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RT @Loh: Always wanted to travel back in time to try fighting a younger version of yourself? Software development is the career for you!
12/15/2013, 11:52:01 AM
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RT @Loh: Always wanted to travel back in time to try fighting a younger version of yourself? Software development is the career for you!
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--- layout: post title: Starting on soft decks this week date: '2015-07-19T21:41:00.001-06:00' author: Jacob . tags: - front-page modified_time: '2015-07-19T21:42:28.131-06:00' blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-2101954885089124011 blogger_orig_url: http://www.svlark.com/2015/07/starting-on-soft-decks-this-week.html --- I'm going to start taking some concrete steps on this soft deck issue shortly. April and the girls will be off of Lark for the next 4 weeks so I'm going to attempt to get the cockpit floor done in that time.


--- layout: work permalink: /work title: Work require: ['nav-bar'] --- My primary stack of technologies:


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Alpha stage comes after discovery, lasts around 8 weeks and during this phase we will:
- build prototypes of the service
- test prototypes with real users
- test hypothesis and assumptions
- determine if the service can be technically built
Start Alpha with an inception workshop. This should:
- describe what the service is
- describe what the service does
- define who the users of the service are
- confirm what user needs are being met
- set clear goals for alpha
- identify risks to be mitigated
- set a vision for what done will look like
- outline how legacy services/process will be decommissioned or integrated
- a backlog for iteration 1
- set up show and tell and a retrospective for the end of iteration 1
By the end of alpha, we should:
- know whether to move into beta
- know what needs to be built in the beta phase
- have a set of user stories based on journey, not features
- have a plan for the beta phase and the start of a plan for live
- have defined how to measure the success of the service through metrics
- have a plan to decommission legacy services or processes
- have a completed accessibility audit
-
have a plan for assisted digital
An alpha assessment should also be completed before moving to beta.


Bayesian Optimization¶
-
class
edbo.bro.
BO
(results_path=None, results=Empty DataFrame Columns: [] Index: [], domain_path=None, domain=Empty DataFrame Columns: [] Index: [], exindex_path=None, exindex=Empty DataFrame Columns: [] Index: [], model=<class 'edbo.models.GP_Model'>, acquisition_function='EI', init_method='rand', target=-1, batch_size=5, duplicate_experiments=False, gpu=False, fast_comp=False, noise_constraint=1e-05, matern_nu=2.5, lengthscale_prior=[GammaPrior(), 5.0], outputscale_prior=[GammaPrior(), 8.0], noise_prior=[GammaPrior(), 1.0], computational_objective=None)¶ Main method for calling Bayesian optimization algorithm.
Class provides a unified framework for selecting experimental conditions for the parallel optimization of chemical reactions and for the simulation of known objectives. The algorithm is implemented on a user defined grid of domain points and is flexible to any numerical encoding.
-
__init__
(results_path=None, results=Empty DataFrame Columns: [] Index: [], domain_path=None, domain=Empty DataFrame Columns: [] Index: [], exindex_path=None, exindex=Empty DataFrame Columns: [] Index: [], model=<class 'edbo.models.GP_Model'>, acquisition_function='EI', init_method='rand', target=-1, batch_size=5, duplicate_experiments=False, gpu=False, fast_comp=False, noise_constraint=1e-05, matern_nu=2.5, lengthscale_prior=[GammaPrior(), 5.0], outputscale_prior=[GammaPrior(), 8.0], noise_prior=[GammaPrior(), 1.0], computational_objective=None)¶ Experimental results, experimental domain, and experiment index of known results can be passed as paths to .csv or .xlsx files or as DataFrames.
- Parameters
results_path (str, optional) – Path to experimental results.
results (pandas.DataFrame, optional) – Experimental results with X values matching the domain.
domain_path (str, optional) –
Path to experimental domain.
Note
A domain_path or domain are required.
domain (pandas.DataFrame, optional) – Experimental domain specified as a matrix of possible configurations.
exindex_path (str, optional) – Path to experiment results index if available.
exindex (pandas.DataFrame, optional) – Experiment results index matching domain format. Used as lookup table for simulations.
model (edbo.models) – Surrogate model object used for Bayesian optimization. See edbo.models for predefined models and specification of custom models.
acquisition_function (str) – Acquisition function used for for selecting a batch of domain points to evaluate. Options: (TS) Thompson Sampling, (‘EI’) Expected Improvement, (PI) Probability of Improvement, (UCB) Upper Confidence Bound, (EI-TS) EI (first choice) + TS (n-1 choices), (PI-TS) PI (first choice) + TS (n-1 choices), (UCB-TS) UCB (first choice) + TS (n-1 choices), (MeanMax-TS) Mean maximization (first choice) + TS (n-1 choices), (VarMax-TS) Variance maximization (first choice) + TS (n-1 choices), (MeanMax) Top predicted values, (VarMax) Variance maximization, (rand) Random selection.
init_method (str) – Strategy for selecting initial points for evaluation. Options: (rand) Random selection, (pam) k-medoids algorithm, (kmeans) k-means algorithm, (external) User define external data read in as results.
target (str) – Column label of optimization objective. If set to -1, the last column of the DataFrame will be set as the target.
batch_size (int) – Number of experiments selected via acquisition and initialization functions.
duplicate_experiments (bool) – Allow the acquisition function to select experiments already present in results.
gpu (bool) – Carry out GPyTorch computations on a GPU if available.
fast_comp (bool) – Enable fast computation features for GPyTorch models.
noise_constraint (float) – Noise constraint for GPyTorch models.
matern_nu (0.5, 1.5, 2.5) – Parameter value for model Matern kernel.
lengthscale_prior ([gytorch.prior, initial_value]) – Specify a prior over GP length scale prameters.
outputscale_prior ([gytorch.prior, initial_value]) – Specify a prior over GP output scale prameter.
noise_prior ([gytorch.prior, initial_value]) – Specify a prior over GP noice prameter.
computational_objective (function, optional) – Function to be optimized for computational objectives.
-
init_sample
(seed=None, append=False, export_path=None)¶ Generate initial samples via an initialization method.
- Parameters
seed (None, int) – Random seed used for selecting initial points.
append (bool) – Append points to results if computational objective or experiment index are available.
export_path (str) – Path to export SVG of clustering results if pam or kmeans methods are used for selecting initial points.
- Returns
Domain points for proposed experiments.
- Return type
pandas.DataFrame
-
run
(append=False, n_restarts=0, learning_rate=0.1, training_iters=100)¶ Run a single iteration of optimization with known results.
Note
Use run for human-in-the-loop optimization.
- Parameters
append (bool) – Append points to results if computational objective or experiment index are available.
n_restarts (int) – Number of restarts used when optimizing GPyTorch model parameters.
learning_rate (float) – ADAM learning rate used when optimizing GPyTorch model parameters.
training_iters (int) – Number of iterations to run ADAM when optimizin GPyTorch models parameters.
- Returns
Domain points for proposed experiments.
- Return type
pandas.DataFrame
-
simulate
(iterations=1, seed=None, update_priors=False, n_restarts=0, learning_rate=0.1, training_iters=100)¶ Run autonomous BO loop.
Run N iterations of optimization with initial results obtained via initialization method and experiments selected from experiment index via the acquisition function. Simulations require know objectives via an index of results or function.
Note
Requires a computational objective or experiment index.
- Parameters
append (bool) – Append points to results if computational objective or experiment index are available.
n_restarts (int) – Number of restarts used when optimizing GPyTorch model parameters.
learning_rate (float) – ADAM learning rate used when optimizing GPyTorch model parameters.
training_iters (int) – Number of iterations to run ADAM when optimizin GPyTorch models parameters.
seed (None, int) – Random seed used for initialization.
update_priors (bool) – Use parameter estimates from optimization step N-1 as initial values for step N.
-
clear_results
()¶ Clear results manually.
Note
‘rand’ and ‘pam’ initialization methods clear results automatically.
-
plot_convergence
(export_path=None)¶ Plot optimizer convergence.
- Parameters
export_path (None, str) – Path to export SVG of optimizer optimizer convergence plot.
- Returns
Plot of optimizer convergence.
- Return type
matplotlib.pyplot
-
acquisition_summary
()¶ Summarize predicted mean and variance for porposed points.
- Returns
Summary table.
- Return type
pandas.DataFrame
-
best
()¶ Best observed objective values and corresponding domain point.
-
save
(path='BO.pkl')¶ Save BO state.
- Parameters
path (str) – Path to export <BO state dict>.pkl.
- Returns
- Return type
None
-
load
(path='BO.pkl')¶ Load BO state.
- Parameters
path (str) – Path to <BO state dict>.pkl.
- Returns
- Return type
None
-
-
class
edbo.bro.
BO_express
(reaction_components={}, encoding={}, model=<class 'edbo.models.GP_Model'>, acquisition_function='EI', init_method='rand', target=-1, batch_size=5, computational_objective=None)¶ Quick method for auto-generating a reaction space, encoding, and BO.
Class provides a unified framework for defining reaction spaces, encoding reacitons, selecting experimental conditions for the parallel optimization of chemical reactions, and analyzing results.
BO_express automates most of the process required for BO such as the featurization of the reaction space, preprocessing of data and selection of gaussian process priors.
Reaction components and encodings are passed to BO_express using dictionaries. BO_express attempts to encode each component based on the specified encoding. If there is an error in a SMILES string or the name could not be found in the NIH database an edbo bot is spawned to help resolve the issue. Once instantiated, BO_express.help() will also spawn an edbo bot to help with tasks.
Example
Defining a reaction space
from edbo.bro import BO_express # (1) Define a dictionary of components reaction_components={ 'aryl_halide':['chlorobenzene','iodobenzene','bromobenzene'], 'base':['DBU', 'MTBD', 'potassium carbonate', 'potassium phosphate'], 'solvent':['THF', 'Toluene', 'DMSO', 'DMAc'], 'ligand': ['c1ccc(cc1)P(c2ccccc2)c3ccccc3', # PPh3 'C1CCC(CC1)P(C2CCCCC2)C3CCCCC3', # PCy3 'CC(C)c1cc(C(C)C)c(c(c1)C(C)C)c2ccccc2P(C3CCCCC3)C4CCCCC4' # X-Phos ], 'concentration':[0.1, 0.2, 0.3], 'temperature': [20, 30, 40]} # (2) Define a dictionary of desired encodings encoding={'aryl_halide':'resolve', 'base':'ohe', 'solvent':'resolve', 'ligand':'smiles', 'concentration':'numeric', 'temperature':'numeric'} # (3) Instatiate BO_express bo = BO_express(reaction_components=reaction_components, encoding=encoding, batch_size=10, acquisition_function='TS', target='yield')
-
__init__
(reaction_components={}, encoding={}, model=<class 'edbo.models.GP_Model'>, acquisition_function='EI', init_method='rand', target=-1, batch_size=5, computational_objective=None)¶ - Parameters
reaction_components (dict) –
Dictionary of reaction components of the form:
Example
Defining reaction components
{'A': [a1, a2, a3, ...], 'B': [b1, b2, b3, ...], 'C': [c1, c2, c3, ...], . 'N': [n1, n2, n3, ...]}
Components can be specified as: (1) arbitrary names, (2) chemical names or nicknames, (3) SMILES strings, or (4) numeric values.
encodings (dict) –
Dictionary of encodings with keys corresponding to reaction_components. Encoding dictionary has the form:
Example
Defining reaction encodings
{'A': 'resolve', 'B': 'ohe', 'C': 'smiles', . 'N': 'numeric'}
Encodings can be specified as: (‘resolve’) resolve a compound name using the NIH database and compute Mordred descriptors, (‘ohe’) one-hot-encode, (‘smiles’) compute Mordred descriptors using a smiles string, (‘numeric’) numerical reaction parameters are used as passed. If no encoding is specified, the space will be automatically one-hot-encoded.
model (edbo.models) – Surrogate model object used for Bayesian optimization. See edbo.models for predefined models and specification of custom models.
acquisition_function (str) – Acquisition function used for for selecting a batch of domain points to evaluate. Options: (TS) Thompson Sampling, (‘EI’) Expected Improvement, (PI) Probability of Improvement, (UCB) Upper Confidence Bound, (EI-TS) EI (first choice) + TS (n-1 choices), (PI-TS) PI (first choice) + TS (n-1 choices), (UCB-TS) UCB (first choice) + TS (n-1 choices), (MeanMax-TS) Mean maximization (first choice) + TS (n-1 choices), (VarMax-TS) Variance maximization (first choice) + TS (n-1 choices), (MeanMax) Top predicted values, (VarMax) Variance maximization, (rand) Random selection.
init_method (str) – Strategy for selecting initial points for evaluation. Options: (rand) Random selection, (pam) k-medoids algorithm, (kmeans) k-means algorithm, (external) User define external data read in as results.
target (str) – Column label of optimization objective. If set to -1, the last column of the DataFrame will be set as the target.
batch_size (int) – Number of experiments selected via acquisition and initialization functions.
computational_objective (function, optional) – Function to be optimized for computational objectives.
-
get_experiments
(structures=False)¶ Return indexed experiments proposed by Bayesian optimization algorithm.
edbo.BO works directly with a standardized encoded reaction space. This method returns proposed experiments as the origional smiles strings, categories, or numerical values.
- Parameters
structures (bool) – If True, use RDKit to print out the chemical structures of any encoded smiles strings.
- Returns
Proposed experiments.
- Return type
pandas.DataFrame
-
add_results
(results_path=None)¶ Add experimental results.
Experimental results should be added with the same column headings as those returned by BO_express.get_experiments. If a path to the results is not specified, an edbo bot is spawned to help load results. It does so by exporting the entire reaction space to a CSV file in the working directory.
Note: The first column in the CSV/EXCEL results file must have the same index as the experiment. Try BO_express.export_proposed() to export a CSV file with the proper format.
- Parameters
results_path (str) – Imports results from a CSV/EXCEL file with system path results_path.
- Returns
- Return type
None
-
export_proposed
(path=None)¶ Export proposed experiments.
edbo.BO works directly with a standardized encoded reaction space. This method exports proposed experiments as the origional smiles strings, categories, or numerical values. If a path to the results is not specified, a CSV file entitled ‘experiments.csv’ will be exported to the current working directory.
- Parameters
path (str) – Export a CSV file to path.
- Returns
- Return type
None
-
help
()¶ Spawn an edbo bot to help with tasks.
If you are not familiar with edbo commands BO_express.help() will spawn an edbo bot to help with tasks. Natural language can be used to interact with edbo bot in the terminal to accomplish tasks such as: initializing (selecting initial experiments using chosen init method), optimizing (run BO algorithm with availible data to choose next experiments), getting proposed experiments, adding experimental results, checking the underlying models regression performance, saving the BO instance so you can load it for use later, and exporting proposed experiments to a CSV file.
-


Create automate and distribute reliable data assets.
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Use Qlik Sense script & create folders and files with a loop. [3.2.0]
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Fully integrated web interface like as Qlik QMC. [3.2.0]
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Adding a Grunt Plugin to JET
So let’s say we’re cool with the whole Grunt-for-a-JET-project thing and now want to extend the scripts by adding a new plugin.
We’ll add something simple first. I like time-grunt because I’m always curious about the metrics. Adding it to our project will display the elapsed execution time of all of the tasks whenever we run Grunt.
First we need to download and install the plugin. Then we need to configure our Grunt scripts to fire it up.
Grunt plugins are installed via npm and registered in the package.json
file in the root of your JET project. Execute this command to download and install time-grunt:
npm install time-grunt --save-dev
The npm install
part pulls down the code needed for time-grunt and puts it in your node_modules folder. The --save-dev
part adds an entry to your package.json file.
Now we need to add it to the Gruntfile so that it will run on every invocation of grunt
. Because it’s watching over everything Grunt does and measuring the time it takes, time-grunt loads differently than normal task modules and we don’t use the load-grunt-config pattern of adding a scripts/grunt/config
file like a task. Instead, we put it directly in the Gruntfile, despite the fact that the generated JET code leans on the load-grunt-config approach for all of its other plugins.
Gruntfile.js
...
module.exports = function (grunt)
{
require("jit-grunt")(grunt, {});
require('time-grunt')(grunt);
require("load-grunt-config")(grunt,
{ ...
Now let’s run something with Grunt that takes a while and see the timing results printed out at the end:
$ grunt build:release
Running "build:release" (build) task
Running ...
...
...
Done, without errors.
Execution Time (2016-04-22 17:54:02 UTC)
loading tasks 118ms ▇ 1%
clean:release 195ms ▇ 2%
uglify:release 352ms ▇▇ 3%
copy:release 2.9s ▇▇▇▇▇▇▇▇▇▇▇▇▇ 27%
requirejs:main 6.8s ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 65%
Total 10.5s
time-grunt is unique in how it runs globally instead of being called as a task. Next we’ll configure a plugin that only runs for certain targets instead of every time Grunt is called.


Introduction
Pricing
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|
Mp
|
A collection of functions in aid of this and that. More...
#include <math.h>
#include <complex.h>
Go to the source code of this file.
Macros | |
| #define | max(x, y) |
Enumerations | |
| enum | { FLT, DBL, LDBL, FLT128, FLTMPC, NOTYET } |
Functions | |
| __float128 | fabsq (__float128 x) |
| char * | getCl (int argc, char *argv[]) |
| Assemble the command-line as a string. More... | |
| char * | guessStr (int g) |
| char * | ReadFile (char *filename) |
| double | scaleWidth (double d, int N, double E) |
| int | bestGuess (double diameter, int W) |
| int | countChar (const char *s, const char c) |
| void | signon (const char *prog, const char *Version) |
| void | str2abbr (char *abbr, size_t size, const char *s) |
A collection of functions in aid of this and that.
Convenient parking lot for utility functions used by mp.
Definition in file util.h.
| #define max | ( | x, | |
| y | |||
| ) |
| char* getCl | ( | int | argc, |
| char * | argv[] | ||
| ) |


Once your Alpha has met the minimum criteria listed above, it is then reviewed by our team. We aim to not impose any value bias during an Alpha review, but we need to ensure they are mechanically sound. When reviewing your Alpha, we will consider the following points:
All Alphas must be the intellectual property (IP) of the submitting author.
Authors need a transparent employment history and alphas must not infringe on other IP. We'd like to know the employment history of authors on the platform to ensure the alpha is not infringing on any intellectual property, including your current and past employers. Public or shared content may be used as a foundation and extended. Where you may have licensed the IP from a third party, presenting consents for usage are acceptable.
We provide the community with lots of example algorithms. A few examples to get you started can be found in this blog post, or on GitHubGitHub. The goal of this is to demonstrate how to use the API correctly, incorporate new data sources into their existing algorithms, implement our recommended best practices for Alpha Streams, and more. However, we cannot accept any copies or near-copies of our demonstration algorithms into Alpha Streams. We love to see that our work inspired someone, but each submission must provide sufficient originality that the work can indeed be called the author's own.
Alphas should have clear strategic reasoning underpinning the strategy. A single reason-based foundation for the algorithm is necessary to understand the alpha behavior when things go wrong, and it helps improve your alpha application for funds. Obscure correlations or overfitted strategies tend to perform poorly out of sample.
Mechanisms should be set up to restore the internal state of an Alpha in the event of reboots. Alphas will be very long-running; over the course of months or years, the server will need patches and occasional restarting. The alpha should be smart enough to automatically recover in the event of restart using History and WarmUp API methods.
Algorithms are required to trade on the day of deployment. Investors expect that licensed alphas start trading soon to justify their investment, and to acknowlegde that the algorithm is working as expected.
Alphas need to be able to handle edge cases such as Dividends, Splits, and Delistings. This adds another layer of resiliency and will keep an Alpha running in the event of data changes. This can involve simple control logic, checking data.ContainsKey(symbol)
, explicitly removing certain affected securities from the Universe, or other methods.
Alphas cannot log the following message: The security does not have an accurate price as it has not yet received a bar of data. Before placing a trade (or using SetHoldings) warm up your algorithm with SetWarmup, or use slice.Contains(symbol) to confirm the Slice object has price before using the data. Data does not necessarily all arrive at the same time so your algorithm should confirm the data is ready before using it. In live trading this can mean you do not have an active subscription to the asset class you're trying to trade. If using custom data make sure you've set the 'Value' property. This is a particular edge case that an order was placed before market data was used to set the security prices.
Ideally, orders should not be tagged with the "filled with stale prices" message. It can be caused by trading illiquid securities. However, it is often seen when an algorithm places a trade right after the market opens and there is no data from the current trading day.
Algorithms cannot place orders that are not validated by QCAlgorithm (OrderStatus.Invalid
). Most of invalid orders are due insuficient buying power, meaning that the position sizing and capital allocation should be adjusted accordingly.
Algorithms are required to use minute-resolution market data (or higher: second or tick). Using daily or hourly data can lead to unexpected results and trades as well as unrealistic performance, since those data resolutions do not include L1 data (bid and ask) that is necessary for realistic order fills.
When a fund licenses an Alpha, we need to guarantee them that it will perform without error and be of the highest quality possible. To do this, we can't accept any submissions that use an external data source that is not built into LEAN (i.e., dropbox files, SubscriptionDataReader, etc.). If we don't directly support the data, then we are unable to guarantee its integrity and that it will be maintained faithfully.
We currently don't support futures or option data in Alpha Streams. We are actively working on this and hope to enable futures and options support soon.
There are not restriction on security types combinations in the Alpha Market. However, since Alphas are deployed to real accounts, they cannot trade a group of securities that include unsupported types for the supported brokerages. For example, an Alpha that trades equity and crypto-currencies cannot be deployed to any brokerage other than QuantConnect Paper Trading.
Insights are predictions about the price movement of specific securities and are required in all Alpha Streams submissions. They provide funds with information about the predictive power of your models and give them insight into why the orders they see are being placed. Funds can better replicate backtest results using the API when Insights contain values for the "Weight" field, which will allow them to better understand position sizing and capital allocation.
For classic algorithms, one of the Insight constructors must be used and emitted using the EmitInsights API.
For Framework-style algorithms, Insights need to be generated in the Update() method of the Alpha Model. These will then be used in the Portfolio Construction Model (PCM) to build a portfolio. If the PCM is responsible for defining the weight that each security should have in the portfolio, the Weight field is not required.
Algorithms don't need to sustain open positions, and use all buying power during its runtime, but the allocation cannot be consistenly low (e.g.: 50% cash, 50% equities) by design.
Overfitting will doom an algorithm in live trading. To prevent this and try to boost the quality of submissions, we can't accept any Alphas that obviously overfit to data. Overfitting can manifest itself in countless ways, but the most common things we see are:


What's the Elvish word for 'friend'? Also 200 eat calls tells causeway Lembas.  Sweet trying belong by announce fairy misty wielding Thofin recoil decided.
Exchange Dunharrow studies well-wishers own. Crash spills binding uncle moved Pip dry window whip against unlost.  Only journeying Dwarf waterman ran?


Introduction to the Type Hints Library¶
In this chapter we will learn about the Type Hints Library
Why Type Hints?¶
Using this library we can add the type information to the source code which will be very useful for tools like
- Code Editors
- Static-Analysis
Note
Ring is a dynamic language, No type checking will be done by the compiler.
Example¶
The next example will use the Type Hints library
load "typehints.ring"
see sum(3,4) + nl ;
see sayHello("Mahmoud");
int func sum(int x,int y) {
return x+y ;
}
string func sayHello(string name) {
return "Hello " + name ;
}
User Types¶
The Type Hints library is very powerful and will support user types (Classes) automatically
Example:
load "typehints.ring"
import mypackage
test() { main([:one,:two,:three]) }
myclass func test() {
see "Testing User Types!" + nl
return new myclass
}
package mypackage {
public class myclass {
public static void func main(list args) {
see "welcome" + nl
see args
}
}
}
Using Types inside Code¶
Also you can use the types inside the code (not only the function prototype)
Example:
load "typehints.ring"
int sum = sum(3,4)
string msg = sayHello("Mahmoud")
see "Sum = " + sum + nl + msg + nl
int func sum(int x,int y) {
return x+y ;
}
string func sayHello(string name) {
return "Hello " + name ;
}
Rules¶
- To use the types in the function prototype you must use ‘(‘ and ‘)’ around parameters
- To use the types in the function code, You must set the variable value (Assignment).
The next types are defined by the library
# Low Level Types
char
unsigned
signed
int
short
long
float
double
void
# High Level Types
string
list
number
object
# Other
public
static
abstract
protected
override


Move your mouse over the "S" to begin.
Don't cheat,you should start from the 'S' and move to the 'E' inside the maze!
The object of this guide the mouse cursor through the start area and get to the area.Be sure to avoid the walls:
Good luck!


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I am a freelance, self-educated, highly motivated, python developer from Serbia and I’ve been coding for 1 year with multiple years of supporting education. I usually work on building web scrapers, automation tools, FastAPI or Flask web apps. All kinds of automation, as well as sending emails or working with excel files. My primary concentration at the moment is python and have a firm understanding of HTML, CSS and Javascipt. I am comfortable with working on both Windows and Linux operating systems. To help enhance and support my graphics projects I often work with GIMP and Inkscape.


apple2.cfg
)
apple2-system.cfg
apple2-hgr.cfg
apple2-overlay.cfg
apple2-asm.cfg
This file contains an overview of the Apple ][ runtime system as it comes with the cc65 C compiler. It describes the memory layout, Apple ][ specific header files, available drivers, and any pitfalls specific to that platform.
Please note that Apple ][ specific functions are just mentioned here, they are described in detail in the separate function reference. Even functions marked as "platform dependent" may be available on more than one platform. Please see the function reference for more information.
The standard binary file format generated by the linker for the Apple ][ target is an AppleSingle file. The default load address is $803.
AppleCommander 1.4.0 or later (available at
https://applecommander.github.io/) includes the option -as
that
allows to put AppleSingle files onto disk images containing DOS 3.3 as well
as ProDOS 8.
In the standard setup, cc65 generated programs use the memory from $803 to $95FF, so 35.5 KB of RAM are available.
Special locations:
The C runtime stack is located at HIMEM and grows downwards, regardless of how your linker config file is setup.
The C heap is located at the end of the program and grows towards the C runtime stack.
While running main()
the Language Card bank 2 is enabled for read access.
However while running module constructors/destructors the Language Card is disabled.
Enabling the Language Card allows to use it as additional memory for cc65
generated code. However code is never automatically placed there. Rather code
needs to be explicitly placed in the Language Card either per file by compiling
with --code-name LC
or per function by enclosing in #pragma code-name
(push, "LC")
and #pragma code-name (pop)
. In either case the cc65 runtime
system takes care of actually moving the code into the Language Card.
The amount of memory available in the Language Card for generated code depends on the linker configuration parameters. There are several usefull settings:
For plain vanilla ProDOS 8 which doesn't actually use the Language Card bank 2 memory from $D400 to $DFFF. This is the default setting.
For ProDOS 8 together with the function rebootafterexit()
. If a program
doesn't quit to the ProDOS 8 dispatcher but rather reboots the machine after
exit then a plain vanilla ProDOS 8 doesn't make use of the Language Card bank
2 at all.
For plain vanilla DOS 3.3 which doesn't make use of the Language Card at all.
The ld65 linker comes with a default config file for the Apple ][,
which is used via -t apple2
.
The apple2 package comes with additional secondary linker config files, which
are used via -t apple2 -C <configfile>
.
apple2.cfg
)
Default configuration for a binary program.
Parameters:
STARTADDRESS:
Program start addressDefault: $803. Use -S <addr>
to set a different start address.
__EXEHDR__:
AppleSingle executable file headerDefault: Yes. Use -D __EXEHDR__=0
to omit the AppleSingle header.
__STACKSIZE__:
C runtime stack sizeDefault: $800. Use -D __STACKSIZE__=<size>
to set a different
stack size.
__HIMEM__:
Highest usable memory address presumed at link timeDefault: $9600. Use -D __HIMEM__=<addr>
to set a different
highest usable address.
__LCADDR__:
Address of code in the Language CardDefault: $D400. Use -D __LCADDR__=<addr>
to set a different
code address.
__LCSIZE__:
Size of code in the Language CardDefault: $C00. Use -D __LCSIZE__=<size>
to set a different
code size.
apple2-system.cfg
Configuration for a system program running on ProDOS 8 and using the memory from $2000 to $BEFF.
Parameters:
__EXEHDR__:
AppleSingle executable file headerDefault: Yes. Use -D __EXEHDR__=0
to omit the AppleSingle header.
__STACKSIZE__:
C runtime stack sizeDefault: $800. Use -D __STACKSIZE__=<size>
to set a different
stack size.
__LCADDR__:
Address of code in the Language CardDefault: $D400. Use -D __LCADDR__=<addr>
to set a different
code address.
__LCSIZE__:
Size of code in the Language CardDefault: $C00. Use -D __LCSIZE__=<size>
to set a different
code size.
apple2-hgr.cfg
Configuration for a program including a hires page. See testcode/lib/apple/hgrtest.c
for an example of such a program.
Parameters:
STARTADDRESS:
Program start addressDefault: $803. Use -S <addr>
to set a different start address.
__EXEHDR__:
AppleSingle executable file headerDefault: Yes. Use -D __EXEHDR__=0
to omit the AppleSingle header.
__STACKSIZE__:
C runtime stack sizeDefault: $800. Use -D __STACKSIZE__=<size>
to set a different
stack size.
__HIMEM__:
Highest usable memory address presumed at link timeDefault: $9600. Use -D __HIMEM__=<addr>
to set a different
highest usable address.
__LCADDR__:
Address of code in the Language CardDefault: $D400. Use -D __LCADDR__=<addr>
to set a different
code address.
__LCSIZE__:
Size of code in the Language CardDefault: $C00. Use -D __LCSIZE__=<size>
to set a different
code size.
apple2-overlay.cfg
Configuration for an overlay program with up to nine overlays. The overlay files
don't include the AppleSingle header. See samples/overlaydemo.c
for more
information on overlays.
Parameters:
STARTADDRESS:
Program start addressDefault: $803. Use -S <addr>
to set a different start address.
__EXEHDR__:
AppleSingle executable file headerDefault: Yes. Use -D __EXEHDR__=0
to omit the AppleSingle header.
__STACKSIZE__:
C runtime stack sizeDefault: $800. Use -D __STACKSIZE__=<size>
to set a different
stack size.
__HIMEM__:
Highest usable memory address presumed at link timeDefault: $9600. Use -D __HIMEM__=<addr>
to set a different
highest usable address.
__LCADDR__:
Address of code in the Language CardDefault: $D400. Use -D __LCADDR__=<addr>
to set a different
code address.
__LCSIZE__:
Size of code in the Language CardDefault: $C00. Use -D __LCSIZE__=<size>
to set a different
code size.
__OVERLAYSIZE__:
Size of code in the overlaysDefault: $1000. Use -D __OVERLAYSIZE__=<size>
to set a different
code size.
apple2-asm.cfg
Configuration for an assembler program that doesn't need a special setup.
Parameters:
STARTADDRESS:
Program start addressDefault: $803. Use -S <addr>
to set a different start address.
__EXEHDR__:
AppleSingle executable file headerDefault: No. Use -u __EXEHDR__ apple2.lib
to add the AppleSingle header.
ProDOS 8 system programs are always loaded to the start address $2000. For cc65 programs this means that the 6 KB from $800 to $2000 are by default unused. There are however several options to make use of that memory range.
The easiest (and for really large programs in fact the only) way to have a cc65
program use the memory from $800 to $2000 is to link it as binary
(as opposed to system) program using the default linker configuration
apple2.cfg with __HIMEM__
set to $BF00
and load it with the LOADER.SYSTEM utility. The program then works like a system
program (i.e. quits to the ProDOS dispatcher).
Using LOADER.SYSTEM is as simple as copying it to the ProDOS 8 directory of the
program to load under name <program>.SYSTEM as a system program. For
example the program MYPROG
is loaded by MYPROG.SYSTEM
. The right
AppleCommander option to put LOADER.SYSTEM on a ProDOS 8 disk image is -p
.
If the cc65 program can be successfully linked as system program using the linker
configuration
apple2-system.cfg, but
uses the heap either explicitly or implicitly (i.e. by loading a driver) then
the memory from $800 to $2000 can be added to the heap by calling
_heapadd ((void *) 0x0800, 0x1800);
at the beginning of main()
.
ProDOS 8 requires for every open file a page-aligned 1 KB I/O buffer. By default
these buffers are allocated by the cc65 runtime system on the heap using
posix_memalign()
. While this is generally the best solution it means quite
some overhead for (especially rather small) cc65 programs which do open files
but don't make use of the heap otherwise.
The apple2 package comes with the alternative ProDOS 8 I/O buffer allocation
module apple2-iobuf-0800.o
which uses the memory between $800 and
the program start address for the 1 KB I/O buffers. For system programs (with
start address $2000) this results in up to 6 I/O buffers and thus up to 6
concurrently open files.
While using _heapadd()
as described in the section above together with the
default I/O buffer allocation basically yields the same placement of I/O buffers
in memory the primary benefit of apple2-iobuf-0800.o
is a reduction in code
size - and thus program file size - of more than 1400 bytes.
Using apple2-iobuf-0800.o
is as simple as placing it on the linker command
line like this:
cl65 -t apple2 -C apple2-system.cfg myprog.c apple2-iobuf-0800.o
Programs containing Apple ][ specific code may use the
apple2.h
header file.
The functions listed below are special for the Apple ][. See the function reference for declaration and usage.
There's currently no support for direct hardware access. This does not mean you cannot do it, it just means that there's no help.
The names in the parentheses denote the symbols to be used for static linking of the drivers.
a2.lo.tgi (a2_lo_tgi)
This driver features a resolution of 40×48 with 16 colors.
The function tgi_apple2_mix()
allows to activate 4 lines of text. The
function clears the corresponding area at the bottom of the screen.
a2.hi.tgi (a2_hi_tgi)
This driver features a resolution of 280×192 with 8 colors and two
hires pages. Note that programs using this driver will have to be linked
with -S $4000
to reserve the first hires page or with -S $6000
to reserve both hires pages.
The function tgi_apple2_mix()
allows to activate 4 lines of text. The
function doesn't clear the corresponding area at the bottom of the screen.
In memory constrained situations the memory from $803 to $1FFF
can be made available to a program by calling _heapadd ((void *) 0x0803, 0x17FD);
at the beginning of main()
. Doing so is beneficial even if the program
doesn't use the the heap explicitly because loading the driver (and in fact
already opening the driver file) uses the heap implicitly.
a2.auxmem.emd (a2_auxmem_emd)
Gives access to 47.5 KB RAM (190 pages of 256 bytes each) on an Extended 80-Column Text Card.
Note that this driver doesn't check for the actual existence of the memory and that it doesn't check for ProDOS 8 RAM disk content!
a2.stdjoy.joy (a2_stdjoy_joy)
Supports up to two standard analog joysticks connected to the game port of the Apple ][.
a2.stdmou.mou (a2_stdmou_mou)
Driver for the AppleMouse II Card. Searches all Apple II slots for an AppleMouse II Card compatible firmware. The default bounding box is [0..279,0..191].
Programs using this driver will have to be linked with -S $4000
to reserve the first hires page if they are intended to run on an
Apple ][ (in contrast to an Apple //e) because the
AppleMouse II Card firmware writes to the hires page when initializing
on that machine.
Note that the Apple ][ default mouse callbacks support text mode only.
a2.ssc.ser (a2_ssc_ser)
Driver for the Apple II Super Serial Card. Supports up to 19200 baud, hardware flow control (RTS/CTS) and interrupt driven receives. Note that because of the peculiarities of the 6551 chip transmits are not interrupt driven, and the transceiver blocks if the receiver asserts flow control because of a full buffer.
The driver defaults to slot 2. Call ser_apple2_slot()
prior to
ser_open()
in order to select a different slot. ser_apple2_slot()
succeeds for all Apple II slots, but ser_open()
fails with
SER_ERR_NO_DEVICE
if there's no SSC firmware found in the selected slot.
Although the standard binaries generated by the linker for the Apple ][ generally run both on DOS 3.3 (with Applesoft BASIC) and on ProDOS 8 (with BASIC.SYSTEM) there are some limitations for DOS 3.3:
There's no disk file I/O support. Any attempt to use it yields an error with
errno
set to ENOSYS
. This implicitly means that loadable drivers
are in general not functional as they depend on disk file I/O. Therefore the statically
linked drivers have to be used instead.
There's no interruptor
support. Any attempt to use it yields the message
'FAILED TO ALLOC INTERRUPT' on program startup. This implicitly means that
mouse and RS232 device drivers are not functional as they depend on interrupts.
The Apple ][ has no color text mode. Therefore the functions
textcolor()
, bgcolor()
and bordercolor()
have no effect.
The random number seed is generated from the time the program waits for user input. Therefore it is necessary to wait for at least one user keypress either via Standard I/O or via Direct console I/O before initializing the pseudo random number generator.
There are several types of realtime clocks. It's not desirable to have specific code
for all of them. As ProDOS 8 supports file timestamps, realtime clock owners usually
use ProDOS 8 drivers for their realtime clock. Those drivers read the realtime clock
and write the result to the date/time location in RAM ($BF90 to $BF93).
ProDOS 8 reads the date/time from that RAM location. If there's no realtime clock the
RAM location keeps containing zeros. ProDOS 8 uses those zeros as timestamps and the
files show up in a directory as <NO DATE>
.
There's no common interface to set realtime clocks so if a realtme clock IS present there's just nothing to do. However, if there's NO realtime clock present, the user might very well be interest to "manually" set the RAM location in order to have timestamps. But he surely doesn't want to manually set the RAM location over and over again. Rather he wants to set it just once after booting ProDOS 8.
From that perspective it makes most sense to not set both the date and the time but
rather only set the date and have the time just stay zero. Then files show up in a
directory as DD-MON-YY 0:00
.
So clock_settime()
checks if the current time equals 0:00. If it does NOT
then a realtime clock is supposed to be active and clock_settime()
fails with
ERANGE
. Otherwise clock_settime()
sets the date - and completely ignores
the time provided as parameter.
clock_getres()
too checks if the current time equals 0:00. If it does NOT
then a realtime clock is supposed to be active and clock_getres()
returns a time
resolution of one minute. Otherwise clock_getres()
presumes that the only one
who sets the RAM location is clock_settime()
and therefore returns a time
resolution of one day.
Command line arguments can be passed to main()
after BLOAD. Since this is not
supported by BASIC, the following syntax was chosen:
]CALL2051:REM ARG1 " ARG2 IS QUOTED" ARG3 "" ARG5
main
is the program name.The runtime for the Apple ][ uses routines marked as
.INTERRUPTOR
for ProDOS 8 interrupt handlers. Such routines must be
written as simple machine language subroutines and will be called
automatically by the interrupt handler code when they are linked into a
program. See the discussion of the .CONDES
feature in the
assembler manual.
The function
dio_open() has the single
parameter device
to identify the device to be opened. Therefore an
Apple II slot and drive pair is mapped to that device
according
to the formula
device = slot + (drive - 1) * 8
so that for example slot 6 drive 2 is mapped to device
14.
The function
dio_query_sectcount() returns
the correct sector count for all ProDOS 8 disks. However for any non-ProDOS 8
disk it simply always returns 280 (which is only correct for a 140 KB disk).
This condition is indicated by the _oserror
value 82.
ProDOS associates a file type and an auxiliary type with each file.
These type specifications are separate from the file's name, unlike
Windows which uses the file name's suffix (a.k.a.
extension) to specify the file type. For example, .exe
,
.doc
, or .bat
.
The ProDOS low-level
Machine-Language Interface (MLI) functions for creating and opening
files require these types to be specified. And if they don't match
with the file being opened, the operation may fail.
In contrast, the ISO C function fopen()
and the POSIX function
open()
have no parameter to specify either a file type or an
auxiliary type. Therefore, some additional mechanism for specifying
the file types is needed.
There are two global variables provided that allow the file type
and auxiliary type to be specified before a call to fopen()
or open()
. They are defined in apple2_filetype.h
:
extern unsigned char _filetype; /* Default: PRODOS_T_BIN */
extern unsigned int _auxtype; /* Default: 0 */
The header file apple2_filetype.h
also defines many values
that can be used to set these variables. It is included in
apple2.h
, which is in turn included in apple2enh.h
.
So it isn't necessary to include it directly. Just
include one of apple2.h
or apple2enh.h
.
A text file cannot be created with just the
standard C functions because they default to the binary type
PRODOS_T_BIN
. The _filetype
variable must be set to
PRODOS_T_TXT
to create a text file.
For a text file,
_auxtype
specifies the record length. A zero record
length text file is referred to as a sequential text file.
This is equivalent to text files on
other operating systems, except that the line terminator is a
carriage return instead of a line-feed (Linux/BSD/MacOS) or
carriage return, line-feed pair (Windows).
The "sequential" text file terminology is in contrast to a "random-access" text file which would have a fixed-length, non-zero record length, so that the file position of any individual record can be calculated.
For this example, the
_auxtype
does not need to be set because it defaults to
the desired value, which is zero. To be more explicit,
_auxtype
can also be set to PRODOS_AUX_T_TXT_SEQ
which is defined as zero.
#include <stdio.h>
#include <string.h>
#include <errno.h>
#include <apple2.h>
void main(void)
{
FILE *out;
char *name = "MY.FAVS";
/*-----------------------------*/
_filetype = PRODOS_T_TXT;
_auxtype = PRODOS_AUX_T_TXT_SEQ;
/*-----------------------------*/
if ((out = fopen(name, "w")) != NULL) {
fputs("Jorah Mormont\r", out);
fputs("Brienne of Tarth\r", out);
fputs("Daenerys Targaryen\r", out);
fputs("Sandor Clegane\r", out);
if (fclose(out) == EOF) {
fprintf(stderr, "fclose failed for %s: %s", name, strerror(errno));
}
}
else {
fprintf(stderr, "fopen failed for %s: %s", name, strerror(errno));
}
}
This software is provided 'as-is', without any expressed or implied warranty. In no event will the authors be held liable for any damages arising from the use of this software.
Permission is granted to anyone to use this software for any purpose, including commercial applications, and to alter it and redistribute it freely, subject to the following restrictions:


WQMY
St. Clair County High School (Odenville, AL) Football Home
St. Clair County Fighting Saints (Odenville, AL) Varsity Football Team Home Page. The Fighting Saints have articles.
http://www.maxpreps.com/high-schools/st-clair-county-fighting-saints-(odenville,al)/football/home.htm
| jackson all water kayak/king david fayetteville ny/ prosecuor of texas llc |
|
|---|---|
| recessed gas cap conversion | Williamsport |
| Branding | MyNetworkTV saint clair county high school |
| king of the sevens | gecko house st john: 29 (ricardo beverly hills backpacks) & black box inc louisville-DT 45.3 (UHF) |
| lenox sales inc bankruptcy | see article |
| Owner | New Age Media, LLC St. Clair County High School Sports Scoreboard - al.com |
| First air date | December 30, 1988 |
| cal mart grocery store san francisco | MYNetworkTV |
| kadia water hand pump | WOLF-TV, winter garden check list |
| replace dell lcd backlight | WILF (1988-2006) |
| Former channel number(s) | St clair county high school in Odenville, AL ... - Yellowpages.com |
| where i'm bound words and chords | beyonce barack obama spoof (1988-1998) canon dr 2050c sale alabama / principios de derecho constitucional (1998-2006) |
| bella bridesmaid in nashville tn | 50 sky tv broadband phone 420 kW (WOLF-DT3) |
| young girls age 10 | 243 m 488 m (WOLF-DT3) |
| stop pretending by sona somes | 52075 73375 (WOLF-DT3) |
| Transmitter coordinates | cody arens dragon wars amp per hour battery (WOLF-DT3) |
Saint Clair County High School - SchoolDigger.com
Saint Clair County High School school profile, performance trends and AL state ranking. See how Saint Clair County High School ranks to other Odenville .
http://www.schooldigger.com/go/AL/schools/0306201367/school.aspx
St. Clair County High School (Odenville, AL) Basketball Schedule
St. Clair County Fighting Saints' 12-13 varsity basketball game .
http://www.maxpreps.com/high-schools/st-clair-county-fighting-saints-(odenville,al)/basketball/schedule.htm
Contents |
[satellite service and quali serv] History
St. Clair County Football Team - al.com - High School Sports High ...
Get the latest Football St. Clair County high school Football news, rankings, schedules, stats, scores, results & athletes info and more at al.com.
http://highschoolsports.al.com/school/odenville-st-clair-county/football/
St. Clair County High School (Odenville, AL) Football Schedule
MaxPreps doesn't have a schedule on hand for the St. Clair County 13-14 football team. If you have access to the schedule please email it to .
http://www.maxpreps.com/high-schools/st-clair-county-fighting-saints-(odenville,al)/football/schedule.htm
St. Clair County High School (Odenville, AL) Home - MaxPreps.com
St. Clair County High School (Odenville, AL) Home. Stay in touch with the Fighting Saints' sports teams. Get schedules, stats, rosters, photos, and more...
http://www.maxpreps.com/high-schools/st-clair-county-fighting-saints-(odenville,al)/home.htm
Saint Clair County High School - Odenville Alabama AL - Saint Clair ...
Saint Clair County High School Alumni in Odenville, Alabama AL - High School Apparel Clothing Merchandise - Find Alumni, Plan Reunion, Search for .
http://www.alumniclass.com/SaintClairCounty
Saint Clair County High School
Welcome to the Saint Clair County High School website. The mission of Saint Clair County High School is to enrich and teach each student to become all he or .
http://www.scchs1.com/
Saint Clair County High School "Odenville" | Facebook
Get registered for the St Clair Scramble 5k obstacle mud race coming to Odenville, AL 3.23.13! All proceeds benefit the Ian Harper Memorial Scholarship Fund!
http://www.facebook.com/SaintClairHigh
St Clair County Alabama Schools | Directory
St. Clair County High School Principal: Mr. Brian Terry Asst. Principal: Mr. Dean Isbell 16700 US Highway 411 Odenville, Al 35120. Office:<PHONE_NUMBER> Fax: .
http://www.stclaircountyschools.net/schools.shtml
Public Education - St. Clair County, Alabama
P. O. Box 610. Odenville, AL 35120<PHONE_NUMBER>. Ragland High School 1060 Main St. Ragland, AL 35131<PHONE_NUMBER>. St. Clair County High School .
http://www.stclairco.com/index.php?src=gendocs&ref=Public_Education_Main&category=Public%20Education
St Clair County Alabama Schools | Welcome
St Clair County, Alabama Schools are located in Moody, Springville,Odenville . Moody High School joins the 76 schools in Alabama that participate in the A+ .
http://www.stclaircountyschools.net/
Saint Clair County High School in Odenville, AL | Education.com
Saint Clair County High School is located in Odenville, AL and is one of 7 high schools in St Clair County School District. It is a public school that serves 566 .
http://www.education.com/schoolfinder/us/alabama/odenville/saint-clair-county-high-school/
[report file size nagios windows] Digital channels
| Channel | Name | least odor cigarette smoke compare | 4sc dw guitar yamaha | Programming |
|---|---|---|---|---|
| 53.1 | saint clair county high school DT | create free animated banners education | renting a handcap accessible van | Main saint clair county high school programming / MyNetworkTV |
| 53.2 | WOLF DT | air force retirement pay scale | integrity christian singing group tallahassee florida | Simulcast of roadtrip an best places and california |
| 53.3 | WSWB DT | 480i | 4:3 | Simulcast of bed n breackfast hove brighton |
St Clair County | Alabama | Best High Schools | US News
St Clair County | Alabama | Best High Schools | US News. . Alabama's St Clair County School District contains 5 high schools. All Schools in District .
http://www.usnews.com/education/best-high-schools/alabama/districts/st-clair-county
[filter records in report access] References
[peter o'toole my favorite year] External links
- blood pressure measurement listen nurse
- cheques de pago de n mina
- national park service mn
- metlife 505 independence parkway chesapeake va
- bracewell sahara car crossing
- alfred g brummitt jr
|
|


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Writing some text and validate fonts
Writing some text and validate fonts
Writing some text and validate fonts


The data specifies what should be put in the graph. Select between one of the example data sets or specify your own custom data in the code.
The stylesheet is used to specify rules that affect how the elements in the graph look. Select between one of the example stylesheets or specify your own custom stylesheet in the code.
The layout is used to specify how the nodes are positioned in the viewport. Select between one of the example layouts or specify your own in the code.
Cytoscape.js can analyze data with a variety of graph theory algorithms, including Breadth-First Search and Depth-First Search.
To use custom data, styles, or layouts, clone
the repo and modify datasets/custom.json
, js/index.js
, or stylesheets/custom.cycss
.


2 implementations of CurrentPSTransaction
System.Management.Automation (2)
engine\DefaultCommandRuntime.cs (1)
212
public PSTransactionContext
CurrentPSTransaction
engine\MshCommandRuntime.cs (1)
1996
public PSTransactionContext
CurrentPSTransaction
1 reference to CurrentPSTransaction
System.Management.Automation (1)
engine\cmdlet.cs (1)
1670
return commandRuntime.
CurrentPSTransaction
;


{{title}}
Powered by
YAM
Text
{{ passage }}
Tags sorted by likelihood
{% block answer %}{% endblock %}


Whole articles? Ain’t nobody got time for that! That’s why Y’all need Meme the News. Memes are salty. Think before you scroll. I don’t stand behind every meme here. They are all presented as food for thought!

Aggroed, You’re the worst blogger I’ve ever heard of on Steemit!
https://steemitimages.com/0x0/https://media.giphy.com/media/7rdX2yYlGyfMQ/giphy.gif
This page is synchronized from the post: ‘Meme the News 5/22/17 Nearly 700 Followers!’


{{donetext}}
You have prepaid for your prescriptions from
{{startdate}} to {{enddate}}
Your prepayment number is 869 467 589
A copy of your receipt {{receipt}} sent to {{contact}}
Next steps
Collecting a prescription
Tell the pharmacy staff you have a prescription prepayment. You will need to tick box F on the back of the prescription.
Tell us if something changes
It is important to tell us if your name or address changes so that they match the details on your prescriptions. You can use this service to keep your details up to date.
We will {{contacttype}} you in March to remind you when your prepayment will end.


Seasons in the Country
Each season is announced by its own heralds and has its own charm. (Except the season I have dubbed Thaw, which they left out of my kindergarten education, and which I have also left out of this website, because I'm still struggling to find anything charming in a lot of mud).
A very pretty (and somewhat related) website on seasonal country living is Creative Country, which I only just discovered in the process of creating this page. It has a very clean, minimalist design and layout with gorgeous photography and thoughtful content.
All images (c) Christel Trutmann unless otherwise noted.
The Seasons
| Spring | Summer | Autumn | Winter |
|---|---|---|---|
|
|
|
|


{% extends "info_base.html" %} {% block content %}
By continuing, you agree to release the following attributes to Puzzle Hunt CMU:


Spotify is a music streaming platform with over 191 million users, making it one of the most popular music streaming softwares in the world. Spotify hosts over 40 million songs which users can organize into personal playlists.
One of Spotify’s core features is a music recommendation system (MRS). As users craft playlists, Spotify provides suggestions for songs a user might add to that playlist. The ability to curate good playlist suggestions can make or break a user’s experience and therefore is a key area of investment for Spotify.
This project attempts to tackle not only this general problem of playlist generation, it also looks to tackle one of the hardest formulations of playlist generation: the“cold start” problem. The cold start problem attempts to generate suggestions based on a limited number of starting tracks from which to infer. We’ve defined this limited number as 1 to 20 songs, with 1 being the most difficult task and 20 approaching a more regular dataset. For more reasons why the problem of song recommendation is both particularly thorny (and thus perhaps all the more worthwhile) compared to similar problems refer to the context section of the literature review.
For all the nuance of this problem, we aimed to tackle this problem in a simple, yet effective way. We wanted to avoid using other datasets which might encounter fuzzy matching problems or overly complicated hybrid methods that might overfit the model or provide only marginal returns on large investments of computational power. We settled on a collaborative filtering mechanism that we found produced surprisingly good accuracy at predicting a hidden test set.
This website consists of six sections: results from data exploration, a literature review of prior attempts at tackling this problem, overview of our model, a report of our results, a report of our conclusion explaining the implications of our work and future ways to improve upon it, and a works cited page.


:: com :: sun :: star :: awt ::
|
| interface XImageProducer |
|
- Description
- specifies a source for an image.
|
| Methods' Summary |
| addConsumer |
registers an image consumer with the image producer for accessing
the image data during a later reconstruction of the image.
|
| removeConsumer |
removes the given XImageConsumer
callback from the list of consumers currently registered to receive
image data.
|
| startProduction |
registers the given image consumer as a consumer
and starts an immediate reconstruction of the image data.
|
| Methods' Details |
addConsumer
- Description
- registers an image consumer with the image producer for accessing
the image data during a later reconstruction of the image.
The image producer may, at its discretion, start delivering the
image data to the consumer using the XImageConsumer
interface immediately, or when the next available image reconstruction
is triggered by a call to the startProduction method.
|
|
removeConsumer
- Description
- removes the given XImageConsumer
callback from the list of consumers currently registered to receive
image data.
It is not considered an error to remove a consumer that is not
currently registered. The image producer should stop sending data
to this consumer as soon as it is feasible.
|
|
startProduction
| [oneway] void |
| startProduction(); |
- Description
- registers the given image consumer as a consumer
and starts an immediate reconstruction of the image data.
The image data will then be delivered to this consumer and any other
consumer which may have already been registered with the producer.
This method differs from the addConsumer method in that a reproduction of
the image data should be triggered as soon as possible.
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


--- layout: page title: About header-img: "img/about-bg.png" ---
Follow me on my crazy adventure to learn how to code. EXPERIENCE
Jan-2016 SalesX Digital Marketer
Account Manager - Google AdWords and Bing accounts
Relationship manager and client reporting
Google Adwords Specialist Certification
Create content and research for social media platforms (Facebook, Linkedin, Google+, Twitter)
Send out daily posts for our SMM clients/SalesX
Increase followers and engagement for our SMM clients accounts
Write and edit blogs for our clients
Execution of on-page SEO work
Provide assistance to Digital Marketing Team for ad hoc projects
Create e-newsletter
May-Aug 2015 Sequoia Consulting Group Client Services Intern
Coordinated enrollment/termination processing for clients’ employee benefits
Assisted with various Salesforce related projects
Conducted testing of HR system for new Sequoia One client companies
Collaborated with team members across multiple departments (i.e. sales, marketing, recruiting) and participated in process improvement activities as needed
Provided assistance to Client Services Team for ad hoc projects
May-Jul 2010 Cenko International Assistant Manager
Reviewed income statements for accuracy and made revisions
Assisted with purchasing; and coordinating client visits
May-Jul 2009 Fashion Yohan Clothing Factory Assistant Manager
Managed factory production of clothing to ensure production goals were met
Served as liaison between CEO and departments to resolve conflicts
EDUCATION
2013-2015 Menlo College B.S. in Business: International Management major
G.P.A.: 3.3, Dean’s List: 2014
Menlo College Soccer Team Member
Menlo College Postal Services Assistant (2015-present)
Office of Information Technology Help Desk Assistant (2015-present)
Member of Campus Conservation Nationals leadership team; coordinated educational outreach events to promote energy and water conservation (2015)
2011-2013 Universidad Francisco Marroquin Pursued B.S. in International Management and Politics
Co-Founder and Vice President of Debate Association: Led team to first international competition
Certificate of Completion in Conflict Management and Politics
OTHER INFORMATION
F-1 Visa Student
Fluent in English and Spanish; basic proficiency in Korean
Proficient in Microsoft Office, Salesforce, Tableau, ThinkHR, Google Apps and Yammer
Professional Soccer Player, Guatemala City, Guatemala
Antigua G.F.C. Division II (2010, 2012)
Guatemala U-17 National Team (2008)


Knicks fans boo, heckle Kristaps Porzingis with 'a--hole!' chants
by TSD StaffThe Kristaps Porzingis revenge game took place at Madison Square Garden on Thursday night, and Knicks fans were ready for it.
There’s a lot of uncertainty about the Knicks’ future, as the front office has made it clear that the losing ways need to end, or else head coach David Fizdale could be shown the door.
As for the blame, the front office deserves the majority of it, yet the team has shifted it toward Porzingis for wanting to leave. Fans let him have it before and during the game, booing him a number of times.
It started during pregame introductions.
It continued during the game with “a–hole!” chants breaking out.
Tough crowd.


Parallax Engine that reacts to the orientation of a smart device. Where no gyroscope or motion detection hardware is available, the position of the cursor is used instead.
Check out this demo to see it in action!
Create a list of elements giving each item that you want to move within your parallax scene a class of layer
and a data-depth
attribute specifying its depth within the scene. A depth of 0 will cause the layer to remain stationary, and a depth of 1 will cause the layer to move by the total effect of the calculated motion. Values inbetween 0 and 1 will cause the layer to move by an amount relative to the supplied ratio.

To kickoff a Parallax scene, select your parent DOM Element and pass it to the Parallax constructor.
var scene = document.getElementById('scene');
var parallax = new Parallax(scene);
The amount of motion that each layer moves by depends on 3 contributing factors:
scalarX
and scalarY
values (see Behaviours below for configuration)depth
of a layer within a parallax scene (specified by it's data-depth
attribute)The calculation for this motion is as follows:
xMotion = parentElement.width * (scalarX / 100) * layerDepth
yMotion = parentElement.height * (scalarY / 100) * layerDepth
So for a layer with a data-depth
value of 0.5
within a scene that has both the scalarX
and scalarY
values set to 10
( the default ) where the containing scene element is 1000px x 1000px
, the total motion of the layer in both x
and y
would be:
xMotion = 1000 * (10 / 100) * 0.5 = 50 # 50px of positive and negative motion in x
yMotion = 1000 * (10 / 100) * 0.5 = 50 # 50px of positive and negative motion in y
There are a number of behaviours that you can setup for any given Parallax instance. These behaviours can either be specified in the markup via data attributes or in JavaScript via the constructor and API.
| Behaviour | Values | Description |
|---|---|---|
relativeInput |
true or false |
Specifies whether or not to use the coordinate system of the element passed to the parallax constructor . Mouse input only. |
clipRelativeInput |
true or false |
Specifies whether or not to clip the mouse input to the bounds of the element passed to the parallax constructor . Mouse input only. |
calibrate-x |
true or false |
Specifies whether or not to cache & calculate the motion relative to the initial x axis value on initialisation. |
calibrate-y |
true or false |
Specifies whether or not to cache & calculate the motion relative to the initial y axis value on initialisation. |
invert-x |
true or false |
true moves layers in opposition to the device motion, false slides them away. |
invert-y |
true or false |
true moves layers in opposition to the device motion, false slides them away. |
limit-x |
number or false |
A numeric value limits the total range of motion in x , false allows layers to move with complete freedom. |
limit-y |
number or false |
A numeric value limits the total range of motion in y , false allows layers to move with complete freedom. |
scalar-x |
number |
Multiplies the input motion by this value, increasing or decreasing the sensitivity of the layer motion. |
scalar-y |
number |
Multiplies the input motion by this value, increasing or decreasing the sensitivity of the layer motion. |
friction-x |
number 0 - 1 |
The amount of friction the layers experience. This essentially adds some easing to the layer motion. |
friction-y |
number 0 - 1 |
The amount of friction the layers experience. This essentially adds some easing to the layer motion. |
origin-x |
number |
The x origin of the mouse input. Defaults to 0.5 (the center). 0 moves the origin to the left edge, 1 to the right edge. Mouse input only. |
origin-y |
number |
The y origin of the mouse input. Defaults to 0.5 (the center). 0 moves the origin to the top edge, 1 to the bottom edge. Mouse input only. |
In addition to the behaviours described above, there are two methods enable()
and disable()
that activate and deactivate the Parallax instance respectively.

var scene = document.getElementById('scene');
var parallax = new Parallax(scene, {
calibrateX: false,
calibrateY: true,
invertX: false,
invertY: true,
limitX: false,
limitY: 10,
scalarX: 2,
scalarY: 8,
frictionX: 0.2,
frictionY: 0.8,
originX: 0.0,
originY: 1.0
});
var scene = document.getElementById('scene');
var parallax = new Parallax(scene);
parallax.enable();
parallax.disable();
parallax.updateLayers(); // Useful for reparsing the layers in your scene if you change their data-depth value
parallax.calibrate(false, true);
parallax.invert(false, true);
parallax.limit(false, 10);
parallax.scalar(2, 8);
parallax.friction(0.2, 0.8);
parallax.origin(0.0, 1.0);
If you're using jQuery or Zepto and would prefer to use Parallax.js as a plugin, you're in luck!
$('#scene').parallax();
$('#scene').parallax({
calibrateX: false,
calibrateY: true,
invertX: false,
invertY: true,
limitX: false,
limitY: 10,
scalarX: 2,
scalarY: 8,
frictionX: 0.2,
frictionY: 0.8,
originX: 0.0,
originY: 1.0
});
var $scene = $('#scene').parallax();
$scene.parallax('enable');
$scene.parallax('disable');
$scene.parallax('updateLayers');
$scene.parallax('calibrate', false, true);
$scene.parallax('invert', false, true);
$scene.parallax('limit', false, 10);
$scene.parallax('scalar', 2, 8);
$scene.parallax('friction', 0.2, 0.8);
$scene.parallax('origin', 0.0, 1.0);
If you are writing a native iOS application and would like to use parallax.js within a UIWebView
, you will need to do a little bit of work to get it running.
UIWebView
no longer automatically receives the deviceorientation
event, so your native application must intercept the events from the gyroscope and reroute them to the UIWebView
:
#import <CoreMotion/CoreMotion.h>
and create a reference to the UIWebView @property(nonatomic, strong) IBOutlet UIWebView *parallaxWebView;
@property(nonatomic, strong) CMMotionManager *motionManager;
self.motionManager = [[CMMotionManager alloc] init];
if (self.motionManager.isGyroAvailable && !self.motionManager.isGyroActive) {
[self.motionManager setGyroUpdateInterval:0.5f]; // Set the event update frequency (in seconds)
[self.motionManager startGyroUpdatesToQueue:NSOperationQueue.mainQueue
withHandler:^(CMGyroData *gyroData, NSError *error) {
NSString *js = [NSString stringWithFormat:@"parallax.onDeviceOrientation({beta:%f, gamma:%f})", gyroData.rotationRate.x, gyroData.rotationRate.y];
[self.parallaxWebView stringByEvaluatingJavaScriptFromString:js];
}];
}
As a prerequisite, you will need gulp installed:
npm install -g gulp
npm install
gulp
During development you can have gulp watch the source
directory for changes and automatically build the deploy
files by running:
gulp watch
Matthew Wagerfield: @wagerfield
Licensed under MIT. Enjoy.


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PlayStation Store Malaysia Black Friday Sale Is Offering Up To 80% Discount On Select Games
by Heirul KamelThankfully you don’t have to wait until 29 November as the Black Friday sale on PlayStation Store Malaysia has already begun. The sale is offering discounts of up to 80% for select digital games on PS4, PS3, PS Vita and PSP, while also offering the 12-month subscription for PS Plus at only RM119 – 25% off from its original price.
Included in the sale are hit titles such as Guerrila’s Horizon: Zero Dawn, Rockstar’s Red Dead Redemption 2, and the PS4-exclusive Marvel’s Spider-Man GOTY Edition, just to name a few. Here are some of the popular picks from the PlayStation Store’s Black Friday sale:
PS4
- Monster Hunter: World – RM60.50
- Assassin’s Creed Odyssey – RM77
- Red Dead Redemption 2 – RM119.50
- Horizon: Zero Dawn Complete Editon – RM55.30
- The Witcher 3: Wild Hunt – RM56.70
- The Outer Worlds – RM186.75
- Spider-Man GOTY Edition – RM118.30
- Uncharted 4 – RM37
- Gran Turismo Sport – RM55
- Detroit: Become Human – RM55.30
PS Vita
- Persona 3 Dancing Moon Night – RM61.50
- Persona 5 Dancing Star Night – RM61.50
- Senran Kagura SHINOVI Versus – RM59.60
- Ys Origin – RM32.80
The PlayStation Store’s Black Friday sale will go on until 2 December 2019, and is a great opportunity for those who’ve not picked up on these hit titles. For a complete list of titles on discount for all of the PlayStation platforms mentioned earlier, do check out the official PlayStation Store page with the link below.
(Source: PS Store Malaysia)


Consortium Management Dashboard
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Hierarchy For All Packages
Package Hierarchies:
magic
,
magic.cards
Class Hierarchy
java.lang.Object
magic.
AbstractCreature
(implements magic.
Creature
)
magic.
AbstractCreatureDecorator
(implements magic.
CreatureDecorator
)
magic.
AbstractGameEntity
(implements magic.
GameEntity
)
magic.
AbstractCard
(implements magic.
Card
)
magic.cards.
Abduction
magic.cards.
AEtherBarrier
magic.cards.
AEtherFlash
magic.cards.
Afflict
magic.cards.
AggressiveUrge
magic.cards.
AncestralMask
magic.cards.
ArgothianEnchantress
magic.cards.
AuraBlast
magic.cards.
BarkshellBlessing
magic.cards.
BenevolentAncestor
magic.cards.
BoilingEarth
magic.cards.
BronzeSable
magic.cards.
CalmingVerse
magic.cards.
Cancel
magic.cards.
Darkness
magic.cards.
DayOfJudgment
magic.cards.
Deflection
magic.cards.
FalsePeace
magic.cards.
Fatigue
magic.cards.
NorwoodRanger
magic.cards.
SavorTheMoment
magic.cards.
VolcanicHammer
magic.cards.
WorldAtWar
magic.
AbstractEffect
(implements magic.
Effect
)
magic.
AbstractCardEffect
magic.
AbstractCreatureCardEffect
magic.
AbstractEnchantmentCardEffect
magic.
AbstractEnchantment
(implements magic.
Enchantment
)
magic.
AbstractPlayerDecorator
(implements magic.
PlayerDecorator
)
magic.
CardFactory
magic.
CardStack
(implements java.lang.Iterable<T>)
magic.
CombatEntry
magic.
ConcretePlayer
(implements magic.
Player
)
magic.
DecoratedCreature
(implements magic.
Creature
, magic.
Permanent
)
magic.
DecoratedPlayer
(implements magic.
Damageable
, magic.
Player
)
magic.
DefaultCombatAttack
(implements magic.
Phase
)
magic.
DefaultCombatDamage
(implements magic.
Phase
)
magic.
DefaultCombatDefense
(implements magic.
Phase
)
magic.
DefaultCombatPhase
(implements magic.
Phase
)
magic.
DefaultDrawPhase
(implements magic.
Phase
)
magic.
DefaultEndPhase
(implements magic.
Phase
)
magic.
DefaultMainPhase
(implements magic.
Phase
)
magic.
DefaultPhaseManager
(implements magic.
PhaseManager
)
magic.
DefaultTurnManager
(implements magic.
TurnManager
)
magic.
DefaultUntapPhase
(implements magic.
Phase
)
magic.
Library
magic.
Magic
magic.
SkipPhaseCount
(implements magic.
Phase
)
magic.
SkipPhaseUntilEnd
(implements magic.
Phase
)
magic.
StaticInitializer
java.lang.Throwable (implements java.io.Serializable)
java.lang.Exception
java.lang.RuntimeException
magic.
EndOfGame
magic.
Triggers
magic.
Utilities
Interface Hierarchy
magic.
CardConstructor
magic.
GameEntity
magic.
Card
magic.
Creature
magic.
CreatureDecorator
magic.
CreatureDecorator
magic.
Damageable
magic.
Creature
magic.
CreatureDecorator
magic.
CreatureDecorator
magic.
Effect
magic.
TargetingEffect
magic.
Enchantment
(also extends magic.
Permanent
)
magic.
Permanent
magic.
Enchantment
(also extends magic.
GameEntity
)
magic.
TargetingEffect
magic.
GameEntityVisitor
magic.
Phase
magic.
PhaseManager
magic.
Player
magic.
PlayerDecorator
magic.
TriggerAction
magic.
TurnManager
Enum Hierarchy
java.lang.Object
java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
magic.
Phases
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Karim Benzema's France career appears to be over as he requests to play for another country
by Pete HallKarim Benzema's international career with France appears to be over after he requested to be allowed to play for another country he is eligible for instead.
Benzema was suspended indefinitely from the France squad in December 2015 after being charged with conspiracy to blackmail team-mate Mathieu Valbuena over a sextape, but French federation president Noel Le Graet said in October 2016 that coach Didier Deschamps was free to call him up again.
La Graet has changed his stance, though, insisting on Saturday that Benzema - who remains without an international appearance since the Valbuena affair - is not part of France's plans and the "adventure is over with the French national team".
Real Madrid striker Benzema, who has been in fine form this season, issued an immediate response on social media, taking aim at La Graet, while offering a way out.
"Noel, I thought you weren't interfering with the coach's decisions!" Benzema wrote on Twitter. "I want you to know that I and I alone would end my international career.
"If you think I'm finished, let me play for one of the countries that I'm eligible for and we'll see."
Benzema was born to Algerian parents but, in 2006, turned down the chance to represent the African nation and, given he has played competitive matches for France, a change of allegiance will be difficult.


Getting started with setting up (configuring) Git on all distros
Difficulty: 1
Time: 5 minutes
Before you begin, you'll need to have Git installed. Choose your system for instructions:
After installing Git, set up your GitHub user name and email address. Every Git commit uses these details. Without them, you get an error message (and have to revise) each comment you make.
Git comes with a configuration tool called git config
that defines how it looks and works.
Git is now ready to use!
Here are some ideas on where to go from there:


The Modal is a dialog that appears on top of the app's content, and must be dismissed by the user before interaction can resume. It is useful as a select component when there are a lot of options to choose from, or when filtering items in a list, as well as many other use cases.


Dawn Witness Franz:
Hmm, so I end up owing you a favor after all! OK, take this stone...
"Is this a..."