Inspection warns about missing wrapper sections or section keyword arguments. Inspection cannot differ required and optional arguments, so it warns even if argument is optional.


Functions for creating plots and image files in a unified way regardless of output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options as well as scales and aspect ratios are controlled in a uniform way across all device types. Switching output format requires minimal changes in code. This package is ideal for large-scale batch processing, because it will never leave open graphics devices or incomplete image files behind, even on errors or user interrupts.
| Version: | 2.16.0 |
| Depends: | R (≥ 2.14.0) |
| Imports: | grDevices, R.methodsS3 (≥ 1.7.1), R.oo (≥ 1.21.0), R.utils (≥ 2.6.0), base64enc (≥ 0.1-2) |
| Suggests: | digest (≥ 0.6.13), Cairo (≥ 1.5-9), R.rsp |
| Published: | 2018-07-21 |
| Author: | Henrik Bengtsson [aut, cre, cph] |
| Maintainer: | Henrik Bengtsson <henrikb at braju.com> |
| BugReports: | https://github.com/HenrikBengtsson/R.devices/issues |
| License: | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)] |
| URL: | https://github.com/HenrikBengtsson/R.devices |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | R.devices results |
| Reference manual: | R.devices.pdf |
| Vignettes: |
R.devices overview |
| Package source: | R.devices_2.16.0.tar.gz |
| Windows binaries: | r-devel: R.devices_2.16.0.zip, r-release: R.devices_2.16.0.zip, r-oldrel: R.devices_2.16.0.zip |
| OS X binaries: | r-release: R.devices_2.16.0.tgz, r-oldrel: R.devices_2.16.0.tgz |
| Old sources: | R.devices archive |
| Reverse depends: | aroma.core |
| Reverse imports: | aroma.affymetrix, contextual, inpdfr |
| Reverse suggests: | babel, matrixStats, PSCBS, R.rsp |
Please use the canonical form https://CRAN.R-project.org/package=R.devices to link to this page.


"""Utility functions for managing and manipulating FOOOF objects."""
import numpy as np
from fooof.sim import gen_freqs
from fooof.data import FOOOFResults
from fooof.objs import FOOOF, FOOOFGroup
from fooof.analysis.periodic import get_band_peak_fg
from fooof.core.errors import NoModelError, IncompatibleSettingsError
###################################################################################################
###################################################################################################
[docs]def compare_info(fooof_lst, aspect):
"""Compare a specified aspect of FOOOF objects across instances.
Parameters
----------
fooof_lst : list of FOOOF and / or FOOOFGroup
Objects whose attributes are to be compared.
aspect : {'settings', 'meta_data'}
Which set of attributes to compare the objects across.
Returns
-------
consistent : bool
Whether the settings are consistent across the input list of objects.
"""
# Check specified aspect of the objects are the same across instances
for f_obj_1, f_obj_2 in zip(fooof_lst[:-1], fooof_lst[1:]):
if getattr(f_obj_1, 'get_' + aspect)() != getattr(f_obj_2, 'get_' + aspect)():
consistent = False
break
else:
consistent = True
return consistent
[docs]def average_fg(fg, bands, avg_method='mean', regenerate=True):
"""Average across model fits in a FOOOFGroup object.
Parameters
----------
fg : FOOOFGroup
Object with model fit results to average across.
bands : Bands
Bands object that defines the frequency bands to collapse peaks across.
avg : {'mean', 'median'}
Averaging function to use.
regenerate : bool, optional, default: True
Whether to regenerate the model for the averaged parameters.
Returns
-------
fm : FOOOF
Object containing the average model results.
Raises
------
ValueError
If the requested averaging method is not understood.
NoModelError
If there are no model fit results available to average across.
"""
if avg_method not in ['mean', 'median']:
raise ValueError("Requested average method not understood.")
if not fg.has_model:
raise NoModelError("No model fit results are available, can not proceed.")
if avg_method == 'mean':
avg_func = np.nanmean
elif avg_method == 'median':
avg_func = np.nanmedian
# Aperiodic parameters: extract & average
ap_params = avg_func(fg.get_params('aperiodic_params'), 0)
# Periodic parameters: extract & average
peak_params = []
gauss_params = []
for band_def in bands.definitions:
peaks = get_band_peak_fg(fg, band_def, attribute='peak_params')
gauss = get_band_peak_fg(fg, band_def, attribute='gaussian_params')
# Check if there are any extracted peaks - if not, don't add
# Note that we only check peaks, but gauss should be the same
if not np.all(np.isnan(peaks)):
peak_params.append(avg_func(peaks, 0))
gauss_params.append(avg_func(gauss, 0))
peak_params = np.array(peak_params)
gauss_params = np.array(gauss_params)
# Goodness of fit measures: extract & average
r2 = avg_func(fg.get_params('r_squared'))
error = avg_func(fg.get_params('error'))
# Collect all results together, to be added to FOOOF object
results = FOOOFResults(ap_params, peak_params, r2, error, gauss_params)
# Create the new FOOOF object, with settings, data info & results
fm = FOOOF()
fm.add_settings(fg.get_settings())
fm.add_meta_data(fg.get_meta_data())
fm.add_results(results)
# Generate the average model from the parameters
if regenerate:
fm._regenerate_model()
return fm
[docs]def combine_fooofs(fooofs):
"""Combine a group of FOOOF and/or FOOOFGroup objects into a single FOOOFGroup object.
Parameters
----------
fooofs : list of FOOOF or FOOOFGroup
Objects to be concatenated into a FOOOFGroup.
Returns
-------
fg : FOOOFGroup
Resultant object from combining inputs.
Raises
------
IncompatibleSettingsError
If the input objects have incompatible settings for combining.
Examples
--------
Combine FOOOF objects together (where `fm1`, `fm2` & `fm3` are assumed to be defined and fit):
>>> fg = combine_fooofs([fm1, fm2, f3]) # doctest:+SKIP
Combine FOOOFGroup objects together (where `fg1` & `fg2` are assumed to be defined and fit):
>>> fg = combine_fooofs([fg1, fg2]) # doctest:+SKIP
"""
# Compare settings
if not compare_info(fooofs, 'settings') or not compare_info(fooofs, 'meta_data'):
raise IncompatibleSettingsError("These objects have incompatible settings "
"or meta data, and so cannot be combined.")
# Initialize FOOOFGroup object, with settings derived from input objects
fg = FOOOFGroup(*fooofs[0].get_settings(), verbose=fooofs[0].verbose)
# Use a temporary store to collect spectra, as we'll only add it if it is consistently present
# We check how many frequencies by accessing meta data, in case of no frequency vector
meta_data = fooofs[0].get_meta_data()
n_freqs = len(gen_freqs(meta_data.freq_range, meta_data.freq_res))
temp_power_spectra = np.empty([0, n_freqs])
# Add FOOOF results from each FOOOF object to group
for f_obj in fooofs:
# Add FOOOFGroup object
if isinstance(f_obj, FOOOFGroup):
fg.group_results.extend(f_obj.group_results)
if f_obj.power_spectra is not None:
temp_power_spectra = np.vstack([temp_power_spectra, f_obj.power_spectra])
# Add FOOOF object
else:
fg.group_results.append(f_obj.get_results())
if f_obj.power_spectrum is not None:
temp_power_spectra = np.vstack([temp_power_spectra, f_obj.power_spectrum])
# If the number of collected power spectra is consistent, then add them to object
if len(fg) == temp_power_spectra.shape[0]:
fg.power_spectra = temp_power_spectra
# Add data information information
fg.add_meta_data(fooofs[0].get_meta_data())
return fg
[docs]def fit_fooof_3d(fg, freqs, power_spectra, freq_range=None, n_jobs=1):
"""Fit FOOOF models across a 3d array of power spectra.
Parameters
----------
fg : FOOOFGroup
Object to fit with, initialized with desired settings.
freqs : 1d array
Frequency values for the power spectra, in linear space.
power_spectra : 3d array
Power values, in linear space, with shape as: [n_conditions, n_power_spectra, n_freqs].
freq_range : list of [float, float], optional
Desired frequency range to fit. If not provided, fits the entire given range.
n_jobs : int, optional, default: 1
Number of jobs to run in parallel.
1 is no parallelization. -1 uses all available cores.
Returns
-------
fgs : list of FOOOFGroups
Collected FOOOFGroups after fitting across power spectra, length of n_conditions.
Examples
--------
Fit a 3d array of power spectra, assuming `freqs` and `spectra` are already defined:
>>> from fooof import FOOOFGroup
>>> fg = FOOOFGroup(peak_width_limits=[1, 6], min_peak_height=0.1)
>>> fgs = fit_fooof_3d(fg, freqs, power_spectra, freq_range=[3, 30]) # doctest:+SKIP
"""
fgs = []
for cond_spectra in power_spectra:
fg.fit(freqs, cond_spectra, freq_range, n_jobs)
fgs.append(fg.copy())
return fgs


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| Model | S 320 L Business | S 320 L Luxury | S 400 L | S 400 L 4MATIC | S 500 e L | S 500 L 4MATIC |
|---|---|---|---|---|---|---|
| Rated power (kw / hp / rpm) | 200/272/5000 | 200/272/5000 | 245/333/5250 | 245/333/5250 | 245+85/333+116/5250 | 310/421/5500 |
| Rated torque (newton meters / revolution per minute) | 400/1300-4500 | 400/1300-4500 | 480/1600-4000 | 480/1600-4000 | 480/1600-4000 | 600/1900-4000 |
| Number of cylinders / total displacement (ml) | V6/2996 | V6/2996 | V6/2996 | V6/2996 | V6/2996 | V8/3996 |
| Fuel consumption in urban areas (l / 100 km) | 11.3 | 11.3 | 11.2 | 13.1 | 2.8 | 16.2 |
| Suburban fuel consumption (liters / 100 km) | 6.1 | 6.1 | 6.4 | 7.2 | 2.8 | 7.3 |
| Comprehensive fuel consumption (L / 100 km) | 8.0 | 8.0 | 8.2 | 9.3 | 2.8 | 10.5 |
| Fuel tank volume (l) | 70/8 | 70/8 | 70/8 | 70/8 | 70/8 | 80/8 |
| 0-100 km / h (seconds) | 7.1 | 7.1 | 6.8 | 6.8 | 5.7 | 4.9 |
| Maximum speed, approximate (km / h) | 250 | 250 | 250 | 250 | 250 | 250 |
| Front tire size | 245/50 R18 | 245/50 R18 | 245/45 R19 | 245/45 R19 | 245/45 R19 | 245/40 R20 |
| Rear tire size | 245/50 R18 | 245/50 R18 | 275/40 R19 | 275/40 R19 | 275/40 R19 | 275/35 R20 |
| Vehicle length / vehicle width / vehicle height (mm) | 5250/1899/1494 | 5250/1899/1494 | 5250/1899/1497 | 5280/1914/1497 | 5250/1899/1497 | 5280/1905/1500 |


If you love Telegram but don't want to leave Discord then you'll be pleased to find we've built a bridge in this channel. If you'd like to join the group in the Telegram app you can find it here: https://t.me/KomodoPlatform_Official.
Between 03-Jan-20 12:00 AM and 04-Jan-20 12:00 AM
GatewayBOT03-Jan-20 04:07 AM
[telegram] <stk> wallet says it cannot sync after dec-31. Is there any hardfork? What to do next?
This condensed InfoChammel PowerFeed contains multiple sub feeds sourced from ChammelNet. This PowerFeed is encoded with HC2K TECHNO-LOC frequencies to increase positive vibrations and attitude. Subscribers and viewers do not even need to pay attention to receive amazing be...
GatewayBOT03-Jan-20 06:20 AM
[telegram] <Acura360> Which walletversion (re @stk: wallet says it cannot sync after dec-31. Is there any hardfork? What to do next?)
 Thanks a ton. (re @Acura360: Here you can find also the chain as a bootstrapfile
https://dexstats.info/bootstrap.php)
[telegram] <Acura360> :)
GatewayBOT03-Jan-20 10:54 AM
[telegram] <Zeehenk> I juist claimed my rewards via leader using atomic labs
[telegram] <Zeehenk> Logging in again on ledger and is shows 0kmd?!
[telegram] <Zeehenk> I'm freaking out a bit...
[telegram] <Zeehenk> Anyone here who can help me please?
GatewayBOT03-Jan-20 11:12 AM
[telegram] <Acura360> On Ledger Live Software ? (re @Zeehenk: Logging in again on ledger and is shows 0kmd?!)
[telegram] <Zeehenk> Atomic labs
[telegram] <LuckyBTC> Check on kmd explorer
[telegram] <Suzycrabgrass> We need atomicdex to work really well. I am truly hoping for the best dex the world has seen.
[telegram] <Doug> hi guys, I used to use agama wallet with wif, now I see the wallet it is diferent, how can I restore my agama wallet?
gcharang03-Jan-20 11:30 AM
signing in with your wif is giving a different address?
GatewayBOT03-Jan-20 11:31 AM
[telegram] <Doug> @Matterbridge_kmdbot I just downloaded the QT wallet, how can I open my wallet if I just have the wif
gcharang03-Jan-20 11:33 AM
QT wallet only has native mode
and creating a new transaction will create a new address by default
you also have to backup your wallet.dat after every transaction. do you understand this and still want to use it?
Community driven open source CPU mineable cryptocurrency with 50/50 Proof-of-Work/Proof-of-Stake, zk-SNARK zero-knowledge proof privacy.
GatewayBOT03-Jan-20 11:37 AM
[telegram] <Doug> @Matterbridge_kmdbot cool, it is a way to export my wif wallet from agama to the QT? or I have to create a new address in QT and transfer it over?
[telegram] <Doug> @Matterbridge_kmdbot can i claim reward with the qt wallet?
[telegram] <Acura360> Just send the complete balance to yourself
[telegram] <Doug> @Acura360 can I claim reawards in the qt wallet? i cant find
[telegram] <Acura360> .... (re @Acura360: Just send the complete balance to yourself)
[telegram] <Acura360> (re @Acura360: Just send the complete balance to yourself)
[telegram] <Doug> @Acura360 I imported my keys to the new wallet
[telegram] <Doug> fine perfect
[telegram] <Doug> just asking if I can claim the rewards
[telegram] <Doug> in the qt
[telegram] <Acura360> (re @Acura360: Just send the complete balance to yourself)
[telegram] <Acura360> I will repeat:
[telegram] <Acura360> Just send the complete balance to yourself
[telegram] <Doug> @Acura360 I imported my private key
[telegram] <Doug> it is on my qt wallet
[telegram] <Doug> thanks never mind i think u did not understand my question
[telegram] <Acura360> ???
You asked:
can I claim reawards in the qt wallet? i cant find
I answered several times always the same answer ... (re @Doug: thanks never mind i think u did not understand my question)
[telegram] <Doug> ok
[telegram] <Acura360> AGAIN:
JUST SEND THE COMPLETE BALANCE TO YOURSELF
[telegram] <Doug> understood now
[telegram] <Doug> thanks
[telegram] <Doug> have a nice day
[telegram] <Acura360> Why is it so difficult to click on the send Button in the QTWallet and send the total amount once to yourself?(edited)
[telegram] <Doug> none, i just did understand i have to send my complete balance to myself to claim a reward, first time I see this
[telegram] <Doug> a claim button would be much easier
Looking for a new challenge in 2020?
We’re looking for 2 new #developers to join the team and help us continue to innovate cutting-edge #blockchain technology and deliver state-of-the-art apps.
Learn more at https://t.co/79t4EWvHvE
#jobopening #job #hire
GatewayBOT03-Jan-20 12:54 PM
[telegram] <Regnar> Yea some wallets opt for claim buttons but they don't do anything special because the rewards are at the blockchain level and have very little (though some) to do with specific wallets you use.
So simply sending the balance to yourself is how you manually claim, and how "claim buttons" claim for you.
Here is some more information about how the rewards system works.
https://support.komodoplatform.com/support/solutions/articles/29000024428-komodo-5-active-user-reward-all-you-need-to-know (re @Doug: a claim button would be much easier)
What is the 5% Active User Reward? Any Komodo address holding an unspent transaction output (UTXO) of value greater than 10 KMD will begin earning a reward once the lock time is set about 1 hour after a transaction that creates the UTXO is mi...
GatewayBOT03-Jan-20 04:21 PM
[telegram] <Acura360> Looking Forward To 2020
In the coming weeks, Komodo will be releasing an official 2019 year-end report. The report will provide a comprehensive review of Komodo's progress in 2019 in terms of development, marketing, and adoption.
The Komodo team will also soon release information about development priorities for 2020. This will include plans for AtomicDEX, from desktop versions of AtomicDEX to the web browser implementation to market-making tools, as well as other areas of focus, such as expanding the Antara Module library and advancing nSPV technology.
Keep an eye out for the year-end report and the announcement of Komodo's plans for 2020!
GatewayBOT03-Jan-20 04:31 PM
[telegram] <BTC_SOL> Hey bro ✌ .... I was kicked out of many groups recently. Could you kindly have a look to re add me into Atomic DEX and german Komodo community? (re @Acura360: Looking Forward To 2020
In the coming weeks, Komodo will be releasing an official 2019 year-end report. The report will provide a comprehensive review of Komodo's progress in 2019 in terms of development, marketing, and adoption.
The Komodo team will also soon release information about development priorities for 2020. This will include plans for AtomicDEX, from desktop versions of AtomicDEX to the web browser implementation to market-making tools, as well as other areas of focus, such as expanding the Antara Module library and advancing nSPV technology.
Keep an eye out for the year-end report and the announcement of Komodo's plans for 2020!)
[telegram] <Acura360> Try to join kmd german and here
t.me/atomicDEX (re @BTC_SOL: Hey bro ✌ .... I was kicked out of many groups recently. Could you kindly have a look to re add me into Atomic DEX and german Komodo community? )
[telegram] <BTC_SOL> Worked. Thx (re @Acura360: Try to join kmd german and here
t.me/atomicDEX)
Looking for a new challenge in 2020?
We’re looking for 2 new #developers to join the team and help us continue to innovate cutting-edge #blockchain technology and deliver state-of-the-art apps.
Learn more at https://t.co/79t4EWvHvE
#jobopening #job #hire


About
My name is Brian Palay. I'm a full-stack web developer with a particular fondness for front-end development and design. I graduated from the University of Minnesota with a B.A. in architecture, and I'm currently earning a certificate in full-stack development from the University of Minnesota Coding Boot Camp. My work over the years has involved many forms of digital design, including graphic design, product photography, and 3D modeling and rendering.
I've always loved creating things - from Lego as a kid, to songs in my 15 years as a professional musician. In web development, I see a new and exciting opportunity to put my passion for creating to work.


This is a barebones multipage website I've built to provide a basis for building our Angular frontend.
Visit the other pages below:


EcoSim_p: An ABM simulation tool in Python¶
Economic Simulation in Python (EcoSim_p) is an agent based modeling and simulation framework made in Python 3+. The models are written in python but all te initialization and definition of the interface are in json.
EcoSim_p Design Patterns¶
EcoSim_p uses MVC, dependency injection and other design patterns to implement the simulation.
The framework is constructed around a kernel module and has examples to show the use of the model.
Structure¶
The framework is composed by three parts:
- Interface - Is the view part of the simulator, and is accessed by html/css files. From this pages the user can define the initial parameters of a simulation, run and visualize a simulation.
- Kernel - Is the main part of the simulator. In the kernel we have all the control of the simulator. A simulation is created executing the __*main.py*__, with the model definition files (json) passed as parameters.
- Apps - The apps are the implementations of the models. Each model has its folder and subfolders. The definition of the simulation intialization is in a json file and the agents, spaces and actions in the model are defined in specific python modules.
Main Features¶
Getting Started¶
To obtain the kernel and examples you can go in the folowing github page:
Or alternatively you can clone the framework using github client, or other clonning method:
$ gh repo clone sergiolmrivero/EcoSim_p


|
Lets look at a summary of the scope of IFRS 1, First Adoption of International Financial Reporting Standards. Click the questions below to reveal the main concepts. |
| When should an entity apply IFRS 1? |
| Which are the first annual financial statements? |
| What is the effective date of this IFRS? |


An AI based model to read invoices from variable sources and identifies key data points like vendor name, unit of currency, tax amount, PO or contract reference number from the document.
The summary of the Invoice processed is shown in the Table Below. The fields that could not be identified are left blank.
In the accounting process, vendors provide system generated invoices/handwritten invoices for payments of contracts. Refer to the variations in sample invoices and it gives a glimpse of the complexity in processing huge volumes of such invoices.


{% extends "layouts/version_index.html" %} {% block version_details %}
Details of changes and things being tested in this iteration/version of the prototype


Hyundai RM19 concept revealed
by Staff WriterConcept is powered by a 390hp, 2.0-litre turbo-petrol engine derived from company’s TCR touring cars; previews a future halo models from Hyundai's N performance brand.
Hyundai’s N performance division has revealed a new RM19 Racing Midship Sports Car Prototype, which will be used as a development platform for the sub-brand’s planned 'halo' car.
The new machine, unveiled at the Los Angeles motor show, is effectively an extensively reworked version of the i30 and Veloster TCR touring cars, albeit with a mid-mounted engine and designed to be road-legal.
It is powered by the turbocharged 2.0-litre powerplant from those machines, upgraded to produce 390hp. Because the unit does not need to meet TCR’s performance balancing rules, Hyundai been able to give the machine extra boost.
Hyundai claims the rear-wheel-drive RM19 can achieve 0-96kph in less than four seconds, and offers “race car-like” levels of performance, balance, braking and grip while retaining daily road-going capability. It has a limited top speed of around 250kph, and uses a version of the TCR car’s 6-speed sequential gearbox that's been optimised for road use.
While the RM19 concept is powered by a racing-derived combustion engine, Hyundai says it could be fitted with electrified and full electric powertrains. Hyundai is working with Croatian firm Rimac – which it has invested in – to develop high-performance electric and fuel cell powertrains for use in future models from its N division. The planned 'halo' car is set to feature a plug-in hybrid powertrain.
Hyundai R&D boss Albert Biermann said: “The RM19 prototype is completely at home on the track, but it will also be fun just about anywhere else. This new prototype takes the pleasure of driving to the next level of excitement, moving [Hyundai] to the prestigious area of supercar performance."
He added: “We are developing high-performance electric vehicles with Rimac as part of our effort to introduce 44 eco models by 2022.”
Thomas Schmera, Hyundai’s product boss, commented: “The RM19 sports car signals future brand aspirations for Hyundai’s high-performance N brand, solidly moving N into the prestigious arena of supercar-level performance. Hyundai N will not only increase heartbeats per minute via powerful internal combustion engines, but also through the instantaneous torque and environmental sustainability of electrified powertrains moving forward.”
Hyundai has produced a number of RM – which stands for Racing Midship – concepts, starting with the RM12 in 2012. Albert Biermann, Hyundai’s development chief and boss of the N division, said: “The RM platform is a versatile engineering testbed, allowing effective evaluation of various powertrains and performance levels, all on normal roads and environments.”
The RM19 concept features an aluminium and steel subframe. There is MacPherson strut front suspension and double wishbones at the rear, with gas-pressure dampers and features motorsport-derived ABS braking.
For the India, Hyundai is set to update or replace a number of its models in the coming year. The carmaker has plans to introduce the all-new i20 and next-gen Creta next year, along with launching its second-gen compact sedan, badged the Aura. Also on the cards is a sportier iteration of the new Grand i10 Nios with a 1.0-litre turbo-petrol engine under the hood.
Also see:
Next-gen Hyundai Tucson previewed as Vision T Concept
Hyundai Aura engine, gearbox options revealed
Now, book your service appointment on Whatsapp: Hyundai India


Steven was called back by what was previously known at Parliamentary ICT to facilitate a number of new projects and initiatives within the newly formed Digital Service. These are:
• Leading a team of engineers on the creation of a new AWS platform to host parliament.uk
• Training the teams to use tools such as Go.cd, Docker Swarm, Consul, Terraform and Packer.
• Mentoring multiple development teams into getting up to speed with Docker as a concept.
• Brought in the concept of LDD (Log Driven Development) logging to the ELK stack.
• Brought in the concept of HCDD (Health Check Driven Development) for application monitoring.
• Lead the evaluation of the toolsets to use to aid Continuous Delivery to both AWS and Azure.
Build and Release Engineer (Contract)
Game Retail Ltd
During this role Steven was working on the implementation of Continuous Delivery for the clients Windows platforms within VMware vSphere
using tools such as Artifactory, Chocolatey, TeamCity, Chef, MS Build and ThoughtWorks Go.
Technical Consultant (Contract)
Parliamentary ICT
During this role Steven was working alongside a set of agile development teams that work on a suite of Line of Business internal applications.
• Implemented a standardised Continuous Integration process on TeamCity.
• Mentored permanent members of staff on Test Driven Development using NUnit & Moq.
• Worked alongside Senior Management to facilitate structured integration testing phases.
Analyst Programmer
SFW Ltd
During this role Steven led an Agile team on the enhancement of a suite of applications, ranging from ASP.NET MVC websites to C# console applications. He gained/enhanced skills in:
• Task prioritisation by developing, testing and team leading at the same time.
• Customer relations by liaising with the client to understand their requirements.
• Communication skills by leading a team of developers based in the UK and India.
• Demonstrated ability to analyse, evaluate, and incorporate changes.
• Increased technical skills using Entity Framework Code-First approach.
• Increased test driven development skills (TDD) using NUnit, StructureMap and Moq.
• Team Foundation Server upgrade 2010 to 2012.


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To become a Tyrant your level must be over 40 and you must collect the Mark of the Challenger, the Mark of Glory, and the Mark of the Duelist.
Your training is impressive but you still have not collected all 3 marks.


380-pound Florida man arrested after hiding drugs in belly button
by Natalie MusumeciA 380-pound Florida man used his belly button to stash a bag of meth, police said.
Martin Skelly, 41, of St. Petersburg was busted early Saturday after he reportedly showed up to a McDonald’s in Clearwater with a drug-filled needle.
Investigators found a 28-gauge needle on Skelly, and he was arrested on charges of possession of methamphetamine, The Smoking Gun reported, citing an arrest affidavit.
Police searched Skelly before he was booked at Pinellas County Jail.
Before he was transported, authorities asked Skelly if he had any more contraband on him, warning him that he could face additional charges if more drugs were found on him at the jail — but Skelly said no, the affidavit said.
While he was being processed at the jail, police found a small bag of meth “wedged deep within the belly button cavity of [Skelly],” the affidavit said.

He was hit with two more felony charges after those drugs were discovered.


--- layout: post title: Coincidink? date: 2006-10-01 00:00:00 category: personal ---
On Wednesday I went to see An Inconvenient Truth; today I read about a tornado over Brighton...


Hi, I'm Madison! About a year and a half ago I decided I was ready to learn to code after graduating with a business degree and working in customer service. I attended a coding bootcamp in Durham that ended in December 2019. We learned to build full stack applications focusing on Javascript and since then I've been working with C# and .NET as contractor for a maritime company. My hobbies include cooking new recipes, exploring local trails, and watching way too much 90 Day Fiance.


Departure time: {{ flight.reqFlight.flight_schedule.departure_time * 1000 | date:'MMM d, y HH:mm' }}
Landing time: {{ flight.reqFlight.flight_schedule.arrival_time * 1000 | date:'MMM d, y HH:mm' }}
Passengers: {{ flight.reqFlight.deadload.passengers_forecasted }} / {{ flight.reqFlight.deadload.passengers_checked_in }}
Forecasted: {{ flight.reqFlight.deadload.baggage_forecasted }} / {{ flight.reqFlight.deadload.baggage_estimated }} / {{ flight.reqFlight.deadload.baggage_checked_in }}


To view this content, you need to install Java from
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Source code:
spacesketch1
Built with
Processing
Back


The solver interface for both Q and R consists of the following
predicates, which are exported from module(linear)
.
{
+Constraint}
| ?- clpr:{Ar+Br=10}, Ar=Br, clpq:{Aq+Bq=10}, Aq=Bq. Aq = 5, Ar = 5.0, Bq = 5, Br = 5.0
Although clp(Q) and clp(R) are independent modules, you are asking for trouble if you (accidently) share variables between them:
| ?- clpr:{A+B=10}, clpq:{A=B}. ! Type error in argument 2 of clpq:=/2 ! a rational number expected, but 5.0 found ! goal: _118=5.0
This is because both solvers eventually compute values for the variables and Reals are incompatible with Rationals.
Here is the constraint grammar:
| Constraint | ::= C
| |
| C , C | { conjunction }
| |
| C | ::= Expr =:= Expr | { equation }
|
| Expr = Expr | { equation }
| |
| Expr < Expr | { strict inequation }
| |
| Expr > Expr | { strict inequation }
| |
| Expr =< Expr | { nonstrict inequation }
| |
| Expr >= Expr | { nonstrict inequation }
| |
| Expr =\= Expr | { disequation }
| |
| Expr | ::= variable | { Prolog variable }
|
| | number | { floating point or integer }
| |
| + Expr | { unary plus }
| |
| - Expr | { unary minus }
| |
| Expr + Expr | { addition }
| |
| Expr - Expr | { subtraction }
| |
| Expr * Expr | { multiplication }
| |
| Expr / Expr | { division }
| |
| abs( Expr) | { absolute value }
| |
| sin( Expr) | { trigonometric sine }
| |
| cos( Expr) | { trigonometric cosine }
| |
| tan( Expr) | { trigonometric tangent }
| |
| pow( Expr, Expr) | { raise to the power }
| |
| exp( Expr, Expr) | { raise to the power }
| |
| min( Expr, Expr) | { minimum of the two arguments }
| |
| max( Expr, Expr) | { maximum of the two arguments }
| |
| #( Const) | { symbolic numerical constants }
|
{
C,
C}
have been made part of the syntax
to control the granularity of constraint submission, which will be exploited by
future versions of this software.
Symbolic numerical constants are provided for compatibility only;
see CLPQR Monash Examples.
entailed(
+Constraint)
clp(q) ?- {A =< 4}, entailed(A=\=5). {A=<4} clp(q) ?- {A =< 4}, entailed(A=\=3). no
inf(
+Expr,
-Inf)
inf(
+Expr,
-Inf,
+Vector,
-Vertex)
sup(
+Expr,
-Sup)
sup(
+Expr,
-Sup,
+Vector,
-Vertex)
clp(q) ?- { 2*X+Y =< 16, X+2*Y =< 11, X+3*Y =< 15, Z = 30*X+50*Y }, sup(Z, Sup, [X,Y], Vertex). Sup = 310, Vertex = [7,2], {Z=30*X+50*Y}, {X+1/2*Y=<8}, {X+3*Y=<15}, {X+2*Y=<11}
minimize(
+Expr)
minimize(Expr) :- inf(Expr, Expr).
maximize(
+Expr)
clp(q) ?- { 2*X+Y =< 16, X+2*Y =< 11, X+3*Y =< 15, Z = 30*X+50*Y }, maximize(Z). X = 7, Y = 2, Z = 310
bb_inf(
+Ints,
+Expr,
-Inf)
clp(q) ?- {X >= Y+Z, Y > 1, Z > 1}, bb_inf([Y,Z],X,Inf). Inf = 4, {Y>1}, {Z>1}, {X-Y-Z>=0}
bb_inf(
+Ints,
+Expr,
-Inf,
-Vertex,
+Eps)
abs(round(
X)-
X) <
Eps. The predicate
bb_inf/3
uses Eps = 0.001
. With clp(Q),
Eps = 0
makes sense. Vertex is a list of the
same length as Ints and contains the (integral) values for
Ints, such that the infimum is produced when assigned. Note that
this will only generate one particular solution, which is different from
the situation with minimize/1
, where the general solution is
exhibited.
bb_inf/5
works properly for non-strict inequalities only!
Disequations (=\=
) and higher dimensional strict inequalities
(>
,<
) are beyond its scope. Strict bounds on the decision
variables are honored however:
clp(q) ?- {X >= Y+Z, Y > 1, Z > 1}, bb_inf([Y,Z],X,Inf,Vertex,0). Inf = 4, Vertex = [2,2], {Y>1}, {Z>1}, {X-Y-Z>=0}
The limitation(s) can be addressed by:
{X + Y > 0}
becomes {X
+ Y >= 1}
for integral X
and Y
;
ordering(
+Spec)
dump(
+Target,
-NewVars,
-CodedAnswer)
clp(q) ?- {A+B =< 10, A>=4}, dump([A,B],Vs,Cs), dump([B],Bp,Cb). Cb = [_A=<6], Bp = [_A], Cs = [_B>=4,_C+_B=<10], Vs = [_C,_B], {A>=4}, {A+B=<10}
The current version of dump/3
is incomplete with respect to
nonlinear constraints. It only reports nonlinear constraints that are
connected to the target variables. The following example has no
solution. From the top-level's report we have a chance to deduce this
fact, but dump/3
currently has no means to collect global
constraints ...
q(X) :- {X>=10}, {sin(Z)>3}. clp(r) ?- q(X), dump([X],V,C). C = [_A>=10.0], V = [_A], clpr:{3.0-sin(_B)<0.0}, {X>=10.0}
projecting_assert/1(
:Clause)
assert/1
in order to ensure that only
the relevant and projected constraints get stored in the database.
It will transform the clause into one with plain variables
and extra body goals that set up the relevant constraint
when called.


activationStrategy: ActivationStrategy The strategy to use when activating modules during navigation.


Overview
Package
FRAMES
NO FRAMES
Package sorcer.service
Class Summary
AsyncExertion
Block
Condition
Configurable
Configurator
ContextFactory
ExertionCallable
ExertionExecutor
Identity
IndexedContext
Job
RemoteServiceEvent
RequestId
SecureIdentifiable
ServiceExertion
SignatureFactory
Task
TaskFactory
Overview
Package
FRAMES
NO FRAMES
Copyright © 2013-2014 Sorcersoft.com S.A.. All Rights Reserved.


Intersection
Address
Direction
Update My Location Every
Seconds
Speak Intersection Within
Feet
Look for New Intersection Every
Seconds
Check for Direction Over Past
Seconds
Having trouble?
Debug Information:
Error Information:


|
ZCoreEngine2D
0.1
|
#include <TransformComponent.h>
Public Member Functions | |
| TransformComponent (int posX, int posY, int velX, int velY, float scale=1) | |
| void | Update (float deltaTime) override |
| Public Member Functions inherited from Component | |
| virtual | ~Component () |
| virtual void | Initialize () |
| virtual void | Render () |
| virtual void | Destroy () |
Static Public Member Functions | |
| static TransformComponent * | Generate (sol::table paramsTable) |
Public Attributes | |
| glm::vec2 | position |
| glm::vec2 | velocity |
| float | scale |
| float | rotation |
| Public Attributes inherited from Component | |
| Entity * | entity |
|
inline |
|
inlinestatic |
|
inlineoverridevirtual |
Reimplemented from Component.
| glm::vec2 TransformComponent::position |
| float TransformComponent::rotation |
| float TransformComponent::scale |
| glm::vec2 TransformComponent::velocity |


polygonCentroid3d
PURPOSE
POLYGONCENTROID3D compute centroid (center of mass) of a polygon
SYNOPSIS
function pt = polygonCentroid3d(varargin)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- createPlane CREATEPLANE create a plane in parametrized form
- planePoint PLANEPOINT compute 3D position of a point in a plane
- planePosition PLANEPOSITION compute position of a point on a plane
This function is called by:
- faceCentroids FACECENTROIDS compute centoids of faces of a polyhedron
Generated on Fri 05-Feb-2010 11:20:41 by m2html © 2003


Step 1 Drag the left image (left mouse button) so that the blue arrow points away from the surface and the green grid is aligned with the surface. Rotate the grid with the right mouse button.
Step 2 You can also adjust the shape here on the right. Drag with the right mouse button to rotate. Tiles and wood patterns should appear parallel, and rectangles inside the shape should have 90 degree right angles.


Hello coding yuh. This is the webpage where the coding files and stuff of Nate Hopkins will appear.
About me
Group Design Challenges
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
Final Project


03 August 1999
Disease Outbreak Reported
An outbreak has occurred in Boboyé District, Dosso Department, which is approximately 100 km east of Niamey. The first cases were reported in June and as of 30 July the total number is 169 cases with 10 deaths. Thirty-six villages were affected. Control measures which were taken at the early stages of the outbreak have helped to decrease the numbers of cases and since 28 July only 1 or 2 cases are occurring daily. The Minister of Public Health visited the area to make the public aware of the situation and to encourage the field teams for their work. Various materials and medicines were supplied by UNICEF, WHO and "Italian Cooperation" both in the districts affected and in other regions in case of spread.
Cholera outbreaks occur in Niger fairly regularly although no cases were reported in 1998. A total of 259 cases with 13 deaths was reported in 1997 and a larger outbreak with 3 957 cases and 206 deaths in 1996.


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Design
your future home!
Home
Customer
Items
Orders
Showrooms
Reports
Moratuwa Funitures & Sons
Just for you.
You design , We make.
Your Orders


1 root Animator
with 3000 children Animator
s
managed in parallel, each child with a DIV element which updates its element
opacity on state transition. Every 2 seconds the root Animator
is updated and all Animator
s take 0.5s on enter and exit
transitions.


--- layout: post title: "Using NuGet with autonomous repositories" description: "NuGet is a great tool if used correctly. Here's one way to do it." date: 2014-02-03 16:06 UTC tags: [Productivity] image: "/content/binary/pub-sub-repositories.png" image_alt: "Diagram showing pull and push from repositories." --- {% include JB/setup %}
{{ page.description }}
In my recent post about NuGet, I described why the Package Restore feature is insidious. As expected, this provoked some readers, who didn't like my recommendation of adding NuGet packages to source control. That's understandable; the problem with a rant like my previous post is that while it tells you what not to do, it's not particularly constructive. While I told you to store NuGet packages in your source control system, I didn't describe patterns for doing it effectively. My impression was that it's trivial to do this, but based on the reactions I got, I realize that this may not be the case. Could it be that some readers react strongly because they don't know what else to do (than to use NuGet Package Restore)? In this post, I'll describe a way to use and organize NuGet packages that have worked well for me in several organizations.
In Grean we use NuGet in a sort of Publish/Subscribe style. This is a style I've also used in other organizations, to great effect. It's easy: create reusable components as autonomous libraries, and publish them as NuGet packages. If you don't feel like sharing your internal building blocks with the rest of the world, you can use a custom, internal package repository, or you can use MyGet (that's what we do in Grean).
A reusable component may be some package you've created for internal use. Something that packages the way you authenticate, log, instrument, render, etc. in your organization.
Every time you have a new version of one of your components (let's call it C1), you publish the NuGet package.
Just like other Publish/Subscribe systems, the only other party that you rely on at this moment is the queue/bus/broker - in this case the package repository, like NuGet.org or MyGet.org. No other systems need to be available to do this.
You do this for every reusable component you want to publish. Each is independent of other components.
In addition to reusable components, you probably also build systems; that is, applications that actually do something. You probably build those systems on top of reusable components - yours, and other publicly available NuGet packages. Let's call one such system S1.
Whenever you need a NuGet package (C1), you add it to the Visual Studio project where you need it, and then you commit your changes to that system's source control. It effectively means checking in the NuGet package, including all the binaries, to source control. However, the S1 repository is not the same repository as the C1 repository. Both are autonomous systems.
The only system you need to be available when you add the NuGet package C1 is the NuGet package source (NuGet.org, MyGet.org, etc.). The only system you need to be available to commit the changes to S1 is your source control system, and if you use a Distributed Version Control System (DVCS), it's always going to be available.
Pretty trivial so far.
"This isn't pub/sub," you'll most likely say. That's right, not in the traditional sense. Still, if you adopt the pattern language of Enterprise Integration Patterns, you can think of yourself (and your colleagues) as a Polling Consumer.
"But," I suppose you'll say, "I'm not polling the repository and pulling down every package ever published."
True, but you could, and if you did, you'd most likely be filtering away most package updates, because they don't apply to your system. That corresponds to applying a Message Filter.
This last part is important, so let me rephrase it:
Just because your system uses a particular NuGet package, it doesn't mean that you have to install every single version ever published.
It seems to me that at least some of the resistance to adding packages to your repository is based on something like that. As Urs Enzler writes:
[Putting packages in source control is] "not an option if your repo grows > 100GB per month due to monthly updates of BIG nuget packages"While I'm not at all in possession of all the facts regarding Urs Enzler's specific problems, it just got me thinking: do you really need to update your local packages every time a new package is published? You shouldn't have to, I think.
As an example, consider my own open source project AutoFixture, which keeps a fairly high release cadence. It's released according to the principles of Continuous Delivery, so every time there's a new feature or fix, we release a new NuGet package. In 2013, we released 47 versions of the AutoFixture NuGet package, including one major release. That's almost a release every week, but while I use AutoFixture in many other projects, I don't try to keep up with it. I just install AutoFixture when I start a new project, and then I mostly update the package if I need one of the new features or bug fixes. Occasionally, I also update packages in order to not fall too much behind.
As a publicly visible case, consider Hyprlinkr, which uses AutoFixture as one of its dependencies. While going though Hyprlinkr's NuGet packages recently, I discovered that the Hyprlinkr code base was using AutoFixture 2.12.0 - an 18 months old version! I simply hadn't needed to update the package during that time. AutoFixture follows Semantic Versioning, and we go to great lengths to ensure that we don't break existing functionality (unless we do a major release).
Use the NuGet packages you need, commit them to source control, and update them as necessary. For all well-designed packages, you should be able to skip versions without ill effects. This enables you to treat the code bases for each system (S1, S2, etc.) as autonomous systems. Everything you need in order to work with that code base is right there in the source code repository.
What if you need to keep up-to-date with a package that rapidly evolves? From Urs Enzler's tweet, I get the impression that this is the case not only for Urs, but for other people too. Imagine that the creator of such a package frequently publishes new versions, and that you have to keep up to date. If that's the case, it must imply that the package isn't stable, because otherwise, you'd be able to skip updates.
Let me repeat that:
If you depend on a NuGet package, and you have to stay up-to-date, it implies that the package is unstable.
If this is the case, you have an entirely other problem on your hand. It has nothing to do with NuGet Package Restore, or whether you're keeping packages in source control or not. It means that you're violating the Stable Dependencies Principle (SDP). If you feel pain in that situation, that's expected, but the solution isn't Package Restore, but a better dependency hierarchy.
If you can invert the dependency, you can solve the problem. If you can't invert the dependency, you'd probably benefit from an Anti-corruption Layer. There are plenty of better solution that address the root cause of your problems. NuGet Package Restore, on the other hand, is only symptomatic relief.
Comments
Can you elaborate a bit on not breaking existing functionality in newer versions (as long as they have one major version)? What tools are you using to achieve that? I read your post on Semantic Versioning from couple months ago. I manage OSS project and it has quite a big public API - each release I try hard to think of anything I or other contributors might have broken. Are you saying that you relay strictly on programmer deep knowledge of the project when deciding on a new version number? Also, do you build AutoFixture or any other .NET project of yours for Linux/Mono?
For AutoFixture, as well as other OSS projects I maintain, we rely almost exclusively on unit tests, keeping in mind that trustworthy tests are append-only. AutoFixture has some 4000+ unit tests, so if none of those break, I feel confident that a release doesn't contain breaking changes.
For my other OSS projects, the story is the same, although the numbers differ.
- Albedo has 354 tests.
- ZeroToNine has 200 tests.
- Hyprlinkr has 88 tests.
These are much smaller projects than AutoFixture, but since they were all built with TDD, they have excellent code coverage.Currently, I don't build any of these .NET projects for Mono, as I've never had the need.
So you verify behaviour didn't change with a help of automated tests and a good test coverage. What I had in mind is some technique to verify not only the desired behaviour is in place, but also a public API (method signatures, class constructors, set of public types). I should probably clarify that in one of my projects public API is not fully covered by unit-tests. Most critical parts of it are covered, but not all of it. Let's say that upcoming release contains bugfixes as well as new features. I also decided that couple of public API methods are obsolete and deleted them. That makes a breaking change. Let's say I had a lot on my mind and I forgot about the fact that I made those changes. Some time goes by, I'd like to push a new version with all these changes to NuGet, but I'd like to double-check that the public API is still in place compared to the last release. Are there some tools that help with that, may be the ones you use? Or do you rely fully on the tests and your process in that regard? My approach to releases and versioning is a LOT more error prone than yours, clearly, that's the part of my projects that I'd like to improve.
The only technique I rely on apart from automated tests is code reviews. When I write code myself, I always keep in mind if I'm breaking anything. When I receive Pull Requests (PR), I always review them with an eye towards breaking changes. Basically, if a PR changes an existing test, I review it very closely. Obviously, any change that involves renaming of types or members, or that changes public method signatures, are out of the question.
While I'm not aware of any other technique than discipline that will protect against breaking changes, you could always try to check out the tests you have against a previous version, and see if they all pass against the new version. If they don't, you have a breaking change.
You can also make a diff of everything that's happened since your last release, and then meticulously look through all types and members to see if anything was renamed, or method signatures changed. This will also tell you if you have breaking changes.
However, in the end, if you find no breaking changes using these approaches, it's still not a guarantee that you have no breaking changes, because you may have changed the behaviour of some methods. Since you don't have full test coverage, it's hard to tell.
What you could try to do, is to have Pex create a full test suite for your latest released version. This test suite will give you a full snapshot of the behaviour of that release. You could then try to run that test suite on your release candidate to see if anything changed. I haven't tried this myself, and I presume that there's still a fair bit of work involved, but perhaps it's worth a try.


Beast Herder Tunatun:
In order to give orders to the beasts, you need this Bull Whip. On the old Beast Farm, you used to be able to command only one beast, but with this improved whip, you can now give orders to many tamed beasts at the same time.
Continue to listen to the story


 A retro-style slot car game played across screens. On phones or tablets, Android or iOS. Anyone can join. No apps. No downloads. Just the mobile web.
Plan8 together with our friends at 14islands created the dynamic music and sound experience based on an original composition by Giorgio Moroder. Racer features responsive engine sounds, race sound effects, but more importantly a dynamic music mix that distributes itself over several devices as racers join. It’s a multi-speaker installation composed of smartphones.
Connecting multiple devices together was something we had been fooling around with for some time. We had done music experiments where sound would split up on different devices or jump between devices, so we were eager to apply those ideas to Racer.
More specifically we wanted to test if we could build up the music track across the devices as more and more people joined the game—starting with drums and bass, then adding guitar and synths and so on. We did some music demos and dived into coding. The multi speaker effect was really rewarding. We didn’t have all the syncing right at this point, but when we heard the layers of sound spread out over the devices we knew we were onto something good.
Google Creative Lab had outlined a creative direction for the sound and music. We wanted to use analogue synthesizers to create the sound effects rather than recording the real sounds or resorting to sound libraries. We also knew the output speaker would, in most cases, be a tiny phone or tablet speaker so the sounds had to be limited in frequency spectrum to avoid the speakers from distorting. This proved to be quite a challenge. When we received the first music drafts from Giorgio it was a relief because his composition worked perfectly with the sounds we had created.
The greatest challenge in programming the sounds was to find the best engine sound and sculpt its behavior. The race track resembled an F1 or Nascar track, so the cars had to feel fast and explosive. At the same time the cars were really small so a big engine sound wouldn’t really connect the sound to the visuals. We couldn’t have a beefy roaring engine playing in the mobile speaker anyway so we had to figure out something else.
To get some inspiration we hooked up some of our friend Jon Ekstrand’s collection of modular synths and started messing around. We liked what we heard.
Analogue gear has been remodeled with great success using the Web Audio API before so we had high hopes and started to create a simple synth in Web Audio. A generated sound would be the most responsive but would tax the processing power of the device. We needed to be extremely lean to save all the resources we could in order for the visuals to run smoothly. So we switched technique in favor of playing audio samples instead.
There are several techniques that could be used to make an engine sound out of samples. The most common approach for console games would be to have a layer of multiple sounds (the more the better) of the engine at different RPMs (with load) and then crossfade and crosspitch between them. Then add a layer of multiple sounds of the engine just revving (without load) at the same RPM and crossfade and crosspitch between the too. Crossfading between those layers when shifting gears, if done properly, will sound very realistic but only if you have a large amount of sound files. The crosspitching can’t be too wide or it will sound very synthetic. Since we had to avoid long load times this option wasn’t good for us. We tried with five or six sound files for each layer, but the sound was disappointing. We had to find a way with fewer files.
The most effective solution proved to be this:
For the first touch event / acceleration we would play the first file from the beginning, and if the player released the throttle we would calculate the time from where we were in the sound file at release so that when the throttle came on again it would jump to the right place in the acceleration file after the second (revving down) file was played.
function throttleOn(throttle) { //Calculate the start position depending //on the current amount of throttle. //By multiplying throttle we get a start position //between 0 and 3 seconds. var startPosition = throttle * 3; var audio = context.createBufferSource(); audio.buffer = loadedBuffers["accelerate_and_loop"]; //Sets the loop positions for the buffer source. audio.loopStart = 5; audio.loopEnd = 9; //Starts the buffer source at the current time //with the calculated offset. audio.start(context.currentTime, startPosition); }
Start the engine and press the "Throttle" button.
So with only three small sound files and a good sounding engine we decided to move on to the next challenge.
Together with David Lindkvist of 14islands we started to look deeper into getting the devices to play in perfect sync. The basic theory is simple. The device asks the server for its time, factors in network latency, then calculates the local clock offset.
syncOffset = localTime - serverTime - networkLatency
With this offset each connected device shares the same concept of time. Easy, right? (Again, in theory.)
We might assume that latency is half the time it takes to request and receive a response from the server:
networkLatency = (receivedTime - sentTime) × 0.5
The problem with this assumption is that the round trip to the server is not always symmetrical, i.e. the request might take longer than the response or vice versa. The higher the network latency, the bigger impact this asymmetry will have—causing sounds to be delayed and played out of sync with other devices.
Luckily our brain is wired to not notice if sounds are slightly delayed. Studies have shown that it takes a delay of 20 to 30 milliseconds (ms) before our brain will perceive sounds as separate. However, by around 12 to 15 ms, you will start to “feel” the effects of a delayed signal even if you’re unable to fully “perceive” it. We investigated a couple of established time synchronization protocols, simpler alternatives, and tried implementing some of them in practice. In the end—thanks to Google’s low latency infrastructure—we were able to simply sample a burst of requests and use the sample with the lowest latency as a reference.
It worked! We had 5+ devices playing a pulse in perfect sync—but only for a while. After playing for a couple of minutes devices would drift apart even though we scheduled sound using the highly precise Web Audio API context time. The lag accumulated slowly, by only a couple of milliseconds at a time and undetectable at first, but resulting in musical layers totally out of sync after playing for longer periods of time. Hello, clock drift.
The solution was to re-sync every few seconds, calculate a new clock offset and seamlessly feed this into the audio scheduler. To reduce the risk of notable changes in the music due to network lag, we decided to smooth out the change by keeping a history of latest sync offsets and calculate an average.
Making an interactive sound experience means that you are no longer in control of when parts of the song will play, since you depend on user actions to change the current state. We had to make sure we could switch between arrangements in the song in a timely fashion, which means our scheduler had to be able to calculate how much remains of the currently playing bar before switching to the next arrangement. Our algorithm ended up looking something like this:
Client(1)
starts the song.Client(n)
asks first client when the song was started.Client(n)
calculates a reference point to when the song was started using its Web Audio context, factoring in syncOffset, and the time that has passed since its audio context was created.playDelta = Date.now() - syncOffset - songStartTime - context.currentTime
Client(n)
calculates how long the song has been running using the playDelta. The song scheduler uses this to know which bar in the current arrangement should be played next.playTime = playDelta + context.currentTime nextBar = Math.ceil((playTime % loopDuration) ÷ barDuration) % numberOfBars
For the sake of sanity, we limited our arrangements to always be eight bars long and have the same tempo (beats per minute).
It’s always important to schedule ahead when using setTimeout
or setInterval
in JavaScript. This is because the JavaScript clock is not very precise and scheduled callbacks can easily be skewed by tens of milliseconds or more by layout, rendering, garbage collection, and XMLHTTPRequests. In our case we also had to factor in the time it takes for all clients to receive the same event over the network.
Combining sounds into one file is a great way to reduce HTTP requests, both for HTML Audio and the Web Audio API. It also happens to be the best way to play sounds responsively using the Audio object, since it doesn’t have to load up a new audio object before playing. There are already some good implementations out there which we used as a starting point. We’ve extended our sprite to work reliably on both iOS and Android as well as handling some odd cases where devices fall asleep.
On Android, Audio elements keep playing even if you put the device into sleep mode. In sleep mode, JavaScript execution is limited to preserve battery and you can’t rely on requestAnimationFrame
, setInterval
or setTimeout
to fire callbacks. This is a problem since audio sprites rely on JavaScript to keep checking if playback should be stopped. To make matters worse, in some cases the Audio element’s currentTime
doesn’t update though the audio is still playing.
Check out the AudioSprite implementation we used in Chrome Racer as a non-Web Audio fallback.
When we started working on Racer, Chrome for Android did not yet support the Web Audio API. The logic of using HTML Audio for some devices, the Web Audio API for others, combined with the advanced audio output we wanted to achieve made for some interesting challenges. Thankfully, this is all history now. Web Audio API is implemented in Android M28 beta.
touchStart
handler.duration
or setting currentTime
will fail unless your server supports HTTP Byte-Range. Watch out for this one if you’re building an audio sprite like we did.We’ve come a long way since hitting the mute button as the best option to deal with sound for web, but this is only the beginning and web audio is about to rock hard. We’ve only touched the surface of what can be done when it comes to syncing of multiple devices. We didn’t have the processing power in the phones and tablets to dive into signal processing and effects (like reverb), but as device performance increases web based games will take advantage of those features too. These are exciting times to continue pushing the possibilities of sound.
{% endblock %}


{% extends "base.html" %} {% block content %}
Grade
Are you sure you want to delete {{ grade.name }}?


Pmw.ScrolledField() - single line scrollable output field
A scrolled field displays a single line of text. If the text is too wide to display in the megawidget it can be scrolled to the left and right by the user by dragging with the middle mouse button. The text is also selectable by clicking or dragging with the left mouse button.
It can be used instead of a Tkinter.Label widget when displaying text of unknown width such as application status messages.
If None, a label component is not created. The default is None.
class Demo: def __init__(self, parent): # Create and pack the ScrolledField. self._field = Pmw.ScrolledField(parent, entry_width = 30, entry_relief='groove', labelpos = 'n', label_text = 'Scroll the field using the\nmiddle mouse button') self._field.pack(fill = 'x', expand = 1, padx = 10, pady = 10) # Create and pack a button to change the ScrolledField. self._button = Tkinter.Button(parent, text = 'Change field', command = self.execute) self._button.pack(padx = 10, pady = 10) self._index = 0 self.execute() def execute(self): self._field.configure(text = lines[self._index % len(lines)]) self._index = self._index + 1 lines = ( 'Alice was beginning to get very tired of sitting by her sister', 'on the bank, and of having nothing to do: once or twice she had', 'peeped into the book her sister was reading, but it had no', 'pictures or conversations in it, "and what is the use of a book,"', 'thought Alice "without pictures or conversation?"', 'Alice\'s Adventures in Wonderland', 'Lewis Carroll', )
Pmw 1.2 -
5 Aug 2003
- Home
Manual page last reviewed: 23 August 1998


May 31
Therefore we are buried with him by baptism into death: that like as Christ was raised up from the dead by the glory of the Father, even so we also should walk in newness of life.
Romans 6:4
As a believer, you actually have residing in you the same new life God gave Jesus when He raised Him from the dead. The old sinner you once were has died. You've become a new creation on the inside.  But sin, disobedience and living a selfish, carnal life will keep that resurrection life from flowing out. Sin will separate you from the power of God, even though you're born again. Resurrection life will lay dormant in you if you walk in sin.
You can't overcome sin by trying to stop sinning, however. You overcome it by walking after the new life God has put within you; by spending time in the Word and in prayer. As you do that, the Spirit of God will strengthen you and enable you to put that sin under your feet.
 He'll wait on you to take the initiative. Then He will strengthen you to follow through with your decision. He will teach you how to walk in the new life that is in you.
Take the first step today by asking for His help. Say, "Lord, I desire to experience the power to live by this new life every day. By a decision of my heart, I put down the dictates of sin. I declare myself dead to it. In Jesus' Name, I will spend time in prayer and in the Word today. As I do, I believe I'll receive a Holy Ghost refreshing in my life. I believe I'll begin to live out the resurrection power that You've placed in me!"
Scripture Reading: Romans 7:1-6


Package org.lwjgl.opengl
Class ARBVertexAttribBinding
- java.lang.Object
-
- org.lwjgl.opengl.ARBVertexAttribBinding
-
public class ARBVertexAttribBinding extends java.lang.Object
Native bindings to the ARB_vertex_attrib_binding extension.OpenGL currently supports (at least) 16 vertex attributes and 16 vertex buffer bindings, with a fixed mapping between vertex attributes and vertex buffer bindings. This extension allows the application to change the mapping between attributes and bindings, which can make it more efficient to update vertex buffer bindings for interleaved vertex formats where many attributes share the same buffer.
This extension also separates the vertex binding update from the vertex attribute format update, which saves applications the effort of redundantly specifying the same format state over and over.
Conceptually, this extension splits the state for generic vertex attribute arrays into:
- An array of vertex buffer binding points, each of which specifies:
- a bound buffer object
- a starting offset for the vertex attribute data in that buffer object
- a stride used by all attributes using that binding point, and
- a frequency divisor used by all attributes using that binding point.
- An array of generic vertex attribute format information records, each of which specifies:
- a reference to one of the new buffer binding points above
- a component count and format, and a normalization flag for the attribute data, and
- the offset of the attribute data relative to the base offset of each vertex found at the associated binding point.
Promoted to core in
OpenGL 4.3
. - An array of vertex buffer binding points, each of which specifies:
-
-
Field Summary
Fields Modifier and Type Field and Description static int
GL_MAX_VERTEX_ATTRIB_BINDINGS
GL_MAX_VERTEX_ATTRIB_RELATIVE_OFFSETAccepted by thepname
parameter of GetIntegerv, ....static int
GL_VERTEX_ATTRIB_BINDING
GL_VERTEX_ATTRIB_RELATIVE_OFFSETAccepted by thepname
parameter of GetVertexAttrib*v.static int
GL_VERTEX_BINDING_BUFFER
GL_VERTEX_BINDING_DIVISOR
GL_VERTEX_BINDING_OFFSET
GL_VERTEX_BINDING_STRIDEAccepted by thetarget
parameter of GetBooleani_v, GetIntegeri_v, GetFloati_v, GetDoublei_v, and GetInteger64i_v.
-
Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method and Description static void
glBindVertexBuffer(int bindingindex, int buffer, long offset, int stride)
Binds a buffer to a vertex buffer bind point.static void
glVertexArrayBindVertexBufferEXT(int vaobj, int bindingindex, int buffer, long offset, int stride)
DSA version ofBindVertexBuffer
.static void
glVertexArrayVertexAttribBindingEXT(int vaobj, int attribindex, int bindingindex)
DSA version ofVertexAttribBinding
.static void
glVertexArrayVertexAttribFormatEXT(int vaobj, int attribindex, int size, int type, boolean normalized, int relativeoffset)
DSA version ofVertexAttribFormat
.static void
glVertexArrayVertexAttribIFormatEXT(int vaobj, int attribindex, int size, int type, int relativeoffset)
DSA version ofVertexAttribIFormat
.static void
glVertexArrayVertexAttribLFormatEXT(int vaobj, int attribindex, int size, int type, int relativeoffset)
DSA version ofVertexAttribLFormat
.static void
glVertexArrayVertexBindingDivisorEXT(int vaobj, int bindingindex, int divisor)
DSA version ofVertexBindingDivisor
.static void
glVertexAttribBinding(int attribindex, int bindingindex)
Associate a vertex attribute and a vertex buffer binding.static void
glVertexAttribFormat(int attribindex, int size, int type, boolean normalized, int relativeoffset)
Specifies the organization of data in vertex arrays.static void
glVertexAttribIFormat(int attribindex, int size, int type, int relativeoffset)
Specifies the organization of pure integer data in vertex arrays.static void
glVertexAttribLFormat(int attribindex, int size, int type, int relativeoffset)
Specifies the organization of 64-bit double data in vertex arrays.static void
glVertexBindingDivisor(int bindingindex, int divisor)
Modifies the rate at which generic vertex attributes advance during instanced rendering.
-
-
-
Field Detail
-
GL_VERTEX_ATTRIB_BINDING
public static final int GL_VERTEX_ATTRIB_BINDING
Accepted by thepname
parameter of GetVertexAttrib*v.- See Also:
- Constant Field Values
-
GL_VERTEX_ATTRIB_RELATIVE_OFFSET
public static final int GL_VERTEX_ATTRIB_RELATIVE_OFFSET
Accepted by thepname
parameter of GetVertexAttrib*v.- See Also:
- Constant Field Values
-
GL_VERTEX_BINDING_DIVISOR
public static final int GL_VERTEX_BINDING_DIVISOR
Accepted by thetarget
parameter of GetBooleani_v, GetIntegeri_v, GetFloati_v, GetDoublei_v, and GetInteger64i_v.- See Also:
- Constant Field Values
-
GL_VERTEX_BINDING_OFFSET
public static final int GL_VERTEX_BINDING_OFFSET
Accepted by thetarget
parameter of GetBooleani_v, GetIntegeri_v, GetFloati_v, GetDoublei_v, and GetInteger64i_v.- See Also:
- Constant Field Values
-
GL_VERTEX_BINDING_STRIDE
public static final int GL_VERTEX_BINDING_STRIDE
Accepted by thetarget
parameter of GetBooleani_v, GetIntegeri_v, GetFloati_v, GetDoublei_v, and GetInteger64i_v.- See Also:
- Constant Field Values
-
GL_VERTEX_BINDING_BUFFER
public static final int GL_VERTEX_BINDING_BUFFER
Accepted by thetarget
parameter of GetBooleani_v, GetIntegeri_v, GetFloati_v, GetDoublei_v, and GetInteger64i_v.- See Also:
- Constant Field Values
-
GL_MAX_VERTEX_ATTRIB_RELATIVE_OFFSET
public static final int GL_MAX_VERTEX_ATTRIB_RELATIVE_OFFSET
Accepted by thepname
parameter of GetIntegerv, ....- See Also:
- Constant Field Values
-
GL_MAX_VERTEX_ATTRIB_BINDINGS
public static final int GL_MAX_VERTEX_ATTRIB_BINDINGS
Accepted by thepname
parameter of GetIntegerv, ....- See Also:
- Constant Field Values
-
-
Method Detail
-
glBindVertexBuffer
public static void glBindVertexBuffer(int bindingindex, int buffer, long offset, int stride)
Binds a buffer to a vertex buffer bind point.- Parameters:
bindingindex
- the index of the vertex buffer binding point to which to bind the bufferbuffer
- the name of an existing buffer to bind to the vertex buffer binding pointoffset
- the offset of the first element of the bufferstride
- the distance between elements within the buffer
-
glVertexAttribFormat
public static void glVertexAttribFormat(int attribindex, int size, int type, boolean normalized, int relativeoffset)
Specifies the organization of data in vertex arrays.- Parameters:
attribindex
- the generic vertex attribute array being describedsize
- the number of values per vertex that are stored in the array. One of:1 2 3 4 BGRA
type
- the type of the data stored in the arraynormalized
- if true then integer data is normalized to the range [-1, 1] or [0, 1] if it is signed or unsigned, respectively. If false then integer data is directly converted to floating point.relativeoffset
- the offset, measured in basic machine units of the first element relative to the start of the vertex buffer binding this attribute fetches from
-
glVertexAttribIFormat
public static void glVertexAttribIFormat(int attribindex, int size, int type, int relativeoffset)
Specifies the organization of pure integer data in vertex arrays.- Parameters:
attribindex
- the generic vertex attribute array being describedsize
- the number of values per vertex that are stored in the array. One of:1 2 3 4 BGRA
type
- the type of the data stored in the arrayrelativeoffset
- the offset, measured in basic machine units of the first element relative to the start of the vertex buffer binding this attribute fetches from
-
glVertexAttribLFormat
public static void glVertexAttribLFormat(int attribindex, int size, int type, int relativeoffset)
Specifies the organization of 64-bit double data in vertex arrays.- Parameters:
attribindex
- the generic vertex attribute array being describedsize
- the number of values per vertex that are stored in the array. One of:1 2 3 4 BGRA
type
- the type of the data stored in the arrayrelativeoffset
- the offset, measured in basic machine units of the first element relative to the start of the vertex buffer binding this attribute fetches from
-
glVertexAttribBinding
public static void glVertexAttribBinding(int attribindex, int bindingindex)
Associate a vertex attribute and a vertex buffer binding.- Parameters:
attribindex
- the index of the attribute to associate with a vertex buffer bindingbindingindex
- the index of the vertex buffer binding with which to associate the generic vertex attribute
-
glVertexBindingDivisor
public static void glVertexBindingDivisor(int bindingindex, int divisor)
Modifies the rate at which generic vertex attributes advance during instanced rendering.- Parameters:
bindingindex
- the index of the generic vertex attributedivisor
- the number of instances that will pass between updates of the generic attribute at slotindex
-
glVertexArrayBindVertexBufferEXT
public static void glVertexArrayBindVertexBufferEXT(int vaobj, int bindingindex, int buffer, long offset, int stride)
DSA version ofBindVertexBuffer
.- Parameters:
vaobj
- the vertex array objectbindingindex
- the index of the vertex buffer binding point to which to bind the bufferbuffer
- the name of an existing buffer to bind to the vertex buffer binding pointoffset
- the offset of the first element of the bufferstride
- the distance between elements within the buffer
-
glVertexArrayVertexAttribFormatEXT
public static void glVertexArrayVertexAttribFormatEXT(int vaobj, int attribindex, int size, int type, boolean normalized, int relativeoffset)
DSA version ofVertexAttribFormat
.- Parameters:
vaobj
- the vertex array objectattribindex
- the generic vertex attribute array being describedsize
- the number of values per vertex that are stored in the array. One of:1 2 3 4 BGRA
type
- the type of the data stored in the arraynormalized
- if true then integer data is normalized to the range [-1, 1] or [0, 1] if it is signed or unsigned, respectively. If false then integer data is directly converted to floating point.relativeoffset
- the offset, measured in basic machine units of the first element relative to the start of the vertex buffer binding this attribute fetches from
-
glVertexArrayVertexAttribIFormatEXT
public static void glVertexArrayVertexAttribIFormatEXT(int vaobj, int attribindex, int size, int type, int relativeoffset)
DSA version ofVertexAttribIFormat
.- Parameters:
vaobj
- the vertex array objectattribindex
- the generic vertex attribute array being describedsize
- the number of values per vertex that are stored in the array. One of:1 2 3 4 BGRA
type
- the type of the data stored in the arrayrelativeoffset
- the offset, measured in basic machine units of the first element relative to the start of the vertex buffer binding this attribute fetches from
-
glVertexArrayVertexAttribLFormatEXT
public static void glVertexArrayVertexAttribLFormatEXT(int vaobj, int attribindex, int size, int type, int relativeoffset)
DSA version ofVertexAttribLFormat
.- Parameters:
vaobj
- the vertex array objectattribindex
- the generic vertex attribute array being describedsize
- the number of values per vertex that are stored in the array. One of:1 2 3 4 BGRA
type
- the type of the data stored in the arrayrelativeoffset
- the offset, measured in basic machine units of the first element relative to the start of the vertex buffer binding this attribute fetches from
-
glVertexArrayVertexAttribBindingEXT
public static void glVertexArrayVertexAttribBindingEXT(int vaobj, int attribindex, int bindingindex)
DSA version ofVertexAttribBinding
.- Parameters:
vaobj
- the vertex array objectattribindex
- the index of the attribute to associate with a vertex buffer bindingbindingindex
- the index of the vertex buffer binding with which to associate the generic vertex attribute
-
glVertexArrayVertexBindingDivisorEXT
public static void glVertexArrayVertexBindingDivisorEXT(int vaobj, int bindingindex, int divisor)
DSA version ofVertexBindingDivisor
.- Parameters:
vaobj
- the vertex array objectbindingindex
- the index of the generic vertex attributedivisor
- the number of instances that will pass between updates of the generic attribute at slotindex
-
-


--
particles
Calculator
Tim Allen Functionality
First of it's kind
0
AC
CE
/
*
7
8
9
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4
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1
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0
=
Tim-Allen


.NET wrapper for the TrueVault API
TrueVault is a Secure API to store health data. See their website at https://www.truevault.com for more information.
This library is a simple, strongly-typed .NET wrapper around TrueVault's RESTful API.
Install via NuGet Install-Package TrueVault.Net
or clone the repository, make sure NuGet packages are restored, and compile.
- ServiceStack.Text 3.9.71
- AutoMapper 3.2.1
- NBuilder <IP_ADDRESS>
- NUnit 2.6.3
Create a new instance of the TrueVault client, passing in your TrueVault API key, and you're ready to go!
csharp
var trueVaultClient = new TrueVaultClient("{TrueVault API Key}");
This library automatically handles Base64 conversion and serialization. You only need to pass an instance of Type T
to save it to TrueVault. T
can be any class with a parameterless constructor.
A document can be created with or without the optional schemaId
parameter via the appropriate overloaded CreateDocument<T>
method.
GetDocument<T>
is used to retrieve a single document from TrueVault, and will directly return an instance of Type T
. Base64 conversion and deserialization is handled for you.
MultiGetDocuments<T>
retrieves a MultiDocumentResponse
, which contains a list of DocumentResponse
in its Documents
property. You can use the DeserializeDocuments<T>
method to extract and return the wrapped document instances as Type T
.
Each DocumentResponse
exposes a DeserializeDocument<T>
method, which extracts and returns the individual document as Type T
. DocumentResponse
contains the TrueVault document ID in its Id
property, as well as the raw serialized Base64 encoded JSON string in its Document
property.
GetDocumentList
retrieves a DocumentGetListResponse
, which contains a Data
property, which in turn contains info about the request, and List<DocumentGetListItem>
in its Items
property. You can use the DeserializeDocuments<T>
method to extract and return the wrapped document instances as Type T
.
Each DocumentGetListItem
exposes a DeserializeDocument<T>
method, which extracts and returns the individual document as Type T
. DocumentGetListItem
contains the TrueVault document ID in its Id
property, the TrueVault Schema ID the document was indexed under (if any) in its SchemaId
property, the TrueVault Vault ID in its VaultId
property, and the raw serialized Base64 encoded JSON string in its Document
property.
Create a new instance of Schema
or Schema<T>
.
You can pass new instances of SchemaField
via the Schema
/Schema<T>
constructor, or simply add them to the Fields
List after construction. Check the Intellisense notes for further details about the various properties.
Schema<T>
is derived from Schema
, but it isn't necessary to use this generic version. It simply adds a convenience method, RegisterNestedField<TNested>
, which accepts fieldExpression
, which is a MemberExpression
pointing to a complex property on T
, and nestedFieldExpression
, which is a MemberExpression
pointing to a primitive property on TNested
. This method will also attempt to determine the TrueVault Schema compatible type of the property on TNested
. See the Intellisense notes and Unit Tests for further details.
When your Schema
is ready, call TrueVaultClient.CreateSchema
to save it, which will return a SchemaSaveSuccessResponse
, containing a Schema
property that should be the same as the Schema
you saved.
Call TrueVaultClient.GetSchema
and TrueVaultClient.GetSchemaList
to get one or all Schema
s, respectively. The responses will contain a Schema
or IEnumerable<Schema>
, respectively.
When the library catches a WebException
, it will make an attempt to parse and unwrap the error
object in an error response from TrueVault. It will throw a new WebException
with the original exception in the InnerException
property, and a message formatted as follows, where response
is the error response body returned by TrueVault.
TrueVault Transaction ID {response.transaction_id} - {HTTP Status Code} Error (Type: {response.error.type}) [Code: {response.error.code}]: {response.error.message}
Update App.config in the TrueVault.Net.Test project with the values you wish to use for testing. Please note that the tests use the TrueVault API, so you may incur a small amount of usage by running them. Per the license, you agree that I cannot be held responsible for any usage charges, fees, overages, etc. you may incur by running the tests.
Pull requests are welcome. If you're planning on adding a major feature, please contact me first to make sure it fits with the direction of the library, and that I'm not already working on it!
This library is made available under The MIT License. By using this library, you agree to the terms of that license.


New vivo S1 Pro unveiled with 48MP quad cam on the back, sAMOLED display on the front
by PeterA bit ahead of schedule, vivo unveiled the S1 Pro in the Philippines and in a move that is sure to cause much confusion, the phone has little in common with the first vivo S1 Pro. So, forget pop-up selfie cam, instead we’re looking at something closer (but not identical) to the vivo S5, at least on the outside.
This new vivo S1 Pro will have a 6.38” Super AMOLED display with 1080p+ resolution and a teardrop notch. It houses a 32MP selfie camera, there’s also an in-display fingerprint reader on the front.
Around the back, the 48MP main camera (1/2” GM1 sensor, f/1.8 aperture) is joined by an 8MP ultrawide angle shooter (108°). A dedicated 2MP macro camera (4cm focus distance) and a 2MP depth sensor bring the total camera count to four. The quartet will be placed on a diamond-shaped camera island, just like on the S5.
This model will be powered by a Snapdragon 665 chipset, weaker than both the original S1 Pro (Snapdragon 675) and the S5 (Snapdragon 712). The phone will be configured with 8GB of RAM and 128GB storage and will run Funtouch OS 9.2 out of the box (based on Android 9 Pie).
On the plus side, it will have a larger battery than both – 4,500mAh capacity. The USB-C port supports fast charging at 18W (9V and 2A). There’s also a 3.5mm headphone jack on top.
The vivo S1 Pro should be available for pre-order in the Philippines soon, it costs PHP 16,000 (that’s around $315). It comes in Fancy Sky (a mostly-white phone with a rainbow effect) and Knight Black (more subtle, but still has a slight gradient to it).
We don't know what other markets will receive the new S1 Pro, but chances are that they won't overlap with the other S1 Pro.


| ifsogui.imagebutton: | Types | Modinfo | Source |
| ifsoGUI_ImageButton | Button Type. |
| Type ifsoGUI_ImageButton Extends ifsoGUI_Button | |
| Description | Button Type. |
| Methods Summary | |
|---|---|
| Draw | Draws the button gadget. |
| GetShowButton | Returns whether or not the button will show. |
| GetShowLabel | Returns whether or not the button label will show. |
| Refresh | Refreshes the gadget. |
| SetImages | Sets the images that will appear. |
| SetShowButton | Sets whether or not the button will show. |
| SetShowLabel | Sets whether or not the button label will show. |
| Functions Summary | |
|---|---|
| Create | Create and returns a button gadget. |
| LoadTheme | Called to load the graphics when a new theme is loaded. |
| SystemEvent | GUI system event occured. |
| Method Draw(parX:Int, parY:Int, parW:Int, parH:Int) | |
| Description | Draws the button gadget. |
| Information | Internal function should not be called by the user. |
| Method GetShowButton:Int() | |
| Description | Returns whether or not the button will show. |
| Method GetShowLabel:Int() | |
| Description | Returns whether or not the button label will show. |
| Method Refresh() | |
| Description | Refreshes the gadget. |
| Information | Recalculates any geometry/font changes, etc. Internal function should not be called by the user. |
| Method SetImages(imgNormal:TImage, imgOver:TImage = Null, imgDown:TImage = Null) | |
| Description | Sets the images that will appear. |
| Method SetShowButton(bShowButton:Int) | |
| Description | Sets whether or not the button will show. |
| Method SetShowLabel(bShowLabel:Int) | |
| Description | Sets whether or not the button label will show. |
| Function Create:ifsoGUI_ImageButton(iX:Int, iY:Int, iW:Int, iH:Int, strName:String, strLabel:String) | |
| Description | Create and returns a button gadget. |
| Function LoadTheme() | |
| Description | Called to load the graphics when a new theme is loaded. |
| Information | A GadgetSystemEvent is then sent out to all gadgets. Internal function should not be called by the user. |
| Function SystemEvent(id:Int, data:Int) | |
| Description | GUI system event occured. |
| Information | Internal function should not be called by the user. |
| Version | 1.00 |
|---|---|
| Author | Marcus Trisdale |
| Copyright | (c) 2009 Marcus Trisdale |


--- permalink: /slides/lecture13.html ---
4yo child is one thing but we need to explain how Megaphragma mymaripenne can fly and navigate with a brain of only 7400 neurons. Each neuron must be doing much more (1000x) than our Perceptron model explains. pic.twitter.com/xNPq0RAgPj— Mark Sugrue (@marksugruek) 15 de diciembre de 2019
4yo child is one thing but we need to explain how Megaphragma mymaripenne can fly and navigate with a brain of only 7400 neurons. Each neuron must be doing much more (1000x) than our Perceptron model explains. pic.twitter.com/xNPq0RAgPj


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Acerinox currently enjoys an incredible financial strength. It is one if not the best VALUE company of the IBEX35 , with impressive benefits. It has some diversification since it has a plant in the United States. It also behaves like one of the best in its sector. Acerinox is dedicated as its name well indicates to steel. It is a steel manufacturing company that, when there is a good industrial cycle, where mining companies pick up due to the increase in the price of raw materials.
Because steel is produced mainly with iron when there is a lot of demand, it rises and steel prices go up a lot. But being steel and with enough product made when it falls does not receive the punishment that can be received by other mining companies or steel mills being a good defensive value. Also as its other fundamental mineral is nickel is very correlated with the price of this metal.
If we make history we will see as of 2010 there is an excessive demand of raw materials for the boom in China and the unremitting consumption of this metal. Despite the high demand in 2014 due to the 10% drop in Chinese consumption, metals would fall a lot and would be cut short to all the steel and mining sector. The miners and therefore many values in China would fall more than 50%. The Chinese sector would begin to drag the entire world economy, being the first time in history that this happened.
From then on, the mining sector would suffer a turning point. After a fall for a year followed all the indicators point to a rebound and a change of cycle in the sector. In 2016, it would begin to rise slowly to just before the elections, given the promises of the two opponents to encourage spending on infrastructure, a race would occur. Hillary promised 500 million dollars and Trump 1,000 million plus a real promise to help the national industrial sector.
After Trump's victory all the mining companies would start to rise a lot. The metal that best indicates the changes of cycles is copper, and after leaving the minimum of 2000 points, falling in 3 years from 4000 after the Chinese crisis, it would recover in 3 years the 3,000 points.
After that rise that would end shortly before the elections in France, it would correct and it would be forming a lateral channel until nowadays very marked, with a difference between maximums and minimums less than 10%. It is noteworthy that when the nickel has suffered from lower demand Acerinox regardless of what the IBEX35 did corrected strongly.
Here I present the data of fundamentals that I think are most important:
| ### | 2014 | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|
| Deuda/ Caja empresa | Total Debt (M) | 616 | 711 | 657 | 622 | 552 |
| Beneficio/valor acción | |||||
| Capitalización(M) | 4.380 | 4.221 | 3.966 | 4.654 | 4.858 |
| EBDITA (M) | 448 | 286 | 322 | 500 | 546 |
| PER | 22,81 | 77 | 47,38 | 16,65 | 15,02 |
| Net Benefit (M) | - | 42,95 | 80 | 234,14 | 254,24 |
| Dividend | 124 | 124 | 124 | 124 | 124 |
| Profitability per share | 3,65% | 1,91% | |||
| Debt/EBDITA | 1,37 | 2,48 | 2,04 | 1,25 | 0,95 |
If we look at the table we will see how it owns a large debt and if we do a count with the old data using the net profit of the company we can draw the conclusion that the company could not get rid of the accumulated debt in about 15 years. This is enough but being aware of the investments in projects that have been carried out in 2016 that debt could be solved in considerably less. In 2015, the debt was reduced by 2000 million compared to 2014, thanks in part to the sale of assets such as Testa for 1,800 million. With the aforementioned new contracts, the debt could be eliminated in a few years and have a fairly sustained growth, being fundamentally a very attractive company at the price quoted and knowing the current capitalization.
The table shows how in 2015 it was the year with a lower capitalization below the 1 billion mark, which caused it to descend from the IBEX35 to the Continuous market, where it continues today. Even so the previous years had accumulated a very bulky debt with possible bankruptcy risk if things were not done well and the market instead of penalizing raised the price with great speculation.
Firstly, I will show a long-term chart showing how the rise that started after the rebound of 2012 would continue, reaching 12,000 points in 2014 and how it would correct up to 8,000 points after the oil crisis in early 2016. From there he would resume his quotation reaching 12 euros per share. Knowing that Acerinox distributes a dividend of 3% to 5% each year, it can be seen that over the years this company has an annual growth rate of 5%, which is a very good figure .
In the graph of Accumulation Distribution you can see how when the stockings have crossed, the quote has changed direction , many times as those shown upwards simple corrections but sometimes have presaged falls in the value as at the beginning of 2015. In fact I bought shares in May 2015 thinking that it was a simple correction and I did not put STOP because I did not have the knowledge that I have now. As much as the fundamentals are good the technician is not usually wrong. The most important thing in the graph is the inclusion of the Nickel index correlated with the value . Looking at the graph you can see how was already notified 3 months before the correction that something was not right .
If we go to a medium-term chart we can see how a side channel was formed with support for Trump's election date and has not lost since then. In figures the support is at € 10.5. This value is quite representative and if we look at the nickel index it has risen since then and has not moved to the value. Being the resistance that presents above € 12.5 quite leathery. Indicating that there is someone who wants to get rid of stocks little by little and that there is no buyer interest, since this company is more for conservative savings because of its beta of minimum variability.
If we want to complete the portfolio with a super defensive value that yields 5% annual returns this is our value . Acerinox has managed to weather many crises in a formidable way and has some very good managers for the shareholder, many of whom want to buy these shares. Therefore to return to € 10.5 or approaching would be a good time to enter. Now we are close to the resistance that could beat it and if it does it will rise with strength being also a good time to position itself. If you start backing wait to buy down.
© 2016 - All Rights Reserved - Diseñada por Sergio López Martínez
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Spindle neurons (SNs) or von Economo neurons (VENs) differ from ordinary neurons in a couple of ways:
Structure : They are structurally different, and are usually much longer that tapers into a single axon (output) and have only a single dentrite (input) as opposed to ordinary neurons which usually have many dendtrites.
Abundance : They are present in specific regions of large mammalian brains and only a few recorded species have them, they represent an adaptation to larger brains, especially for the function of transmitting information faster.
In machine learning, a neuron, or a classifier unit is modelled by having multiple inputs and a single output - similar to neurons in biology.
Likewise, we are going to attempt to create a neuron, that has a single input and a single output - similar to spindle neurons in biology, however it will also carry it’s characteristic fast information transfer with lower information entropy.
Artificial Neuron
\[ p(y = 1 | x) = \sigma(w^{T} X) \]
Artificial Spindle Neuron
\[ \psi (\sigma(w^{T} X), \ \beta, \ \delta) = \sigma \cdot\ln{(\delta \beta)} \]
Where:
\(\psi\) represents the spindle neuron function
\(\sigma(z)\) represents the output from a neuron, specifically \(p(y = 1 | x)\), i.e. the probability of \(y = 1\) given \(x\)
\(\delta\) represents the difference in momentum, or required velocity of information transfer, i.e. it is a function of inverse entropy \((\epsilon^{-1})\).
In other words, we must transform the information \(\sigma\) that we wish to transfer by the inverse entropy function \(\delta\), such that the information that \(\sigma\) holds remains relevant to the network as a whole, which we will keep track of using a parameter \(\beta\), as a measure of relevancy decay.
\[ \beta = \alpha \epsilon^{-1} \]
Where:
\(\beta\) = decayed relevancy
\(\alpha\) = learning rate
\(\epsilon\) = information entropy
\[ \Delta = \delta\beta = \delta \alpha \epsilon^{-1} \]
Where:
\(\delta\) is the relative discrete distance from neuron A to neuron B
\(\delta\), multiplied by \(\beta\) \((\alpha \epsilon^{-1})\).
\[ \psi (\sigma(z), \ \beta, \ \delta) = |\sigma(w^T X)| \cdot \ln{(\delta \alpha \epsilon^{-1})} \]
psi_function = function(alpha, epsilon, delta, sigma) {
psi = abs(sigma)*log2(delta*(alpha)*(epsilon^-1))
return(psi)
}
psi_function(alpha = c(0.01, 0.1, 1.0, 10.0, 100), # learning rates
epsilon = 0.30, # information entropy, % of information loss
delta = 7, # 7 Networks to pass through
sigma = 0.75)# probability
## [1] -1.5746518 0.9167943 3.4082404 5.8996865 8.3911325
Objectives :
Where \(\psi \in \mathbb{Z}\)…
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