Estee Launder To Acquire Have & Be For First Asia Move
by Donovan JonesSummary
- The Estee Lauder Companies has agreed to acquire the remaining portion of Have & Be at an enterprise value of $1.7 billion.
- Have & Be is a Seoul-based beauty brand with over $500 million in annual sales.
- With the deal, EL is making a major move into Asia. I expect more acquisitions in the future.
Quick Take
The Estée Lauder Companies (EL) announced it has agreed to acquire the remainder of Have & Be for an undisclosed amount.
Have & Be operates as a global skin care company, marketing its products under the brands Dr.Jart+ Skincare and Do The Right Thing.
With the deal, EL is acquiring an existing partner and its first Asia-based beauty brand as management hints at more acquisitions in the region.
Target Company & Market
Seoul, South Korea-based Have & Be was founded in 2005 to manufacture and market its skincare and men’s grooming products under the brands Dr.Jart+ Skincare and Do The Right Thing, respectively.
Management is headed by Founder and CEO ChinWook Lee.
According to a market research report by Report Buyer, the global skin care products market is projected to reach $183 billion by 2025.
This represents a forecast a CAGR of 4.5% between 2019 and 2025.
The main drivers for this expected growth are the increasing demand for natural, herbal, and organic products that have no adverse effects, primarily due to a rising geriatric population.
Major vendors that provide skin care products include:
- L'Oréal (OTCPK:LRLCF) (OTCPK:LRLCY)
- Unilever (NYSE:UL) (NYSE:UN)
- Beiersdorf (OTCPK:BDRFF) (OTCPK:BDRFY)
- Colgate-Palmolive (CL)
Source: Sentieo
Acquisition Terms and Financial
EL didn’t disclose the acquisition price and terms and didn’t file a form 8-K or provide a change in financial guidance.
The firm is acquiring the remaining two-thirds of Have & Be that it previously did not own. EL invested in Have & Be in 2015.
Have & Be’s current enterprise value is estimated to be $1.7 billion and EL said it will fund the deal with debt.
To that end, perhaps, EL filed an 8-K stating that it has completed offerings of a total of approximately $1.8 billion in senior notes.
A review of the firm’s most recent published financial results indicates that as of September 30, 2019, EL had $2.3 billion in cash and equivalents and $10.9 billion in total liabilities, of which $2.9 billion was long-term debt.
Free cash flow for the three months ended September 30, 2019, was a negative ($295 million).
In the past 12 months, EL’s stock price has risen 37.0% vs. the U.S. Personal Product industry’s rise of 21.9% and the overall U.S. market’s growth of 16.1%, as the chart and corporate events graphic indicates below:
Source: Simply Wall Street
Earnings surprises have been positive in all twelve of the last twelve quarters, according to the chart shown below:
Source: Seeking Alpha
Analyst sentiment in recent earnings calls has risen from a low in Q4 2018 according to a linguistic analysis illustrated here:
Source: Sentieo
Valuation Metrics
Below is a table of relevant capitalization and valuation figures for the company:
| Measure | Amount |
| Market Capitalization | $69,350,000,000 |
| Enterprise Value | $73,210,000,000 |
| Price / Sales | 4.58 |
| EV / Sales | 4.81 |
| EV / EBITDA | 21.99 |
| Earnings Per Share | $5.09 |
| Total Debt To Equity | 133.74% |
| Net Free Cash Flow | $1,560,000,000 |
| Revenue Growth Rate | 9.34% |
Source: Company Financials
Below is an estimated DCF (Discounted Cash Flow) chart of the firm’s projected current price vs. estimated fair value:
This DCF concludes the firm’s shares at fair value should be $174.88 versus the current price of $192.74, indicating they are overvalued by 10.2%, with the assumptions of the DCF.
Commentary
EL is acquiring the remaining two-thirds of Have & Be according to its original investment agreement as the firm acquires its first Asian beauty company.
As EL stated in the deal announcement,
As one of the fastest growing skin care brands globally, Dr. Jart+ is expected to help further strengthen The Estée Lauder Companies’ leadership position in skin care, and will especially help expand the Company’s consumer reach in Asia/Pacific, North America, the United Kingdom and travel retail.
South Korean beauty brands have demonstrated their influence far beyond the country’s borders and into China, Japan and Asia more broadly.
The deal, noted as the ‘first acquisition,’ will likely not be EL’s last acquisition in Asia.
EL is smart to acquire a firm it has already partnered with, reducing any integration risks or the potential for culture clashes.
With interest rates continuing to move lower, EL funding the deal with debt doesn’t present a short-term financial hardship.
While EL’s stock may be overvalued at its present level, acquiring Have & Be should be a positive over the longer term as EL pivots to Asia to a more substantial degree.
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Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.


I'm a website designer and developer living in beautiful Boulder, Colorado. I like to make digital things and occasionally write about what's on my mind.
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Eric Solomon
Fullstack Engineer, Engineering Team Leader, & Technology GeneralistExperiences
2021
Engineering Team Lead
Bitcoin Depot (remote)- Design system architecture, collaborate on product specifications, manage implementation details, and monitor production product health for cryptocurrency business and marketing products. Make use of AWS, Python/Django, React, HTML/CSS, Docker, Gitlab, Jira, and other modern tools
- Manage project timelines, expectations, task delegation, and communications for engineering tasks involving internal engineering team, associated internal company branches, and contracted consulting groups
- Deliver high-quality products in a timely manner with minimal stress where applicable
20212020
Fullstack Engineer
Bitcoin Depot (remote)- Manage and scale cryptocurrency transactional infrastructure using AWS, Python/Django, React, HTML/CSS, Docker, and other modern tools
- As the top engineer, manage the workflow of peer engineers via Gitlab, and Jira
- As the first in-house engineer for the Bitcoin Depot project, participate in the process of growing the in-house engineering team
2020
Senior Fullstack Engineer
Upstack (remote)- Work dynamically and autonomously with independent clients to create fullstack applications in NodeJS, ReactJS, Go, Python, SQL, and NoSQL (incl MongoDB)
- Maintain ownership of and accountability for CI/CD pipelines, including with Docker, and AWS EC2, S3, IAM, Lambda, and others
20192018
Fullstack Engineer
Boid: Social Supercomputer (remote)- Design, implement, and manage blockchain-based system to run a medium-scale distributed computing cluster using Python, Javascript, C++, SQL, Docker, and AWS EC2, S3, IAM, and RDS
- Perform blockchain simulations, migrations, and audits using Python (incl Pandas), NodeJS, C++, and Docker
- Participate in startup funding proposal and business outreach processes
20182016
Graduate Research Assistant
Alfred Gessow Rotorcraft Center College Park, Maryland- Create state-of-art, resource-constrained aerial robotics systems, including computer vision, controls, and artificial intelligence using Python (incl Tensorflow and Pandas) and C++ (incl ROS, FreeRTOS, and Snapdragon SDK)
- Manage engineering pipeline for undergraduate, graduate, and third-party collaborators including the U.S. military
- Publish papers, write contract proposals, and speak at technical conferences
Selected Projects
2020
GatsbyJS
GatsbyJS- Contribute to the GatsbyJS static-site generator using NodeJS, ReactJS, Github Actions, and CircleCI
- Document & demonstrate asynchronous plugin usage
- Update to image components to maintain HTML validation
2020
Linkerd
Linkerd- Contribute to the Linkerd service mesh using Go, Rust, and Github Actions
- Incorporate RSA-based PKI certifications
- Validate compatibility of Kubernetes service accounts
2020
Personal projects
Personal- Create serverless and microservice-based projects with modern techniques using ReactJS, Typescript, NodeJS, Go, Python (incl Django), SQL, NoSQL (incl MongoDB), Docker, Kubernetes, and AWS EC2, S3, IAM, Lambda, RDS, and others
- Fractalooze: Compress images up to 15x compression rate using fractals. Integrate with JAMstack-based display and API.
- Graphtools: Create a general purpose graph for visualizing and testing algorithms using Go, websockets, and ReactJS
- AAAB: Create a serverless webapp for dataset source validation to experiment with quantum computing using IBM Qiskit, Python, and ReactJS
20192018
BOID-EOS
Boid- Manage the effectiveness of BOID teams, which sell personal computing power and compete for prizes using EOSIO and World Community Grid platforms for secure, distributed, redundant cluster computing
- Create API endpoints based on the EOSIO public blockchain and Boid-run, customer-facing NodeJS servers served with AWS-VPC and backed by managed SQL databases
2018
Metaltail Hybrid VTOL Vehicle
Alfred Gessow Rotorcraft Center- Design and analyze avionics and controls systems for a hybrid hover & forward-flight vehicle for use in urban environments
- Perform flight simulations and vehicle tradeoff analysis using Python (incl Tensorflow and Pandas) and C++ (incl ROS)
- Collaborate with a team of aerospace engineers to analyze budget, weight, and technology-readiness of the entire vehicle
Education
20182016
M.Sc. in Aerospace Engineering
University of Maryland College Park, Maryland- Focus in aerial robotics
- GPA: 3.47
20162012
B.Sc. in Aerospace Engineering
University of Maryland College Park, Maryland- Minor in Computer Science
- GPA: 3.40
Publications
2019
"Reinforcement Learning Control for Quadrotors using Snapdragon
Flight". E. Solomon, A. Shastry, V. Hrishikeshevan, I. Chopra.
8th Biennial Technical Meeting on VTOL Unmanned Aircraft Systems
and Autonomy. Mesa, AZ. Jan 2019
2018
"Autonomous Quadrotor Control and Navigation with Snapdragon
Flight". E. Solomon, V. Hrishikeshevan, I. Chopra. 74th American
Helicopter Society International Forum. Phoenix, AZ. May 2018
2017
"Visual Odometry Onboard a Micro Air Vehicle Using
Snapdragon Flight". E. Solomon, C. Vorwald, V. Hrishikeshevan,
I. Chopra. 7th American Helicopter Society Technical Meeting on
VTOL Unmanned Aircraft Systems and Autonomy. Mesa, AZ. Jan 2017.
Awards
2018
2018 American Helicopter Society Graduate Design Prize


Thom Romano
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Tech Blog Week 4
BootCoder
Enumerable#group_by
Ruby's group_by mixin is a handy dandy thing to have around. Lets think on a grand scale. What if you had an array with the telephone numbers of all of S.F. But, lets say you wanted to sort them by prefix.
You can use group_by to easily accomplish this task. Producing the following hash made up of arrays for each prefix
nums = %w[554-323-7654<PHONE_NUMBER><PHONE_NUMBER>
524-333-7654<PHONE_NUMBER><PHONE_NUMBER><PHONE_NUMBER>
554-323-7614<PHONE_NUMBER>]
nums.group_by { |n| n[0..2] }
{
"554"=>["554-323-7654", "554-323-7654", "554-323-7054", "554-323-7454", "554-323-7614"],
"534"=>["534-323-7654"],
"524"=>["524-333-7654", "524-323-7454", "524-323-7654"]
}
I found a great site detailing how this works here.


GSnova is an open source, client–server model web proxy application build on PaaS platforms.
Refer snova site for more information.
You can press the button below to stop gsnova.


{% extends 'tenant_configuration/base.html' %} {% load staticfiles i18n compress thumbnail %} {% block content %} {% compress js inline %} {% include 'tenant_configuration/organization/4/js.html' %} {% endcompress %}
Now, we need to identify which of your tags are programs that run or plan to offer in the short-term - this will help clients filling out an online intake form, and will make them available for signup. If you do not set any tags as programs, then the system will create a 'General intake' option for your clients.


{!extends base.html !} {!block title!}{%set page 'faq'%}Jangod, quite often intended question{!endblock!} {!block content!} This page is building. {!endblock!}


I am a student at the University of Waterloo.


Calculation of pulse EPR spectra.
saffron(Sys,Exp) saffron(Sys,Exp,Opt) y = saffron(...) [x,y] = saffron(...) [x,y,p] = saffron(...)
See also the examples and part I and part II of the saffron
userguide.
This function calculates pulse EPR (ESEEM and ENDOR) spectra of powder and single crystals. Two different simulations methods are available: a fast one that works with predefined experiment sequences and certain user defined ones (referred to as fast) and a much slower but completely general algorithm (referred to as thyme). For more details see here.
The output contain the abscissa data in x
and the simulated data in y
.
For single-point detection simulations, y
is a n-dimensional array, where n is the number of indirect dimensions.
In case of transient detection, y
is a n+1-dimensional array, where n is the number of indirect dimensions and the last dimension is the direct dimension.
x
is a vector, if y
is one dimensional.
If y
has more than one dimension, x
becomes a cell array with the individual axes.
In case of transient detection, the time axis of the transient is always the last element in x
.
For ESEEM simulations, p
contains the frequency abscissa (in MHz) in p.f
and the spectrum obtained by Fourier transform from the time domain data in p.fd
.
If you don't request any output, saffron
plots the simulated data.
The data can not be plotted for simulations with three or more indirect dimensions with single point detection, or two or more indirect dimensions with transient detection.
The three input arguments to the function are
Sys
: spin system (paramagnetic molecule)Exp
: experimental parametersOpt
: simulation options
Sys
is a spin system structure. Fields available in Sys
include all needed for the construction of the spin Hamiltonian. Line broadening parameters used by other simulation functions (lw
, lwpp
, gStrain
, etc.) are not recognized, except HStrain
. HStrain
is used in excitation window computations (see Exp.ExciteWidth
) when orientation selection is wanted.
saffron
supports any spin system with one electron spin (arbitrary S) and any number of nuclei.
If no orientation selection is required, then even the g tensor (and the microwave frequency) can be omitted. Only the nuclear parameters (and the field) need to be given:
Sys.Nucs = '14N'; Sys.A_ = [0.2 0.3]; Sys.Q = [-1 -1 2]*0.1;
You can provide the transverse and longitudinal relaxation times in the spin system structure:
T1
spidyan
for more details.
Relaxation times for transitions that are not defined (or 0) are automatically set to 1010 microseconds.
T2
spidyan
for more details.
Relaxation times for transitions that are not defined (or 0) are automatically set to 1010 microseconds.
Exp
contains the experimental parameters, most importantly the magnetic field and the pulse sequence.
Depending on what simulation method is used, different fields may be available or need to be provided.
General fields:
Field
Sequence
'2pESEEM'
, '3pESEEM'
, '4pESEEM'
, 'HYSCORE'
,
or 'MimsENDOR'
, see the page on predefined experiments for more.
User-defined sequences have to be given as cell array. For a pulse it is necessary to insert a structure containing the pulse defintion, free evolution events are declared with a scalar that corresponds to their lenght in microsecond:
P90.Type = 'rectangular'; % Define Pulse, see examples for more details P90.tp = 0.032; % Pulse Length in microseconds P90.Flip = pi/2; % Flip angle of the pulse P180.Type = 'rectangular'; % Define Pulse, see examples for more details P180.tp = 0.032; % Pulse Length in microseconds P180.Flip = pi; % Flip angle of the pulse Exp.Sequence = {P90 0.2 P180 0.4}; % Creates a two pulse (echo) sequence, with an inter-pulse % delay of 0.2 microseconds and a final free-evolution period % of 0.4 microsecondsIdeal pulses as they can be used with the fast method are defined by providing only a flip angle:
% Ideal pulses P90.Flip = pi/2; % Flip angle of the pulse P180.Flip = pi; % Flip angle of the pulse Exp.Sequence = {P90 0.2 P180 0.4};The delays are defined to go from the end of one previous element in
Sequence
to the beginning of the next (unlike in Bruker spectrometers).
mwFreq
Required for the thyme method.
All frequencies in the pulse definition (e.g. Pulse.Frequency
) need to be defined relative to it:
Exp.mwFreq = 33.5; Pulse.Frequency = [-250 250]; % 500 MHz sweep
Indirect dimensions:
nPoints
Exp.nPoints = [10 150]; % 10 points along the first indirect dimension, 150 along the secondIf omitted for predefined experiments, default values are assumed, see predefined experiments.
Dim1
, Dim2
,... Dim1
, Dim2
,... provide the fields that are to be changed along the indirect dimensions (field nPoints
).
The first data point always uses the values defined initially in the experiment definition.
All fields that appear in the pulse definition can be changed, e.g:
Exp.Dim1 = {'p2.Flip' pi/8}; % increments the flip angle of the second pulse by pi/8 each stepFor free evolution events only the length can be changed:
Exp.Dim1 = {'d3' -0.1}; % decrements the length of the third delay by 100 ns each stepSeveral parameters can be changed in one dimension:
Exp.Dim1 = {'p2.Flip' pi/8; 'd3' -0.1}; % changes flip angle of pulse and duration of free evolution Exp.Dim1 = {'p2.Flip,p3.Flip' pi/8}; % flip angles of 2nd and 3rd pulse are simultaneously steppedFor experiments that involve one or several moving pulses, the identifier
Position
can be used.
This is only possible for pulses that are not the first or last event in the sequence.
Pulses are allowed to cross, but must not overlap.
Exp.Dim2 = {'p2.Position' 0.1}; % moves the second pulse 100 ns back each step in the 2nd dimensionA list of increments can be used by providing vectors with the precomputed increments. All increments are always applied to the initial value of the field (as defined in the
Exp
) and are not related to each other.
Hence, if the value in the experiment definition is desired as first data point of the indirect dimension, the fist element has to be zero:
Exp.nPoints = 4; % this Exp.Dim1 = {'d2' [0 0.1 0.2 0.3]}; % is equal to: Exp.Dim1 = {'d2' 0.1};Complete freedom is given when it comes to providing the list of increments.
Exp.nPoints = 5; Exp.Dim1 = {'d2' [0 0.1 0.3 0.65 -0.2]}; % increment of the second delayHowever, the program checks that changing lengths of events do not lead to overlapping pulses at any acquisition point.
A special case is the field Par.Frequency
in the pulse definition of a frequency-swept or of a monochromatic pulse that is defined by identical initial and final frequency.
If one value is provided in Exp.DimX
, this is going to be added to both elements in the Par.Frequency
field - the pulse is moved in the frequency domain:
Exp.Dim1 = {'p1.Frequency' 5}; % changes both elements in Par.Frequency by 5 MHz per stepAn equivalent input as the above is the following, where each the increment for each field in
Par.Frequency
is given:
Exp.Dim1 = {'p1.Frequency' [5 5]}; % changes both elements in Par.Frequency by 5 MHz per stepThis syntax can also be used to change the sweep width:
Exp.Dim1 = {'p1.Frequency' [-5 5]}; % increases sweep width by 10 MHz each step Exp.Dim1 = {'p1.Frequency' [0 5]}; % increment only the final frequency of the frequency sweepA list of increments can be provided as well, by using
';'
as separator:
Exp.Dim1 = {'p1.Frequency' [0 0; 10 10; 30 30; 80 80]}; % vector increment for shifting the frequency range of the pulse Exp.Dim1 = {'p1.Frequency' [0 0; -10 0; 0 30; -80 80]}; % vector increment changing the excitation range of the pulse
For other pulse parameters that are defined by a vector (e.g., the order of an asymmetric hyperbolic secant (HS) pulse Pulse.n
or the list of relatives amplitudes of a Gaussian cascade Pulse.A0
), selected elements can be incremented by adding an index to the field name:
Exp.Dim1 = {'p1.A0(3)' 0.1; 'p1.A0(4)' -0.1}; % changes relative amplitudes of the third and fourth pulse in a Gaussian cascade Exp.Dim1 = {'p1.n(2)' 2}; % increases order of the falling flank of a hyperbolic secant pulse by 2 each step % Also possible for 'Frequency' Exp.Dim1 = {'p1.Frequency(2)' 5}; % changes only the final frequency of the pulse Exp.Dim1 = {'p1.Frequency' [0 5]}; % identical to the above and not a list of increments!Adding an indirect dimension also allows for simultaneous phase cycling of two or more pulses (something that can not be achieved through the
Exp.PhaseCycle
structure):
Exp.nPoints = 4; Exp.Dim1 = {'p2.Phase,p3.Phase' pi/4}; % changes the phase of the 2nd and 3rd pulse by pi/4 each stepIn the above example, the output of
spidyan
will contain the individual transients from each phase cycling step and manual merging of the dimensions (with proper detection phase/sign) is required to obtain the phase-cycled signal.
This is an example for a two-dimensional experiment (e.g. for a two-pulse echo) to optimize two pulse parameters:
Exp.nPoints = [20 15]; Exp.Dim1 = {'p1.Frequency,p2.Frequency' [-2.5 2.5]}; % increase excitation band by 5 MHz each step of both pulses Exp.Dim1 = {'p1.tp' 2; 'p2.tp' 1}; % us, step pulse lengths
To simulate single crystals, use
CrystalOrientation
CrystalOrientation
contains the three Euler rotation angles that transform the crystal frame (C) to the lab frame (L). If CrystalOrientation
is empty or not specified, the full powder spectrum is computed.
Exp.CrystalOrientation = [0 0 0]; % single crystal, crystal z axis aligned with B0 Exp.CrystalOrientation = [0 pi/2 0]; % single crystal, crystal z axis perpendicular to B0 Exp.CrystalOrientation = [0 0 0; 0 pi/2 0]; % two crystals Exp.CrystalOrientation = []; % powder
CrystalSymmetry
Exp.CrystalSymmetry = 'P21/c'; % space group symbol Exp.CrystalSymmetry = 11; % space group number (between 1 and 230) Exp.CrystalSymmetry = 'C2h'; % point group, Schönflies notation Exp.CrystalSymmetry = '2/m'; % point group, Hermann-Mauguin notation
When CrystalSymmetry
is given, all symmetry-related sites in the crystal are included in the calculation. If CrystalSymmetry
is not given, space group 1 (P1, point group C1, one site per unit cell) is assumed.
The following fields can only be used with the fast algorithm
ExciteWidth
ExciteWidth
is its FWHM. The default is infinity. To obtain the full excitation with for a given orientation, ExciteWidth
is combined with HStrain
from the spin system structure.
Filter
'+'
stands for electron coherence order +1, '-'
for -1, 'a'
for 0 (alpha), 'b'
for 0 (beta), '0'
for 0 (alpha or beta), 1
for +1 or -1, and '.'
for anything. Examples: '.ab.'
selects the coherence transfer pathways in HYSCORE that leads to alpha/beta cross peaks.
The following fields can only be used with the thyme method:
PhaseCycle
PC2 = [0, +1; pi, -1]; % step 1: pulse phase angle = 0, detection phase = +1 % step 2: pulse phase angle = pi, detection phase = -1 Exp.PhaseCycle = {[0 +1] PC2}; % phase cycle only second pulse; use [0 1] for non-cycled pulses Exp.PhaseCycle = {[] PC2}; % alternative: [] for non-cycled pulsesThe phase cycle is built from the individual phase steps for each pulse in a nested fashion, where each pulse is cycled separately. To step more than one pulse simultaneously, use an additional indirect phase dimension to the experiment (see
Dim
).
mwPolarization
'linear'
or 'circular'
, default is 'linear'
.
If mwPolarization
is 'circular'
, the excitation operator also uses the imaginary part of the waveform.
The default excitation then becomes real
(IQ
) Ŝx + imag
(IQ
) Ŝy.
Exp.mwPolarization = 'circular'; % mwPolarziation set to circular for all pulsesKeep in mind, that using
'circular'
does not allow saffron
to use some of its speed up tricks and can lead to significantly longer simulation times.
DetWindow
DetWindow
controls detection and is given in microseconds:
The zero-time of the detection is taken as the end of the last element in Exp.Sequence
.
It only works with the thyme method.
The detected signal corresponds to ⟨Ŝ-⟩, which means the real part corresponds to ⟨Ŝx⟩ and the imaginary part to ⟨-Ŝy⟩.
To do single point detection, it is sufficient to tell
DetWindow
the time of the detection point.
E.g. to detect at the center of the echo after a two pulse experiment:
tau = 0.5 Exp.Sequence = {pulse90 tau pulse180 tau}; % a two-pulse echo Exp.DetWindow = 0; % detect a single point at the end of the second delay (center of the echo)The detection position can be set to anywhere at the end of the sequence, as long as it does not overlap with a pulse:
Exp.DetWindow = 0.2; % detect a single point 200 ns after the second delay Exp.DetWindow = -0.2; % detect a single point 200 ns before the end of the second delayIn order to detect a transient,
DetWindow
has to be provided with a start and end value:
tau = 0.5 Exp.Sequence = {pulse90 tau pulse180 tau}; % a two-pulse echo Exp.DetWindow = [-0.1 0.1]; % detect a from -100 ns to 100 ns centered around of the end of tauOf course, it is also possible to detect a transient anywhere after the last pulse, as long is it does not overlap with it:
Exp.DetWindow = [0 0.3]; % start detection at the end of the last event and detect for 300 ns Exp.DetWindow = [-0.3 -0.1]; % start detection 300 ns before the end of the last event and detect for 200 nsIf you want to detect an FID or have a fixed experiment length (e.g. 3p ESEEM) you can also write:
Exp.Sequence = {pulse90 0.5 pulse90 0.8 pulse90}; % a three-pulse ESEEM sequence (the last element is a pulse) Exp.DetWindow = 0.5; % detect a single point after 500ns after the last pi/2 pulse (center of echo) Exp.DetWindow = [0.250 0.750] % detect a transient, centered around the echo Exp.DetWindow = [0 0.100] % detect an FID after the last pulse
DetFreq
Exp.DetFreq = 33.5; % shifts detected signal by -33.5 GHzIf no
DetFreq
is provided, Exp.mwFreq
is taken as frequency for down-conversion.
DetPhase
0
.
Bandwidth limiting effects of a resonator on a pulse can be incorporated in two ways:
The resonator profile is defined using the resonator center frequency ResonatorFrequency
and the loaded Q-value ResonatorQL
.
The resonator frequency response is then computed from the ideal transfer function for an RLC series circuit)
Exp.ResonatorFrequency = 33.5; % resonator center frequency in GHz Exp.ResonatorQL = 300; % loaded Q-value
Or the transfer function in combination with the frequency axis are given with FrequencyResponse
.
Exp.FrequencyResponse = [Frequency; TransferFunction] % transfer function and its correspond frequency axis
By setting ResonatorMode
it is possible to compensate for the resonator.
Compensation aims to provide a waveform that excites spin packets in the resonator with constant critical adiabaticity if the originally specified waveform would lead to excitation with constant critical adiabaticity in the absence of a resonator (mainly for chirp and hyperbolic secant pulses).
For more details see pulse and resonator.
ResonatorFrequency
ResonatorQL
FrequencyResponse
Par.FrequencyResponse = [Frequency; TransferFunction]
with the (possibly experimental) resonator transfer function in TransferFunction
and the corresponding frequency axis in Frequency
(in GHz).
A complex transfer function input in Par.FrequencyResponse
is used directly in the bandwidth compensation.
A real transfer function input is assumed to correspond to the magnitude response, and the associated phase response is estimated.
If FrequencyResponse
is given, the alternative input fields ResonatorFrequency
and ResonatorQL
are ignored.
ResonatorMode
'simulate'
or 'compensate'
.
By default the effect of the resonator on the signal is simulated.
If set to 'compensate'
the pulse shape is adapted such that it compensates for the resonator profile by using a uniform critical adiabaticity criterion.
Opt
contains additional simulation parameters.
nKnots
nKnots
gives the number of orientations on quarter of a meridian, i.e. between θ = 0 and θ = 90°. The default value is 31, corresponding to a 3° spacing between orientations. For highly anisotropic spectra, esp. for HYSCORE, the value often has to be increased to 181 (0.5° spacing) or beyond.
SimulationMode
'fast'
for the fast algorithm or thyme
the general approach.
By default saffron
choses fast
if possible.
The following options can only be used in combination with the fast algorithm:
TimeDomain
0
(default) or 1
. Determines whether saffron
generates the spectrum by binning all the peaks in the frequency domain or by evolution of all the complex exponentials in the time domain. The frequency-domain binning method is very fast and is therefore used as the default. However, it involves small rounding of peak positions, which can in some cases lead to imperfect phase interferences and small artifacts in the spectrum. The time-domain method is significantly slower, but accurate.
Expand
ProductRule
EndorMethod
EndorMethod = 0
: This is a sum-over-transitions method that emulates rf pulses by swapping populations of adjacent nuclear spin levels. For one nucleus, it is roughly equivalent to EndorMethod=1
, but faster. For multiple nuclei, it gives wrong results: With ProductRule=1
, cross suppression effects are not modeled, and with ProductRule=0
, peak positions are wrong.
EndorMethod = 1
: This is a sum-over-transitions method that applies bandwidth-limited rf pi pulses (using single-transition operators in the eigenbasis of the nuclear sub-Hamiltonians) on each nuclear transition in turn. It is able to reproduce inter-nuclear cross suppression effects (implicit triple). All rf pulses are modeled as 180 degree pulses on all allowed nuclear transitions, independent of the nature of the nucleus.
EndorMethod = 2
: This is an alternative method. It uses a very slow brute-force rf sweep approach: It loops over every frequency on the rf axis and calculates the echo amplitude using the same rf pulse operators as EndorMethod=1
.
nOffsets
lwOffset
logplot
1
indicates that the HYSCORE spectrum should be plotted with a logarithmic intensity scale. If 0
(the default), a linear scale is used.
Window
ZeroFillFactor
ZeroFillFactor=4
, a 256-point array is padded to 1024 points.
The following option can only be used with the general thyme algorithm:
SimFreq
SimFreq
is not provided, a suitable simulation frame is automatically selected.
No matter the choice of the simulation frame, all other frequencies must still be given in the lab frame - the program handles all required frequency shifts.
For example, for running a Q-band simulation without using the default simulation frame, but one that rotates at 30 GHz:
Exp.mwFreq = 34.4; % Set carrier frequency to 34.4 GHz Pulse.Frequency = [-50 50]; % Pulse with bandwidth of 100 MHz, sweeps from 34.35 to 34.45 GHz Opt.SimFreq = 30; % Changes into a rotating frame at 30 GHzTo force a simulation in the labframe
SimFreq
has to be set to zero:
Opt.SimFreq = 0; % Propagation in the labframeChanging the simulation frame allows for using a larger time step, which in turn can strongly reduce computation time. Keep in mind, that if a time step is provided with
Opt.IntTimeStep
it is not adapted automatically.
To have the program adapt the time step to the simulation frequency, remove the field Opt.IntTimeStep
.
IntTimeStep
Exp.Frequency
).
Accurate results are obtained for an integration time step that corresponds to about 50 data points per oscillaton or 1/50th of the largest time step size to fulfill the Nyquist criterion.
User provided intgration time steps must at least fulfill the Nyquist criterion, or an error is thrown. For integration time steps larger than the recommended ones, a warning is printed to the command line.
The fast algorithm:
For both ESEEM and ENDOR, saffron
can use matrix-based methods similar to those employed by Mims (1972) to compute frequencies and amplitudes of all peaks. With these peaks, a spectrum histogram is constructed, from which the time-domain signal is obtained by inverse Fourier transform.
For the pre-defined sequences, saffron
assumes ideal pulses with standard flip angles (see predefined experiments).
For systems with several nuclei, saffron
by default simulates without using product rules, but can employ them if wanted (see Options).
For high-electron spin systems, all terms in the zero-field splitting, even the nonsecular ones, are taken into account.
To generate the spectrum from the time-domain signal, saffron
performs (1) baseline correction, (2) apodization with a Hamming window, (3) zero-filling, and (4) FFT.
All the theory is described in:
Stefan Stoll, R. David Britt
For the following it is not possible to use the fast algorithm and saffron
will fall back to the general, but much slower, thyme algorithm:
Exp.DetWindow
The thyme algorithm:
For the general method a step-wise time indepent Hamiltonian is assumed, which allows solution of the Liouville-von Neumann equation and evolution of the spin system with propagators.
If no relaxation is requested, the problem is solved in Hilbert space. When relaxation is requested, the simulation is carried out in the Liouville space, which increases matrix sizes (and slows down the computation), but allows to incorporate any relaxation effects directly into the propagation.
The algorithm is based on the now deprecated SPIDYAN
software package.
All the theory is described in:
Stephan Pribitzer, Andrin Doll, Gunnar Jeschke


Transform the whole structure of the organization in a positive and systematic manner
Comprehensive process which helps new start-ups organization to understand the business world.
Organization System Audit is a process to check the internal system followed by the organization.
Help organizations understand where and how to drive changes toward the preferred culture.
Dedicated to help you achieve long-term competitive advantage over your rivals by creating a compelling value proposition
Providing the skills, training and resources that your people need, so that they can work in harmony
Business Automation Process (BAP) is a detailed and comprehensive process which will transform the whole structure of the organization in a positive and systematic manner. It is a process which will metamorphose the work on all parts of the organization.
Check it outWe can guide you with Business Boot Up Process (BBP) , which is a detailed and comprehensive process which helps new start-ups organization to understand the business world. Design and craft of the organizational structure which will include proper and systematic
Check it outWe believe business is like a child. Which requires distinct nourishment and education at each level in the same manner business requires distinct kind of resources, manpower, mechanisms, methodologies, strategies and mindset of entrepreneur to proceed to next level. So, we help The Entrepreneurs to understand the need of their business to proceeds to next level.
About UsAs the Business continues to change, organizations large or small require the input of professional consultants who can help them make key decisions about their operations and profitability. Strategy consultants assist their clients by stepping into complex situations and developing cogent, coherent plans of action that help companies meet their defined goals.
Check it outOur team is always available to help you with any business requirements, feel free to contact us.
Contact Us


These demos show how curvyCorners copes in a more complex styling environment, where units are expressed in font-relative or real-world units.
Note that the tabs above have fluid width. curvyCorners can cope with both fixed-width and fluid boxes.
The contents of this page area will change depending on which tab you click. This is accomplished by a piece of javascript which hides the currently selected page area, sets the tab styles to reflect the new current tab, calls curvyCorners to re-draw the tabs, and finally un-hides the appropriate new page area.
In a little more detail: whenever a box needs to be redrawn (perhaps because its contents will change, or because it needs to be re-styled), this must be indicated by using the special class name "curvyRedraw". Then, if properties are to be changed on one of the redrawable objects, this can be done as follows:
curvyCorners.adjust(DOMobject, 'propertyname', 'newvalue');
Finally, a call to curvyCorners.redraw()
will redraw all the
redrawable objects on the page. In this demo, all the tab boxes, and the
lower main box, are all redrawn when a tab is clicked.
Here's the script for this page:
var selectedTab = 0;
function tabclick(n) {
if (n === selectedTab) return; // nothing to do.
var li = document.getElementById('tab' + selectedTab);
curvyCorners.adjust(li, 'className', ''); // Remove the 'select' style
li = document.getElementById('page' + selectedTab);
li.style.display = 'none'; // hide the currently selected sub-page
li = document.getElementById('page' + n);
li.style.display = 'block'; // show the new sub-page
li = document.getElementById('tab' + n); // get the new (clicked) tab
curvyCorners.adjust(li, 'className', 'select'); // and update its style
curvyCorners.redraw(); // Redraw all elements with className curvyRedraw
selectedTab = n; // store for future reference
}


Home
Weekly Performance Status
Individual Exercise
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TES Online Student Performance Monitoring
Student Information
Agustin, John Mark
Weekly Performance Status
Tunasan Elementary School


{{/* Dirty hack to detect if it's a multi */}}
{{ if eq .TitleBar (.T "Welcome back!") }}
{{ .T "Congratulations for not reading things!" }}
{{ .T "Multiaccounts are not allowed on Shibui!" }}
{{ .T "Your new account has been banned and your main account has been restricted. You can appeal in a month by sending an email to<EMAIL_ADDRESS>You better read the rules next time." | html }}
{{ else }}
{{ .T "Welcome to Shibui!" }}
{{ .T "We're glad to have you here. Your account is now active. You can now play on Shibui! and log in on the website!" | html }}
{{ .T "Here's a few things you might want to check out:" }}
{{ .T "Login" }}{{ .T " - in case you don't know where to start" }}


Dark Matter Deficient Galaxies Produced Via High-velocity Galaxy Collisions In Numerical Simulations
Shin, E. -J., Jung, M., Kwon, G., Kim, J. -H., Lee, J., Jo, Y., & Oh, B. K.
We implement the numerical experiments to determine if the so-called dark matter deficient galaxies (DMDGs) could be produced when two gas-rich, dwarf-sized galaxies collide with a high relative velocity of ∼ 300 kms−1.
Using idealized high-resolution simulations with both mesh-based and particle-based gravito-hydrodynamics codes, we find that DMDGs can form as high-velocity galaxy collisions separate dark matter from the warm disk gas which subsequently is compressed by shock and tidal interaction to form stars.
For details, see our paper.
Click to see the high-resolution image.
An idealized galaxy collision simulation on GADGET-2 demonstrating the “collision-induced” DMDG formation scenario.
The high-velocity (∼ 300kms−1) collision of two gas-rich, dwarf satellite galaxies near a massive host produces multiple DMDGs.
[Movie]
Idealized galaxy collision simulation on the grid-based code ENZO. The most massive DMDG is with Mstar, <5kpc = 1.60 × 108M⊙
[Movie]
Left: the star formation rate (SFR) within 20 kpc from the most massive DMDG born in the ENZO simulation.
Middle: the radial profile of the enclosed mass in the most massive DMDG at t = 870 Myr, showing that little dark matter exists in the DMDG.
Right: 2-dimensional probability distribution function (PDF) of density and temperature for the gas within 20 kpc from the center of the most massive DMDG at t = 420 Myr.
Same as above, but the results from the particle-based code GADGET-2. The most massive DMDG is with Mstar, <5kpc = 2.16 × 108 M⊙.
[Movie]
Same as above, but the results from the particle-based code GADGET-2.


Our library uses third-party vendors to provide digital collections, streaming media content and more. Some of these vendors may collect and share the information you provide to them in order to use their services. You can choose not to use these third-party vendors.
The types of information that could be collected by the vendors includes:
We recommend you review the privacy statements of the vendors below to decide if you agree to their terms.
Our library assesses each vendor we use for multiple data privacy and protection best practices. Each vendor is required to complete a Vendor Security Assessment Questionnaire, and respond to 78 questions in 7 areas:


Ultra-Luxury Maybach GLS SUV Shows Its Face
All will be revealed tomorrow when Maybach’s first-ever SUV makes its world debut.
by Martin BiggWhile the 2019 LA Auto Show is currently underway, Mercedes has chosen to unveil the Maybach GLS at the Auto Guangzhou in China this week. Ahead of its debut on November 21, Mercedes has released a new teaser photo of the swanky SUV, which the automaker describes as "the new face of ultimate luxury."
We get a clear look at the Maybach GLS's gigantic grille with vertical slats, confirming that the design cues will be inspired by the peculiar Vision Maybach Ultimate Luxury Concept that debuted in Beijing last year, which combined design elements from SUVs and sedans. We're expecting the production model to be toned down, though.
The headlights also appear to have different graphics to distinguish the posh SUV from the regular Mercedes GLS. Like Mercedes-Maybach sedans, the crossover is also likely to be offered with two-tone color options to make the exterior look more lavish.
The opulent SUV is also expected to boast an even longer wheelbase than the current GLS, which has a 123.4-inch base, to provide more space for rear passengers. While the exterior won't look dramatically different from the regular Mercedes GLS, the interior will be significantly more luxurious, particularly for rear passengers.
Mercedes hasn't released any teaser photos of the interior, but the Vision Maybach Ultimate Luxury Concept featured two 12.3-inch screens displaying the instruments and infotainment, a wide center console, and even came with a heated tray with teapot and cups.
Powertrain details haven't been confirmed yet, but we're expecting the Maybach GLS to be powered by a twin-turbo V8 that sends over 500 hp to all four wheels. Alternatively, it could adopt a V12 powerplant, which is normally reserved for high-end Maybach models. We'll find out more tomorrow when Maybach's first-ever SUV makes its world debut.


Master control class.
More...
|
| None | __init__ (self) |
| |
| None | AddControl (self, Control control) |
| | Adds a given control to the master control. More...
|
| |
| 'list[Control]' | GetListOfControls (self) |
| | Returns the list of controls in the master control. More...
|
| |
| 'dict[SupportedSensitivityFieldVariableTypes, KratosOA.CollectiveExpression]' | GetPhysicalKratosVariableCollectiveExpressionsMap (self) |
| | Returns map of physical variables and collective expressions from each control. More...
|
| |
| KratosOA.CollectiveExpression | GetEmptyField (self) |
| | Returns empty CollectiveExpression containing empty ContainerExpressions for each control. More...
|
| |
| KratosOA.CollectiveExpression | GetControlField (self) |
| | Returns CollectiveExpression containing control field ContainerExpressions for each control. More...
|
| |
| KratosOA.CollectiveExpression | MapGradient (self, 'dict[SupportedSensitivityFieldVariableTypes, KratosOA.CollectiveExpression]' physical_space_gradient_variable_and_collective_expressions_map) |
| | Maps physical space gradients to a collective expression. More...
|
| |
| 'dict[Control, bool]' | Update (self, KratosOA.CollectiveExpression update_collective_expressions) |
| | Update each control with given collective expression's respective container expression. More...
|
| |
| def | Initialize (self) |
| |
| def | Finalize (self) |
| |
Master control class.
This class is used to simplify working with many controls at once. Following responsibilities are assumed:
1. Maps physical gradients from different domains to one CollectiveExpression (using MapGradient).
2. Updates each respective domain from updates given by one CollectiveExpression (using Update).
There should be only one master control class per optimization problem.
◆ __init__()
| None master_control.MasterControl.__init__ |
( |
|
self | ) |
|
◆ AddControl()
| None master_control.MasterControl.AddControl |
( |
|
self, |
|
|
Control |
control |
|
) |
| |
Adds a given control to the master control.
Args:
control (Control): Control to be added
◆ Finalize()
| def master_control.MasterControl.Finalize |
( |
|
self | ) |
|
◆ GetControlField()
| KratosOA.CollectiveExpression master_control.MasterControl.GetControlField |
( |
|
self | ) |
|
Returns CollectiveExpression containing control field ContainerExpressions for each control.
Returns:
KratosOA.CollectiveExpression: Control field CollectiveExpression
◆ GetEmptyField()
| KratosOA.CollectiveExpression master_control.MasterControl.GetEmptyField |
( |
|
self | ) |
|
Returns empty CollectiveExpression containing empty ContainerExpressions for each control.
Returns:
KratosOA.CollectiveExpression: Empty CollectiveExpression
◆ GetListOfControls()
| 'list[Control]' master_control.MasterControl.GetListOfControls |
( |
|
self | ) |
|
Returns the list of controls in the master control.
Returns:
list[Control]: List of controls.
◆ GetPhysicalKratosVariableCollectiveExpressionsMap()
| 'dict[SupportedSensitivityFieldVariableTypes, KratosOA.CollectiveExpression]' master_control.MasterControl.GetPhysicalKratosVariableCollectiveExpressionsMap |
( |
|
self | ) |
|
Returns map of physical variables and collective expressions from each control.
This returns a map of physical control variables and a collective expressions. The collective expressions will contain
all the container expressions for respective control's control domains for each physical control variable. The repeated container
expressions for the same physical control variable is omitted to avoid double calculations.
Returns:
dict[SupportedSensitivityFieldVariableTypes, KratosOA.CollectiveExpression]: Physical control variable and collective expressions map.
◆ Initialize()
| def master_control.MasterControl.Initialize |
( |
|
self | ) |
|
◆ MapGradient()
| KratosOA.CollectiveExpression master_control.MasterControl.MapGradient |
( |
|
self, |
|
|
'dict[SupportedSensitivityFieldVariableTypes, KratosOA.CollectiveExpression]' |
physical_space_gradient_variable_and_collective_expressions_map |
|
) |
| |
Maps physical space gradients to a collective expression.
This method maps sensitivities w.r.t. physical space variables to control space by using each control. It is done by converting input
map with CollectiveExpression to a map with ContainerExpressions. The following is a pseudo example:
input:
physical_space_gradient_variable_and_collective_expressions_map = {
"YOUND_MODULUS": [ControlDomain1, ControlDomain2],
"DENSITY" : [ControlDomain1],
"VISCOSITY" : [ControlDomain2],
}
control info:
control1: domain = ControlDomain1
physical_vars = YOUND_MODULUS, DENSITY
control2: domain = ControlDomain2
physical_vars = VISCOSITY, DENSITY
from above information, following two maps are created and passed to each control to obtain one ContainerExpression from each control.
control_specific_maps:
for control1: {YOUND_MODULUS: ControlDomain1, DENSITY: ControlDomain1}
for control2: {VISCOSITY: ControlDomain2, DENSITY: A zero valued ControlDomain}
then returned mapped gradients are added to one CollectiveExpression.
In here, the missing gradients for required physical variables will be assumed to be zero.
This converts given map of sensitivities w.r.t. different physical space variables to one sensitivities in control space and aggregated
to one CollectiveExpression.
Args:
physical_space_gradient_variable_and_collective_expressions_map (dict[SupportedSensitivityFieldVariableTypes, KratosOA.CollectiveExpression]): Map of physical space sensitivities.
Returns:
KratosOA.CollectiveExpression: Control space sensitivities.
◆ Update()
| 'dict[Control, bool]' master_control.MasterControl.Update |
( |
|
self, |
|
|
KratosOA.CollectiveExpression |
update_collective_expressions |
|
) |
| |
Update each control with given collective expression's respective container expression.
Args:
update_collective_expressions (KratosOA.CollectiveExpression): Update
Raises:
RuntimeError: If number of controls and number of container expressions mismatch.
Returns:
dict[Control, bool]: A map with control and a boolean whether the update changed anything in that control.
The documentation for this class was generated from the following file:
- /home/runner/work/Documentation/Documentation/master/applications/OptimizationApplication/python_scripts/controls/master_control.py


Override the Azure Active Directory endpoint for the selected Azure environment.
The default endpoint for each environment is:
- Azure - https://login.microsoftonline.com/
- Azure China - https://login.chinacloudapi.cn/
- Azure US Government - https://login-us.microsoftonline.com/


Um, at the start, she was a cook good, her vazhïn work well, and she strong on plow. But after three years, when she was 15, then she become weak. Her voice become a deep. "Borat, Borat." She a receive hair on her chest and her vazhïn hang like sleeve of wizard.
What's up with it, vanilla face? Me and my homie Azamat just parked our slab outside. We're looking for somewhere to post up our black asses for the night. So, uh, bang bang, skeet skeet, nigga. Just a couple of pimps, no hoes.
Wawaweewaa! Ooh lala! Oh well, King in the Castle, King in the Castle, I have a chair! Go do this, go do this, King in the Castle.


Tours
Aug 8
Detroit,MI
Comerica park
Aug 11
Fargo,ND
Fargodome
Aug 13
Missoula,Mt
Washington-grizzly stadium
Aug 16
Commerce city,CO
Dicks sporting goods park
Aug 19
Los Angeles,CA
Banc of California stadium
Aug 22
Portland,Oregon
Moda center at the Rose quarter


curl -H "X-ArchivesSpace-Session: $SESSION" \ 'http://localhost:8089/repositories/1'
It looks like we add the numeric id to the end of the path (i.e. “/1”).


You must complete this whether you are supporting the prisoner’s release or not.
Detail the risk management plan (RMP)
Include:
- Any progressive move, to open or closed conditions, being considered
- ROTL condition considerations
- MAPPA
- Police concerns
- Visor


Humans of Queensland
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|
|
| CBTC (int n) |
| |
|
double | interpol (double x) |
| |
|
double | interpol_D (double x) |
| |
|
CBTC | interpol (vector< double > x) |
| |
|
CBTC | interpol (CBTC &x) |
| |
|
| CBTC (const CBTC &C) |
| |
|
| CBTC (string Filename) |
| |
|
CBTC & | operator= (const CBTC &C) |
| |
|
void | readfile (string) |
| |
|
void | writefile (string Filename) |
| |
|
double | maxC () |
| |
|
double | minC () |
| |
|
void | setnumpoints (int) |
| |
|
CBTC | Log () |
| |
|
CBTC | Log (double min) |
| |
|
double | std () |
| |
|
double | mean () |
| |
|
double | percentile (double x) |
| |
|
double | percentile (double x, int limit) |
| |
|
double | mean (int limit) |
| |
|
double | std (int nlimit) |
| |
|
double | mean_log (int limit) |
| |
|
double | integrate () |
| |
|
double | integrate (double t) |
| |
|
double | integrate (double t1, double t2) |
| |
|
int | lookupt (double t) |
| |
|
double | average () |
| |
|
double | average (double t) |
| |
|
double | slope (double tt) |
| |
|
CBTC | distribution (int n_bins, int limit) |
| |
|
void | append (double x) |
| |
|
void | append (double tt, double xx) |
| |
|
void | append (CBTC &CC) |
| |
|
CBTC & | operator+= (CBTC &v) |
| |
|
CBTC & | operator%= (CBTC &v) |
| |
|
CBTC | make_uniform (double increment) |
| |
|
CBTC | extract (double t1, double t2) |
| |
|
vector< double > | trend () |
| |
|
double | mean_t () |
| |
|
CBTC | add_noise (double std, bool) |
| |
|
void | assign_D () |
| |
|
void | clear () |
| |
|
double | wiggle () |
| |
|
double | wiggle_corr (int _n=10) |
| |
|
bool | wiggle_sl (double tol) |
| |
|
double | maxfabs () |
| |
|
void | knock_out (double t) |
| |
|
double | AutoCor1 (int i=0) |
| |
|
CBTC | getcummulative () |
| |
|
CBTC | Exp () |
| |
|
CBTC | fabs () |
| |
|
| CBTC (QList< QMap< QVariant, QVariant >> data) |
| |
|
| CBTC (double a, double b, const vector< double > &x) |
| |
|
| CBTC (double a, double b, const CBTC &btc) |
| |
|
| CBTC (const vector< double > &t, const vector< double > &C) |
| |
|
| CBTC (vector< double > &, int writeInterval=1) |
| |
|
void | compact (QDataStream &data) const |
| |
|
|
static CBTC | unCompact (QDataStream &data) |
| |
|
|
bool | structured |
| |
|
int | n |
| |
|
vector< double > | t |
| |
|
vector< double > | C |
| |
|
string | name = "" |
| |
|
string | unit = "" |
| |
|
string | defaultUnit = "" |
| |
|
vector< string > | unitsList |
| |
|
vector< double > | D |
| |
|
double | max_fabs |
| |
|
bool | file_not_found = false |
| |
|
bool | error = false |
| |
Definition at line 20 of file BTC.h.
The documentation for this class was generated from the following files:


Before Change
output_b_l_t, 2) == 0)] = self._num_timesteps
guesses_b = np.argmin(first_spiketimes_b_l, 1)
else:
guesses_b = np.argmax(np.sum(output_b_l_t, 2), 1)
echo("{:.2%}_".format(np.mean(kwargs[str("truth_b")] ==
guesses_b)))
if self.config.getboolean("conversion", "use_isi_code") and \
all(np.count_nonzero(output_b_l_t, (1, 2)) >= self.top_k):
print("Finished early.")
break
if self.config.getboolean("conversion", "use_isi_code"):
for b in range(self.batch_size):
for l in range(self.num_classes):
spike = 0
for t in range(self._num_timesteps):
if output_b_l_t[b, l, t] != 0:
spike = 1
output_b_l_t[b, l, t] = spike
return np.cumsum(np.asarray(output_b_l_t, bool), 2)
def reset(self, sample_idx):
After Change
else:
spike_sums_b_l = np.sum(output_b_l_t, 2)
undecided_b = np.sum(spike_sums_b_l, 1) == 0
guesses_b = np.argmax(spike_sums_b_l, 1)
none_class_b = -1 * np.ones(self.batch_size)
clean_guesses_b = np.where(undecided_b, none_class_b, guesses_b)
echo("{:.2%}_".format(np.mean(kwargs[str("truth_b")] ==
clean_guesses_b)))


Zach's Homepage
Home
Individual Assignments
Group Assignments
Contact
Cell Phone:<PHONE_NUMBER>
Office Phone:<PHONE_NUMBER>
BYUI Email<EMAIL_ADDRESS>Personal Email: zachbrundage6@gmail.com


To use this feature, first set up your build to run tests, then specify the path to Cucumber JSON files in the Ant glob syntax, such as **/build/test-reports/*.json. Be sure not to include any non-report files into this pattern. You can specify only one file pattern.
Once there are a few builds running with test results, you should start seeing something like this.


sheherazade
Visit Sheherazade at any time day or night from the sidewalks of West Magnolia Avenue in the garage behind 1401 South 3rd Street, Louisville KY, 40208.
Sheherazade is a window gallery within an Old Louisville garage that exhibits large-scale works of art and site-specific installations and is only viewable from the outside. Guests may only enter the space during a one-time-only Open House for each site-specific installation. Installations will rotate every six weeks.
Sheherazade is an experiment by Julie Leidner with help from many people, with the intent:
-
To provide an alternative, fluid space for individual artists to share their non-traditional and site-specific projects with the public
-
To interrupt the boundaries of public and private space in a way that makes outsiders feel like insiders, insiders feel like outsiders, and that causes personal introspection
-
To coexist with, and to engage in cultural exchange with, the neighborhood of Old Louisville
-
To prioritize risk, abjection, and subversion over safety, complacency, and politeness in art
-
To prioritize art that raises questions and challenges the status quo
-
To amplify voices of artists who may not have already had significant exposure in the city/region
-
To exhibit emerging artists and artists who may be marginalized due to their race, ethnicity, sexual orientation, gender expression, or economic status.
-
To be and prioritize art that is primarily non-commercial, and not profit-driven


Alongside HTML and CSS, JavaScript is one of the three core technologies of World Wide Web content production. It is used to make webpages interactive and provide online programs, including video games.
Programming languages typically support a set of operators: constructs which behave generally like functions, but which differ syntactically or semantically from usual functions. Common simple examples include arithmetic (addition with +), comparison (with >), and logical operations (such as AND or &&). More involved examples include assignment (usually = or :=), field access in a record or object (usually .), and the scope resolution operator (often ::). Languages usually define a set of built-in operators, and in some cases allow user-defined operators.
In computer programming, a variable or scalar is a storage location (identified by a memory address) paired with an associated symbolic name (an identifier), which contains some known or unknown quantity of information referred to as a value.
The variable name is the usual way to reference the stored value, in addition to referring to the variable itself, depending on the context. This separation of name and content allows the name to be used independently of the exact information it represents. The identifier in computer source code can be bound to a value during run time, and the value of the variable may thus change during the course of program execution.
A method in object-oriented programming (OOP) is a procedure associated with a message and an object. An object is mostly made up of data and behavior, which form the interface that an object presents to the outside world. Data is represented as properties of the object and behavior as methods. For example, a Window object would have methods such as open and close, while its state (whether it is opened or closed) would be a property.
Definition of: argument. argument. In programming, a value that is passed between programs, subroutines or functions. Arguments are independent items, or variables, that contain data or codes. When an argument is used to customize a program for a user, it is typically called a "parameter."
In computer programming, a parameter (often called formal parameter[1] or formal argument) is a special kind of variable, used in a subroutine to refer to one of the pieces of data provided as input to the subroutine.[a] These pieces of data are the values[2][3][4] of the arguments (often called actual arguments or actual parameters) with which the subroutine is going to be called/invoked. An ordered list of parameters is usually included in the definition of a subroutine, so that, each time the subroutine is called, its arguments for that call are evaluated, and the resulting values can be assigned to the corresponding parameters.
In computer programming, a return statement causes execution to leave the current subroutine and resume at the point in the code immediately after where the subroutine was called, known as its return address. The return address is saved, usually on the process's call stack, as part of the operation of making the subroutine call. Return statements in many languages allow a function to specify a return value to be passed back to the code that called the function.
Method chaining, also known as named parameter idiom, is a common syntax for invoking multiple method calls in object-oriented programming languages. Each method returns an object, allowing the calls to be chained together in a single statement without requiring variables to store the intermediate results.[1] Local variable declarations are syntactic sugar because of the difficulty humans have with deeply nested method calls.[2][3] A method chain is also known as a train wreck due to the increase in the number of methods that come one after another in the same line that occurs as more methods are chained together[4] even though line breaks are often added between methods.
In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally understood as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. A string may also denote more general arrays or other sequence (or list) data types and structures.
In computer science, the Boolean data type is a data type, having two values (usually denoted true and false), intended to represent the truth values of logic and Boolean algebra. It is named after George Boole, who first defined an algebraic system of logic in the mid 19th century. The Boolean data type is primarily associated with conditional statements, which allow different actions and change control flow depending on whether a programmer-specified Boolean condition evaluates to true or false. It is a special case of a more general logical data type; logic need not always be Boolean.
In computer programming, undefined behavior (UB) is the result of executing computer code whose behavior is not prescribed by the language specification to which the code adheres, for the current state of the program. This happens when the translator of the source code makes certain assumptions, but these assumptions are not satisfied during execution.
jQuery is a concise and fast JavaScript library that can be used to simplify event handling, HTML document traversing, Ajax interactions and animation for speedy website development. jQuery simplifies the HTML's client-side scripting, thus simplifying Web 2.0 applications development.


internal var loadChunkSize: Int
The amount of identifier load results to fit into each LOAD_TRACK_CHUNK event (1+).
LOAD_TRACK_CHUNK
loadChunkSize - The amount of identifier load results to fit into each LOAD_TRACK_CHUNK event (1+).
loadChunkSize


When defining expectations upon your mock objects, jMock forces you to be explicit about the argument values that will be passed to the expected methods. Expected argument values are defined using "constraints". jMock provides a set of constraints that are suitable for almost all tests. These constraints can be combined to tighten or loosen the specification if necessary. The set of constraints is extensible so you can write new constraints to cover unusual testing scenarios.
Constraints are specified by calling "syntactic sugar" methods of the MockObjectTestClass. The following constraints are defined by jMock:
The most commonly used constraint is eq
, which specifies
that the received argument must be equal to a given value. The code below,
for example, specifies that the method "m" must be called with one
argument of value 1.
mock.expects(once()).method("m").with( eq(1) );
The eq
constraint uses the equals
method of
the expected value to compare the expected and actual values for equality.
Null values are checked beforehand, so it is safe to specify
eq(null)
or apply the constraint to a null actual value. The
eq
constraint is overridden for all primitive types;
primitive values are boxed into objects that are then compared using the
equals
method. Arrays are treated as a special case: two
arrays are considered equal by eq
if they are the same size
and all their elements are considered equal by eq
.
An overloaded version of the eq
constraint specifies
floating point values as equal to another value with some margin of error
to account for rounding error. The following code specifies that the
method "m" will be called with one argument of value 1 plus or minus
0.002.
mock.expects(once()).method("m").with( eq(1, 0.002) );
The same
constraint specifies that the actual value of the
argument must be the same object as the expected value. This is a tighter
constraint than eq
, but is usually what you want for
arguments that pass references to behavioural objects. The following code
specifies that method "m" will be called with one argument that refers to
the same object as expected.
Object expected = new Object(); mock.expects(once()).method("m").with( same(expected) );
As a rule of thumb, use eq
for value objects and
same
for behavioural objects.
The isA
constraint specifies that the actual argument must
be an instance of the given type. The following code specifies that method
"m" must be called with an argument that is an ActionEvent.
mock.expects(once()).method("m").with( isA(ActionEvent.class) );
The stringContains
constraint specifies that the expected
argument must be a string that contains the given substring. The following
code specifies that method "m" must be called with an argument that is a
string containing the text "hello".
mock.expects(once()).method("m").with( stringContains("hello") );
The stringContains
constraint is especially useful for
testing string contents but isolating tests from the exact details of
punctuation and formatting. For example, the code above would accept any
of the following argument values: "hello world"; "hello, world"; "hello!";
and so on.
The constraints NULL
and NOT_NULL
are specify
that an argument is null or is not null, respectively. These are
constants, not methods. The following code specifies that method "m" must
be called with two arguments, the first must be null and the second must
not be null.
mock.expects(once()).method("m").with( NULL, NOT_NULL );
The ANYTHING
constraint specifies that any value is
allowed. This is useful for ignoring arguments that are not germane to the
scenario being tested. Judicious use of the ANYTHING
constraint can ensure that your tests are flexible and do not require
constant maintenance when tested code changes. The following code
specifies that the method "m" must be called with two arguments, the first
of which is equal to 1 and the second of which is ignored in this
test.
mock.expects(once()).method("m").with( eq(1), ANYTHING );
Constraints can be composed to create a tighter or looser specification. Composite constraints are themselves constraints and can therefore be further composed.
The not
constraint specifies that the actual argument must
not meet a given constraint. The following code specifies that
the method "m" must be called with an argument that is not equal to 1.
mock.expects(once()).method("m").with( not(eq(1)) );
The and
constraint specifies that the actual argument must
meet both of two constraints given as arguments. The following
code specifies that the method "m" must be called with a string that
contains the text "hello" and the text "world".
mock.expects(once()).method("m").with( and(stringContains("hello"), stringContains("world")) );
The or
constraint specifies that the actual argument must
meet either of two constraints given as arguments. The following
code specifies that the method "m" must be called with a string that
contains the text "hello" or the text "howdy".
mock.expects(once()).method("m").with( or(stringContains("hello"), stringContains("howdy")) );
That covers all of the constraints provided by jMock. Most of your tests will only need the basic constraints. Sometimes you may need to define constraints by composing existing constraints. Occasionally, however, you might find that no existing constraint exactly meets the need of your test. In these cases, you will have to extend jMock's set of constraints by writing a custom constraint.


Hi all,
A few of us on the midnite solar forum have been working on the above project. Initially it was a way of monitoring midnite off grid charge controllers, but its now growing into a project more akin to yours.
First of all, hats off to everything youve done, its fantastic. You are much further on than we are. Reading here, our projects while applied to grid v off grid have approximately the same goals, so i guess im hoping that we can cooperate in some way. We certainly dont want to duplicate things that you are doing, thats pointless. However i cant immediately see, just yet, how your building blocks will work with our needs.
The two main differences between our projects is DC v AC and the fact that with off grid an internet connection cant be assumed. A typical off grid installation and its monitoring needs are these.
1. PV array in the range 1-3kWp, with occasional support from wind and microhydro.
2. one or two 80 amp charge controllers charging lead acid banks in the 10-30kWh range.
3. 2-6kW off grid inverter supplying AC needs.
The charge controllers and inverters both tend to produce adequate monitoring data, usually by ethernet or serial, but using various semi-proprietary protocols, modbus, zanbus etc. And basically this is what we are doing to date, collecting this data and storing it on low power local servers.
As well as battery voltage and temp, and charge controller input and output data, the midnite family now also includes a battery current sensor, which allows us to monitor DC loads and battery state of charge (SOC). It is connected via 1 wire to a 500A 50mV deltec shunt. So this data is good and nothing much more is required. However where we became interested in your sensor node concept is the following:
- the desire to add reference solar insolation data, to better know what surplus power exists, to inform opportunity loads. The 'waste not' implementations in the charge controller are fairly blunt instruments, and we are hoping to get better data. Load diversion is typically to domestic hot water, occasionally well pumps, HVAC and such. This is done using three methods, battery voltage DC, PV voltage DC, and AC. All three have pros and cons, and we need support for each. Our plan for this is a small PV in the 2W range on the same plane as the array, and used as a reference panel (having the same glass and PV material as the main array). Basically measuring its Isc with an ADC, and a wireless connection to the monitoring system.
-This method is superior than theoretical models of insolation, (which we are also working on using sandia's PV-LIB, however collecting back of panel temperature, humidity, windspeed, and air pressure would allow us to monitor actual PV performance against the sandia models, which is a way of checking for system malfunctions or design issues. Having gone that far, we may as well get rainfall, to complete a full weather dataset.
-we also have a subproject underway which will monitor the cell balance, measuring the voltage of each cell. This uses a cascading set of PIC controllers each measuring 3 cells.
-the flexibility for each installation to define and add their own unique sensing requirements.
In terms of hardware we like the beaglebone and cubieboard. These baords have just enough resources to run a full webserver implementation in order to serve monitoring data to LAN connected computers and mobile devices. This is our primary and preferred way of presenting data. A cheap android tablet serves for those that want something like your emonglcd.
Learning from what youve done, it appears that we need an arduino/atmega communications board to talk to the remote sensors, which is connected to the ARM board vie uart/i2c/spi. It should also allow direct connection from sensors in the electrical room. Then a flexible radio connected sensor node design, with a variety of plug in sensors, using some kind of standardized port connector.
The beaglebone in particular does have fairly good connectivity options, several uarts, 12bit ADCs etc, but we think in best to outsource the 'realtime' activitys to another board, as the ARM board has its work cut out talking to the RE gear, and rendering webpages.
Thats about it. Wed be interested in any pointers to material you might already have, or any ideas at all how we might work together. We do have a guy cabable of designing and building PCBs, and my own focus is on the web application.
The project page is http://code.google.com/p/theblackboxproject/
As a guide my own off grid system is documented here http://zoneblue.org/cms/page.php?view=off-grid-solar
Re: The Blackbox Project
Hello Zoneblue, looks like a nice project, good work and thanks for sharing! Yes we are mainly measuring AC electricity here but I did do some DC monitoring a couple of years back of a wind turbine which was interesting. As a fellow PHP developer you might be interested in looking at emoncms which is one of the main things I work on. The blog is usually a good place to look for a development log:
http://openenergymonitor.blogspot.co.uk/search/label/emoncms
there's also a lot of resources in building blocks that may interest you more on the hardware side of things: http://openenergymonitor.org/emon/buildingblocks
I like the live PV + battery power flow diagram display that your developing, looks good!


Detect available browser features
- ES6
- CSS.registerProperty
- Promise.allSettled
- Web Components v0
- Web Components v1
- IntersectionObserver
- fetch()
- Service worker (HTTPS only, may fail)
- Local Storage (may get declined)
- requestAnimationFrame
- requestIdleCallback
- visibilityState (might not be accurate)
- CSS Font Loading API
- Network Information API (might not be accurate)
- WebXR device API
- WebVR 1.1 API
- WebGL
- WebSocket


3D Artwork is easier than it looks. Grab a canvas and pour different colors of paint on the canvas for the background. Mix the paint around to get the style of your choice. Then search up some origami projects online and complete them. Then tape the origami to the canvas. Ta-da
40-50mins


We are focused on research and development in mobile and internet technology for better business and life.
FinTech advisor More...
Apilia is a supplier of high quality software and outsourcing services for business. More...
Nukomeet is an interdisciplinary team that helps you build mobile and web applications. More...


A gym environment to enable training on any of the valid robots, real or simulated, for the task of pushing.
More...
|
| def | __init__ (self, control_rate_s, finger_type, enable_visualization) |
| | Intializes the constituents of the pushing environment. More...
|
| |
| def | step (self, action) |
| | The env step method. More...
|
| |
| def | reset (self) |
| | Episode reset.  More...
|
| |
| def | _get_state (self, observation, action, log_observation=False) |
| | Get the current observation from the env for the agent. More...
|
| |
A gym environment to enable training on any of the valid robots, real or simulated, for the task of pushing.
◆ __init__()
| def trifinger_simulation.gym_wrapper.envs.trifinger_push.TriFingerPush.__init__ |
( |
|
self, |
|
|
|
control_rate_s, |
|
|
|
finger_type, |
|
|
|
enable_visualization |
|
) |
| |
Intializes the constituents of the pushing environment.
Constructor sets up the finger robot depending on the finger type, sets up the observation and action spaces, smoothing for reducing jitter on the robot, and provides for a way to synchronize robots being trained independently.
- Parameters
-
| control_rate_s | the rate (in seconds) at which step method of the env will run. The actual robot controller may run at a higher rate, so this is used to compute the number of robot control updates per environment step. |
| finger_type | Name of the finger type. In order to get a list of the valid finger types, call :meth:.finger_types_data.get_valid_finger_types |
| enable_visualization | if the simulation env is to be |
| visualized | |
◆ _compute_reward()
| def trifinger_simulation.gym_wrapper.envs.trifinger_push.TriFingerPush._compute_reward |
( |
|
self, |
|
|
|
object_position, |
|
|
|
goal |
|
) |
| |
|
private |
The reward function of the environment.
- Parameters
-
| observation | the observation at the current step |
| goal | the desired goal for the episode |
- Returns
- the reward, and the done signal
◆ _get_state()
| def trifinger_simulation.gym_wrapper.envs.trifinger_push.TriFingerPush._get_state |
( |
|
self, |
|
|
|
observation, |
|
|
|
action, |
|
|
|
log_observation = False |
|
) |
| |
|
private |
Get the current observation from the env for the agent.
- Parameters
-
| log_observation | specify whether you want to log the observation |
- Returns
-
observation comprising of the observations corresponding to the key values in the observation_keys
◆ reset()
| def trifinger_simulation.gym_wrapper.envs.trifinger_push.TriFingerPush.reset |
( |
|
self | ) |
|
Episode reset.
- Returns
- the scaled to [-1;1] observation from the env after the reset
◆ step()
| def trifinger_simulation.gym_wrapper.envs.trifinger_push.TriFingerPush.step |
( |
|
self, |
|
|
|
action |
|
) |
| |
The env step method.
- Parameters
-
| action | the joint positions that have to be achieved |
- Returns
- the observation scaled to lie between [-1;1], the reward, the done signal, and info on if the agent was successful at the current step
The documentation for this class was generated from the following file:
- python/trifinger_simulation/gym_wrapper/envs/trifinger_push.py


21/8/2018: We are in the process of transferring the collection to the University of Turin servers. Please write to basile+[at]+di+[dot]+unito+[dot]+it to request data from TWITA.
Sentix - a lexicon for Sentiment Analysis of Italian (503KB gzipped text file)
Sentix is distributed under the Creative Commons Attribution-ShareAlike licence (CC-BY-SA).
The information contained in Sentix is built upon other resources, in particular:
polypathy_en - List of English lemmas ordered by their polypathy score


Note
Archon depends on Web3 1.0. This version of web3
is still in Beta so usage may change unexpectedly and/or bugs may arise until a stable version of Web3 1.0 is released.
archon.arbitrable¶
This package provides the functionality to interact with Arbitrable
smart contracts. An
arbitrable contract creates a dispute and enforces the ruling made by an arbitrator.
Arbitrable contracts are also responsible for Evidence
and MetaEvidence
.
Tip
See ERC 792. for more information on Arbitrable
contracts.
getEvidence()¶
archon.arbitrable.getEvidence(contractAddress, arbitratorAddress, evidenceGroupID, options={});
Fetch and validate evidence via the Arbitrable smart contract Evidence
event logs.
For a particular dispute.
Tip
See ERC 1497. for the EvidenceJSON
spec and information on how to correctly use the events with hashes
Parameters¶
contractAddress
-String
: The address of the arbitrable contract.arbitratorAddress
-String
: The address of the arbitrator contract.evidenceGroupID
-Number
: The evidence group ID.options
-Object
: Optional parameters.
The options parameter can include:
| Key | Type | Description |
|---|---|---|
| strictHashes | bool | If true, an error will throw if hash validations fail. |
| customHashFn | fn | Hashing function that should be used to validate the hashes. |
| fromBlock | int | The block where we start searching for event logs. |
| toBlock | int | The block where we will stop searching for event logs. |
| filters | object | Additional filters for event logs. |
Tip
Use getDispute to get the evidenceGroupID for a dispute.
Returns¶
Promise.<Object[]>
- A Promise resolving to an array of objects containing the EvidenceJSON
,
the validity of the JSON
and evidence file, and submission information.
{
evidenceJSONValid: <Bool>, // validity of evidenceJSON
fileValid: <Bool>, // validity of evidence found at evidenceJSON.fileURI
evidenceJSON: <Object>,
submittedBy: <String>, // from event log
submittedAt: <Number>, // epoch timestamp in seconds
blockNumber: <Number>,
transactionHash: <String> // The hash of the submission transaction
}
Example¶
archon.arbitrable.getEvidence(
"0x91697c78d48e9c83b71727ddd41ccdc95bb2f012", // arbitrable contract address
"0x211f01e59b425253c0a0e9a7bf612605b42ce82c", // arbitrator contract address
1, // dispute ID
{
strictHashes: true
}
).then(data => {
console.log(data)
})
> [{
evidenceJSONValid: true,
fileValid: true,
evidenceJSON: {"fileURI": "/ipfs/...", ...},
submittedBy: "0x8254175f6a6E0FE1f63e0eeb0ae487cCf3950BFb",
submittedAt:<PHONE_NUMBER>,
blockNumber: 6503576,
transactionHash: "0xe91603b9d4bf506972820f499bf221cdfb48cbfd426125af5ab647dca39a3f4e"
},
{
evidenceJSONValid: true,
fileValid: true,
evidenceJSON: {"fileURI": "/ipfs/...", ...},
submittedBy: "0xc55a13e36d93371a5b036a21d913a31CD2804ba4",
submittedAt:<PHONE_NUMBER>,
blockNumber: 6503570,
transactionHash: "0x340fdc6e32ef24eb14f9ccbd2ec614a8d0c7121e8d53f574529008f468481990"
}]
getMetaEvidence()¶
archon.arbitrable.getMetaEvidence(contractAddress, metaEvidenceID, options={});
Fetch and validate MetaEvidence via the Arbitrable smart contract MetaEvidence
event logs.
There are up to 3 hashes validated. The hash of the MetaEvidenceJSON
, the hash of the
primary document file specified at MetaEvidenceJSON.fileURI
, and the hash of the
external interface used to render the evidence found at MetaEvidenceJSON.evidenceDisplayInterfaceURL
.
Tip
See ERC 1497. for the MetaEvidenceJSON
spec and information on how to correctly use the events with hashes
Parameters¶
contractAddress
-String
: The address of the arbitrable contract.metaEvidenceID
-Number|String
: The unique identifier of the MetaEvidence event log.options
-Object
: Optional parameters.
The options parameter can include:
| Key | Type | Description |
|---|---|---|
| strictHashes | bool | If true, an error will throw if hash validations fail. |
| customHashFn | fn | Hashing function that should be used to validate the hashes. |
| fromBlock | int | The block where we start searching for event logs. |
| toBlock | int | The block where we will stop searching for event logs. |
| filters | object | Additional filters for event logs. |
| scriptParameters | object | Parameters to pass to sandboxed script. |
Tip
Use getDispute to get the metaEvidenceID for a dispute.
Note
If more than one MetaEvidence exists for the given metaEvidenceID, only the first submitted metaEvidence will be returned.
Tip
See MetaEvidece Scripts for detailed description on creating scripts compatible with Archon.
Returns¶
Promise.<Object>
- Promise resolving to an object containing the MetaEvidenceJSON
and the validity of the the hashes
{
metaEvidenceValid: <Bool>,
fileValid: <Bool>,
interfaceValid: <Bool>,
metaEvidenceJSON: <Object>,
submittedAt: <Number>,
blockNumber: <Number>,
transactionHash: <String>
}
Example¶
archon.arbitrable.getMetaEvidence(
'0x91697c78d48e9c83b71727ddd41ccdc95bb2f012',
1,
{
strictHashes: false
}
).then(data => {
console.log(data)
})
> {
metaEvidenceValid: true,
fileValid: true,
interfaceValid: false,
metaEvidenceJSON: {"fileURI": "/ipfs/...", ...},
submittedAt:<PHONE_NUMBER>,
blockNumber: 6503570,
transactionHash: "0x340fdc6e32ef24eb14f9ccbd2ec614a8d0c7121e8d53f574529008f468481990"
}
getRuling()¶
archon.arbitrable.getRuling(contractAddress, arbitratorAddress, disputeID, options={});
Fetch data from the Ruling
event log.
Parameters¶
contractAddress
-String
: The address of the arbitrable contract.arbitratorAddress
-String
: The address of the arbitrator contract.disputeID
-Number
: The unique identifier of the dispute.options
-Object
: Optional parameters.
The options parameter can include:
| Key | Type | Description |
|---|---|---|
| fromBlock | int | The block where we start searching for event logs. |
| toBlock | int | The block where we will stop searching for event logs. |
| filters | object | Additional filters for event logs. |
Returns¶
Promise.<Object>
- A Promise resolving to data from the ruling event log, including the final ruling.
{
ruling: <String>, // The ruling returned as a number string
ruledAt: <Number>, // epoch timestamp in seconds
blockNumber: <Number>,
transactionHash: <String> // The hash of the submission transaction
}
Example¶
archon.arbitrable.getRuling(
'0x91697c78d48e9c83b71727ddd41ccdc95bb2f012',
'0x211f01e59b425253c0a0e9a7bf612605b42ce82c',
1
).then(data => {
console.log(data)
})
> {
ruling: "1",
ruledAt:<PHONE_NUMBER>,
blockNumber: 6503570,
transactionHash: "0x340fdc6e32ef24eb14f9ccbd2ec614a8d0c7121e8d53f574529008f468481990"
}
getDispute()¶
archon.arbitrable.getDispute(contractAddress, arbitratorAddress, disputeID, options={});
Fetch the dispute creation event. This event is used to link metaEvidenceID
to a dispute.
Parameters¶
contractAddress
-String
: The address of the arbitrable contract.arbitratorAddress
-String
: The address of the arbitrator contract.disputeID
-Number
: The unique identifier of the dispute.options
-Object
: Optional parameters.
The options parameter can include:
| Key | Type | Description |
|---|---|---|
| fromBlock | int | The block where we start searching for event logs. |
| toBlock | int | The block where we will stop searching for event logs. |
| filters | object | Additional filters for event logs. |
Returns¶
Promise.<Object>
- A Promise resolving to data from the dispute event log including the metaEvidenceID
{
metaEvidenceID: <String>,
evidenceGroupID: <String>,
createdAt: <Number>,
blockNumber: <Number>,
transactionHash: <String>
}
Example¶
archon.arbitrable.getDispute(
'0x91697c78d48e9c83b71727ddd41ccdc95bb2f012',
'0x211f01e59b425253c0a0e9a7bf612605b42ce82c',
1
).then(data => {
console.log(data)
})
> {
metaEvidenceID: "0",
evidenceGroupID: "3",
createdAt:<PHONE_NUMBER>,
blockNumber: 6503570,
transactionHash: "0x340fdc6e32ef24eb14f9ccbd2ec614a8d0c7121e8d53f574529008f468481990"
}


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|
CONFEDERATE NEWSPAPERS
I am sure I read in a good source that no Southern newspaper was suspended by the Confederate government during the war. But I can't remember where, so I don't say so on the Web site. I, too, find myself wondering at that, and it's probably because I have that inherent, illogical Northern liberal tendency to instinctively disbelieve a nation governed by slaveowners could behave virtuously about civil liberties. But I can find no instances of suspensions. Military authorities in Virginia only threatened to shut down the "Richmond Whig." They never did so. The cantankerous Unionist editor of the "Knoxville Whig" was run out of Tennessee, but that was done by state authorities. The Unionist "Raleigh Standard" lost its state printing contract, but that was a time-honored patronage custom on both sides of the Mason-Dixon line. Even the mobs seem to have left the newspapers unmolested. The only press-related lynching I'm aware of was of a St. Louis distributor caught in Arkansas selling Horace Greely's newspaper. President Davis must have been sorely tempted to do what was done by Lincoln. He got hammered from both sides. William W. Holden's "Raleigh Standard" worked tirelessly through the war (except for a brief spell when Holden himself suspended it) to whip up political discontent and submissionist sentiment in North Carolina. On the other side the fire-eating "Richmond Examiner" and Robert B. Rhett's "Charleston Mercury" ceaselessly execrated the CSA leadership as "pimps and parasites" (the radicals were furious that their revolution had been stolen from them at its birth by more moderate men). The Southern newspapers faced other hardships, of course, and the whole culture of newspapering down there was different to begin with. Number comparisons are probably not worth much because, by one estimate, of the 800 newspapers published in the South when the war began, half or more had gone out of business by early 1862, starved for ink, paper, and cash. There is a famous (in journalism history, anyhow) instance of a Vicksburg newspaper that was printing its single-sheet editions on unused wallpaper at the time the city fell to Grant. Surviving numbers of it are worth thousands of dollars, by the way, if you should ever happen across one. I suppose it can be argued that the Southern editors realized they had an economic interest in the success of the bid for independence. It can hardly be said that they were cowed into supporting the war or the government, given the highly visible example of Holden and others. It seems the editors really did tend to rally to the cause. George Rable, in The Confederate Nation, wrote: "Although hardly exempt from provincialism and selfishness, the Southern press generally sustained the president and worked to build a national consciousness." [He cites J. Cutler Andrews' "The South Reports the Civil War"]. He quotes a Georgia editor who wrote, "The man who weakens his [Davis's] influence with the people strikes at the cause in which we are engaged and is a deadly enemy of every man in the Confederacy." On controversial questions, like conscription, editors often criticized the proposals, railed at them, even, but dropped their objections once the policy was in place, because then, as one Arkansas editor maintained, it was "unpatriotic to offer any captious opposition to its immediate execution."
|
| ©2002Douglas Harper | "When misunderstanding serves others as an advantage, one is helpless to make oneself understood." -Lionel Trilling |


| limit | : how many users you want to get |
|---|---|
| offset | : how many users you want to skip |
| request | https://pubflare.ovh/school/blog/api/latest/user?limit=2&offset=0 |
| response | {"status":"OK","lenght":2,"users":["abcd","efgh"],"version":"v1"} |
| id | : the id of the user you want to get |
|---|
| request | https://pubflare.ovh/school/blog/api/latest/user/abcd |
| response | {"status":"OK","user":{"id":"abcd","username":"test","adminLvL":0},"version":"v1"} |
| id | : the id of the user you want to get the comments from |
|---|
| request | https://pubflare.ovh/school/blog/api/latest/user/abcd/comments |
| response | {"status":"OK","lenght":2,"comments":["htje","gesge"],"version":"v1"} |
| id | : the id of the user you want to get the posts from |
|---|
| request | https://pubflare.ovh/school/blog/api/latest/user/abcd/posts |
| response | {"status":"OK","lenght":2,"posts":["fesfe","gregr"],"version":"v1"} |
| username | : the username of the user to create (at least 3 characters) |
|---|---|
| password | : the password of the user to create (at least 6 characters, different than the username) |
| request | url | https://pubflare.ovh/school/blog/api/latest/user |
| body | {"username":"test","password":"thisIsAPassword"} | |
| response | {"status":"OK","token":{"id":"abcd","b":157952,"c":"gesg","d":"fesf"},"user":{"id":"abcd","username":"test","adminLvL":0},"version":"v1"} |
| id | : the id of the user to change the adminLvL (must be in the url) |
|---|---|
| token | : your token (you must have an adminLvL of 2 in order to execute this comment), (must be in a json format inside the request body) |
| adminLvL | : the new adminLvL (must be either 0, 1 or 2), (must be in a json format inside the request body) |
| request | url | https://pubflare.ovh/school/blog/api/latest/user/abcd |
| body | {"token":{"id":"abcd","b":157952,"c":"gesg","d":"fesf"},"adminLvL":2} | |
| response | {"status":"OK","version":"v1"} |
| request | https://pubflare.ovh/school/blog/api/latest/category |
| response | {"status":"OK","lenght":2,"categories":["aecd","eegh"],"version":"v1"} |
| id | : the id of the category you want to get |
|---|
| request | https://pubflare.ovh/school/blog/api/latest/category/aecd |
| response | {"status":"OK","user":{"id":"aecd","name":"test","description":"this is a test category"},"version":"v1"} |
| id | : the id of the category you want to get the posts from |
|---|
| request | https://pubflare.ovh/school/blog/api/latest/category/aecd/posts |
| response | {"status":"OK","lenght":2,"posts":["fesfe","gregr"],"version":"v1"} |


--- layout: post status: publish published: true title: Vista Problem with Extended Desktops author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 474 wordpress_url: http://winterdom.com/2006/11/vistaproblemwithextendeddesktops date: '2006-11-21 06:06:41 +0000' date_gmt: '2006-11-21 06:06:41 +0000' categories: - Vista tags: [] comments: [] ---
I like to use an extended desktop on my laptop for some presentations: extending my desktop along the main LCD and the external projector. It usually worked very well, until Vista.
I noticed today that on vista, extending the desktop itself works just fine, and the new tools to manage it are actually pretty cool (like the configuration screen that pops up as soon as you connect the external projector). The problem is that for some weird reason, windows on the second monitor (extended desktop) refuse to take input focus, so they don't recognize keyboard input and I can barely get them to recognize mouse clicks by double clicking very fast on them (which usually causes the wrong thing to happen).
I wonder if it's something I'm doing wrong of if it's a bug with the video card drivers or what. Anyone else seen this yet?


Code Bootstrapious
A full stack developer is considered a unicorn. There aren't very many people who have knowledge in both front-end and back-end development. Most people gravitate towards one or othe other with a little bit of knowledge in the unchosen career. Given that a full stack developer is so rare to find, they definitely make the most money. After doing some research, there are many companies offering remote location careers. Being a full-stack developer requires many more years of experience than either of the two other careers. Work for a large company in a remote location but some companies require a degree.
Code Bootstrapious


India's famed camel fair ends on colourful note
Tourists from across the world descended on Asia's largest camel fair in India's desert state of Rajasthan.
Popular for the trade of thousands of animals, mainly camels, every year traders and tourists converge on the sand dunes of Pushkar for the fair.
Set against the backdrop of Rajasthan's picturesque landscape, the fair offers an experience of a lifetime to the visitors.
Scores of cultural programmes like camel races and rides, folk dances, music performances, moustache competitions, puppet and magic shows are among the attractions for tourists looking to experience a flavour of India's royal state.


With the MoMA's reopening in the Summer of 2019, the MoMA Design Store launched a campaign that coinsided with the museum's launch campaign and showcased a new product line with a vibrant and fresh perspective.
Project Details
Completed at MoMA Design Studio for MoMA Design store with Derek Flynn and Amy Kim.