public class StateLog
extends java.lang.Object
| Constructor and Description |
|---|
StateLog(int id,
byte[] initialState,
byte[] initialHash) |
StateLog(int id,
int k)
Constructs a State log
|
StateLog(int id,
int k,
byte[] initialState,
byte[] initialHash)
Constructs a State log
|
| Modifier and Type | Method and Description |
|---|---|
void |
addMessageBatch(byte[][] commands,
MessageContext[] msgCtx,
int lastConsensusId)
Adds a message batch to the log.
|
DefaultApplicationState |
getApplicationState(int cid,
boolean setState)
Constructs a TransferableState using this log information
|
int |
getLastCheckpointCID()
Retrieves the consensus ID for the last checkpoint
|
int |
getLastCID()
Retrieves the consensus ID for the last messages batch delivered to the application
|
CommandsInfo |
getMessageBatch(int cid)
Returns a batch of messages, given its correspondent consensus ID
|
CommandsInfo[] |
getMessageBatches()
Retrieves all the stored batches kept since the last checkpoint
|
int |
getNumBatches()
Retrieves the total number of stored batches kept since the last checkpoint
|
byte[] |
getState()
Retrieves the state associated with the last checkpoint
|
byte[] |
getStateHash()
Retrieves the hash of the state associated with the last checkpoint
|
void |
newCheckpoint(byte[] state,
byte[] stateHash,
int lastConsensusId)
Sets the state associated with the last checkpoint, and updates the consensus ID associated with it
|
void |
setLastCheckpointCID(int lastCheckpointCID)
Sets the consensus ID for the last checkpoint
|
void |
setLastCID(int lastCID)
Sets the consensus ID for the last messages batch delivered to the application
|
void |
update(DefaultApplicationState transState)
Updates this log, according to the information contained in the TransferableState object
|
public StateLog(int id, int k, byte[] initialState, byte[] initialHash)
id
- k
- The checkpoint periodinitialState
- initialHash
- public StateLog(int id, int k)
id
- k
- The checkpoint periodpublic StateLog(int id, byte[] initialState, byte[] initialHash)
public void newCheckpoint(byte[] state, byte[] stateHash, int lastConsensusId)
state
- State associated with the last checkpointstateHash
- lastConsensusId
- public void setLastCheckpointCID(int lastCheckpointCID)
lastCheckpointCID
- Consensus ID for the last checkpointpublic int getLastCheckpointCID()
public void setLastCID(int lastCID)
lastCID
- the consensus ID for the last messages batch delivered to the applicationpublic int getLastCID()
public byte[] getState()
public byte[] getStateHash()
public void addMessageBatch(byte[][] commands, MessageContext[] msgCtx, int lastConsensusId)
commands
- The batch of messages to be kept.msgCtx
- The message contexts related to the commandslastConsensusId
- public CommandsInfo getMessageBatch(int cid)
cid
- Consensus ID associated with the batch to be fetchedpublic CommandsInfo[] getMessageBatches()
public int getNumBatches()
public DefaultApplicationState getApplicationState(int cid, boolean setState)
cid
- Consensus ID correspondent to desired statesetState
- public void update(DefaultApplicationState transState)
transState
- TransferableState object containing the information which is used to updated this log


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temipes
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More options to get charged
by Jon ManchesterElectric vehicle drivers in Kelowna now have four charging options across the city.
FortisBC and the City of Kelowna recently installed two new direct current fast charge stations at Rutland’s Centennial Park on Shepherd Road, and the Kelowna Museum parking lot on Ellis Street.
These are in addition to two charging stations opened in June at Kelowna International Airport.
“These stations make fast charging readily available for drivers at the three points of entry into our community and close to city centres in Rutland and downtown," said Mayor Colin Basran.
With 10 per cent of all new vehicles purchased in B.C. now electric, expansion of the charging network supports growth and emissions reduction goals, particularly in B.C. where 98 per cent of electricity generation is clean power, the city said in a press release.
The stations can charge a compact electric vehicle in about 30 minutes, as compared to a Level-2 station that requires about three to four hours.
Users will be charged $9 per 30-minute charge, says Fortis.
“Partnering with communities and all levels of government to build EV charging infrastructure is one of the ways we’re working to reduce our customers’ emissions by 30 per cent by 2030,” said Michael Leyland with Fortis.
The new stations are part of 12 announced earlier this year by Fortis, bringing its planned network to 17 across 14 Southern Interior communities by the end of 2019.
The city contributed land and partial funding for the Kelowna stations.
Combined federal and provincial rebates of $8,000 are offered on electric vehicle purchases. Residents can also take advantage of incentives for at home and workplace charging stations. For more information visit fortisbc.com/electricvehicle.


Data Science Experience (DSX)
At DataWorks Summit this year, two giants of IT world IBM and Hortonworks announced their resolve to develop a tool that would harness enormous amount of data stashed in hadoop installations across different verticals to be utilised to predict insights into it (the data).
Though it was not a path breaking announcement as Data Scientists (or so called Data Charmers) were paid hefty amounts for this very reason.
Recently, IBM released DSX, a unified tool that addresses entire process of Data Science and Machine learning.
Why DSX?
“Data is the king and Queen” was the moto of every organization from the days of Industrial revolution. Companies had preserved this asset in Datawarehouses but often a big chunk of it remained untapped due to limited processing power at their disposal.
But almost a decade ago, with the advent of hadoop this has changed and now big amount of data can be processed using commodity hardware in reasonable time.
Earlier, Data Scientists build models using only a subset of data to learn patterns in it (small data, small learning) but using the compute provided by hadoop they can use big data to learn more accurate patterns in it (Big Data, Big Learning).So the combination of Data Science and Big data was inevitable that is why the leader in data analytics and Science,IBM and the prominet player of big data world, Hortonworks joined hands.
“Data is the new oil” is the moto of organisation(s) these days :):).
What is DSX ?
IBM Data Science Experience is an analytics environment that includes popular tools such as Jupyter Notebook, R studio on top of spark-as-a-service. Currently, Python, R, Spark is supported but efforts are going on to include Zeppelin popular tools among analytics community.
Using DSX one can abstract the complexities faced to intergate hetrogeneous tools to buid and deploy machine learning models. It has vibrant spark engine for processing the data, an object store to store computed models and seamless deployment of them from development into production.
It can also be used as a collaborating tool as different devlopres working on the same project can exchage ideas and code without any pain.Also,cognitive capabilities of the platform guides an inexperienced user to learn,design,develop and deploy ML models seamlessly.
Data Science EXperience is offered in three variants:
- DSX Cloud ,cloud based version
- DSX Local On-premise and
- DSX Desktop
Developers can develop on-premise and throw their code into production in cloud i.e develop scikit or R model locally using some data and score this model on some new data in the cloud.
Versioning capabilities built-in into DSX helps to put your model into continuous training loop i.e your model can adjust to the new incoming data and realign itself without hampring your end-users and performance.
Data store is not locked to one vendor.One can also use AWS S3 or some other cloud offering as well as MySQL.
Lot of community driven code(Jupyter Notebooks) and tutorials are also provided to master the craft of predicting.
How DSX ?
To learn more on DSX
1.Sign in for free trail(Limited Period)of DSX here .
2.Explore various tutorials and code books available at the dashboard (once you log in).
Disclimer: IBM and Hortonworks are registered trademarks of their respective owners.Images used in this post is sourced from Internet.


4.6. Comparison of List Implementations¶
4.6.1. Space Comparison¶
Now that you have seen two substantially different implementations for lists, it is natural to ask which is better. In particular, if you must implement a list for some task, which implementation should you choose?
Given a collection of elements to store, they take up some amount of space whether they are simple integers or large objects with many fields. Any container data structure like a list then requires some additional space to organize the elements being stored. This additional space is called overhead.
Array-based lists have the disadvantage that their size must be predetermined before the array can be allocated. Static array-based lists cannot grow beyond their predetermined size, but dynamic lists will automatically reallocate the array when needed. However, when the list has recently been reallocated, a substantial amount of space might be tied up in a largely empty array. This empty space is the overhead required by the array-based list. Linked lists have the advantage that they only need space for the objects actually on the list. There is no limit to the number of elements in either a linked list or a dynamic array-based list, as long as there is free store memory available.
The amount of space required by a linked list is directly proportional to the number of elements \(n\). Assuming that each list node takes up \(K\) bytes of memory, the full list will use \(Kn\) bytes. The amount of space required by an array-based list is in the worst case three times as much as \(n\) times the size of an array cell. (This worst case will arise when we remove a lot of elements from the list, because we wait until it is 1/3 full until we shrink the array). So assuming that one array cell takes up \(C\) bytes, the full array-based list will use at least \(Cn\) bytes, and at most \(3Cn\) bytes.
So, which one is the best? It depends on the size of the list nodes \(K\),
compared to the size of the array cells \(C\).
Array-based lists have the advantage that there is no wasted
space for an individual element.
Linked lists require that an extra pointer for the next
field be
added to every list node.
So the linked list has these next
pointers as overhead.
In many cases, \(K\) is 2–3 times as large as \(C\), so they will be
quite similar in size on average. But this depends on the programming language,
the operating system, and perhaps other factors.
Note that these calculations exclude the memory used by the actual list elements, since the lists themselves only contain pointers to the elements! And in many cases, the objects themselves are much larger than the list nodes (or array cells).
4.6.2. Time Comparison¶
Array-based lists are faster for access by position. To locate an element anywhere in the list is constant time, i.e., they take \(\Theta(1)\) time. In contrast, for singly linked lists, access by position requires that we march down the list from the front to the specified position. This requires \(\Theta(n)\) time in the worst case, which is when if we want to locate the very last element.
Assuming that we already have located a suitable location in the list,
insertion and removal are constant time, \(\Theta(1)\).
However, as already mentioned, finding that location takes \(\Theta(n)\),
so the add
and remove
methods are linear time, \(\Theta(n)\).
Array-based lists must shift the remainder of the list up or down
within the array.
This requires \(\Theta(n)\) time in the worst case.
Note that linked lists and array-based lists have different worst-case isntances! For a linked list, inserting/removing at the end takes the longest time, while for an array-base list, the problem is to insert/remove from the beginning.
<IP_ADDRESS>. When to use linked lists?¶
According to the calculations above, linked lists are worse than array-based lists, because all operations are slow (linear time). So why even bother using linked lists?
First there are limited versions of lists that can be implemented efficiently using linked lists, we will look at stacks and queues later. Second, our list API is not the best for linked lists. If we instead could have a pointer to the “current” list node, and have methods for moving forward and backward in the list, several of the operations can be constant time. In the Java standard API this is called a ListIterator, which is part of Java’s standard LinkedList.
But these advanced list iterators are not part of this course, and in fact there are not very algorithms where list iterators are particularly useful.
4.6.3. How are lists implemented in the standard libraries?¶
All serious languages have dynamic list implementations. Here are how they are implemented in Java and Python:
In Java, java.util.ArrayList implements dynamic arrays, meaning that the internal array grows automatically when necessary. The growth factor is 50%, so that if the array has size 1024, it will grow with another 512 elements. [Source: ArrayList.java] However, the ArrayList will never shrink automatically, but instead it’s up to the programmer to decide when to shrink it.
Java’s java.util.LinkedList implements doubly-linked lists, so that the iterator can move forward and backward through the list. [Source: LinkedList.java]
Python’s standard lists are dynamic. In fact, Python doesn’t even support fixed-length lists, so our code in this module is a bit of a hack. Python lists both grow and shrink the lists automatically, and the growth factor is 1/8 (12.5%), meaning that if the array has size 1024, it will grow with another 128 elements. It shrinks the array by 1/8 whenever less than half of the array is occupied. [Source: listobject.c]


 Your mother always says that one day, your curiousity is going to get you killed, or at least in some serious trouble.    The children's book has been read over and over, the pages have yellowed and and crumbled, and some are missing. You have a very vivid imagination, and you love hearing stories. Your favorite story is about a bird, who flies all around the world, and he encounters many different characters on his journey. You don't go anywhere without your stuffed bunny, you named him Rudy. Rudy is always in your arms, he's old, almost falling apart, and he smells of dirt and dust. However, for you, this smell is comforting.  You whisper all your secrets to Rudy, all your dreams and thoughts. You spend a lot of time playing and talking with your cousin David, your Aunt Susan's youngest son. David is as curious as you are, and he knows how to read. He reads every book he can get his hands on, and he doesn't mind your inquires. David is very bright and kind-hearted, he wants to become a physician, and help people.
You start the day with sunrise, your entire family gets up and start preparing for the days chores. You watch David and the other boys go to school. You go to the well along with one of your sisters to fetch water. When you come back home, your mother has prepared breakfast, it consists of porridge. After that, all 5 of you go out and work in the fields, collecting grains. You work the whole day with your family, and in the evening you go back home and have dinner, which consists of rice, sometimes rice and beans. On Friday mornings, you get to go with your mother to the village market. Here your mother sells the extra grain that you've collected during the week. Lately, there hasn't been much abundance in grains, your mother has been complaining that the dry season doesn't seem to ever end.
In the evenings, when all your chores are done, you sometimes see David.  David tells you stories that he's heard in school, about other countries and other people. One thing that you find extremely fascinating is that David claims that some people have running water in their homes, and not just cold water, but hot water too! They don't have to boil it or anything, they get it from something called a 'tap'. Your curiousity is generally satisfied by David's stories, at least for now. Your excitment to start school grows, more and more every day.
There's one thing you've been wondering about - who is your father? All the other children that you've met have a father and a mother, you only have a mother.
"Ma" you call for your mother's attention as she's cleaning some plates.
"Yes, chicken?" she doesn't turn towards you, nor does she stop humming.
"Do I have a father?"
Your mother drops the plate she has in her hands, it falls to the floor and shatters into a thousand pieces. She stops humming and turns toward you. You rush to your feet, to help her with broken plate, but she directs you to sit down on your bed.

"Why do you ask about your father?"
"Do I have one?"
She nods, slowly.
"Everyone has a father."
"If everyone has one, then where is mine?"
"You think too much for your own good sometimes, do you know that chicken?"
You don't say anything, you just look at your mother, waiting for her to continue talking.
 After what feels like an eternity, she her gaze turns back and focuses on you.
"Your father has several wives, I am his third wife." she pauses and looks into your eyes.
"Do you understand what I am saying, chicken?"
"It means that your father has more children, than you and your sisters."
"I have more siblings?" you say excitedly.
"Yes, chicken, but you're likely never seeing them"
"Why not?"

"When you were born, and I didn't give him the son he wanted. Your father abandoned us, he was already living in the city due to his job." she is looking you in your eyes when she's speaking, making sure that you understand what she's saying.
"Your father stopped visiting us, and he stopped sending us money. Not that he sent much anyway." she says bitterly.
"You know I love you, don't you chicken?"
 She pulls you in a tight hug, and her touch makes you feel loved, loved and wanted.


EBD - Easton Bible DIctionary
Nimshi
NIMSHI
"NIMSHI "saved. Jehu was “the son of Jehoshaphat, the son of Nimshi” (
2 Kings 9:2
; comp.
1 Kings 19:16
).
"NIMSHI "saved.


Animation() is an object that is a type of timed item that apply an animation effect to a target element.
It has the following interface:
new Animation(element, {effect},
{timing});
With the followng properties:
| Parameter | Type | Nullable | Optional | Description |
| element | Animation Target | Yes | No | The target element in which animations will apply onto. |
| effect | object | Yes | No |
The effects to be apply onto the newly created Animation object. If this parameter is null, the newly created Animation object will have no effects apply onto it. |
| timing | double or TimingDictionary | Yes | Yes | The timing properties of the sequence group
|


{% extends "base.html" %} {% block title %}About | {{ block.super }}{% endblock %} {% block header %}
{% endblock %} {% block content %}In the month of August 2013, just before the annual PyCon India conference, a bunch of volunteers came together and decided to spread the love of Python far and wide. A lot of colleges and instructors came together conducting numerous workshops, and we celebrated that month as the PythonMonth.
The response and enthusiasm was tremendous. The energy kept on flowing, inevitably leading to the thought that if people wanted to learn, and there were people ready to teach, why restrict ourselves to just one month? PythonExpress was born from that thought.
PythonExpress is an ongoing effort that aims to connect tutors, organizations and students. The ultimate goal behind this project is to create an avenue for the ones who want to learn, to come together with the ones who can teach, thereby helping to improve one's existing knowledge in Python as well as helping one to get a kickstart into the world of Python.
The exposure that the students gain from the workshops is more than just about Python as a programming language. It is also about the Python community. A community known around the world for its friendly and welcoming nature.
Last but not the least, we teach Python because we want to, and we love to.


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Tax
Subsidy
on
Select an activity
Conventional durum wheat
Organic durum wheat
Value of
0
%


| | |
- broaden_spectrum(spect, sigma)
- Broadens a peak defined in spect by the sigma factor and
returns the x and y data to plot.
Args:
----
spect (np.ndarray) -- input array containing the peak info for
the individual peak to be broadened.
sigma (float) -- gaussian broadening term for the peaks given.
Returns:
--------
plot_vals (list) -- a 2D array containing the x and y
values for plotting.
- compute_coulumb_matrixes(df, SMILES_column='SMILES', key_name=None, use_eigval=False, eig_sort=True, padding=True, output_file=None)
- Compute the fingerprints for an input dataframe with all the SMILES,
and output the results as an dictionary with json txt format.
Sources:
Using Coulomb matrix for machine learning on chemical context:
Grégoire Montavon et al 2013 New J. Phys. 15 095003
Args:
-----
df (pandas.DataFrame) -- an input dataframe with SMILES info
SMILES_column (str) -- the column name of SMILES
key_name (str) -- the column name for output dict key
use_eigval (bool) -- (Default True) If true, will return
just the eigenvalues of the coulomb matrix for each
molecule. If False, returns the Coulomb matrix itself.
eig_sort (bool) -- If True (default), sort the coulomb
matrices with their eigenvalues.
padding (bool) -- If True (default), pad all the coulomb
matrices to the maxium length in the dictionary with zeros.
output_file (str) -- If None, return a dict. Otherwise,
return a json txt file of the name given by the string.
Returns:
--------
fps_dict (dict) -- an dictionary whose values are the
fingerprints of the molecules, and the keys are the index
or names of the molecules.
- compute_features(df, SMILES_column='SMILES', key_name=None, output_file=None)
- Compute the fingerprints for an input dataframe with all the
SMILES, and output the results as a csv txt file (exported
by pandas).
Args:
-----
df (pandas.DataFrame) -- an input dataframe with SMILES info
SMILES_column (str) -- the column name of SMILES
key_name (str) -- the column name for output dict key
output_file (str) -- the string represntation of the
desired file output name. If None, return a dictionary.
Otherwise, output an json txt file.
Returns (if output_file not specified):
--------
feats_dict (dict) -- a dictionary containing all the molecule's
features.
- compute_fingerprints(df, SMILES_column='SMILES', key_name=None, radius=2, nBits=2048, use_features=False, padding=True, output_file=None)
- Compute the fingerprints for an input dataframe with all the SMILES, and
returns the results as a dictionary or as a json txt file.
Args:
-----
df (pandas.DataFrame) -- an input dataframe with SMILES info
SMILES_column (str) -- the column name of SMILES
key_name (str) -- the column name for output dict key
radius (int) -- passed to the rdkit function, this
represents the the number of atomic neighbours the finger-
print is evaluated for.
nBits (int) -- maxium number of bits for fingerprints
computation
use_features (bool) -- If True (default as False), use features to
compute fingerprints
padding (bool) -- If True (default), pad all the
fingerprints to the maxium length in the dictionary
with zeros
output_file (str) -- If None, return a dict. Otherwise
returns a json .txt file of filename given by the string.
Returns:
--------
fps_dict (dict) -- an dictionary contains the fingerprints
key -- name or index of the molecules
values -- a list of int
- compute_properties(df, SMILES_column='SMILES', index_name=None, output_file=None)
- Compute the fingerprints for an input dataframe with all the SMILES, and
output the results as a csv txt file (exported by pandas)
Args:
-----
df (pandas.DataFrame) -- an input dataframe with SMILES info
SMILES_column (str) -- the column name of SMILES
index_name (str) -- the index name for output DataFrame
index.
output_file (str) -- string representing the desired name
of the output file. If None, return a dataframe. Otherwise,
outputs as a txt file (must include .txt extension in file
name), where values are comma separated.
Returns:
--------
prop_df (pandas.DataFrame) -- data frame containing the
molecule's properties.
- draw_molecule(SMILES, filename)
- Draws the 2D skeletal structure of a molecule using the rdkit
package, returning the output to a file.
Args:
-----
SMILES (str) -- a string representation of the molecule.
filename (str) -- the name of the desired output file
containing the .png file extension. This file type is
required for implementation in the front end.
- get_em_max(clean_df, em_file_colname, prefix_dir)
- Retrieves the lambda max values from existing files in a list of
emission file names and appends them to a list, filling with
None if the file dosn't exist.
Args:
-----
clean_df (pandas.DataFrame) -- a df containing the cleaned data
em_file_colname (str) -- the name of column that contains the
emission filenames.
prefix_dir (str) -- string representing the directory in which
the original PhotoChemCAD data is contained.
Returns:
--------
emission (list) -- a list containing the lambda max values
- get_l_max(wavelength_intensity)
- Identifies and returns the wavelength of maximum intensity in a
2D array of wavelengths and intensities.
Args:
-----
wavelength_intensity (np.ndarray(2D), dtypes float)
-- a 2D array where the first coloumn contains the
wavelengths and the second column contains the intensities.
Returns:
--------
lambda_max (float) -- the wavelength of maximum intensity
- pad_ndarrays(input_dict)
- Pads out all arrays in the given input dictionary of arrays
with zeros so that they are all the same size and the
largest input array.
Args:
-----
input_dict (dict) -- input dictionary of arrays
Returns:
--------
input_dict (dict) -- the modified input dictionary,
where all arrays have been padded out.
- remove_cations(SMILES)
- Removes periodic table group 1 and 7 counterions from the SMILES
strings.
Args:
-----
SMILES (str) -- the SMILES string representation of the
molecule.
Returns:
--------
SMILES (str) -- the string representation of the molecule with
the counterions omitted.
- remove_deliminators(my_strings)
- Remove deliminators from numbers (i.e. commas) so as to be able
to process numbers as int or float types in place of strings.
Args:
-----
my_strings (list or np.ndarray) -- list of string
representations of numbers (i.e. ['1,306', '5,765']).
Returns:
--------
my_array (np.ndarray) -- array of floats.
- visualize(data, sigma=5.0, save_dir='../data/')
- Generate the displayed emission and abosrbance plot from the
informationpredicted by the model. Saves two files called
by the frontend, by the name of the input smiles string which
contain the absorption/emission spectrum as well as the
absorption and emission peaks. **NOTE** This takes in only one
row of a data frame at a time (only one molecule can be plotted
at once, hence the declared numpy array as input will work
with any list object as well as long as it follows the
structure detailed in the Args section below).
Args:
-----
data (list, np.ndarray) -- input array containing the info
for the molecule: [SMILES, abosrbance wavelength,
absorbance intensity, emission wavelength, emission
intensity]
sigma (float) -- (Default 5.0 nm) float designating
the gaussian broadening term applied to the peaks given
to the input peak.
Returns:
--------
|


Google's project 'Cache' will offer checking accounts in 2020
Source: Android Central
What you need to know
- Google is set to start offering checking accounts in 2020.
- The project is code-named 'Cache' and is a partnership with Citigroup and a Stanford University credit union.
- Users will be able to manage their accounts using the Google Pay app.
It looks like Google is poised to make a move against the Apple Card, with the Wall Street Journal reporting that the tech giant will begin offering checking accounts in 2020. The project, cleverly code-named "Cache", is a partnership between Citigroup and a Stanford University credit union which will handle the financial backend and regulatory compliance.
The front-end of the checking account will be handled by the Google Pay app to help manage your banking and payments digitally. When speaking to the WSJ, Google executive Caesar Sengupta also mentioned that there could be loyalty card programs included with the checking account as well.
Source: Android Central
Of course, one of the biggest concerns with Google becoming your bank of choice is data collection.  However, Google has stated that it won't sell checking or account data to advertisers, and noted that it doesn't currently use Google Pay data for advertising either.
Regardless, it still shines a light on how integral tech companies are becoming in our lives and how much data they have aggregated on us. Just recently, Google took criticism over data collection with "Project Nightingale" where it collected medical records of millions of patients across 21 states. Google's recent acquisition of Fitbit also has its community of users worried about what the advertising company will do with their data.
We won't learn much more about Cache until next year, but in the meantime, Google isn't the only one getting into financial services. Back in April of this year, T-Mobile opened its own online checking account T-Mobile MONEY, offering up to 4.00% APY. Then, just yesterday, Facebook Pay was announced which will eventually allow users to make payments via Facebook, Messenger, Instagram, and WhatsApp.
Healthcare data is big money and seeing Google involved shouldn't surprise you


Learn at this tutorial how to generate personal access token
Set up read:user, repo, write:repo_hook scopes


sdl2.ext.particles - A simple particle system¶
-
class
sdl2.ext.particles.
ParticleEngine
¶ A simple particle processing system. The
ParticleEngine
takes care of creating, updating and deleting particles via callback functions. It only decreases the life of the particles by itself and marks them as dead, once the particle’s life attribute has reached 0 or below.-
createfunc
¶ Function for creating new particles. The function needs to take two arguments, the
world
argument passed toprocess()
and a list of the particles considered dead (Particle.life
<= 0).def creation_func(world, deadparticles): ...
-
updatefunc
¶ Function for updating existing, living particles. The function needs to take two arguments, the
world
argument passed toprocess()
and aset
of the still living particles.def update_func(world, livingparticles): ...
-
deletefunc
¶ Function for deleting dead particles. The function needs to take two arguments, the
world
argument passed toprocess()
and a list of the particles considered dead (Particle.life
<= 0).def deletion_func(world, deadparticles): ...
-
process
(world : World, components : iterable) → None¶ Processes all particle components, decreasing their life by 1.
Once the life of all particle components has been decreased properly and the particles considered dead (life <= 0) are identified, the creation, update and deletion callbacks are invoked.
The creation callback takes the passed world as first and the list of dead particles as second argument.
def particle_createfunc(world, list_of_dead_ones): ...
Afterwards the still living particles are passed to the update callback, which also take the passed world as first and the living particles as set as second argument.
def particle_updatefunc(world, set_of_living_ones): ...
Finally, the dead particles need to be deleted in some way or another, which is done by the deletion callback, taking the passed world as first and the list of dead particles as second argument.
def particle_deletefunc(world, list_of_dead_ones): ...
-
-
class
sdl2.ext.particles.
Particle
(x, y, life : int)¶ A simple particle component type. It only contains information about a x- and y-coordinate and its current life time. The life time will be decreased by 1, every time the particle is processed by the
ParticleEngine
.-
x
¶ The x coordinate of the particle.
-
y
¶ The y coordinate of the particle.
-
life
¶ The remaining life time of the particle.
-
position
¶ The x- and y-coordinate of the particle as tuple.
-


Did you know 65% of Boston's public schools were built before WWII? And less than half of them have been renovated since? Find out how your neighbourhood's schools are doing.


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2011 Sponsors
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gcov960 Coverage Analyzer
gcov960 produces basic-block coverage analysis of a program. When
a program is compiled with the fdb
compiler driver option, a corresponding database directory is
created. Whenever the program is executed, test coverage information
is recorded in a profile file called default.pf.
Subsequent runs will overwrite this file; use gmpf960 to merge
profiles.
gcov960 takes optional source files and module names as arguments.
It reads the source file and produces an annotated listing of
the source file with the coverage data in file.cov
(if the rl
option is used). Each statement within a basic block is prefixed
with the number of times it has been executed. Lines that have
not been executed are prefixed with ########.
The gcov960 coverage invocation command is:
gcov960 [
-control ]... [ file [=module,...]...]
[ -option ]...
gcov960 controls and options
are described below. Each option must be preceded by a -
character. (On DOS, you can also use a /
character.)
file identifies
a source file, from the profiled program represented in the program
database. Specifying file=module,...
restricts the operation of gcov960 to the file or module(s).
- c
{ p | m | f | s }
- cp
Produces a program-level coverage report.
- cm
Produces module- and program-level coverage report.
- cf
Produces function-, module-, and program-level coverage report.
- cs
Produces a source- and module-level coverage report.
- f
n
Produces the n
most and least frequently executed lines. If the n
specified is negative, it reports the least frequently executed
lines. When used with rl,
the report is attached to the source-annotated listing.
- g [h]
Produces a call-graph listing of the profiled
program. h
is optional; it attaches an explanation of how to interpret the
call-graph listing to the report.
- n new-profile
Compares two profile files. The files default.pf
or the file specified in p
or iprof
options are compared against the new-profile
file and a just-hit or just-missed lines are reported. The r
control is required with n.
- r {
l | h | m }
- rl Produces
a source-annotated listing.
- rh Produces
the line numbers within basic blocks that were hit.
- rm Produces
the line numbers within basic blocks that were missed.
- C
Calculates the total number of execution counts in
a profile file.
- help
Prints a help message.
- I search-dir
Adds the directory to the list of paths gcov960 searches
for source files.
- p
| iprof file
Specifies the profile information file. If this
option is not specified, default.pf
is used.
- Q[n]
As n
goes from 0 to 9, Qn
means to ignore hits except from functions are of increasing accuracy
(decreasing amounts of interpolation). The default is Q9,
which means to ignore hits for all functions except those with
perfect profiles. Q0
means to not ignore hits from any functions, even those with completely
guessed profiles.
A profile's quality gradually drops as changes are made to the
code it was collected from and interpolation is done to make it
useable by gcc960, ic960, and gcdm960.
- q
Suppresses display of version, copyright notices,
profile file and database used.
- t
Truncates displayed names to keep them within column
widths.
- V
Prints the version number and continues.
- v960
Prints the version number and exits.
- Z pdb_dir
Specifies the program database directory.
Return
to the top of this page.
Go
to the ic960 Interface Index.
Go
to the gcc960 Interface Index.


If you change the configurations of the current project, please don't forget to reload it.
Hide managers layers
If you check "Hide managers layers", a "simple" contributor will not be able to see the layer of a project manager.
A project manager will still be able to see all layers.
Hide contributors layers
If you check "Hide contributor layers", a "simple" project contributor will not be able to see a layer from an other contributor.
A project manager will still be able to see all layers.
Blind Mode
If blind mode is enabled, a contributor will not see image filename. The filename will not influence his work. Filename potentially contains the type of experiment.
Editing mode will change authorizations of contributors. A project manager will still be able to see, add,edit or delete data for this project.
Classic
Contributors will be able to add/edit or delete project data, annotations, properties and descriptions on all layers.
Restricted
Contributors will not be able to add/edit or delete project data except annotations, properties and descriptions on his own layer.
Read Only
Contributors will not be able to add/edit or delete project data, annotations, properties and descriptions even on his own layer.
Enable retrieval search on all projects (same ontology)


Who left X Factor: Celebrity last night in the fourth live show of the series?
X Factor: Celebrity is inching closer to its final, with just seven remaining acts taking to the stage in Saturday night’s quarter-final.
With the show having lost two acts from each of its previous live shows, Saturday’s show saw just one act lose their place in the competition, with the bottom two having to sing to win their place in the semi-final next weekend.
With Simon having axed the ‘safe seats’ earlier in the show, nobody had a guaranteed passage to next week – but who ended up in the sing-off and who was sent home?
Here’s what happened on the night…
Who left X Factor: Celebrity last night?
Saturday night’s show saw Glee star Kevin McHale take on footballer-turned-actor Vinnie Jones in the sing-off.
And while Kevin performed Labrinth’s Something’s Got To Give in his bid to remain in the competition, Vinnie performed an acapella rendition of Irish shanty The Galway Shawl, which he dedicated to his late wife Tanya.
Advertisement Advertisement
And ultimately it was Kevin who was sent home – in spite of Vinnie pleading with Simon Cowell to save Kevin and vote him out of the competition instead.
‘Simon…I feel that I’ve had a fantastic time, I’ve really enjoyed it – it’s been everything I’ve needed since my wife’s passing. This guy is a real singer, I think he can win it, for his career, I would like to step down and let him go through,’ Vinnie said.
Despite his plea Simon ‘To be fair, I would like to make the final decision please, regardless,’ before adding: ‘The last person in the world I would like to have a fall out with is Vinnie Jones, which means we’re going to have to fall out because I’m going to insist that you stay in the competition.
‘This is not disrespect to Kevin, I am voting with my heart…I think you have a chance of winning this competition still.’
Vinnie agreed, saying: ‘He’s the boss,’ as Kevin was voted out of the show – but he took the defeat gracefully.
‘It’s all good,’ he said. ‘How good was everybody tonight? I felt like I did really well and that’s all you can do.’
Who is left in X Factor: Celebrity?
Here’s who’s made it through to the semi-final:
Advertisement Advertisement
- Megan McKenna (unders, Louis Walsh)
- Try Star (groups, Simon Cowell)
- V5 (groups, Simon Cowell)
- Max and Harvey (groups, Simon Cowell)
- Vinnie Jones (overs, Nicole Scherzinger)
- Jenny Ryan (overs, Nicole Scherzinger)
Simon also announced on last weekend’s show that the final would feature a wild card act from among those who have been eliminated.
The X Factor: Celebrity continues next Saturday on ITV at 7.40pm.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


I'm currently a junior electrical engineering student at Stevens Institute of Technology. I live by learning new skills at every opportunity I get. I use my skills to build polished and functional circuits, engineering solutions and websites.
I strive to build strong relationships through communication, positivity and motivation in order to push myself and others to achieve more.
Programming is a tool that allows me to create products that suite multiple applications from engineering to web development.
Embedded Systems are where programming and engineering meet the real world. I use engineering applications to turn concepts into real products.
Office of Residence Life - Resident Assistant
Society of Hispanic Professional Engineers - Treasurer
La Unidad Latina, Lambda Upsilon Lambda, Fraternity Inc. - Treasurer
Insititute of electrical and electronics engineers - Member
Jersey Cares Volunteering - Project Manager
HTML/CSS
SQL
Javascript
Razor
Visual Basic
C/C#/C++
Java
Matlab
Python
LabView
Eagle PCB Design
Solidworks
Adobe Creative Suite
Microsoft Visual Studio
Microsoft Office Suite


Equip your kid with essential skills like
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Offering extensive curriculum in technology for students ranging from basics of coding to scientific research, rational designing, robotics.
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Students will be able to set in motion corporeal mobile apps, technical replicas and gadgets like tech-entrepreneurs and scientists.


The Deep Learning algorithm uses a training dataset to build a model. In this tutorial, we will use the popular Prostate cancer dataset for model building.
The prostate dataset is provided here. Please, download it and save it on your disk.
To upload the dataset into H2O application, please, use the menu option Data > Upload or direct link.
Alternatively, Data can be imported from a URL directly into H2O application, please, use the menu option Data > Import Files or direct link.


Girls Coding Day Sunday morning we will gather together at Shenzhen … Visit Us at Da Chong Commercial Center. Professor: Jiang Zhuozhou Shen Zhen Coach Jiang is GREAT ! a b c d


| Total net profit | -5.24 | Gross profit | 1.96 | Gross loss | -7.2 |
| Profit factor | 0.27 | Expected payoff | -0.03 | ||
| Absolute drawdown | -5.24 | Maximal drawdown (%) | 5.2 (-13000.0%) | ||
| Total trades | 173 | Profit trades (% of total) | 33 (19.08%) | Loss trades (% of total) | 140 (80.92%) |
| Long positions (won %) | 100 (21.0%) | Short positions (won %) | 73 (16.44%) | ||
| Largest | profit trade | 0.35 | loss trade | -0.18 | |
| Average | profit trade | 0.06 | loss trade | -0.05 | |
| Minimum | profit trade | 0.0 | loss trade | -0.01 | |
| Maximum | take profit in pips | 667.1 | stop loss in pips | -182.8 | |
| Average | take profit in pips | 112.5 | stop loss in pips | -53.0 | |
| Minimum | take profit in pips | -89.3 | stop loss in pips | -15.8 | |
| Maximum | Reward-Risk | 11.8 | Duration in minutes | 99 | |
| Average | Reward-Risk | 2.6 | Duration in minutes | 10.2 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 4.0 (0.14) | consecutive losses (loss in money) | 20.0 (-0.91) | |
| Average | consecutive wins | 1.0 | consecutive losses | 5.0 |
| Total net profit | -3.47 | Gross profit | 1.2 | Gross loss | -4.67 |
| Profit factor | 0.26 | Expected payoff | -0.03 | ||
| Absolute drawdown | -3.47 | Maximal drawdown (%) | 3.51 (8775.0%) | ||
| Total trades | 100 | Profit trades (% of total) | 21 (21.0%) | Loss trades (% of total) | 79 (82.0%) |
| Largest | profit trade | 0.35 | loss trade | -0.18 | |
| Average | profit trade | 0.06 | loss trade | -0.06 | |
| Minimum | profit trade | 0.0 | loss trade | -0.01 | |
| Maximum | take profit in pips | 573.4 | stop loss in pips | -182.8 | |
| Average | take profit in pips | 101.3 | stop loss in pips | -60.3 | |
| Minimum | take profit in pips | -89.3 | stop loss in pips | -23.0 | |
| Maximum | Reward-Risk | 11.0 | Duration in minutes | 99.0 | |
| Average | Reward-Risk | 1.9 | Duration in minutes | 12.5 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0.0 | |
| Maximum | consecutive wins (profit in money) | 3.0 (0.09) | consecutive losses (loss in money) | 18.0 (-0.99) | |
| Average | consecutive wins | 1.0 | consecutive losses | 4.0 |
| Total net profit | -1.77 | Gross profit | 0.76 | Gross loss | -2.53 |
| Profit factor | 0.3 | Expected payoff | -0.02 | ||
| Absolute drawdown | -1.77 | Maximal drawdown (%) | 1.73 (-4325.0%) | ||
| Total trades | 73 | Profit trades (% of total) | 12 (16.44%) | Loss trades (% of total) | 61 (83.56%) |
| Largest | profit trade | 0.16 | loss trade | -0.16 | |
| Average | profit trade | 0.06 | loss trade | -0.04 | |
| Minimum | profit trade | 0.01 | loss trade | -0.02 | |
| Maximum | take profit in pips | 667.1 | stop loss in pips | -162.7 | |
| Average | take profit in pips | 127.8 | stop loss in pips | -42.9 | |
| Minimum | take profit in pips | -13.1 | stop loss in pips | -15.8 | |
| Maximum | Reward-Risk | 11.8 | Duration in minutes | 87.0 | |
| Average | Reward-Risk | 3.4 | Duration in minutes | 7.0 | |
| Minimum | Reward-Risk | Duration in minutes | 0.0 | ||
| Maximum | consecutive wins (profit in money) | 3.0 (0.09) | consecutive losses (loss in money) | 11.0 (-0.41) | |
| Average | consecutive wins | 1.0 | consecutive losses | 6.0 |


I come from Satkhira at divission Khulna. Its the south-west corner of Bangladesh.
In previous I was in
Labsha Imadul Haq Secondary School in my SSC session from 2006 to 2011,
Satkhira City College in my HSC session, from 2011-2013
and in Jugrajpur Govt. Primary School from 2001-2005 in my primary session.
I love programming. It's my passion. I like to generate idea to solve a problem, that can be anything like real life problem or problem of IQ etc.


The reason I . Ubisoft Forums - Powered by vBulletin. Help · Log in .
http://forums.ubi.com/showthread.php/704095-Masons-Forums
Treatment for Herniated or Bulging Discs
Illuminati/Freemason Thread - Page 3 - Stormfront
The masons themselves are selective, and that is the proper way to be when attaining . The only thing the entry level freemason would know, is that it's just a fraternity of men . F. Scott Fitzgerald . Powered by vBulletin .
http://www.stormfront.org/forum/t342385-3/
Gould - History of Freemasonry Throughout the World Vol. 2 _1936_
Feb 14, 2011 . ANTONY SAYER, Gentleman, Grand Master of Masons, who being forthwith invested with the Badges of Office and Power by the said Mr Jacob .
http://www.docstoc.com/docs/71621491/Gould---History-of-Freemasonry-Throughout-the-World-Vol-2-_1936_
f freemasons powered by vbulletin Herniated or Bulging Discs
I want to become a freemason!
Bluelight - Powered by vBulletin. Help . Go to a Freemasons web site and get familiar with the basic expectations and . I hs t t pnl f my ob. 1.
http://www.bluelight.ru/vb/threads/353234-I-want-to-become-a-freemason!
[General Discussion] What Is Your Opinion On Freemasonry ...
Sep 8, 2012 . What is your opinion on Freemasonry, the Illuminati & other secret societies? What are thier . Anime-Forums.com :: Anime forums community discussion forum - Powered by vBulletin . May 2012; Orlando, FL; Male; 761 .
http://www.anime-forums.com/showthread.php?133089-What-Is-Your-Opinion-On-Freemasonry-Illuminati-amp-Other-Secret-Societies
The Freemason Grand Lodge New York. - Let's Roll Forums
The ornately decorated rooms of the Freemasons' meeting place . subway: F, N, R, 1 to 23rd St. . Powered by vBulletin® Version 3.8.6 .
http://letsrollforums.com/freemason-grand-lodge-new-t26267.html
Official Impairment Listing for Spinal Disorders
So, what exactly are the Free Masons?
If they are christian masons they are confused. For we walk by faith, not by . Purpose driven life". "In this world, God's work, must truly be our own" - John F. Kennedy. . Powered by vBulletin® Version 4.2.0. Copyright © 2012 .
http://forums.carm.org/vbb/showthread.php?64076-So-what-exactly-are-the-Free-Masons
- edmonton pawn shop a1 (narrowing of the spine)
Freemason's Lodge - Glock Talk
A place to share experiences and learn about a Freemason's way of life. . Powered by vBulletin® Version 3.8.7. Copyright ©2000 - 2012, vBulletin Solutions, .
http://glocktalk.com/forums/forumdisplay.php?f=192Freemasonry ... cult or a boys club? [Archive] - Bluelight
I've been interested in Freemasonry for a very long time. . Just replace the F word with drugs in that quote and you have a certain other .
http://www.bluelight.ru/vb/archive/index.php/t-642740.html
Gould - History of Freemasonry Throughout the World Vol. 4 _1936_
Feb 14, 2011 . History of Freemasonry, freemasonry exposed, freemasonry secrets, powered by phpbb, powered by vbulletin, freemasonry books, .
http://www.docstoc.com/docs/71621527/Gould---History-of-Freemasonry-Throughout-the-World-Vol-4-_1936_
Gould - History of Freemasonry Throughout the World Vol. 3 _1936_
Feb 14, 2011 . A Masonic Banquet - A Toast 66. The Reception of an Apprentice 84. A Freemason's Lodge, Frederick the Great Presiding go F. L. Schroeder .
http://www.docstoc.com/docs/71621503/Gould---History-of-Freemasonry-Throughout-the-World-Vol-3-_1936_
Medical-Vocational Allowance for Herniated Disc
Freemasons links to establishment cover up in North Wales case ....
Project Avalon Community Forum - Powered by vBulletin . THE NORTH Wales Child Abuse Tribunal cleared freemasonry of any involvement .
http://projectavalon.net/forum4/showthread.php?51846-Freemasons-links-to-establishment-cover-up-in-North-Wales-case-....
Freemasonry - Club Conspiracy Forums
Threads in Forum : Freemasonry, Forum Tools . Lightbulb. Why do Masons hang out in conspiracy forums ? . Powered by vBulletin® Version 3.6.12 .
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Appealing a Denial of Benefits
Masonic lodge, Folly Island
Sir and ma'am, an image of a Masonic Lodge, Folly Island, 1863. . Authentic Campaigner Website & Forums - Powered by vBulletin · Help .
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Talk:Secrecy and Freemasons - About Freemasons
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---
layout: post
title: ''
date: '2008-07-25T13:35:00-07:00'
tags:
tumblr_url: http://alexhwilliams.tumblr.com/post/43546469/i-found-this-on-jeff-altworths-blog-about-the
---
I found this on Jeff Altworth’s blog about the 21st annual Oregon Brewer’s Festival in Portland this weekend.
Person Jeff Altworth’sRight click for SmartMenu shortcuts


UK NATIONAL LOTTERY HEADQUARTERS:
P O Box 1010 Liverpool, L70 1NL UNITED KINGDOM
(Customer Services)
Dear Lucky Winner,
We are pleased to inform you of the result of the just concluded annual final draws of UNITED KINGDOM NATIONAL LOTTERY international Lottery programs. The online cyber lotto draws was conducted from an exclusive list of 21,000 e-mail addresses of individual and corporate bodies picked by an advanced automated random computer search from the internet, no tickets were sold.After this automated computer ballot, your e-mail address emerged as one of two winners in the category \"D\" with the following winning information:
REF No: UKNL-L/200-26937
BATCH No: 2005MJL-01
TICKET No:<PHONE_NUMBER>3-7644
SERIAL No: S/N-00168
LUCKY No: 887-13-865-37-10-83
You as well as the other winner are therefore to receive a cash prize of £500,000 (Five hundred thousand Pounds Sterling) each from the total payout. Your prize award has been insured with your e-mail address and will be transferred to you upon meeting our requirements, statutory obligations, verifications, validations and satisfactory report.To begin the claims processing of your prize winnings you are advised to contact our licensed and accredited claims agent for category \"D\" winners with the information below:
To file for your claim, please contact the processing agent;
Agents Name: Mr.Fidelio Walter
<EMAIL_ADDRESS>TEL :+44 70319 42079
+44<PHONE_NUMBER>
Please note; You are hereby advice to send the asign Fiduciary Agent,
details below for Processing of your Claims;
(1.)FULL NAME :
(2.)FULL ADDRESS :
(3)NATIONALITY :
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(7 )DATE OF WINNING NOTIFICATION :
(9) TOTAL AMOUNT WON :
(10)MARITAL STATUS :
(11)PRESENT COUNTRY :
Congratulations once more from our members and staff and thank you for
being part of our promotional program.
Sincerely,
Mrs. Helen Anderson.


The History of Computing at the University of Michigan
University of Michigan's history of computing is highly complex. This site aims to feature highlights of that history, not chronicle it exhaustively. Sources consulted for this timeline are located within the university archives; those used most are the Board of Regents Proceedings and the Computing Center record group. Authors of the site invite commentary.
The History of Computing at the University of Michigan Timeline was created by Alice Goff, graduate student archivist, and Nancy Deromedi, archivist, at the Bentley Historical Library. Earlier research was done by Mary Ann Williams as part of the Archives Practicum (SI 692), Winter 2007. In 2012, the timeline was updated by Elise Reynolds, a graduate student archivist.
Note: The software used to create the Computing at Michigan Timeline is open-source and was created and maintained by the Simile Project at the Massachusetts Institute of Technology. We would like to acknowledge in particular the kind support of David Francois Huynh, MIT PhD student, and custodian of the Timeline application.