatprimetb()
|
Standard Errors of Standardized Estimates of Regression Coefficients (Textbook) |


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Software Engineer - Veteran - Aircraft Pneudraulics Repairer
Brent Nicholas is a Computer Science Graduate, Software Engineer, Aircraft mechanic, and US Army veteran offering a wide array of technical skills. In 2012, Brent enlisted in the Texas Army National Guard as an Aircraft Pneudraulics Repairer. That next year, 2013, Brent graduated from Fort Rucker, Alabama at the top of his class and received the Distinguished Service Graduate Award, an award that only two can receive out of a few hundred soldiers. In May 2014, Brent went on to graduate from Lone Star College - University Park and received his Associate's of Science. From early 2017 to early 2018, Brent left the States to serve his country in Kuwait. After coming back to the States, Brent went on to finish completing his Bachelor's of Science in Computer Science in December 2019.
Detailed oriented and highly motivated professional with several years of experience in Software Development, Computer Hardware Troubleshooting, implementing Data Structures and Algorithms, Networking, Packet Sniffing, Web Services, Game Engines, Continuos Integration, Command Line Interface, Digital Imaging, Linux and much more. Driven passion for getting things done and done right in a timely manner. Eager to learn new things with personal interests that are far and wide. Whether it's building databases, working with the front-end or back-end, implementing AI into drones, network testing, building applications, or working with embedded os devices I become highly interested and motivated in the work or project.


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--- category: '' date: 2022-12-12 13:48:18 UTC-06:00 description: '' link: '' slug: index tags: '' hidetitle: true title: 'Distributed AI' type: text ---
"Rise of the robots..."
"Built for hybrid infrastructures..."
"Drones make the swarm go brr..."
"TL;DR..."
"Offline Speech Recognition, Speech to Text..."
"The most powerful language you can still read..."


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Basic formatting. Some thing to note:
-
define
constant creates a module binding that can't be changed.
-
The "$" is part of the constant name and is only a convention;
it has no meaning to the compiler.
-
format-out prints to standard output. See
the
format module for a list of format directives.


DateFormat
class. In most cases these predefined formats
are adequate. However, if you want to create your own customized
formats, you can use the
SimpleDateFormat
class.
The code examples that follow demonstrate the methods of the
SimpleDateFormat
class. You can find the full
source code for the examples in the file named
SimpleDateFormatDemo
.
SimpleDateFormat
object, you specify a
pattern String
. The contents of the pattern
String
determine the format of the date and time. For a
full description of the pattern's syntax, see the tables in
Date Format Pattern Syntax.
The following code formats a date and time according to the pattern
String
passed to the SimpleDateFormat
constructor. The String
returned by the
format
method contains the formatted date and time that
are to be displayed.
Date today; String output; SimpleDateFormat formatter; formatter = new SimpleDateFormat(pattern, currentLocale); today = new Date(); output = formatter.format(today); System.out.println(pattern + " " + output);
The following table shows the output generated by the previous code
example when the U.S. Locale
is specified:
| Pattern | Output |
|---|---|
| dd.MM.yy | 30.06.09 |
| yyyy.MM.dd G 'at' hh:mm:ss z | 2009.06.30 AD at 08:29:36 PDT |
| EEE, MMM d, ''yy | Tue, Jun 30, '09 |
| h:mm a | 8:29 PM |
| H:mm | 8:29 |
| H:mm:ss:SSS | 8:28:36:249 |
| K:mm a,z | 8:29 AM,PDT |
| yyyy.MMMMM.dd GGG hh:mm aaa | 2009.June.30 AD 08:29 AM |
SimpleDateFormat
class is locale-sensitive. If you
instantiate SimpleDateFormat
without a Locale
parameter, it will format the date and time according to the default
Locale
. Both the pattern and the Locale
determine the format. For the same pattern,
SimpleDateFormat
may format a date and time differently if
the Locale
varies.
In the example code that follows, the pattern is hardcoded in the
statement that creates the SimpleDateFormat
object:
Date today; String result; SimpleDateFormat formatter; formatter = new SimpleDateFormat("EEE d MMM yy", currentLocale); today = new Date(); result = formatter.format(today); System.out.println("Locale: " + currentLocale.toString()); System.out.println("Result: " + result);
When the currentLocale
is set to different values, the
preceding code example generates this output:
Locale: fr_FR Result: mar. 30 juin 09 Locale: de_DE Result: Di 30 Jun 09 Locale: en_US Result: Tue 30 Jun 09
| Symbol | Meaning | Presentation | Example |
|---|---|---|---|
| G | era designator | Text | AD |
| y | year | Number | 2009 |
| M | month in year | Text & Number | July & 07 |
| d | day in month | Number | 10 |
| h | hour in am/pm (1-12) | Number | 12 |
| H | hour in day (0-23) | Number | 0 |
| m | minute in hour | Number | 30 |
| s | second in minute | Number | 55 |
| S | millisecond | Number | 978 |
| E | day in week | Text | Tuesday |
| D | day in year | Number | 189 |
| F | day of week in month | Number | 2 (2nd Wed in July) |
| w | week in year | Number | 27 |
| W | week in month | Number | 2 |
| a | am/pm marker | Text | PM |
| k | hour in day (1-24) | Number | 24 |
| K | hour in am/pm (0-11) | Number | 0 |
| z | time zone | Text | Pacific Standard Time |
| ' | escape for text | Delimiter | (none) |
| ' | single quote | Literal | ' |
The number of symbol letters you specify also determines the format. For example, if the "zz" pattern results in "PDT," then the "zzzz" pattern generates "Pacific Daylight Time." The following table summarizes these rules:
| Presentation | Number of Symbols | Result |
|---|---|---|
| Text | 1 - 3 | abbreviated form, if one exists |
| Text | >= 4 | full form |
| Number | minimum number of digits is required | shorter numbers are padded with zeros (for a year, if the count of 'y' is 2, then the year is truncated to 2 digits) |
| Text & Number | 1 - 2 | number form |
| Text & Number | 3 | text form |


--- layout: post authors: ["Greg Wilson"] title: "What About MOOCs?" date: 2014-12-02 time: "09:00:00" tags: ["Teaching"] ---
We frequently get asked whether Software Carpentry would work as a MOOC. The answer is that I think it can work well if it's what Siemens and Downes actually had in mind when they coined the term. They didn't people watching videos and then doing robo-graded exercises; instead, their connectivist model of learning assumed that participants would use the internet to collaborate in exploring ideas, rather than as a faster form of television.
I'm definitely excited about the Siemens and Downes kind of MOOC. In particular, I believe that instructors who don't have time to teach a full workshop might give us an hour a week to help people via one-to-one or one-to-few sessions via Skype and screen sharing. There was a lot of enthusiasm among the instructors for this when we tried it in the spring of 2012; that experiment wound down because we lacked critical mass, but we're five times larger now, and I think it would be worth trying again.
The most interesting question for me is where this fits. Should we start people off this way? Should people do the first day in person (so that we can get them through software setup and configuration issues), then do the rest online? Should this be used as the "day 3" follow-on that everyone keeps asking for? We'd like to try all of this and more; if you'd like to help, please let us know.


CrimPapers
Articles published on 18 May 2017
On 18 May 2017, 4 new articles were published in 3 journals.
Crime Analysis and Cognitive Effects: the Practice of Policing Through Flows of Data by Carrie Sanders, Camie Condon
Cut From the Same Cloth? A Comparative Study of Domestic Extremists and Gang Members in the United States by David C. Pyrooz, Gary Lafree, Scott H. Decker, Patrick A. James
After the Stop
Consent Decrees


IOU Big Mamma
40
Towards those "There is no place like home" shoes
IOU Big Daddy
5
For staying on the dry
IOU John Smith (Me)
12


The planets_df
data frame should have 8 observations and 5 variables. It has been made available in the workspace, so you can directly use it.
Use str()
to investigate the structure of the new planets_df
variable.
load(url("http://s3.amazonaws.com/assets.datacamp.com/course/intro_to_r/planets.RData"))
# Check the structure of planets_df
# Check the structure of planets_df
str(planets_df)
msg = "Do not remove or overwrite the `planets_df` data frame that is already available in the workspace!"
test_object("planets_df", undefined_msg = msg, incorrect_msg = msg)
test_output_contains("str(planets_df)", incorrect_msg = "Have you correctly displayed the structure of `planets_df`? Use `str()` to do this!")
success_msg("Awesome! Now that you have a clear understanding of the `planets_df` data set, it's time to see how you can select elements from it. Learn all about in the next exercises!")
planets_df
is already available in your workspace, so str(planets_df)
will do the trick.


Class: ActionController::Streaming::Body
Do not use. This class is for internal use only.
| Relationships & Source Files | |
| Inherits: | Object |
| Defined in: | actionpack/lib/action_controller/metal/streaming.rb |
Constant Summary
Class Method Summary
-
.new(body) ⇒ Body
constructor
Store the response body to be chunked.
Instance Method Summary
-
#close
Close the response body if the response body supports it.
-
#each {|TAIL| ... }
For each element yielded by the response body, yield the element in chunked encoding.
Constructor Details
.new(body) ⇒ Body
Store the response body to be chunked.
# File 'actionpack/lib/action_controller/metal/streaming.rb', line 212
def initialize(body) @body = body end
Instance Method Details
#close
Close the response body if the response body supports it.
# File 'actionpack/lib/action_controller/metal/streaming.rb', line 231
def close @body.close if @body.respond_to?(:close) end
#each {|TAIL| ... }
For each element yielded by the response body, yield the element in chunked encoding.


Grass
rated R 80 minutes Unapix Films a documentary narrated by Woody Harrelson written by Solomon Vesta directed by Ron Mann
A Review by Frankie Paiva
This one-sided documentary is about marijuana's introduction and use in the United States in the 1990s. Brought over the border by Mexicans in the early part of the century, it was a joy for many. You could smoke it and escape your life, troubles, and problems. The stuff soon became so common you could find it on the side of the road. The government used marijuana as an excuse not to like Mexico. The Bureau of Narcotics formed shortly after some marijuana users turned violent. The head of the bureau launched several campaigns hoping to make marijuana as frowned upon as possible. More laws, restrictions, and programs popped up as time went on. Parents and worried officials wanted this stuff controlled. Several people thought it unfair that the government was creating laws that put innocent civilians who were just trying to relax in jail. Why should something enjoyable for most be illegal in the eyes of the law? The previous inquiry morphs into different forms as time and the film go on.
If I lived in the world that Grass presents, I would be an advocate to legalize marijuana too. This is certainly a bias documentary. The movie covers about eighty years of the drug, but skips over the 1980s and 1990s in approximately five minutes. It seems Grass covers only the periods where people lived in ignorance about the downsides from using the drug. There was always plenty of speculation from non-users about what would happen if a person took marijuana in the early days. A few of their fears were dispelled (or confirmed) after the first solid scientific research study on marijuana in the 1970s. Some of the best moments of the film are the official truths of the time. The truth, as issued by the government and accepted by non-users, flashes before each decade. Through the years, the government stopped saying marijuana would lead you to kill people, and started linking it as a stepping-stone to heroin abuse.
If anything, Grass is certainly a lot of fun. Clips from movies like Reefer Madness really heighten the experience. Cheech & Chong show up, as does Cab Calloway and Sonny Bono. Even Elvis Presley’s public service announcement discouraging drug use is included. There are some fantastic graphics and computer animated sequences that really help the movie. Whenever a law passes that is against marijuana, a disaster diagram (erupting volcanoes, spinning tornadoes, etc.) comes onscreen along with the name of the bill and the word, "PASSED." These types of pictures are always colorful and humorous. They capture the screw the government attitude adapted by most of the film.
Grass is essentially a piece of harmless propaganda. Hidden messages about legalizing marijuana lie under its surface. Most adults will not be susceptible to these, but it may influence some teens. It figures that Woody Harrelson narrates this film when one considers his work in attempting to legalize the Indian weed. Hypocrisy is present on both sides of the argument. One government official goes on about how bad drug addiction is while he continuously smokes a cigarette. Director Ron Mann never chooses to look at the devastating effects of the narcotic. Even so, the material presented is very interesting, and was certainly something I would not have pursued otherwise, and like some of the best documentaries, there are plenty of opportunities to laugh.
Unless you can personally relate to Grass's subject, it is likely to have little impact. This picture certainly does not break any new ground, and rarely rises above the amusing level. If it were more thought provoking than rebellious, it would be much better. This easily forgettable movie entertains while its playing, but never reaches a high. It leaves little to take with you or remember.
B-
Frankie Paiva<EMAIL_ADDRESS>http://www.homestead.com/cinemaparadise/mainpage.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


"""
Kohn-Sham DFT solver
####################
**Summary**
Kohn-Sham DFT solver for 1-dimensional systems on a grid.
.. moduleauthor::
`Ryan Pederson<EMAIL_ADDRESS>ORCID: `0000-0002-7228-9478 <https://orcid.org/0000-0002-7228-9478>`_
.. todo::
* Comments in KS solver funciton should be in doc format
* *solve_self_consistent_density* needs summary sentence
* Linting?
"""
import non_interacting_solver, functionals
import numpy as np
import functools
import matplotlib.pyplot as plt
from utils import quadratic
from scf_base import SCF_SolverBase
[docs]class KS_Solver(SCF_SolverBase):
"""KS-DFT solver for non-periodic systems."""
def __init__(self, grids, v_ext, xc, num_electrons=1,
boundary_condition='open'):
"""Initialize the solver with an exchange-correlation (XC) functional.
Args:
xc: exchange correlation `functional` class object.
"""
super(KS_Solver, self).__init__(grids, v_ext, num_electrons,
boundary_condition)
self.xc = xc
self.init_v_s()
[docs] def init_v_s(self, v_s_up=None, v_s_down=None):
"""Initialize starting v_s_up and v_s_down. The default
corresponds to v_hxc_up = v_hxc_down = 0.
Args:
v_s_up: initial v_s_up on a grid.
v_s_down: initial v_s_down on a grid.
"""
if v_s_up is None and v_s_up is None:
# default initalization, v_s = v_ext.
self.v_s_up = self.v_ext
self.v_s_down = self.v_ext
else:
self.v_s_up = v_s_up
self.v_s_down = v_s_down
return self
def _update_v_s_up(self):
"""Total up spin potential to be solved self consistently in the
KS system.
"""
self.v_s_up = functools.partial(self.xc.v_s_up,
n=self.density, n_up=self.n_up,
n_down=self.n_down, v_ext=self.v_ext,
v_xc_up=self.xc.v_xc_up)
return self
def _update_v_s_down(self):
"""Total down spin potential to be solved self consistently in the
KS system.
"""
self.v_s_down = functools.partial(self.xc.v_s_down,
n=self.density, n_up=self.n_up,
n_down=self.n_down,
v_ext=self.v_ext,
v_xc_down=self.xc.v_xc_down)
return self
def _solve_ground_state(self):
"""Solve ground state by diagonalizing the Hamiltonian matrix directly
and separately for up and down spins.
"""
solver_up = non_interacting_solver.EigenSolver(self.grids,
potential_fn=self.v_s_up,
num_electrons=self.num_up_electrons,
boundary_condition=self.boundary_condition)
solver_up.solve_ground_state()
if self.num_down_electrons == 0:
return self._update_ground_state(solver_up)
else:
solver_down = non_interacting_solver.EigenSolver(self.grids,
potential_fn=self.v_s_down,
num_electrons=self.num_down_electrons,
boundary_condition=self.boundary_condition)
solver_down.solve_ground_state()
return self._update_ground_state(solver_up, solver_down)
[docs] def solve_self_consistent_density(self, mixing_param=0.3, verbose=0):
"""Solve KS equations self-consistently.
Args:
mixing_param: linear mixing parameter, where 0.0 denotes no mixing.
verbose: convergence debug printing.
Returns:
`KS_Solver`: converged `KS_Solver` with results.
"""
# TODO: use prev_densities for DIIS mixing
prev_densities = []
final_energy = 1E100
converged = False
while not converged:
# solve KS system -> obtain new density
self._solve_ground_state()
# update total potentials using new density
self._update_v_s_up()
self._update_v_s_down()
if (np.abs(self.eps - final_energy) < self.energy_tol_threshold):
converged = True
self._converged = True
final_energy = self.eps
if prev_densities and mixing_param:
self.density = (1 - mixing_param) * self.density + \
mixing_param * prev_densities[-1]
prev_densities.append(self.density)
if verbose == 1 or verbose == 2:
print("i = " + str(len(prev_densities)) + ": eps = " + str(
final_energy))
if verbose == 2:
plt.plot(self.grids, prev_densities[-1])
plt.show()
# Non-Interacting Kinetic Energy
self.T_s = self.kinetic_energy
# External Potential Energy
self.V = (self.v_ext(self.grids) * self.density).sum() * self.dx
# Hartree Energy
v_h = self.xc.v_h()
self.U = .5 * (v_h(grids=self.grids,
n=self.density) * self.density).sum() * self.dx
# Exchange Energy
self.E_x = self.xc.get_E_x(self.density, self.zeta)
# Correlation Energy
self.E_c = self.xc.get_E_c(self.density, self.zeta)
# Total Energy
self.E_tot = self.T_s + self.V + self.U + self.E_x + self.E_c
return self


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Events
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Import Entries
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I am experienced Personal Trainer turned Software Developer seeking to sharpen my skills and broaden my experiences through learning more programming languages, methodologies, and frameworks. I have experience creating apps from start to finish using updated development tools, such as sockets.io, .NET, mongoDB. I have also developed my skills in data structures and algorithms. I have an unmatchable combination of self-drive, interpersonal skills, and self-motivation that allows for me to work hard and thrive in any situation.
I have created this site as a demo online fitness program. It includes everything you will need to know about starting Chisled in 60 days.
Tip: Program is designed for 4 weeks at a time, however, you can complete the program as many times as you would like. I recommend completing it at least 2 times. The second time you can reverse the weeks (i.e. start week 4 3x8, week 3, week 2, week 1).
| Day # | Focus | Exercise(name and sets x reps) |
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| 1 | Agility | 100 Jumping Jacks, 30 sec incline sprints,10 burpees |


UnderExpress uses modular css classes, which helps you ship quickly with cleaner code.
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This is a short summary of blog post and can be used to give a gist to google and others This is a short summary of blog post and can be used to give a gist to google and others...
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London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
non-stop
Flight Details
Total trip time: 17h 58m
American Airlines
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
non-stop
Flight Details
Total trip time: 17h 58m
American Airlines
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
1 stop
Flight Details
Total trip time: 17h 58m
Airfrance
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
1 stop
Flight Details
Total trip time: 17h 58m
Delta
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
1 stop
Flight Details
Total trip time: 17h 58m
Airfrance
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
2 stops
Flight Details
Total trip time: 17h 58m
Lufthansa
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
2 stops
Flight Details
Total trip time: 17h 58m
Lufthansa
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
non-stop
Flight Details
Total trip time: 17h 58m
Lufthansa
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
2 stops
Flight Details
Total trip time: 17h 58m
Air Canada
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
2 stops
Flight Details
Total trip time: 17h 58m
Croatia Airlines
Sun, Mar 22
London, England, United Kingdom (LHR)
Sat, Mar 23
New York, NY, United States (JFK)
2 stops
Flight Details
Total trip time: 17h 58m
Not what you're looking for? Try your search again


While the combination of decentralization and cryptography are the defining characteristics of cryptocurrency, there are other interesting aspects of cryptocurrency that make it disruptive and exciting. However, there's no such thing as a free lunch, so it's important that we understand what the consequences are as well. Here are some really cool features of cryptocurrency in general:
Anonymous (mostly)
Transactions and accounts are not connected to your personal information but instead to specific address or key. This makes cryptocurrency accounts and transactions largely anonymous. However, with most cryptocurrencies like Bitcoin, it is still possible to trace the flow of transactions for an account reducing your anonymity by some degree. This has lead to the invention of cryptocurrencies like ZCash, Dash, Monero, etc. that secure their transaction history.
Irreversible
Once a Miner has confirmed a transaction - it is permanent - for all time. It can never be undone. This is different from the type of transactions most people are familiar in daily life. Most of the time, we live in a world of easy returns, account cancellations, charge-backs, and customer service professionals where mistakes are easily un-done. When working with cryptocurrencies you are swimming in the deep end and once a transaction is confirmed its irreversible.
Open
Cryptocurrencies are available to everyone. Regardless of your nationality, socioeconomic status, etc. you can download some software and begin mining, trading, and buying cryptocurrencies. Additionally, once you have a cryptocurrency - you own it. No central authority can take it away from you. The supply of cryptocurrencies is universal, stable, and secure; though this doesn't say anything about the stability of their value.
Rapid Propagation
Because cryptocurrencies leverage peer-to-peer networks, all transaction information is rapidly propagated through out the entire network. As this is one of the things cryptocurrencies need in order to function, this shouldn't come as a big surprise. However, unless you are comfortable with peer-to-peer networks its a bit alien and as a result bares repeating. Additionally, this means that as cryptocurrencies mature handling really complicated and lengthy financial transactions, quickly and securely, is a very real possibility.
Secure
Cryptocurrencies use strong cryptographic algorithms to preform transactions. This means that only the owner of a private key can make transactions. This means that cryptocurrencies are more secure than almost any other financial mechanism available.
Self Representative
Unlike the US dollar today, which represents debt, or the US dollar in the past, which represented gold; cryptocurrencies only represent themselves. As Popeye might say, they are what they are.
Supply
Like gold or oil, most cryptocurrencies have a limited supply. They also produce new coins on a specific schedule. This has several interesting side-effects. First off, it means we can roughly calculate when the supply of new coins for a cryptocurrency will end. More importantly, it means that the supply can not be artificially increased by anyone or anything and therefore no one can control inflation or deflation by manipulating this supply. This is highly disruptive to how governments and large banks influence markets and is one of the most radical potential impacts of cryptocurrency.
As you can see, there's more to cryptocurrency that just "coins". Our journey doesn't end here. Next up, we cover the BIGGEST reasons you might want to think about investing in cryptocurrency - OR - why you might want avoid it entirely!


--- title: "Playlist Editors‘ Pick | Economist TV+" titlemain: "The Economist" bio: "News and analysis with a global perspective." description: "The Economist is an international weekly newspaper printed in magazine-format and published digitally that focuses on current affairs, international business, politics, and technology." keywords: "Business, Entrepreneurship, Leadership, Startup, Innovation" photo: "/assets/images/users/the_economist/1200/1_Yu1odYyavmOzwLSBKk0Srg.png" avatar: "/assets/images/users/the_economist/131/1_Yu1odYyavmOzwLSBKk0Srg.png" favicon: "https://www.economist.com/engassets/ico/favicon.f1ea908894.ico" layout: userPlaylist permalink: "/@the_economist/watch/playlist/editors-pick" linkmain: "/@the_economist/watch" color: "#e50914" colorhover: "#e50914" ---


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--- layout: post title: An Intro to Git and GitHub for Beginners (Tutorial) date: '2019-09-25T20:02:00.001+05:30' author: Sahil Rajput tags: modified_time: '2019-09-25T20:02:45.962+05:30' blogger_id: tag:blogger.com,1999:blog-5250005448924290719.post-5091698822579229234 blogger_orig_url: https://www.jaadujinn.ml/2019/09/an-intro-to-git-and-github-for.html ---


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Dietary
This lentil and pumpkin stew is all about how to make a straightforward recipe a lot more exciting - with very little effort. Perfect for when it’s cooling down outside and you want something really warming.
Each serving provides 273kcal, 8g protein, 28g carbohydrate (of which 14g sugars), 12g fat (of which 7g saturates), 9g fibre and 2g salt.
In a large pan melt the butter and then add chopped onions, carrot and celery. Tear in the rosemary and a couple of bay leaves and after a few minutes add the chopped garlic. When all have nicely softened, tip in the lentils and pour over 1litre/1¾ pints of vegetable stock. Bring to the boil and then leave to simmer whilst you tend to the pumpkin.
Using a variety of pumpkins and squashes gives the stew a more complex flavour. Here I use acorn squash and Cinderella, but you want to end up with about 600g/1lb 5oz of peeled pumpkin in large chunks. Add them to the stew, season and then pour over enough water to just cover all the ingredients. Put a lid on the pan and leave to simmer for 30-40 minutes.
When the stew is almost ready, add the chopped parsley.
To make the stew creamier, remove a small bowlful to a food processor and blitz it with 200ml/2fl oz of stock. Pour it back in and the stew becomes instantly more velvety.
Serve the stew in bowls, finishing each helping off with a cooling spoonful of sour cream.


Dashboard
- Added a "Banter between all characters from a franchise" graph to the Franchise Comparison dashboard. This gives an overview for which characters from a franchise are most talkative amongst each other. For example, you can see which Fire Emblem character talks the most to other Fire Emblem characters and which characters completely ignore their franchise mates.
- Use the left and right arrows to switch between graphs.
Metadata
- A separate gender can now be specified for the title/character selection screen. This is useful for characters like Chihiro so he can be listed as male during character selection (to avoid surprising the player with a trap), while still being initially considered female in game for the sake of the other characters.
- Alternate costumes can also have their own gender specified.
Case Templates
- Ever wanted an Opponent Removing Accessory case type? Now you can!
- Case templates are very similar to macros except they appear as their own category in Case View and in the Add dropdown. See the Case Templates tutorial in the help files or Youtube channel for more details.
Dialogue
- The Self > Hidden case condition has been moved to a more prominent, permanent "Background" checkbox next to the custom priority field. The purpose for this change is twofold: to eliminate conflicting terminology with cases that are simply hidden from view in the editor (which has no impact on gameplay), and to make it easier to find this functionality.
- Add Reset checkboxes to a line's advanced dialogue settings for resetting the character's label and intelligence back to their initial values when played.
- Added a + when the "to" field on a filter's counter is empty to make it more clear that leaving it empty means "from X and up".
Epilogues
- The epilogue editor has received a complete overhaul to make it more similar sequencers found in other software (including the Pose Maker in this software).
- A tutorial has been added to the spnati_edit YouTube channel.
- If an emitter's Y scale is left blank, it will now use the same value as the X scale, preserving aspect ratio.
- Removed the "Persistent" column from the "Markers to Set" table. Markers set by an epilogue are always persistent.
- More than one character can now be specified in the "Also Playing" condition.
Common Upgrade Issues With Epilogues
Upon opening a scene in an existing ending, it will convert to the new format, which saves slightly differently from the old format. You should play through your entire epilogue to identify any inadvertent changes.
Some common issues you may encounter include, but are not necessarily limited to,
- Duplicate keyframes: You might have had two keyframes in a Move directive with time "0.5s" thinking one would play at 0.5s and the next 0.5s later, but they would actually play at the same time (as evident by jerky motion when viewed in the game). Only one of these frames will be retained.
- Move directives conflicting with loops: For example, a looping Move directive that moves to Y: 50 at time 1.0s, followed by a non-looping Move directive moving to Y: 25 at time 0.5s. In game, these would play
simultaneously and conflict with each other up to 0.5s, at which point the loop would take over, but the editor does not allow this and will end the loop prior to the non-looping movement.
- Changing a value without stopping a loop: For eample, a looping Move directive that moves to Y: 50 at time 1.0s, followed by a non-looping Move directive with a 2.0s delay that changes Y to 25. In game, this would keep looping the Y: 50 animation, making the jump to 25 unnoticeable, but the editor
assumes the loop is supposed to stop at the start of the Move directive.
- There is a bug in the game engine where an initial fade opacity with no color specified will display a transparent color at 100% opacity instead of defaulting to black.
Some epilogues have worked around this by doing an immediate fade directive to set the color. The editor will see that the fade is going from 100% default (i.e. black) to 100% black, so it will discard it as redundant.
- Aside from text boxes, positions can no longer be specified in percentages. These will be lost upon opening the scene.
- All "wait for animations" directives are now replaced with delays of an equivalent amount. If a user clicks before animations have finished, the epilogue will skip to the end of the "wait for animations" directive. Since all "wait for animations" directives
are now grouped into a single block using delays, clicking early will skip past them all at once instead of one at a time.
- The game engine does not support scaling sprites to 0, but in certain circumstances it would look like it still worked. With the new save format, it's more likely to encounter the problem, which would result in sprites scaling to 1 instead of 0.
- There is much less flexibility in conditional directives now. Previously you could make individual animations conditional, but now an entire sprite is either conditional or not.
Pose Maker
- It's now possible to split a keyframe by dragging it while holding Ctrl.
- Changed how the blocks of keyframes are displayed when splits are in use.
- These features also apply to the Epilogue Editor.
- Added buttons for changing a keyframe type instead of cycling through them.
- Adjusted the colors across various themes.
- Poses can now work across stages using stage-specific assets. See this brief tutorial Cross Stage Poses for how this works.
Scratch Pad
- Added a scratch pad to the Line Importer tab for writing down stream of consciousness. These can later be turned into real cases and assigned conditions.
Pose Matrix
- Wetness and labia position can now be applied to individual poses across stages.
- For sheets that were created as "stage-independent", a subfolder can now be specified to store the images in a subfolder of the character's root directory. This is useful for organizing assets for custom poses and epilogues.
Writing Aid
- Added a "Mark as Done" button to the Writing Aid. This will treat a situation has having already been responded to even if you didn't respond to it previously through the Writing Aid.
General
- Characters with statuses that are marked to hide under the "Characters to hide" setting will no longer appear as suggestions in the Checklist dashboard, the Banter Wizard, or the Writing Aid.
- Adjusted the default Blue theme.
- Desaturated the Mandevilla theme.
Character Skins
- When creating a new alternate outfit, the format character_skin will now be enforced. This makes sorting easier when browsing the opponent/reskins folder.
- When creating a new alternate outfit, the editor will now auto-select the character to link the outfit to based on the name of the skin.
Validator
- Uncountable nouns for clothing like "armor" and "jewelry" are now flagged because they don't pluralize well when writing generic dialogue.
Safe for Work Mode
- A rudimentary "Safe for Work" mode has been added to the general settings. Enabling this hides images, removes some potentially compromising tabs, and replaces references to nudity, masturbation, and so on with more innocuous synonyms.
- This is intended to help with writing in public settings and not as a setting to use by default.
Bug Fixes
- Fixed crash when closing a character while the Find/Replace popup is open, and then attempting to use the popup.
- Fixed various crashes that would occur on the Dashboard and Validator tabs when a Pose Maker pose contains a sprite with no source.
- Fixed issue where creating a response to an "Opponent Selected" case where you are the target would create an "Opponent Selected" case instead of "Selected."
- "Online" now appears as an option for epilogue status. This is the same as leaving it blank, but that wasn't obvious.
- Fixed issue where required markers on an epilogue would duplicate when switching between epilogues on the same character.
- Fixed issue where required markers on an epilogue would transfer to a new epilogue when creating a new one.
- Fixed issue where the "Daily Goal Met" notification would appear repeatedly at certain times of the day.
- Made Spell Check smarter about what it considers to be a word.
- Fixed massive lag when opening an epilogue.
- Speech bubble font size and padding in epilogues now scale to the camera like they have in game for a long time now. This should make it much easier to position bubbles, though they still won't be 1:1 with the game.
- Fixed the skinning of preview fields (X, Y, source, etc.) when clicking between frames in the Pose Maker and Epilogue Editor.
- Improved contrast of colors in the Pose Maker for the dark themes.
- Fixed invisible tick marks in the Pose Maker in the Mandevilla theme.
- Dragging a snap will now snap it to the grid as opposed to snapping in grid increments from the initial point.
- Performance optimizations to the pose maker when there are lots of objects in the timeline.
- The timeline can now be scrolled using the mousewheel while hovering over a sprite header.
- Fixed emitter particles not previewing skew values.
- Fixed isuse where renaming a sprite that has children linked to it would break that link.
- Fixed issue with the stage dropdowns not providing numbers when a filter's role is self or a blank target/opponent.
- Fixed crash when a stage is filled into a condition that is no longer valid when changing the target. (example: a condition that a character is at stage 10 and then switching to a character with only 5 layers)
- Fixed issue with Macro lookup appearing blank when adding a case to a macro.


|
UTF-8 Simple Library for Internationalization
|
Wrappers for Windows registry functions. More...
Functions | |
| LSTATUS | utf8::RegCreateKey (HKEY key, const std::string &subkey, HKEY &result, DWORD options, REGSAM sam, const SECURITY_ATTRIBUTES *psa, DWORD *disp) |
| Convenience wrapper for RegCreateKeyEx More... | |
| LSTATUS | utf8::RegOpenKey (HKEY key, const std::string &subkey, HKEY &result, REGSAM sam, bool link) |
| Wrapper for RegOpenKeyEx More... | |
| LSTATUS | utf8::RegDeleteKey (HKEY key, const std::string &subkey, REGSAM sam) |
| Wrapper for RegDeleteKeyEx or RegDeleteKey More... | |
| LSTATUS | utf8::RegDeleteValue (HKEY key, const std::string &value) |
| Wrapper for RegDeleteValue More... | |
| LSTATUS | utf8::RegDeleteTree (HKEY key, const std::string &subkey) |
| Wrapper for RegDeleteTree More... | |
| LSTATUS | utf8::RegRenameKey (HKEY key, const std::string &subkey, const std::string &new_name) |
| Wrapper for RegRenameKey More... | |
| LSTATUS | utf8::RegSetValue (HKEY key, const std::string &value, DWORD type, const void *data, DWORD size) |
| Wrapper for RegSetValueEx More... | |
| LSTATUS | utf8::RegSetValue (HKEY key, const std::string &value, const std::string &data) |
| Convenience Wrapper for RegSetValueEx for string data. More... | |
| LSTATUS | utf8::RegSetValue (HKEY key, const std::string &value, const std::vector< std::string > &data) |
| Convenience Wrapper for RegSetValueEx for vector of string data. More... | |
| LSTATUS | utf8::RegQueryValue (HKEY key, const std::string &value, DWORD *type, void *data, DWORD *size) |
| Wrapper for RegQueryValueEx More... | |
| LSTATUS | utf8::RegGetValue (HKEY key, const std::string &subkey, const std::string &value, DWORD flags, void *data, DWORD *size, DWORD *type) |
| Wrapper for RegGetValue More... | |
| LSTATUS | utf8::RegGetValue (HKEY key, const std::string &subkey, const std::string &value, std::string &data, bool expand) |
| Retrieves a string from a registry key value using the RegGetValue function. More... | |
| LSTATUS | utf8::RegGetValue (HKEY key, const std::string &subkey, const std::string &value, std::vector< std::string > &data) |
| Retrieves a vector of strings from a registry key value using the RegGetValue function. More... | |
| LSTATUS | utf8::RegEnumKey (HKEY key, DWORD index, std::string &name, DWORD maxlen, FILETIME *last_write_time) |
| Wrapper for RegEnumKeyEx More... | |
| LSTATUS | utf8::RegEnumKey (HKEY key, std::vector< std::string > &names) |
| Enumerate all subkeys of a key. More... | |
| LSTATUS | utf8::RegEnumValue (HKEY key, DWORD index, std::string &value, DWORD maxlen, DWORD *type, void *data, DWORD *data_len) |
| Wrapper for RegEnumValue More... | |
| LSTATUS | utf8::RegEnumValue (HKEY key, std::vector< std::string > &values) |
| Enumerate all values of a key. More... | |
Wrappers for Windows registry functions.
For all these functions wide character strings arguments are replaced with UTF-8 encoded C++ strings.
| LSTATUS utf8::RegCreateKey | ( | HKEY | key, |
| const std::string & | subkey, | ||
| HKEY & | result, | ||
| DWORD | options, | ||
| REGSAM | sam, | ||
| const SECURITY_ATTRIBUTES * | psa, | ||
| DWORD * | disp | ||
| ) |
Convenience wrapper for RegCreateKeyEx
| key | handle to an open registry key |
| subkey | name of a subkey that this function opens or creates |
| result | newly created key handle |
| options | option flags |
| sam | access rights for the new key |
| psa | pointer to SECURITY_ATTRIBUTES structure (can be NULL) |
| disp | pointer to a flag showing if key was created (REG_CREATED_NEW_KEY) or opened (REG_OPENED_EXISTING_KEY). Can be NULL. |
| LSTATUS utf8::RegDeleteKey | ( | HKEY | key, |
| const std::string & | subkey, | ||
| REGSAM | sam | ||
| ) |
Wrapper for RegDeleteKeyEx or RegDeleteKey
| key | handle to an open registry key |
| subkey | name of a subkey to delete |
| sam | access mask specifies the platform-specific view of the registry:
|
If sam
is 0, this function invokes RegDeleteKey function, deleting the 32-bit key if the invoking application is 32-bit, or the 64-bit key if the invoking application is 64-bit. Otherwise it invokes the RegDeleteKeyEx function.
| LSTATUS utf8::RegDeleteTree | ( | HKEY | key, |
| const std::string & | subkey | ||
| ) |
Wrapper for RegDeleteTree
| key | handle to an open registry key |
| subkey | name of a subkey to delete |
If subkey
is empty, the key and all subkeys and values are deleted.
| LSTATUS utf8::RegDeleteValue | ( | HKEY | key, |
| const std::string & | value | ||
| ) |
Wrapper for RegDeleteValue
| key | handle to an opened registry key |
| value | name of the value to delete. |
If value
is the empty string, the function removes the default key value.
| LSTATUS utf8::RegEnumKey | ( | HKEY | key, |
| DWORD | index, | ||
| std::string & | name, | ||
| DWORD | maxlen, | ||
| FILETIME * | last_write_time | ||
| ) |
Wrapper for RegEnumKeyEx
| key | handle of an opened registry key |
| index | enumeration index. Set to 0 for first subkey. |
| name | name of enumerated subkey |
| maxlen | maximum length (in characters) of subkey name |
| last_write_time | pointer to variable that receives the last time the subkey was written. |
If maxlen
parameter is 0, the function uses RegQueryInfoKey function to determine the maximum length.
| LSTATUS utf8::RegEnumKey | ( | HKEY | key, |
| std::vector< std::string > & | names | ||
| ) |
Enumerate all subkeys of a key.
| key | handle of an opened registry key |
| names | vector of strings containing names of all enumerated subkeys |
| LSTATUS utf8::RegEnumValue | ( | HKEY | key, |
| DWORD | index, | ||
| std::string & | value, | ||
| DWORD | maxlen, | ||
| DWORD * | type, | ||
| void * | data, | ||
| DWORD * | data_len | ||
| ) |
Wrapper for RegEnumValue
| key | handle of an opened registry key |
| index | enumeration index. Set to 0 for first subkey. |
| value | name of enumerated value |
| maxlen | maximum length (in characters) of value name |
| type | pointer to type of data stored in the value |
| data | pointer to data stored in that value |
| data_len | pointer to size of data buffer in bytes |
If maxlen
parameter is 0, the function uses RegQueryInfoKey function to determine the maximum length of value name.
data_len
parameter can be NULL only if data
parameter is also NULL.
| LSTATUS utf8::RegEnumValue | ( | HKEY | key, |
| std::vector< std::string > & | values | ||
| ) |
Enumerate all values of a key.
| key | handle of an opened registry key |
| values | vector of strings containing the names of all enumerated values |
| LSTATUS utf8::RegGetValue | ( | HKEY | key, |
| const std::string & | subkey, | ||
| const std::string & | value, | ||
| DWORD | flags, | ||
| void * | data, | ||
| DWORD * | size, | ||
| DWORD * | type | ||
| ) |
Wrapper for RegGetValue
| key | handle to an open registry key |
| subkey | path of the subkey from which the function retrieves the value |
| value | name of the value to be retrieved. If empty, the function retrieves the type and data for the key's unnamed or default value |
| flags | the flags that restrict the data type of value to be queried. |
| data | pointer to data |
| size | pointer to size data size (in bytes) |
| type | pointer to type of data |
| LSTATUS utf8::RegGetValue | ( | HKEY | key, |
| const std::string & | subkey, | ||
| const std::string & | value, | ||
| std::string & | data, | ||
| bool | expand | ||
| ) |
Retrieves a string from a registry key value using the RegGetValue function.
| key | handle to an open registry key |
| subkey | path of the subkey from which the function retrieves the value |
| value | name of the value to be retrieved. If empty, the function retrieves the type and data for the key's unnamed or default value |
| data | retrieved registry data |
| expand | if false, the function does not expand the REG_EXPAND_SZ strings |
| LSTATUS utf8::RegGetValue | ( | HKEY | key, |
| const std::string & | subkey, | ||
| const std::string & | value, | ||
| std::vector< std::string > & | data | ||
| ) |
Retrieves a vector of strings from a registry key value using the RegGetValue function.
| key | handle to an open registry key |
| subkey | path of the subkey from which the function retrieves the value |
| value | name of the value to be retrieved. If empty, the function retrieves the type and data for the key's unnamed or default value |
| data | retrieved vector of strings |
| LSTATUS utf8::RegOpenKey | ( | HKEY | key, |
| const std::string & | subkey, | ||
| HKEY & | result, | ||
| REGSAM | sam, | ||
| bool | link | ||
| ) |
Wrapper for RegOpenKeyEx
| key | handle to an open registry key |
| subkey | name of a subkey that this function opens |
| result | opened key handle |
| sam | access rights for opened key |
| link | set to true if key is a symbolic link |
| LSTATUS utf8::RegQueryValue | ( | HKEY | key, |
| const std::string & | value, | ||
| DWORD * | type, | ||
| void * | data, | ||
| DWORD * | size | ||
| ) |
Wrapper for RegQueryValueEx
| key | handle to an open registry key |
| value | name of the value to be retrieved. If empty, the function retrieves the type and data for the key's unnamed or default value |
| type | pointer to type of data |
| data | pointer to data |
| size | pointer to size data size (in bytes) |
| LSTATUS utf8::RegRenameKey | ( | HKEY | key, |
| const std::string & | subkey, | ||
| const std::string & | new_name | ||
| ) |
Wrapper for RegRenameKey
| key | handle to an open registry key |
| subkey | name of a subkey to rename |
| new_name | new subkey name |
| LSTATUS utf8::RegSetValue | ( | HKEY | key, |
| const std::string & | value, | ||
| const std::string & | data | ||
| ) |
Convenience Wrapper for RegSetValueEx for string data.
| key | handle to an open registry key |
| value | name of the value to be set. If empty, the function sets the type and data for the key's unnamed or default value |
| data | value to be set |
Value type is set to REG_SZ
and data is appended a terminating NULL character.
| LSTATUS utf8::RegSetValue | ( | HKEY | key, |
| const std::string & | value, | ||
| const std::vector< std::string > & | data | ||
| ) |
Convenience Wrapper for RegSetValueEx for vector of string data.
| key | handle to an open registry key |
| value | name of the value to be set. If empty, the function sets the type and data for the key's unnamed or default value. |
| data | value to be set |
Value type is set to REG_MULTI_SZ
and formatted accordingly, with two terminating NULL characters.
| LSTATUS utf8::RegSetValue | ( | HKEY | key, |
| const std::string & | value, | ||
| DWORD | type, | ||
| const void * | data, | ||
| DWORD | size | ||
| ) |
Wrapper for RegSetValueEx
| key | handle to an open registry key |
| value | name of the value to be set. If empty, the function sets the type and data for the key's unnamed or default value |
| type | the type of data |
| data | pointer to data |
| size | data size (in bytes) |


The PCI networking system uses a 2 x 3 matrix structure, which means two referrals and three steps; Members interested have the opportunity to climb the ladder for each stage by fulfilling the requirements attached for each stage. This requirements and incentives for all stages is subjected to the company and can be adjusted without prior notice. (Read T and C). The stages runs from Beginner through Investor. According to the Club, We regard $1 as N400.00. This is subjected to change when need be. Below is the frame work for PCI incentives and compensation plan.
| Levels | Down-Line | Bonus($) | Bonus(₦) |
|---|---|---|---|
| 1 | 4 | 4 | 1600 |
| 2 | 16 | 16 | 6400 |
| Total | 20 | 20 | 8000 |
Incentives: $10.00
T-shirt, Face Cap and a wrist-watch worth ............
| Levels | Down-Line | Bonus($) | Bonus(₦) |
|---|---|---|---|
| 1 | 4 | 16 | 6400 |
| 2 | 16 | 64 | 25600 |
| Total | 20 | 80 | 32000 |
Incentives: $500.00
Laptop, Smart phone, Generator, Home ........
| Levels | Down-Line | Bonus($) | Bonus(₦) |
|---|---|---|---|
| 1 | 4 | 400 | 160,000 |
| 2 | 16 | 1600 | 640,000 |
| Total | 20 | 2000 | 800,000 |
Incentives: $1000.00
Entrepreneur grant worth .............................
| Levels | Down-Line | Bonus($) | Bonus(₦) |
|---|---|---|---|
| 1 | 4 | 800 | 320,000 |
| 2 | 16 | 3200 | 1,280,000 |
| Total | 20 | 4000 | 1,600,000 |
Incentives: $20,000.00
A car worth $15,000 + trip worth $2000 ........
| Levels | Down-Line | Bonus($) | Bonus(₦) |
|---|---|---|---|
| 1 | 4 | 10000 | 4,000,000 |
| 2 | 16 | 40000 | 16,000,000 |
| Total | 20 | 50000 | 20,000,000 |
Incentives: $100,000.00
A jeep worth $50,0000 + housing grant worth $40,0000, ........


<numcharref>
Use the <numcharref>
element
to identify mentions of XML numeric character
references, for example, " " or
"
". This element enables more precise
semantic searching of the DITA source; it also
enables distinct output formatting. The content of
the <numcharref>
element should
be the numeric value without any leading or
trailing characters added as style, for example,
"10" or "x0a". This element is part of the XML
mention domain.
Category: XML mention domain


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
IN THE HIGH COURT OF JHARKHAND AT RANCHI A.B.A. No. 6304 of 2018 1. Ramdas Mahto 2. Santosh Bediya ..... Petitioners Versus The State of Jharkhand ..... Opp. Party ---------
CORAM: HON'BLE MR. JUSTICE ANANT BIJAY SINGH
---------
For the Petitioners : Mr. K.S. Nanda, Advocate.
For the State : A.P.P. --------- 05/Dated: 04/01/2019
Petitioners are apprehending their arrest in connection with Sikidiri P.S. Case No. 11 of 2017, corresponding to G.R. No. 1206 of 2017, registered under Section 379 of the I.P.C., Section 21 (1) / 21 (6) of Mines and Minerals (Development and Regulation) Act, 1957 and Section 4 (54) Jharkhand Minor Minerals Concession Rule, 2004 and Sections 21(A), 37 of Prevention of Control of Air Pollution Act.
Learned counsel for the petitioners submitted that petitioners were the owner of the one of the crusher but the same has been closed due to non-grant of licence and environment clearances since long, but the informant has raided the same and register the case showing stock of stone chips and stone dust which was actually less in quantity and kept since long due to closure of mines. It is further submitted that one of the co-accused has already been admitted on anticipatory bail vide order 28.08.2018 in A.B.A. No. 4920 of 2018 by this Court.
Learned APP has opposed the prayer for bail. Be that as it may, I am inclined to admit the petitioners on anticipatory bail. The above named petitioners are directed to surrender in the Court below within four weeks from the date of this order and in the event of their arrest or surrender, the Court below shall enlarge the above named petitioners on bail on furnishing bail bonds of Rs. 25,000/- (Rupees twenty five thousand) each with two sureties of the like amount each to the satisfaction of Judicial Magistrate, Ranchi, in connection with Sikidiri P.S. Case No. 11 of 2017, corresponding to G.R. No. 1206 of 2017, subject to the conditions as laid down under Section 438(2) of the Cr.P.C. and subject to the further condition that petitioners shall deposit Rs. 32,000/- each before the court below at the time of surrender, which shall be subject to the result of the case and will not prejudice the case of the petitioner during trial.
(Anant Bijay Singh, J.) Sunil/


html>
Statistics of countries' import/export
Various country's industrial imports/exports contribution to world's market
- United States: $2.408 trillion (Up 7% from 2016 to 2017)
- China: $1.844 trillion (Up 16.1%)
- Germany: $1.174 trillion (Up 10.6%)
- Japan: $671.9 billion (Up 10.7%)
- United Kingdom: $641.3 billion (Up 0.8%)
- France: $613.1 billion (Up 9.4%)
- Hong Kong: $589.8 billion (Up 7.8%)
- South Korea: $478.4 billion (Up 17.8%)
- Italy: $451.4 billion (Up 11.6%)
- Netherlands: $450.1 billion (Up 13%)
- India: $444.1 billion (Up 24.5%)


|
Recombee API Client
|
Delete user More...
Public Member Functions | |
| DeleteUser (string userId) | |
| Construct the request More... | |
| override string | Path () |
| |
| override Dictionary< string, object > | QueryParameters () |
| Get query parameters More... | |
| override Dictionary< string, object > | BodyParameters () |
| Get body parameters More... | |
| Public Member Functions inherited from Recombee.ApiClient.ApiRequests.Request | |
| Request (HttpMethod httpMethod, int timeoutMilliseconds, bool ensureHttps=false) | |
| Construct the request More... | |
Properties | |
| string | UserId [get] |
| ID of the user to be added. More... | |
| Properties inherited from Recombee.ApiClient.ApiRequests.Request | |
| TimeSpan | Timeout [get, set] |
| Timeout for the request in milliseconds More... | |
| bool | EnsureHttps [get] |
| If true, HTTPS must be chosen over HTTP for this request More... | |
| HttpMethod | RequestHttpMehod [get] |
| Used HTTP method More... | |
Additional Inherited Members | |
| Protected Member Functions inherited from Recombee.ApiClient.ApiRequests.Request | |
| double | ConvertToUnixTimestamp (DateTime date) |
| |
Delete user
Deletes a user of given userId from the database. If there are any purchases, ratings, bookmarks, cart additions or detail views made by the user present in the database, they will be deleted in cascade as well.
|
inline |
Construct the request
| userId | ID of the user to be added. |
|
inlinevirtual |
Get body parameters
Implements Recombee.ApiClient.ApiRequests.Request.
|
inlinevirtual |
Implements Recombee.ApiClient.ApiRequests.Request.
|
inlinevirtual |
Get query parameters
Implements Recombee.ApiClient.ApiRequests.Request.
|
get |
ID of the user to be added.


I LOVE PYTHON¶
Here are a few scenarios. Do any of them sound familiar?
 You happily introduce your repo to your colleagues. Three weeks later, they’re still not using it. Even worse, they’re writing code that duplicates functions in your files.
- You’ve got a bunch of functions and files and you want to share it with your colleagues. But how?
- You’ve struggled through learning
sphinx
and you’ve managed to structure all the source files so the generated html files look nice. But where can you put those files so new people can read them and learn to use your code? - Your team just did a massive API restructure. After days of work, all your tests finally pass again. You drink. Weeks later, someone submits an issue…your examples are all broken.
- You’ve written a lot of beautiful tests, but you keep forgetting to run them every time you make changes to master. Surely there is a better way to do this???
I feel your pain. This repo is meant to be an example that you can reverse-engineer to learn about and implement…
- Package structuring
- Making a documentation website using sphinx and GitLab pages
- Configuring Travis-CI to automate testing and documentation generation
Sound interesting? Cool. Read on: How to use this project.
The source code used to generate the website can be found on GitHub. This project was developed by Jenni Rinker for the 2018 summer school in Advanced Scientific Programming in Python in Camerino, Italy.


Documentation¶
Core Functionality¶
-
class
protein_inference.problem_network.
ProblemNetwork
(network)¶ Stores a networkx object with nodes for proteins and peptides and edges for PSMs (protein-spectral-matches).
This object stores the protein-peptide PSM network along with several handy methods that support tagging, scoring and plotting functionalities.
-
network
¶ A networkx graph storing the ProblemNetwork
- Type
nx.Graph
-
get_edge_attribute_dict
(attribute)¶ Returns a dictionary of all edge:value pairings for a particular value.
- Parameters
attribute (string) – The name of the attribute for which to retrieve the edge:value pairings.
-
get_node_attribute_dict
(attribute)¶ Returns a dictionary of all node:value pairings for a particular value.
- Parameters
attribute (string) – The name of the attribute for which to retrieve the node:value pairings.
-
get_peptides
()¶ Returns a list of peptides contained in the network.
-
get_proteins
()¶ Return a list of the proteins contained in the network.
-
pick_nodes
(attribute, value)¶ Returns a list of all nodes with a particular attribute - value pairing
- Parameters
attribute (string) – The node attribute.
value (NA) – The value the attribute must be set to.
-
print_edges
()¶ Uses pretty print to show all edges and their attributes.
-
print_nodes
()¶ Uses pretty print to show all nodes and their attributes.
-
update_nodes
(nodes, attribute, value)¶ Takes a list of nodes in the networks and gives them a node attribute with a particular value.
- Parameters
nodes (list) – A list of nodes ids (strings) to update.
attribute (string) – The name of the attribute to update
value (NA) – The value to set the attribute to. Can be string or float.
-
-
class
protein_inference.network_grapher.
NetworkGrapher
¶ This class generates a pyvis graph representing a PSM network.
This class uses information encoded in the network component of the ProblemNetwork class. It creates an interactive network representation using the pyvis package. Several colouring options are available such as by status, groups or score.
-
colour_by_group
(pn)¶ Updates the node colour attributes in a ProblemNetworks network attribute according to the “allocated” and “major” attributes of those nodes”
- Param
pn: the ProblemNetwork to update.
-
colour_by_score
(pn)¶ Updates the node colour attributes in a ProblemNetworks network attribute according to the score attributes of those nodes”
- Param
pn: the ProblemNetwork to update.
-
colour_by_status
(pn)¶ ” Updates the node colour attributes in a ProblemNetworks network attribute according to the status attributes of those nodes”
- Param
pn: the ProblemNetwork to update.
-
draw
(problem_network, by='status', name='nx', size=[800, 800])¶ Draw creates the interactive network visualization from the ProblemNetwork object using pyvis and the colouring methods in this classs.
- Parameters
problem_network (ProblemNetwork) – An instance of the problem network object
by (string) – A string indicating the colouring method (“status”, “colour” or “group”)
name (string) – A string that will be used to generate the file name when the visualization is saved as an HTML file.
size (list) – A list of length two indicating the size in pixels of the resulting visualization
- Returns
- Return type
A static HTML object that is also written to the current working directory.
-
-
class
protein_inference.protein_inference_runner.
ProteinInferenceRunner
¶ The main class that drives the protein inference workflow.
This class groups the main coordinating functions that organise a protein inference workflow including PSM processing, graph generation, splitting, tagging, scoring, fdr calculations and output file writing.
To instantiate:
>>> runner = ProteinInferenceRunner()
-
get_output
(psms, decoy=0, scoring_method=<class 'protein_inference.reprisal.greedy_algorithm.GreedyAlgorithm'>)¶ Processes either target or decoy data.
Preprocesses data,generates, splits and tags networks. Scores proteins, merges proteins with identical neighbors and retrieves protein and peptide tables.
- Parameters
psms (pandas.DataFrame) – A pandas dataframe contain a psms table.
decoy (bool) – A boolean indicating whether decoys should be removed from the input table.
scoring_method (scoring method object) – A valid scoring method such as those in inference.scorers
- Returns
protein_table (pandas.DataFrame) – A pandas dataframe containing proteins and inference metrics.
peptide_table (pandas.DataFrame) – A pandas dataframe containing peptides and assignments.
solved_networks (a list of problem networks with scores and node) – labels.
-
parallel_apply
(pns, func)¶ Uses multiprocessing module in mython to apply a function to every problem network in a list of networks
- pnslist
A list of ProblemNetworks.
- func: function or method
A function or method that acts on a ProblemNetwork.
- pnslist
A list of processed ProblemNetworks.
-
run
(target_path, decoy_path, output_directory, scoring_method=<class 'protein_inference.reprisal.greedy_algorithm.GreedyAlgorithm'>)¶ This method calls the protein inference workflow.
This method locates two psm tables, corresponding to target and decoy matches, and uses them to generate output peptide and protein tables with scores and false discovery rates indicating which proteins are inferred and which peptides have been assigned to each protein (as evidence).
- target_pathstring
A path to a valid psm table with target matches
- decoy_pathstring
A path to a valid psm table with decoy matches
- output_directorystring
A path to the output directory
- scoring_methodscoring method object
A valid scoring method such as those in inference.scorers
- Returns
reprisal.target.proteins.csv (csv) – A file in the output directory. Describes the inferences made.
reprisal.target.peptides.csv (csv) – A file in the output directory. Describes the inferences made.
target_networks.p (pickle file) – A file that can be loaded using pickle to retrieve the target networks for visualization.
-
write_tables
(protein_table, peptide_table, output_directory)¶ Writes tables to csvs.
- protein_tablepandas.DataFrame
A pandas dataframe containing proteins and inference metrics.
- peptide_tablepandas.DataFrame
A pandas dataframe containing peptides and assignments.
- output_directorystring
A path to the output directory
- Returns
reprisal.target.proteins.csv (csv) – A file in the output directory. Describes the inferences made.
reprisal.target.peptides.csv (csv) – A file in the output directory. Describes the inferences made.
-
-
class
protein_inference.table_maker.
TableMaker
¶ A class that groups functions required to generate output tables.
- get_protein_table(pn)
Processes a ProblemNetwork to retrieve the corresponding protein table
- get_protein_tables(pns)
Processes a list of ProblemNetworks to retrieve the corresponding protein tables in a list.
- get_system_protein_table(pns):
Processes a list of ProblemNetworks to retrieve the corresponding protein table.
- get_peptide_table(pn)
Processes a ProblemNetwork to retrieve the corresponding peptide table
- get_peptide_tables(pns)
Processes a list of ProblemNetwork to retrieve the corresponding peptide tables in a list.
- get_system_peptide_table(pns):
Processes a list of ProblemNetworks to retrieve the corresponding peptide table.
- _get_edge_list(pn):
Retrieves a pandas dataframe encoding the edges from peptide to protein for each edge in a ProblemNetwork.
- find_molecule(pns, molecule):
Find the molecule (a string corresponding to a protein id or modified peptide sequence) in the list of ProblemNetworks and returns the corresponding network.
Processing¶
-
class
protein_inference.processing.processed_psms.
ProcessedPSMs
(df)¶ A class that bundles a psm table in a pandas dataframe with some useful methods.
- dfpandas.DataFrame
A pandas dataframe containing the psms list.
- get_proteins()
Returns a list of proteins contained in the dataframe attribute.
- get_peptides()
Returns a list of peptides contained in the dataframe attribute.
- get_shape()
Returns the shape of the dataframe attribute in a length 2 tuple.
-
class
protein_inference.processing.psms_preprocessor.
PSMsPreprocessor
(df, partial=0, decoy=0)¶ A class that collects methods for preprocessing a psms list contained in a pandas dataframe.
- PSMspandas.DataFrame
a pandas dataframe containing the psms list.
- partialint
The number of psms to retrieve if a partial processing is to be done. 0 implies complete processing.
- decoybool
0 if input needs to be processed to remove decoy proteins
- get_processed_psms(df, partial=0, decoy=0)
Applies a series of preprocessing methods to the PSMs attribute and returns the preprocessed data as a ProcessedPSMs object.
- _preprocess_q_values(df)
Returns only the psms with q_value < 0.01
- _preprocess_columns(df)
Returns the highest scoring/lowest pep/lowest q value associated with each psm
- _preprocess_duplicates(df)
Splits rows that have duplicate proteins id’s into rows in the dataframe.
- _preprocess_decoys(df)
Removes rows with a protein id prefixed by decoy
- _preprocess_column_names(df)
Rename columns where percolator naming is used to more generic column names
- _preprocess_no_q_values(df)
If no q values are present in the psms list, set all q values to negative one.
Warning: _preprocess_no_q_values(df) allows use of potentially bad psms because information is available for filtering matches.
-
class
protein_inference.processing.psms_network_splitter.
PSMsNetworkSplitter
(network)¶ A class that splits a networkx graph generated a psm table.
- networknetworkx.Graph
A networkx graph generated by PSMsNetworkGenerator.
- split_networks()
Splits the networkx graph into connected components, converts them into ProblemNetworks and returns the results as a list.
-
class
protein_inference.processing.psms_network_generator.
PSMsNetworkGenerator
(PSMs)¶ A class that generates a networkx graph from a psm table.
- PSMsProcessedPSMs
A ProcessedPSMs instance.
- generate_network()
Generates the networkx graph with appropriate node types, labels and edge attributes.
Inference¶
-
class
protein_inference.inference.false_discovery_rate_calculator.
FalseDiscoveryRateCalculator
¶ Packages related function for estimating false discovery rates and q - values.
-
FDR
(threshold, target, decoy)¶ Calculates the false discovery rate at a given threshold based on the score distributions in the target and decoy pandas tables. ‘
- Parameters
threshold (float) – A number between 0 and 1.
target (pandas.DataFrame) – A target protein table produced by ProteinInferenceRunner().get_output()
decoy (pandas.DataFrame) – A decoy protein table produced by ProteinInferenceRunner().get_output()
-
tag_FDR
(target, decoy, entrapment=False)¶ Creates an FDR column in the target table. If entrapment is set to true it changes the column name (used in benchmarking.)
- Parameters
target (pandas.DataFrame) – A target protein table produced by ProteinInferenceRunner().get_output()
decoy (pandas.DataFrame) – A decoy protein table produced by ProteinInferenceRunner().get_output()
entrapment (bool) – Indicates whether or not to prefix the FDR column with “entrapment”
-
tag_q_value
(target, decoy, entrapment=False)¶ Create a q-value column for the target table based on the score distributions in the target and decoy pandas tables.
- Parameters
target (pandas.DataFrame) – A target protein table produced by ProteinInferenceRunner().get_output()
decoy (pandas.DataFrame) – A decoy protein table produced by ProteinInferenceRunner().get_output()
entrapment (bool) – Indicates whether or not to prefix the FDR column with “entrapment”
-
-
class
protein_inference.inference.protein_merger.
ProteinMerger
¶ A class responsible for identifying indistinguishable proteins inside a problem network and mergine those nodes.
- run(pn):
Merges proteins with the the same peptide connections and returns an updated problem network.
- _list_to_string(l):
Utility for converting a list to a string seperated by semi-colons.
- _string_to_list(l):
Utility for a string seperated by semi-colons to a list.
- get_mapping(pn):
Identifies proteins with same peptide neighbors, returning a dataframe of peptide neighbour list, protein list pairs.
- get_named_proteins(pn):
Chooses proteins from the protein lists with the same peptide neighbours to keep (by sort order). Returns a dataframe indicating these.
-
class
protein_inference.inference.scorers.
BestPeptideScorer
¶ A class that includes one function, run, which takes a problem network and scores peptides use the best peptide method.
-
run
(pn)¶ Scores proteins using the PEP Product Method.
- Parameters
pn (ProblemNetwork) – An instance of the problem network object
- Returns
pn – An instance of the problem network object where protein nodes have a score attribute.
- Return type
-
-
class
protein_inference.inference.scorers.
BestTwoPeptideScorer
¶ A class that includes one function, run, which takes a problem network and scores peptides use the best peptide method.
-
run
(pn)¶ Scores proteins using the Best Two Peptides method.
- Parameters
pn (ProblemNetwork) – An instance of the problem network object
- Returns
pn – An instance of the problem network object where protein nodes have a score attribute.
- Return type
-
-
class
protein_inference.inference.scorers.
PEPProductScorer
¶ A class that includes one function, run, which takes a problem network and scores peptides use the PEP Product method.
-
run
(pn)¶ Scores proteins using the PEP Product Method.
- Parameters
pn (ProblemNetwork) – An instance of the problem network object
- Returns
pn – An instance of the problem network object where protein nodes have a score attribute.
- Return type
-


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Berkeley DB: DbLockTab::stat
DbLockTab::stat
#include <db_cxx.h>
int
DbLockTab::stat(DB_LOCK_STAT **statp, void *(*db_malloc)(size_t));
Description
The DbLockTab::stat method
creates a statistical structure and copies pointers to it into
user-specified memory locations.
Statistical structure are created in allocated memory.
If
db_malloc is non-NULL, it is called to allocate the memory,
otherwise, the library function malloc(3)) is used.
The function db_malloc must match the calling conventions of
the malloc(3)) library routine.
Regardless, the caller is responsible for deallocating the returned
memory.
To deallocate the returned memory, free each returned memory pointer;
pointers inside the memory do not need to be individually freed.
The lock region statistics are stored in a structure of type
DB_LOCK_STAT. The following DB_LOCK_STAT fields will be filled in:
- u_int32_t st_magic;
- The magic number that identifies a file as a lock file.
- u_int32_t st_version;
- The version of the lock file type.
- u_int32_t st_refcnt;
- The number of references to the region.
- u_int32_t st_regsize;
- The size of the region.
- u_int32_t st_maxlocks;
- The maximum number of locks possible.
- u_int32_t st_nmodes;
- The number of lock modes.
- u_int32_t st_numobjs;
- The number of unique objects locked.
- u_int32_t st_nlockers;
- The number of unique lockers.
- u_int32_t st_nconflicts;
- The total number of locks not immediately available due to conflicts.
- u_int32_t st_nrequests;
- The total number of locks requested.
- u_int32_t st_nreleases;
- The total number of locks released.
- u_int32_t st_ndeadlocks;
- The number of deadlocks detected.
- u_int32_t st_region_wait;
- The number of times that a thread of control was forced to wait before
obtaining the region lock.
- u_int32_t st_region_nowait;
- The number of times that a thread of control was able to obtain
the region lock without waiting.
The DbLockTab::stat
method either returns errno or throws an exception that
encapsulates an errno on failure, and 0 on success.
Errors
If a fatal error occurs in Berkeley DB, the DbLockTab::stat method may fail and either
return DB_RUNRECOVERY or throw an exception encapsulating DB_RUNRECOVERY,
at which point all subsequent database calls will also fail in the same
way. Methods marked as returning errno will, by default, throw
an exception that encapsulates the error information. The default error
behavior can be changed, see DbException.
The DbLockTab::stat
method may fail and throw an exception
for any of the errors specified for the following Berkeley DB and C library
functions:
abort(3),
fcntl(3),
fprintf(3),
getpid(3),
malloc(3),
and
memset(3).
Class
DbLockTab
See Also
DbLockTab::close,
DbLockTab::detect,
DbLockTab::get,
DbLockTab::id,
DbLockTab::open,
DbLockTab::stat
DbLockTab::unlink
and
DbLockTab::vec.


--- layout: post status: publish published: true title: '"You''ve seen some booty teams" - Episode 8.59' author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 12104 wordpress_url: http://ivyenvy.com/?p=12104 date: '2016-10-03 08:07:28 +0000' date_gmt: '2016-10-03 13:07:28 +0000' categories: - Podcast tags: [] comments: [] ---
Well, the Cubs completed the 2016 MLB season with 103 wins and in this episode, we look back and reflect on the incredible regular season.
We will have plenty of time to fret about the playoffs, but we felt like we should take a deep breath and appreciate the 2016 season for what it was. In this episode, we talk about some of the key moments and plays. We look at the team performance in offense, defense, and pitching. We also talk about some of the individual player performances on the season.


This page presents a visual example of a simple Genetic Algorithm implemented to solve F6 function, which is a well-known multimodal optimization problem.
Use 'Options' section to set some parameters and see their impact on the optimization process as well as animation behavior.


---
title: "Flowers are in Session"
date: "2019-08-23 00:00:00 -06:00"
categories:
- whats-blooming
layout: "post"
blog-banner: "whats-blooming-now-summer.jpg"
post-date: "August 23, 2019"
post-time: "12:00 PM"
blog-image: "2019-08-23-wbn.jpg"
published: true
---
School is in session for many, and so are the flowers! Just because school has started does not mean that summer is over. Visiting the Garden may be just the break you need from school or work.
A mixture of Kniphofia cultivars 'Papaya Popsicle', 'Lemon Popsicle', and 'Mango Popsicle'. A combination to stop anyone in their tracks.
These flowers can be seen in the 3rd Wayside.
I was able to catch a photo of this flower before it closed for the day. It is a night bloomer.
Doesn't this make a wonderful sea of yellow? This would make a great spot for a picnic.
 The whole plant looks like it is glowing in the sun, and it is also buzzing with bees.
It's the weekend, so go ahead and put your homework or work down and head up to Red Butte Garden for a lesson on natures beauty!


?PLANTS
OF
THE
WEST
INDIES
A.
C.
Smith,
no.
10068
March
10,
1956
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/cx-/v7©//ft-
C.
cUi.
CTudzi&jXc^
Coarse
herb
to
2
i*
high,
along
trailÈ
TRINIDAD:
Arima
Valley:
Santa
Isabella
trail,
near
Simla;
alt.
250-350
m.;
forest.
Collected
on
the
Smitbsonian-Bredin
Caribbean
Expedition
SMITHSONIAN
INSTITUTION
From
THE
UNITED
STATES
NATIONAL
HERBARIUM
'NE'*1
YO/^
BOTANICAL
GARDeH,
1604241
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


|
| | RtMidiOut (RtMidi::Api api=UNSPECIFIED, const std::string clientName=std::string("RtMidi Output Client")) |
| | Default constructor that allows an optional client name. More...
|
| |
| | ~RtMidiOut (void) throw () |
| | The destructor closes any open MIDI connections. More...
|
| |
| RtMidi::Api | getCurrentApi (void) throw () |
| | Returns the MIDI API specifier for the current instance of RtMidiOut. More...
|
| |
| void | openPort (unsigned int portNumber=0, const std::string portName=std::string("RtMidi Output")) |
| | Open a MIDI output connection. More...
|
| |
| void | closePort (void) |
| | Close an open MIDI connection (if one exists). More...
|
| |
| virtual bool | isPortOpen () const |
| | Returns true if a port is open and false if not. More...
|
| |
| void | openVirtualPort (const std::string portName=std::string("RtMidi Output")) |
| | Create a virtual output port, with optional name, to allow software connections (OS X, JACK and ALSA only). More...
|
| |
| unsigned int | getPortCount (void) |
| | Return the number of available MIDI output ports. More...
|
| |
| std::string | getPortName (unsigned int portNumber=0) |
| | Return a string identifier for the specified MIDI port type and number. More...
|
| |
| void | sendMessage (std::vector< unsigned char > *message) |
| | Immediately send a single message out an open MIDI output port. More...
|
| |
| virtual void | setErrorCallback (RtMidiErrorCallback errorCallback=NULL) |
| | Set an error callback function to be invoked when an error has occured. More...
|
| |
A realtime MIDI output class.
This class provides a common, platform-independent API for MIDI output. It allows one to probe available MIDI output ports, to connect to one such port, and to send MIDI bytes immediately over the connection. Create multiple instances of this class to connect to more than one MIDI device at the same time. With the OS-X, Linux ALSA and JACK MIDI APIs, it is also possible to open a virtual port to which other MIDI software clients can connect.
by Gary P. Scavone, 2003-2014.
Definition at line 348 of file RtMidi.h.
| RtMidiOut::RtMidiOut |
( |
RtMidi::Api |
api = UNSPECIFIED , |
|
|
const std::string |
clientName = std::string( "RtMidi Output Client") |
|
) |
| |
Default constructor that allows an optional client name.
An exception will be thrown if a MIDI system initialization error occurs.
If no API argument is specified and multiple API support has been compiled, the default order of use is ALSA, JACK (Linux) and CORE, JACK (OS-X).
Definition at line 187 of file RtMidi.cpp.
| void RtMidiOut::openVirtualPort |
( |
const std::string |
portName = std::string( "RtMidi Output" ) | ) |
|
|
inlinevirtual |
Create a virtual output port, with optional name, to allow software connections (OS X, JACK and ALSA only).
This function creates a virtual MIDI output port to which other software applications can connect. This type of functionality is currently only supported by the Macintosh OS-X, Linux ALSA and JACK APIs (the function does nothing with the other APIs). An exception is thrown if an error occurs while attempting to create the virtual port.
Implements RtMidi.
Definition at line 554 of file RtMidi.h.


Sweet beast tickle my belly at your own peril i will pester for food when you're in the kitchen even if it's salad spend six hours per day washing


At 4pm, my closest friend and I went to a local head shop, to pick up 3 boxes of Nitrous Oxide, and glow sticks, to accompany the evening. Arriving at my friends house at 5pm, we each measured out our 35 mg doses(6 all together), and parachuted each dose, as well as hitting on a few cans of nitrous.
Walking outside(+30), we began to notice the positive energy creating itself. As darkness began to set in, the rain outside formed exceedingly fast moving clouds, which gave the appearance of visuals. Positivity seemed to reign supreme over everyone in the house, and I believe that the positivity is which kept all 6 of us so closely knit over the course of the insanity which was to ensue.
After 2 or 3 hours of dosing, the full effects had seem to come on, which involved a very very sane mental reaction, but with a very empathetic feeling of inner wisdom amongst each of us. As time went on, a few people arrived, who began to smoke bowls and joints, and blunts of all sorts of pot. All of us involved joined in, and the high attained from the pot seemed to be a completely seperate entity from the AMT, almost seperating themselves very distinctly. The high on the AMT was very clear headed, whereas the pot kind of added this feeling of dreaminess to it all.
After that was finished(+3:30) we decided to go back into the house, dim all of the lights, and pull out the drums, and other instruments. The best description of the night from this point out was utter beauty. I myself was on guitar and piano, switching back and forth, using an extremely insane amount of pedals, making just very very distant sounds. Matched with 3 people on assorted hand drums and bongo's, the music from this point out took the night over. Never in my life have I heard anything that sounded like what we made, and for everyone there, it was just a tight bonding experience, we could stop playing our instrument for a minute, take a hit of nitrous, close your eyes, and let the patterns create themselves in your head. All of this chaos ended at about 4am, with some people who were not playing, just drawing what they were hearing.
Overall, I didn't see an exceedingly large amount of visuals, closed eyed or open eyed. The pot made the AMT experience much better in my opinion, and honestly, this was one of the best experiences I've had in my life.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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Before Change
if self._is_weighted:
wd = wd.multiply(root_w_sparse)
wx_mean = np.column_stack(
[lsmr(wd, wx[:, i], atol=1e-8, btol=1e-8)[0] for i in range(x.shape[1])])
wy_mean = (lsmr(wd, wy, atol=1e-8, btol=1e-8)[0])[:, None]
wx_mean = csc_matrix(wx_mean)
wy_mean = csc_matrix(wy_mean)
After Change
if self._is_weighted:
wd = wd.multiply(root_w_sparse)
wx_mean = []
for i in range(x.shape[1]):
cond_mean = lsmr(wd, wx[:, i], atol=1e-8, btol=1e-8)[0]
cond_mean /= cond
wx_mean.append(cond_mean)
wx_mean = np.column_stack(wx_mean)
wy_mean = lsmr(wd, wy, atol=1e-8, btol=1e-8)[0]
wy_mean /= cond
wy_mean = wy_mean[:, None]


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Welcome to the King of Games (KOG) 2018 competition hosted by the Lambda server on Discord
Rules go here
Each gaming category has three (3) sections in which judges will be judging you on. Each section is worth 100 points. Judges will rate your performance in each section of the category using a 10 point scale system. You will get 100 or a fraction of 100 based on these ratings for each section, up to a total of 300 points per category. If you dominate each category, an additional 50 points will be added to your total. Below is an example of how your scores for Platformer could look like:
| Judge H | Judge J | Judge K | |
|---|---|---|---|
| Section 1 | 10 | 5 | 2 |
| Section 2 | 5 | 5 | 5 |
| Section 3 | 9 | 10 | 10 |
The highest number of points you can get per section is 100. The highest score you can get from all judges is 30 (i.e. H, J, and K give you a 10)
This means that for the entire Platformer category, your final score is: 204
Say, however, that 57, 50, and 97 are the highest scores that each section got amongst all players. That is, you scored the highest on each individual section of the platformer category. You will get an additional 50 points added to your total. Your new final score is: 254


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BJGEO
The Brazilian Journal of Geology is published by the Brazilian Geological Society (SBG, in the Portuguese acronym) since 1971 (with a previous title of Revista Brasileira de Geociencias) and has been re-structured in 2013 aiming to be the leading journal for Geosciences in Latin America. The journal is indexed by Web of Science, Scopus, GeoRef and is hosted by SciELO, the largest electronic library of open-access scientific journals.
In this page I’ll post some useful tips and resources for authors interested in submitting their articles to BJGEO.
| Metrics | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|---|---|---|
| Impact Factor (JCR) | 0.598 | 0.798 | 1.250 | 1.590 | 1.046 | 1.259 | 2.253 |
| Impact Factor (5-year) | 0.598 | 0.797 | 1.165 | 1.440 | 1.570 | 1.967 | 2.812 |
| Scimago (SJR) | 0.361 | 0.427 | 0.608 | 0.584 | 0.647 | 0.469 | 0.724 |
| CiteScore | 0.7 | 1.2 | 1.8 | 2.0 | 2.6 | 2.0 | 3.1 |
FAQ about BJGEO:
Are there any charges for publishing (APCs)?
Yes. Starting March 31st 2023, the Brazilian Geological Society (SBG) will charge an Article Processing Charge (APC) for all articles that are accepted for publication.
This was not an easy decision, but there was no other way to mantain the publication without the APCs. Still, the values are considerably lower than most APCs, whith cost starting at R$ 5,000.00 (USD 1,000.00).
Note that the APC doesn’t cover all the publication costs, which means that the SBG still needs to look for funding and that your membership is key to keep both the society and the journal alive.
The APC value is R$ 1600.00 (about USD 320.00).
BUT…
If at least half of the authors are SBG members, with their annual fees payed, then the APC is waived (in other words, a 100% discount).
Where is the submission link?
Right here. The submission system we use is ScholarOne.
The full link is this: https://mc04.manuscriptcentral.com/bjgeo-scielo
I’ve never submitted a paper before. How does it work?
Here you will find a simple guide about the whole process of publishing your article, from the submission to the final celebration (in Portuguese):
- Da submissão à comemoração, ou como funciona o processo de avaliação de um artigo científico, e qual sua parte nisso - https://doi.org/10.6084/m9.figshare.7701479.v1
And here is a video about it: Como funciona a revisão de um artigo científico?
How long does it take from submission to first response?
This is a common question, and we try to give an answer to the author within 2 months since submission, but maybe the best answer is: it depends. Depends on what? A lot, actually.
First you submit you paper, then it goes to the Editor-in-Chief (EIC), who will screen it to see if it’s a good fit for the journal, if it’s an interesting topic, etc. If the paper is considered within our standards, it will be assigned to an Associate Editor (AE). The AE usually handles papers related to his/hers area of specialty (tectonics, petrology, etc) and will invite two or three reviewers to, well, review the paper. Each reviewer has 30 days to return the evaluation and from those recommendations, the AE can make an initial decision (reject/revise).
If the paper needs revisions, it might take weeks or months until it is ready for a second round of reviews. After the revised version is submitted, the AE can make its own assessment (if it was just minor revisions) or will send it to the reviewers again (if it needed major revisions).
Of course, all of this can be delayed. Inviting reviewers is not easy, as we all receive lots of requests and it’s quite common for someone to be unavailable due to an overload of work. And we’re all geoscientists, so we have field trips as well. And we have our professional duties like teaching (for those in academia) and “real work” (for those in the industry). And we have family and friends…
In the end, if the paper is well-written, if the reviewers accept the invitation, if they return their scores in time, if the recommendation is of ‘minor review’ and if the authors send the revised version quickly, it can be accepted within 4-6 months since the initial submission.
Since 2019 we adopted a ‘continuous flow’ of publication. This means that once a paper is accepted, it goes to production (typesetting) and its uploaded to the journal with a final DOI and page numbering (in about 2 weeks).
Can I publish my thesis’ biliographic review as an “Invited Review”?
In short, no. An “Invited Review” should cover a subject with a broad international interest, and we expect the authors to have previous experience on the subject, so they can offer their own knowledge and critique point of view in the article.
There’s a blog post (in Portuguese) about this here.
Any tips about maps?
Yes. Be careful with the UTM zone of your study area. For example, an area in southeastern Brazil will not be in zone UTM “23S”, but “23K” or “23L”.
There’s a blog post about this. Read it here.


mangle
`Prev `__
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--------------
**mangle**: vt.
1. Used similarly to `*mung* `__ or
`*scribble* <../S/scribble.html>`__, but more violent in its
connotations; something that is mangled has been irreversibly and
totally trashed.
2. To produce the `*mangled name* `__ corresponding
to a C++ declaration.
--------------
+---------------------------+----------------------------+---------------------------------+
| `Prev `__ | `Up <../M.html>`__ | `Next `__ |
+---------------------------+----------------------------+---------------------------------+
| manged | `Home <../index.html>`__ | mangled name |
+---------------------------+----------------------------+---------------------------------+


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