Enabling Fast Data using in memory-centric computing with Tachyon
Tachyon
“Tachyon is a memory-centric distributed storage system
enabling reliable data sharing at memory-speed across cluster frameworks.”
AmpLab BDAS
“BDAS, the Berkeley Data Analytics Stack, is an open source software stack that integrates software
components being built by the AMPLab to make sense of Big Data.”
AmpLab BDAS
Tachyon architecture
Tachyon architecture
##Storage types
- Tachyon Storage
- multi layer (tiered storage) for storing user files
- may be volatile
- accessible by schema tachyon://[path]
- Underfs storage: 3rd party file system used for persisting tachyon journal, lineage and eventually for user files sync
##Writing Data
When a user writes a new block, it is written to the top tier by default (a custom allocator can be used if the default behavior is not desired). If there is not enough space for the block in the top tier, then the evictor is triggered in order to free space for the new block.
##Reading Data
Tachyon will simply read the block from where it is already stored. If Tachyon is configured with multiple tiers, then the block will not be necessarily read from the top tier, since it could have been moved to a lower tier transparently.
##Block Promotion
Reading data with `TachyonStorageType.PROMOTE` configuration will ensure the data is first transferred to the top tier before it is read from the worker.
This can also be used as a data management strategy by explicitly moving hot data to higher tiers.
##Lineage
Tachyon can achieve high throughput writes and reads, without compromising fault-tolerance by using Lineage
- lost output is recovered by re-executing the jobs that created the output.
- applications write output into memory, and Tachyon periodically checkpoints the output into the under file system in an asynchronous way.
In case of failures, Tachyon launches job recomputation to restore the lost files.
Lineage assumes that jobs are deterministic.
lineage
##Lineage API (alpha)
```
TachyonLineage tl = TachyonLineage.get();
// input file paths
TachyonURI input1 = new TachyonURI("/inputFile1");
TachyonURI input2 = new TachyonURI("/inputFile2");
List inputFiles = Lists.newArrayList(input1, input2);
// output file paths
TachyonURI output = new TachyonURI("/outputFile");
List outputFiles = Lists.newArrayList(output);
// command-line job
JobConf conf = new JobConf("/tmp/recompute.log");
CommandLineJob job = new CommandLineJob("my-spark-job.sh", conf);
long lineageId = tl.createLineage(inputFiles, outputFiles, job);
```
Transparent Naming
Transparent naming maintains an identity between the Tachyon namespace and the underlying storage system namespace.
Unified Namespace
- Tachyon provides a mounting API that makes it possible to use Tachyon to access data across multiple data sources.
##Tachyon shell
- provides basic file system operations (ls, rm, cat, mv, tail, touch etc.)
- provides "special" operation
- persist: persists data from Tachyon storage to the under fs
- pin / unpin: marks / unmarsk a file or folder as pinned in Tachyon (i.e. no eviction will be applied)
- load: load data from under storage into Tachyon storage
- report: marks a file as lost to the Tachyon master. Marking a file as lost will cause the
master to schedule a recomputation job to regenerate the file.
##Remote Write support
```
$ java -cp
SW/tachyon-0.8.2/assembly/target/tachyon-assemblies-0.8.2-jar-with-dependencies.jar
-Dtachyon.master.hostname=backpressure-master
tachyon.shell.TfsShell copyFromLocal icla.pdf /
```
ex. spark memory management
Execution engine
Storage engine
Temporary data and block manager are in the same spark job
GC involved in both of them
Share data between jobs using file system
ex. spark off_heap storage
Execution engine
Storage engine
storage engine stores data in a different process
GC involved only in execution engine
Share data between jobs using Tachyon at memory speed
ex. spark off_heap storage
def persist(newLevel: StorageLevel): this.type
class StorageLevel private(
private var _useDisk: Boolean,
private var _useMemory: Boolean,
private var _useOffHeap: Boolean,
private var _deserialized: Boolean,
private var _replication: Int = 1)


Burnley's Dyche won't tone down diving criticism
Burnley boss Sean Dyche has no intention of toning down his criticism of players diving in the Premier League even though, he says, other "prominent managers" have warned him it could harm his career.
REUTERS: Burnley boss Sean Dyche has no intention of toning down his criticism of players diving in the Premier League even though, he says, other "prominent managers" have warned him it could harm his career.
Dyche was critical of Chelsea's Callum Hudson-Odoi last weekend after the winger received a yellow card for what Dyche described as a "shambolic" dive in the box during Burnley's 4-2 home defeat.
"I've been told by other prominent managers to stop going on about it because it will affect my career," Dyche said.
"I said, 'Sorry, not my bag'. You have to be true to yourself and able to look at yourself in the mirror... I don't want to see it or my kid to see it.
"I've spoken to the powers that be about retrospective bans for cheating. Sorry, you can't call it that anymore, it's simulation. We've got a meeting coming up with the Premier League and it's one of the talking points, so that could be interesting."
The 48-year-old lamented the fact he was being portrayed as the villain for discussing the subject.
"Bear in mind I've been in football all my life, I've watched it all my life, at every age group ... and people are going down with nothing wrong with them," Dyche added.
"And somehow I end up coming out of it the bad guy, I can't fathom it at all."
(Reporting by Rohith Nair in Bengaluru; Editing by Peter Rutherford)


APP DEVELOPMENT PRACTICAL GROUP 1 [TIC TAC TOE GAME]
Show Group Members
Hide Group Members
S/N
NAME
MATRIC NUMBER
COURSE
1
Madichie Chikezie
12CM013939
Mech. Engr.
2
DONGO YANNICK
12CK013851
ICE
3
EKPIN UDORI
12CK013852
ICE
Play!


 It is ok to use CSS height if you can guarantee that the boxes will always have the same amount of content in them, but that's not always the case. If you try the example above on a mobile phone (or resize the browser window), you will see that the second box's content will be displayed outside of the box.
Go back to the tutorial and find another solution, if this is not what you want.


Longest Ordered Subsequence
问题描述 :
A numeric sequence of ai is ordered if a1 < a2 < ... < aN. Let the subsequence of the given numeric sequence (a1, a2, …, aN) be any sequence (ai1, ai2, …, aiK), where 1 <= i1 < i2 < ... < iK <= N. For example, sequence (1, 7, 3, 5, 9, 4, 8) has ordered subsequences, e. g., (1, 7), (3, 4, 8) and many others. All longest ordered subsequences are of length 4, e. g., (1, 3, 5, 8).
Your program, when given the numeric sequence, must find the length of its longest ordered subsequence.
Your program, when given the numeric sequence, must find the length of its longest ordered subsequence.
输入:
The first line of input file contains the length of sequence N. The second line contains the elements of sequence – N integers in the range from 0 to 10000 each, separated by spaces. 1 <= N <= 1000
输出:
Output file must contain a single integer – the length of the longest ordered subsequence of the given sequence.
样例输入:
7 1 7 3 5 9 4 8
样例输出:
4
解题代码:
import java.io.BufferedInputStream; import java.util.Scanner; public class Main { public static void main(String[] args) { Scanner scan = new Scanner(new BufferedInputStream(System.in)); if (scan.hasNext()) { int n = scan.nextInt(); int[] data = new int[n]; int[] count = new int[n]; for (int i = 0; i < n; i++) { int a = scan.nextInt(); data[i] = a; count[i] = 1; int max = count[i]; int flag = 0; for (int j = i - 1; j >= 0; j--) { if (data[i] > data[j]) { if (count[j] > max) { max = count[j]; } flag = 1; } } if (flag == 1) { count[i] = max + 1; } } int max = count[0]; for (int i = 1; i < n; i++) { if (count[i] > max) { max = count[i]; } } System.out.println(max); } } }
(adsbygoogle = window.adsbygoogle || []).push({});
没错的，再乘以m的就多余了
remove没有实现
DFS方法的原理还是不太清楚啊
27行 minStack.push(minValue); 去掉就对了
排版
目前为止见过的最易懂的一个，多谢分享
哎，path[0]应该是从零开始吧，为什么是赋值1呢？
使用ListNodeWrapper很蹩脚的感觉，没有更好的解决办法？
第二个程序编译都通不过， int L[m+1][n+1];这样定义出错，应该换成具体的数字ac


Bryan Azofeifa B.
Follow me @bryancr89
It's an MV* framework for build web apps!
I think that AngularJS it's MVVM
The templates are HTML that contains directives and data binding.
Scope is nothing but an object that Glues the View with Controller
Set up the initial state of the scope object.
Add behavior to the scope object.
{{greeting}}
// If minify this is going to fail.
myApp.controller('GreetingCtrl', function($scope) {
$scope.greeting = 'Hello!';
});
// Fixed
myApp.controller('GreetingCtrl', ['$scope', function($scope) {
$scope.greeting = 'Hello!';
}]);
Basically you should handle the app logic in services, then you can reuse the service through the controllers.
The services are Lazy instantiated & Singletons
You can create a service using the methods (service, factory & provider)
app.service( 'myService', function() {
this.name = "default name";
});
app.factory( 'myFactory', function() {
var name = "default name";
return {
name: name
};
});
Are markers on a DOM (Attr, element name, comment or CSS class) that attach a specified behavior to that DOM element or even transform the DOM element and its children.
AngularJS provides directives like (ng-click, ng-repeat, etc).
Also you can create your custom directives.
Makes easy to wire together controllers, view templates, and the current URL location in the browser.
ngRoute & ui.router are the most popular modules
var app = angular.module('angularDemo',
['ngAnimate', 'ngCookies', 'ngTouch',
'ngSanitize', 'ui.router']);
app.config(function ($stateProvider, $urlRouterProvider) {
$stateProvider.state('home', {
url: '/',
templateUrl: 'partials/main.html',
controller: 'MainCtrl'
});
$urlRouterProvider.otherwise('/');
});
Don't waste your time learning a framework, library like (Angular, React, Ember)
...yet!
Learn JS first!!


Source code for pandemic_simulator.environment.pandemic_testing_strategies.random_testing
# Confidential, Copyright 2020, Sony Corporation of America, All rights reserved.
from typing import Optional, cast
import numpy as np
from ..interfaces import PersonState, InfectionSummary, IndividualInfectionState, PandemicTestResult, PandemicTesting
__all__ = ['RandomPandemicTesting']
[docs]class RandomPandemicTesting(PandemicTesting):
"""Implements random pandemic testing based on the specified probabilities."""
_spontaneous_testing_rate: float
_symp_testing_rate: float
_critical_testing_rate: float
_testing_false_positive_rate: float
_testing_false_negative_rate: float
_retest_rate: float
_numpy_rng: np.random.RandomState
def __init__(self,
spontaneous_testing_rate: float = 1.,
symp_testing_rate: float = 1.,
critical_testing_rate: float = 1.,
testing_false_positive_rate: float = 0.01,
testing_false_negative_rate: float = 0.01,
retest_rate: float = 0.033,
numpy_rng: Optional[np.random.RandomState] = None):
"""
:param spontaneous_testing_rate: Testing rate for non symptomatic population.
:param symp_testing_rate: Testing rate for symptomatic population.
:param critical_testing_rate: Testing rate for critical population.
:param testing_false_negative_rate: False negative rate of testing
:param testing_false_positive_rate: False positive rate of testing
:param retest_rate: Rate to retest a peron
:param numpy_rng: Random number generator
"""
self._spontaneous_testing_rate = spontaneous_testing_rate
self._symp_testing_rate = symp_testing_rate
self._critical_testing_rate = critical_testing_rate
self._testing_false_positive_rate = testing_false_positive_rate
self._testing_false_negative_rate = testing_false_negative_rate
self._retest_rate = retest_rate
self._numpy_rng = numpy_rng if numpy_rng is not None else np.random.RandomState()
[docs] def admit_person(self, person_state: PersonState) -> bool:
infection_state = cast(IndividualInfectionState, person_state.infection_state)
if person_state.test_result == PandemicTestResult.DEAD:
# A person is not tested if he/she is dead
return False
elif infection_state.summary == InfectionSummary.DEAD:
return True
rnd = self._numpy_rng.uniform()
test_person = (
# if the person is in a hospital, then retest deterministically
infection_state.is_hospitalized or
# if the person was tested before, then retest based on retest-probability (independent of symptoms)
(person_state.test_result in {PandemicTestResult.CRITICAL,
PandemicTestResult.POSITIVE} and rnd < self._retest_rate) or
# if the person shows symptoms, then test based on critical/symptomatic-probability
(infection_state.shows_symptoms and (
(infection_state.summary == InfectionSummary.CRITICAL and rnd < self._critical_testing_rate) or
(infection_state.summary != InfectionSummary.CRITICAL and rnd < self._symp_testing_rate))) or
# if the person does not show symptoms, then test based on spontaneous-probability
(not infection_state.shows_symptoms and rnd < self._spontaneous_testing_rate)
)
return test_person
[docs] def test_person(self, person_state: PersonState) -> PandemicTestResult:
positive_states = {InfectionSummary.INFECTED, InfectionSummary.CRITICAL}
infection_state = cast(IndividualInfectionState, person_state.infection_state)
if infection_state.summary == InfectionSummary.DEAD:
return PandemicTestResult.DEAD
test_outcome = infection_state.summary in positive_states
# account for testing uncertainty
rnd = self._numpy_rng.uniform()
if test_outcome and rnd < self._testing_false_negative_rate:
test_outcome = False
elif not test_outcome and rnd < self._testing_false_positive_rate:
test_outcome = True
critical = infection_state.summary == InfectionSummary.CRITICAL
test_result = (PandemicTestResult.CRITICAL if test_outcome and critical
else PandemicTestResult.POSITIVE if test_outcome else PandemicTestResult.NEGATIVE)
return test_result


{% include 'header.html' %}
{% include 'menu.html' %}
Authorize to account:
Email:
Password:
Submit
{% if form is defined %} {% if error is defined and error %}
There were some errors with authorization
{{ error }}
{% else %}
Authorization was successful.
Will redirect you in 3 seconds!
{% endif %} {% endif %}
{% include 'footer.html' %}


Hikoi
Home
Blog
About
Contact
Projects
Cultural blog 9 - Leadership....
Tech blog 8 Scope....
He aha te mea nui o te ao? he tangata! he tangata! he tangata!
Whats the most important thing in the world? Its the people! The people! The people!


Contents¶
- LICENSE
- Deep Learning Tutorials
- Getting Started
- Classifying MNIST digits using Logistic Regression
- Multilayer Perceptron
- Convolutional Neural Networks (LeNet)
- Denoising Autoencoders (dA)
- Stacked Denoising Autoencoders (SdA)
- Restricted Boltzmann Machines (RBM)
- Deep Belief Networks
- Hybrid Monte-Carlo Sampling
- Recurrent Neural Networks with Word Embeddings
- LSTM Networks for Sentiment Analysis
- Modeling and generating sequences of polyphonic music with the RNN-RBM
- Miscellaneous
- References
- Fully Convolutional Networks (FCN) for 2D segmentation
- Network for 1D segmentation
- U-Net


Part 1: Parse
Walkthrough of parsing our sample data.
Module Setup
Module Location: new-coder/dataviz/lib/tutorial_source/parse.py
Open up parse.py
.
Notice the first two lines - the first defines the type of language (Python)
that this file is, and that the Python interpreter should use UTF-8 encoding as
opposed to ASCII (default), Latin-1, or other encodings.
1 2 | #!/usr/bin/python
# -*- coding: utf-8 -*-
|
Lines 4 - 15 is an introduction to the module, as well as any copyright and/or license information.
In order to read a CSV/Excel file, we have to import the csv module from Python's standard library.
1 | import csv
|
MY_FILE
is defining a global - notice how it's all caps. Included in this repo is a sample file to which this variable is assigned.
The Parse Function
In defining the function, we know that we want to give it the CSV file, as well as the delimiter in which the CSV file uses to delimit each element/column.
1 | def parse(raw_file, delimiter):
|
We also know that we want to return a JSON-like object. A JSON file/object is just a collection of dictionaries, much like Python's dictionary.
1 2 3 | def parse(raw_file, delimiter):
return parsed_data
|
Let's be good coders and write a documentation-string (doc-string) for future folks that may read our code. Notice the triple-quotes:
1 2 3 4 | def parse(raw_file, delimiter):
"""Parses a raw CSV file to a JSON-line object"""
return parsed_data
|
What we have now is a pretty good skeleton - we know what parameters the function will take (raw_file
and delimiter
), what it is supposed to do (our """doc-string"""), and what it will return, parsed_data
. Notice how the parameters and the return value is descriptive in itself.
Let's sketch out, with comments, how we want this function to take a raw file and give us the format that we want. First, let's open the file, and the read the file, then build the parsed_data element.
1 2 3 4 5 6 7 8 9 10 | def parse(raw_file, delimiter):
"""Parses a raw CSV file to a JSON-line object"""
# Open CSV file
# Read CSV file
# Build a data structure to return parsed_data
return parsed_data
|
Thankfully, there are a lot of built-in methods that Python has that we can use to do all the steps that we've outlined with our comments. The first one we'll use is open()
and pass raw_file
to it, which we got from defining our own parameters in the parse()
function:
1 | opened_file = open(raw_file)
|
So we've told Python to open the file, now we have to read the file. We have to use the CSV module that we imported earlier:
1 | csv_data = csv.reader(opened_file, delimiter=delimiter)
|
Here, csv.reader()
is a function of the CSV module. We gave it two parameters: opened_file, and delimiter. It's easy to get confused when parameters and variables share names. In delimiter=delimiter
, the first 'delimiter' is referring to the parameter that csv.reader()
needs; the second 'delimiter' refers to the parameter that our parse()
function takes in.
Just to quickly put these two lines in our parse()
function:
1 2 3 4 5 6 7 8 9 10 11 12 | def parse(raw_file, delimiter):
"""Parses a raw CSV file to a JSON-line object"""
# Open CSV file
opened_file = open(raw_file)
# Read CSV file
csv_data = csv.reader(opened_file, delimiter=delimiter)
# Build a data structure to return parsed_data
return parsed_data
|
Note: For the curious - the csv_data object, in Python terms, is now a generator. In simple terms, this means we can iterate over each element in csv_data later.
Alright - the building of the data structure might seem tricky. The best way to start off is to set up an empty Python list to our parsed_data
variable so we can add every row of data that we will parse through.
1 | parsed_data = []
|
Good - we have a good data structure to add to. Now let's first address our column headers that came with the CSV file. They will be the first row, and we'll asign them to the variable fields
:
1 | fields = csv_data.next()
|
Note: For the curious - we were able to call the .next() method on csv_data because it is a generator.
Let's loop over each row now that we have the headers properly taken care of. With each loop, we will add a dictionary that maps a field (those column headers) to the value in the CSV cell.
1 2 | for row in csv_data:
parsed_data.append(dict(zip(fields, row)))
|
Here, we iterated over each row in the csv_data item. With each loop, we appended to the list,parsed_data
a dictionary. We use Python's built-in zip()
function to zip together field -> value to make our dictionary of every row.
Now let's put the function together:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | def parse(raw_file, delimiter):
"""Parses a raw CSV file to a JSON-like object"""
# Open CSV file
opened_file = open(raw_file)
# Read CSV file
csv_data = csv.reader(opened_file, delimiter=delimiter)
# Setup an empty list
parsed_data = []
# Skip over the first line of the file for the headers
fields = csv_data.next()
# Iterate over each row of the csv file, zip together field -> value
for row in csv_data:
parsed_data.append(dict(zip(fields, row)))
return parsed_data
|
TODO Add clearer text of what parsed_data.append(dict(zip(fields, row)))
does. Remove the magic! :D
Using the new Parse function
Let's define a main()
function to call our new parse()
function:
1 2 3 4 5 | def main():
# Call our parse function and give it the needed parameters
new_data = parse(MY_FILE, ",")
# Let's see what the data looks like!
print new_data
|
We called our function parse()
and gave it the MY_FILE
global variable that we defined at the beginning, as well as the delimiter ","
. We assign the function to the variable new_data
since the parse()
function will return a parsed_data
object. Last - we print new_data
to see our list of dictionaries!
One final bit - when running a Python file from the command line, Python will execute all of the code found on it. Since the following bit is True,
1 2 | if __name__ == "__main__":
main()
|
it will call the main()
function. By doing the name == main check, you can have that code only execute when you want to run the module as a program (via the command line) and not have it execute when someone just wants to import the parse()
function itself.
Putting it to action
So you've written the parse function and your parse.py
file looks like mine. Now what? Let's run it and parse some d*mn files!
Be sure to have your virtualenv activated that you created earlier in setup. Your terminal prompt should look something like this:
1 | (DataVizProject) $
|
Within the new-coder/dataviz/lib/
directory, let's make a directory for the python files you are writing with the bash command mkdir <Directory_Name>
. The ls
command will show you the list of what the current directory (new-coder/dataviz/lib/) contains, and should show your new directory. The pwd
command shows you where exactly you are in the terminal (your path may be different).Finally, cd
into your new directory:
1 2 3 4 5 6 | (DataVizProject) $ mkdir MySourceFiles
(DataVizProject) $ ls
data full_source MySourceFiles tutorial_source
(DataVizProject) $ pwd
Users/lynnroot/MyProjects/new-coder/dataviz/lib
(DataVizProject) $ cd MySourceFiles
|
Go ahead and save your copy of parse.py into MySourceFiles (through Save As within your text editor). You should see the file in the directory if you return to your Terminal and type ls
.
To run the python code, you have to tell the Terminal to execute the parse.py file with python:
1 | (DataVizProject) $ python parse.py
|
If you got a Traceback, or an error message, compare your parse.py file with new-coder/dataviz/lib/tutorial_source/parse.py. Perhaps a typo, or perhaps you don't have your virtualenv setup.
 For reference, the last bit of output you should see in your terminal should look like (doesn't have to be exact data, but the structure of {"key": "value"} should look familiar):
1 2 3 4 | 'ARRESTED, BOOKED'},{'Category': 'OTHER OFFENSES', 'IncidntNum': '030204238',
'DayOfWeek': 'Tuesday', 'Descript': 'OBSCENE PHONE CALLS(S)', 'PdDistrict':
'PARK', 'Y': '37.7773636900243', 'Location': '800 Block of CENTRAL AV', 'Time':
'18:59', 'Date': '02/18/2003', 'X': '-122.445006858202', 'Resolution': 'NONE'}]
|
You see this output because in the def main()
function, you explicitly say print new_data
which feeds to the output of the Terminal. You could, for instance, not print the new_data
variable, and just pass the new_data
variable to another function. Coincidently, that's what Part II and Part III are about!
Explore further
Play around with parse.py within your Python interpreter itself. Make sure you're in your MySourceFiles
directory, then start the Python interpreter from there:
1 2 3 4 5 | (DataVizProject) $ python
Python 2.7.2 (default, Jun 20 2012, 16:23:33)
[GCC 4.2.1 Compatible Apple Clang 4.0 (tags/Apple/clang-418.0.60)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>>
|
To exit out of the Python shell, press CTRL-D
.
Next, import your parse.py file into the interpreter. Notice there is no need to include the .py portion when importing:
1 2 | >>> import parse
>>>
|
If all things go well with import parse
you should just see the >>>
prompt. If there's an error, perhaps you are not in the correct directory from two steps ago.
Play with the following commands. Notice to access any object defined in parse.py (object meaning a variable, function, etc), you must preface it with parse
:
1 2 3 4 5 6 7 8 9 | >>> parse.MY_FILE
'../data/sample_sfpd_incident_all.csv'
>>> type(parse.MY_FILE)
<type: 'str'>
>>> copy_my_file = parse.MY_FILE
>>> copy_my_file
'../data/sample_sfpd_incident_all.csv'
>>> type(copy_my_file)
<type: 'str'>
|
So we made a what seems like a copy. Not so! check it out:
1 2 3 4 5 | >>> id(copy_my_file)
4404350288
>>> id(parse.MY_FILE)
4404350288
>>>
|
Those numbers from calling the id()
function reflect where the variable is saved in the computer's memory. Since they are the same number, Python has set up a pointer from copy_my_file
to the same location that parse.MY_FILE
was saved. No need to allocate new memory for the same variable.
Let's play with the parser function a bit:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | >>> new_data = parse.parse(copy_my_file, ",")
>>> type(new_data)
<type: 'list'>
>>> type(new_data[0])
<type: 'dict'>
>>> type(new_data[0]["DayOfWeek"])
<type: 'str'>
>>> new_data[0].keys()
['Category', 'IncidntNum', 'DayOfWeek', 'Descript', 'PdDistrict', 'Y', 'Location', 'Time', 'Date', 'X', 'Resolution']
>>> new_data[0].values()
['FRAUD', '030203898', 'Tuesday', 'FORGERY, CREDIT CARD', 'NORTHERN', '37.8014488257836', '2800 Block of VAN NESS AV', '16:30', '02/18/2003', '-122.424612993055', 'NONE']
>>> for dict_item in new_data:
... print dict_item["Descript"]
...
DRIVERS LICENSE, SUSPENDED OR REVOKED
LOST PROPERTY
POSS OF LOADED FIREARM
<--snip-->
BATTERY
OBSCENE PHONE CALLS(S)
>>>
|
Here we checked ot the type of data that gets returned back to use from the parse function, as well as ways to simply check out what is the contents of the parsed data.
You can continue to play around; try >>> help(parse.parse)
to see our docstring, see what happens if you feed the parse function a different file, delimiter, or just a different variable. Challenge yourself to see if you can create a new file to save the parsed data, rather than just a variable. The example in the python docs may help.


{{speaker?.about1}}
{{speaker?.about2}}
{{speaker?.about3}}
{{speaker?.about4}}
{{speaker?.about5}}
{{speaker?.about6}}
{{speaker?.about7}}
{{speaker?.about8}}
{{speaker?.about9}}
{{speaker?.about10}}
{{speaker?.about11}}
{{speaker?.about12}}
{{speaker?.about13}}
{{speaker?.about14}}
{{speaker?.about15}}
{{speaker?.about16}}
{{speaker?.about17}}
{{speaker?.about18}}
{{speaker?.about19}}
{{speaker?.about20}}
{{speaker?.about21}}
{{speaker?.about22}}
{{speaker?.about23}}
{{speaker?.about24}}
{{speaker?.about25}}
{{speaker?.about26}}
{{speaker?.about27}}
{{speaker?.about28}}
{{speaker?.about29}}
{{speaker?.about30}}
{{speaker?.about31}}
{{speaker?.about32}}
{{speaker?.about33}}
{{speaker?.about34}}
{{speaker?.about35}}
{{speaker?.about36}}
{{speaker?.about37}}
{{speaker?.about38}}
{{speaker?.about39}}
{{speaker?.about40}}
{{speaker?.about41}}
{{speaker?.about42}}
{{speaker?.about43}}
{{speaker?.about44}}
{{speaker?.about45}}
{{speaker?.about46}}
{{speaker?.rules0}}
{{speaker?.rules1}}
{{speaker?.rules2}}
{{speaker?.rules3}}
{{speaker?.rules4}}
{{speaker?.rules5}}
{{speaker?.rules6}}
{{speaker?.rules7}}
{{speaker?.rules8}}
{{speaker?.rules9}}
{{speaker?.rules10}}
{{speaker?.rules11}}
{{speaker?.rules12}}
{{speaker?.rules13}}
{{speaker?.rules14}}
{{speaker?.rules15}}
{{speaker?.rules16}}


park
BAND
Observed Trends
October 8, 2017
Weekly
VView John's compiled, weekly at home tremor readings.
See Results
Monthly
View monthly analysis and findings of John's tremor readings.
Set Results
Calendar


On the other hand, as the name Wulfstan shows, the word Wulf is one of the commonest compounds in Anglo-Saxon names, appearing also in Beowulf (lit. "bee-wolf," a kenning for "bear"), Cynewulf, Ealdwulf and Ethelwulf.
Surnames like Lowell, Lovel, and Lovett are versions of diminutives of "wolf" in Old French or Anglo-Norman, either from nicknames "wolf cub," or meaning "son of Wolf." They came to England with the Normans. Richard Luvel (Ricardus lupellus in a c.1118 charter from Sussex) was descended from William, earl of Yvery, who was called Lupellus to distinguish him from his father, Robert, who had acquired the nickname Lupus because of his violent temper. The Italian equivalent, Lupino, was the name of a theatrical family who settled in England by 1642.
[Wulf by itself, however, was late and uncommon as a personal name in O.E. Redin (M. Redin, "Studies on Uncompounded Personal Names in Old English," Uppsala, 1919) doubts if any of the examples are really native and not from Viking. The modern frequency of the surname in the U.S. is due to immigrants from Germany.]
A similar ambivalence seems to have characterized the attitude toward Elves, who were regarded by the ancient Germanic peoples as a race of powerful supernatural beings. On the one hand, there are metrical charms against curses and injuries thought to be caused by the malevolent work of Elves. On the other hand, Ælf ranks with wulf among the most popular component in Anglo-Saxon names, many of which survive as modern given names and surnames: Ælfræd "Elf-counsel" (Alfred), Ælfwine "Elf-friend" (Alvin), Ælfric "Elf-ruler" (Eldridge), also women's names such as Ælfflæd "Elf-beauty."
It's possible that these and other given names had become traditional and were bestowed without a thought to their etymologies. Modern English-speaking people have and give names simply because they like the sound of them or because they are the names of relatives or close friends. But the play on the name of king Æðelræd II, in his epithet of Unræd, seems to argue against this, at least in the case of the Anglo-Saxons. His subjects must have known his name means "good-counsel" before they could convert it to "no-counsel."
The wolf, it seems, earned esteem for ferocity and courage. From ancient times people cross-bred their dogs with wolves. The Louvre in Paris is said to be so named because its builder, Philip Augustus, intended it as a wolf kennel.
Germanic folklore in general seemed to associate the bear with the solitary champion but the wolf with young warriors. In Hrafnsmal (composed c.900 C.E.), the warriors of Harald Fairhair of Vestfold in Norway are called "wolf-coats" because of their fierce fighting quality. But wolf as an outlaw who preys on society is also a force, in the person of the young warrior hiding in the forest, waiting for vengeance. The hero Sigmund and his son Sinfjotli, preparing to avenge their kinsmen on King Siggeir, hid in the forest, put on wolfskins, and spoke with the voices of wolves [Volsunga saga].
Old English werewulf has two spellings: Werwulf, the name of a priest known to Alfred and mentioned in Asser's "Life of Alfred," and werewulf, with its proleptic -e-, in Wulfstan's "Homily" 16b. In the ninth century it's a proper name; in the eleventh it's a synonym for the Devil, the wodfreca werewulf against whom all shepherds should guard their flock.
Those are the only two appearances in Old English, but there are many variants in other Germanic languages -- Wargwolf, waragulph, etc. -- many of them, like Alfred's Werwulf, used as proper and place names. The later Scandinavian versions have verulfr, "man/wolf." Marie spells the word three different ways in her "Bisclavret": garwal, garwaf, garwalf.
French loup-garou is a redundancy: "wolf-man-wolf." The garou (O.Fr. garoul) is cognate with the garulph, gerulphos in Norman versions of the word, which breaks down to gar/war/wer "man" and ulph/wlf "wolf." It seems to have been an attempt to wrestle O.H.G. *werawolf or its Frankish equivalent into the Gallic/Romanic sound system of the French tongue. But the French now use garou to mean any kind of were-transformation: chien-garou (changing into a dog) chat-garou, etc.
There are two ideas here:
1.) A man who behaves in a wolf-like predatory and destructive manner, cf. waelwulfas. "Werwulf" as a name for a man also may have had the same kind of prestige that "Wolfgang" still enjoys, back before identification with wolves and wolfpacks became associated with the criminal and the demonic.
2.) A man who can change into a wolf and back. This condition is also called lycanthropy. Lykos is Greek for "wolf," anthropos for "man." Old diagnoses of lycanthropy can often be attributed to the inherited defect called porphyria. Greek lycanthropos is much earlier than the Germanic words, and from the beginning seems to have been limited to madness. Later medieval and early modern writers described lycanthropy using the terms dementia canina, melancholia lupina or canina. This described a human being who thought he was a wolf, ate raw flesh, dug up graves, howled at the moon, ran around on all fours. In the 15th and 16th centuries, the term lycanthropy replaced these, and a distinction was made (sometimes indistinctly) between the madman and the sorceror.
There's been a lot of controversy over the Old English word wearg. Mary Gerstein's article, which tries to reinstate the meaning of Germanic warg as "werwolf," has been largely rejected. Wearg and German warg go back to a similar root that may have meant "strangler"; some etymologists (T.A. Karston and others) see this as a "taboo word" for "wolf," but this hasn't been universally accepted. Michael Jacoby and Jos. Weitenberg remark that it is only late, and mostly in Norse, that vargr (cognate with warg) acquires the meaning "wolf" along with "criminal." In Old English, wearg means almost exclusively "criminal" or "accursed being."
The Lex Salica, the Lex Ripuaria (both in Latin and using the word wargus) and the Scandinavian Gra'ga's (in Icelandic and using the word varg) all have legal language wherein they declare a criminal a warg -- related to our Old English wearg. In the Lex Salica and Ripuaria, as in some ancient Greek laws, this term refers to outcasts: "Let him be warg," or, "let him be as a wolf for X amount of time who has done X." -- said of men whose behavior is so terrible that exile is the severest punishment. This isn't to say that the warg wasn't seen as having a wolfish quality, or that warg/wearg/vargr wasn't a synonym for a wolf in ancient times. It's just that we don't have proof.
This phrasing also turns up in some Hittite texts. Punishment by exile and "wargness" is usually reserved for heinous crimes like digging up graves or oath-breaking. But Jaan Puhvel shows that the Hittite word for "wolf" is not the one that relates to warg. It's the word hurkel in the Hittite laws that has etymological relationship with warg. This word means a sex-offender.
The Hittite says this:
If anyone abducts a woman and if those who go after/behind, three persons or two persons, are killed, there will be no compensation. You have become a wolf. UR-BAR-RA.
This word is not the hurkel word. So Weitenberg is fairly skeptical that there is any proof that warg/hurkel definitely meant "wolf" rather than just "heinous person."
Nonetheless, the wolf has long been associated with certain anti-social human behaviors: lack of decency, overwhelming sexual and other appetite, digging up graves (no sense of propriety), turning on brother wolf (no ability to honor an oath). So it's no wonder that the werewolf and the heinous criminal are bound in association. Perhaps there was a common thread in Indo-European tribal law associating criminals with wolves and other things "out there in the night."
The "wolf-man" is a pretty universal concept, appearing in cultures all over the world that encounter wolves (Navajo, Sioux, etc.). The Scandinavian warriors had an established mythology about wolf-warriors in the ulfhethennir and the berserkir, Loki and Fenris.
A Roman view of the wolf may be reflected in the Latin lupa, literally "she-wolf," which was a term for "prostitute," and has yielded words for "whore" in some Romance languages (cf. Spanish loba, Italian lupa, French louve).
Some ancient Greek associations between gods and wolves might have sprung from confusion of lykos "wolf" and words derived from the disused Greek word lyke "light."
"Zeus Lykaios" was associated with wolves. The myth told of a man named Demetrius who was turned to a wolf by the god, but, if he could refrain from eating human flesh, could regain his human form. If he ate the flesh he was cursed to remain a wolf. It is strongly possible that the word Lykaios comes from lyke, but from the masculine form of the noun.
According to A.B. Cooke's "Zeus A Study In Ancient Religion," Zeus Lykaios was Zeus wolf-god and also Zeus the Light god. But there was a definite cult of Zeus Lykaios at a temple on Mt. Lykaion in Arkadia. According to Cooke, he-wolves were kept at Zeus Lykaios's sanctuary there as sacred animals. [Volume I, Chapter 3 pages 63-99.] They offered human sacrifices to him. Pliny and Augustine both mention the temple. Many of his imagines were dressed in wolf skins. Zeus Lykaios also had a cult at Kyrene, and coins with this image were found at Sparta.
Lykaon the son of Pelasgos, built a town of Lykasoura on the slopes of Mt. Lykaion in Arkadia. He gave Zeus the name Zeus Lykaios. He held a festival called Lykaia. There are several scholars who disagree about lykos meaning "wolf," from lyke which means "she-wolf."


We aggregate interfaces!
- mesh synergistic platforms
- transform B2C action-items
- cultivate value-added eyeballs
- embrace global mindshare
- engage front-end infrastructures
- architect seamless content
- brand integrated infomediaries
- syndicate user-centric synergies
- brand proactive convergence
- syndicate end-to-end e-tailers
- productize magnetic relationships
- strategize synergistic partnerships


Dear user, {{name}}!
We migrated from old cloud to new cloud!
And now we have new password:
{{password}}


Jupyter distinguished contributor, Member of the Jupyter Widgets steering council
Skills
Experiences
Integrated the Cytoscape to the Jupyter Ecosystem as a widget[1]. Created C++ kernels to run SQLite[2] and later on general SQL code[3] with data visualization built-in in the Jupyter Notebook. Developed a package manager for R that's 25x faster than CRAN[4] and a deprecation finder for JupyterLab that runs on static code based on Memestra[5]. I also wrote an article on different jupyter notebooks visualizations[6]. Extensily contributed to Mamba, an OS agnostic package manager written in C++.
[1] Interactive Graph Visualization in Jupyter with ipycytoscape[2] A Jupyter kernel for SQLite
[3] An SQL solution for Jupyter
[4] Rhumba: a faster R distribution
[5] Memestra!
[6] Looking at notebooks from a new perspective
Technologies: Python, C++, Typescript, Javascript, CMake, CI, git, Multiplatform
Responsible for maintaining and building new features for PySide (the Python bindings for Qt). Developed the "Default" menu and templates for PySide on QtCreator. Addressed bugs and worked on overall housekeeping activities in the PySide repository and community. Wrote documentation and a Qt to PySide code converter, a tool that automatically translate docs from Qt to PySide2.
I published an article in the official Qt page about a demo I've developed to show the interaction with PySide, QML and Python machine learning libraries in the QtCon Berlin - 2019.
You can check part of my contributions here.
Technologies: Python, C++, QML, NLP, git, Jira
Cut the average loading time of the Webcompat website by 35% by using server-side rendering, HTTP/2 and better compression algorithms.
Using tests designed on Selenium I was able to track down some performance bottlenecks and decrease the page load time by 1s in low-speed mobile connections.
Removed embedded JS libraries that weren't necessary while making some small changes to the code base to keep the same behaviour.
Worked on some small patches for Firefox that are available on my bugzilla profile.
Technologies: Backbone, Jinja, NodeJS, Backbone, Flask, nginx, Jquery, git, Phabricator, Python, Javascript, Selenium
Integrated the company's chatbot system with several Whatsapp APIs (unofficial and official ones). Added new simple functionalities to the chatbot. Designed and implemented a metrics dashboard including the backend. Modernization and optimization of the API.
Technologies: Python, Javascript, NodeJS, Flask, Bootstrap 3, AngularJS, Express, Docker, MySQL, Agile methodology, MVC


Active transportation is any form of travel through the use of active means, such as walking, cycling, skateboarding and scooting. There are currently no recommendations for active transportation, although children and young people should be encouraged to take active forms of transport whenever possible. Research has shown that active transportation, especially travel to and from school, contributes a substantial portion to children and young people’s overall physical activity level and is linked with higher levels of energy expenditure. The guidelines for physical activity levels for children and young people can be found under the ‘overall physical activity level’ indicator.
For the 2016 Report Card, the Research Work Group used the proportion of children and young people who use active transportation to get to school, as the benchmark for grading the Active Transportation indicator.
The National Survey for Wales conducts a 25-minute face-to-face interview with one adult (aged 16+) in each household across Wales. 10,493 interviews with parents of primary & secondary school children were recorded. The data revealed that 44% of primary school children and 34% of secondary school pupils travel actively to school (walk with an adult, walk on their own or with other children, plus a few that cycle).
The HBSC/SHRN is a school-based survey with data collected through self-completion questionnaires administered in the classroom.The survey was carried out on a nationally representative sample and was completed by over 100,000 children and young people aged 11-16 years in Wales. The HBSC/SHRN data reported that 33.79% (34,637 children and young people aged 11-16) walk/cycle TO school and 36.09% walk/cycle FROM school (10,257 children and young people aged 11-16).
The School Sport Survey (2015) provides data on 115,398 children aged 7-16 years old from across Wales. This is the largest available survey data on children and young people’s active transportation. The data showed that overall, 40% of children and young people reported they walked, cycled, scooted or skated to school. Further, 44% of Primary School Pupils (school years 3-6) and 37% of Secondary School Pupils (school years 7-11) reported they walked, cycled, scooted or skated to school.
The Health Behaviour in School-aged Children (2013/14) collects data on 9,055 children and young people aged 11-16 years old from secondary schools in Wales. The data showed that 32% (34% boys, 31% girls) completed the main part of their journey to school by walking or cycling. In this survey, the data indicates that little has changed in the proportion of children and young people who actively travelled to school between the years 2006 to 2014.
The National Survey for Wales (2014/15) conducts a 25-minute face-to-face interview with one adult (aged 16+) in each household across Wales. 14,285 interviews with parents of primary and secondary school children were recorded. The data from this survey showed that 49% of primary school children, and 35% of secondary school pupils walked to school regardless of distance from home to school.
Data provided by Sustrans Wales from their hands up survey on 4,356 children and young people in 2014/15, reported 53.7% of children aged 7-16 years old travel to school either by walking, cycling, or scooting/skating. The data showed that the levels of children travelling to school by walking, cycling, or scooting/skating were consistent for the last 4 years of data collection.


SOFTWARE DEVELOPERS
Survey Form
Name:
Email:
Age:
Language
Javascript
Python
Ruby
Skill Level:
Beginner Level
Intermediate
Advance Level
Resources:
Free Code Camp
Hacker Rank
Codecademy
Comments:


There are a few ways to look at the state of AI development. Growth of this proportion will almost always prompt a response, be it from the private or public sector. In that sense, a great deal of people have agreed on two points. First, the state of regulation surrounding AI is clearly lacking. Second, we need to work proactively and swiftly to remedy this. Here’s a look into this side of the debate.
In fact, this field grew so quickly, expanding far outside of its origin in niche computer science, that it garnered the attention of the government. Currently, legislation surrounding computers in general is flimsy and vague, but that looks like it’s on track to change.
In September of 2018, a group of senators has pushed the government to enact legislation legislation on the federal level that will open the doors for more comprehensive regulation of AI technology. The purpose of this bill is to promote US competitiveness in the new field, but to also serve to protect us from the potential risks associated with such powerful technology. It’s clear that the attitude towards the regulation of AI is taking a favorable turn with the development of this legislation.
It’s not just the government that is having thoughts about restricting AI, however. In fact, the government seems to be one of the late actors on this issue. Industry experts and researchers have been in talks about possible restrictions on AI tech for years. An example would be Microsoft Research Scholar Kate Crawford, who warns of the inevitability of AI bias. In essence, we cannot truly take what an AI says as truth- it’s simply irrational to assume an AI is always correct.
As powerful and accurate as AI technology will become, issues will certainly arise if we allow it to be used for purposes such as deciding between two people to kill in a car accident , or deciding whether a criminal is likely to commit a crime again. As such technologies slowly become a reality, this truth becomes more and more important for us to understand. The ‘TheNextWeb’ article linked above mentions that we will have to accept that our new technology will certainly fail a few times- that is, we won’t get it perfect the first time around. However, it’s probably better for regulations to decide when it’s appropriate to test technology that will surely have inaccuracies. As long as there is error and bias in AI, which at this moment is inevitable, using it for processes of magnitude as great as deciding a human’s fate may be too much for now, and should therefore at least be regulated.
Some people in the corporate world have also expressed their concern for the continued development of AI tech. Specifically, Elon Musk has taken a very clear stance on the issue. Not only has he invested heavily in one of the fastest growing AI research think tanks in the world, but he claims to have only done so to ‘keep an eye’ on such technology. Since then, he’s taken steps to carefully integrate AI into his other companies, Tesla and SpaceX.
He believes that the government ‘steps in after too many bad things happen,’ and that instead of looking at the benefits of AI, we should focus on taking proactive steps to implement solutions to the massive moral and ethical issues that the cutting age of AI will face.
Overall, the frightening pace of AI development has inspired many to take this middleground path; not to let it free or stop it entirely, but to instead proceed with caution and act proactively to prevent disaster.


{{APP_NAME}} provides users with a tool to investigate the connections that exist between the private and public spheres in South Africa. Specifically, it provides a unique insight into the financial connectivities that can, and often do, determine how, when, and why money is expended by government.
Read more...
Click on a country to find out more about its whistleblower laws, procedures and cases


Greetings friends. My name is Patrick Aloysius Ghugerty-Hammerschmidt III. You can call me Pat. Having grown up in the beautiful Pacific Southeast, Salmon was a staple of my diet, as it is for any good Pacsoutheasterner. We are a seafairing people after all. My grandmother Ghugerty-Hammerschmidt handed down a multitude of old-world recipes, many of which my family still prepares to this very day.
My favorite childhood recipe from the family cookbook is the very recipe we use today for Pat's Original Salmon Cookies. What started as a tiny, one-family operation has grown into a multi-national Salmon Cookie empire the likes of which the world has never seen. Thanks Grandma!
Pat's Salmon Cookies are made from the finest ingredients available. We start with wild-caught Chinook Salmon from the chilly Pacific Southeast coast and fresh-picked sugar cookies from our own private cookie farm. Our proprietary Salmoncookiecrumb-o-nator2000 ™ does the rest!
Oh, and don't forget to check out our great products at Pat's Cookie Shack!
Seattle
(206)-555-7845
2516 Union St.
Seattle, WA 98122
Tokyo
+81 25 4532345
1 Mount Fuji Way
Tokyo, Japan 43155
Dubai
+971 490553293
1504 UAE Loop
Dubai, UAE 564399
Paris
+33 45632068
14 Rue Camembert
Paris, France 07856
Lima
+51 25488853
154 Andes Blvd
Lima, Peru 54746
Hours For All Locations
Monday-Friday: 8:00am - 6:00pm
Saturday-Sunday: 11:00am - 3:00pm


This section lists all available batch jobs deployed with this instance of Spring Batch Admin.
| {{job.instanceId}} | {{job.jobExecutions.length}} | {{job.jobExecutions[job.jobExecutions.length - 1].exitStatus.exitCode}} | {{job.jobExecutions[job.jobExecutions.length - 1].createDate | date:'MM/dd/yyyy'}} | {{job.jobExecutions[job.jobExecutions.length - 1].startTime | date:'h:mma'}} |
|


{{ gettext('Have ideas about renovation of Oulu city, or just want to have fun using your imagination to build a city? Good, you are at the right place!') }}
{{ gettext('Start here') }}{{gettext("Have something to comment or just want to tell us some nice words? Send us an email and we will get back to you as soon as possible!")}}


MATRIX 1998 A film review by Timothy Voon Copyright 1999 Timothy Voon 3 out of 4 for bullets and leather
Cast: Keanu Reeves, Laurence Fishburne, Carrie-Anne Moss, Hugo Weaving, Joe Pantoliano. Screenplay: Larry Wachowski and Andy Wachowski. Producer: Joel Silver. Directors: Larry Wachowski and Andy Wachowski.
In one of the slickest movies to arrive in our cinema this year, we have Keanu Reeves and ensemble gang members donning leathers gunning down computer generated anti-virus programmes, and anyone standing in between.
Issues: 1. Can a movie such as Matrix tip hormonally-charged, acne-ridden adolescent teenagers into gunning down their schoolmates? Possible in theory, but made impossible without the existence of guns. 2. What is the Matrix? It's not a non-alcoholic cocktail, it's not a formula for cold fusion, and it's not another name for the Rubik's Cube. But it does smell of computer generated world used to house human guinea pigs for energy. 3. Who got to keep all the leathers after shooting the movie finished? Was it real leather or imitation? A budget of more than 100 000 000 answers this question. 4. Can Keanu Reeves act? Yes, but he was still better as Bill, or was it Ted? 5. Was the movie boring? I watched it twice, but my best friend fell asleep and the guy on the other side of me started snoring. 6. On action and special effects. What you see on the ads is really what you get. Lots of smooth, streamlined karate kicks and bullet dodging. 7. Will my girlfriend like it?  WARNING: Keanu Reeves is looking devastatingly good in this movie; this movie should not be viewed by any male individual who has a poor self image, or is on the verge of commiting suicide. 8. Will there be a sequel? Probably.
Timothy Voon e-mail<EMAIL_ADDRESS>Movie Archives http://us.imdb.com/M/reviews_by?Tim+Voon Movies In Melbourne http://www.labyrinth.net.au/~pfowler/week/movies.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% load static from staticfiles %}
Upload videos or set of images. Download Youtube urls automatically. Browse & annotate uploaded videos. Ability to import pre-indexed datasets.
Perform scene detection, frame extraction on videos. Annotate frames, detections with bounding boxes, labels and metadata.
Extracted objects, along with entire frames and crops, are indexed using deep features. Feature vectors are used for visual search retrieval.
Deploy on variety of machines with/without GPUs, local & cloud. Docker compose enables automated setup of Postgres & RabbitMQ.
Visual Search as a primary interface
Upload videos, image datasets.
Ingest from various sources such as AWS S3, Youtube.
Pre-trained recognition, detection & OCR models.
Train custom detector models
User Interface for visualization, annotation & monitoring.
REST API to simplify development of new front-ends applications.
Deep Video Analytics Processing and Query Language for specifying tasks
Videos, frames, indexes, etc. stored in media directory, served through nginx.
Perform full-text search on text metadata and names.
Configure by specifying environment variables.
Manage GPU memory/utilization by dynamically launching & shutting down workers.
Indexing using Google inception V3 trained on Imagenet
Multiple object detectors from TF object detection API
Face detection/alignment/recognition using MTCNN and Facenet
Open Images multi-label inception v3 for text tags
Deep OCR using CTPN & CRNN
MSCOCO
Labeled Faces in the Wild
Fine-tune YOLO v2 detector using custom of set of regions.
Start using trained detector instantly by launching workers that process queue assigned to the new custom detector.
For a quick overview of design choices and vision behind this project we strongly recommend going through following presentation. Also stored as readme.pdf inside the repo.
DVAPQL enables processing and querying of visual data in a consistent manner using Deep Video Analytics. All functionality of Deep Video Analytics can be expressed in form of DVAPQL scripts which are then launched on distributed workers. The data model underlying DVA makes it simple to reason about state of the system.
Deep Video analytics is implemented using Docker and works on Mac, Windows and Linux. Make sure you have latest version of Docker installed.
git clone https://github.com/AKSHAYUBHAT/DeepVideoAnalytics
cd DeepVideoAnalytics/docker && docker-compose up
You need to have latest version of Docker and nvidia-docker installed. The GPU Dockerfile is slightly different from the CPU version dockerfile.
pip install --upgrade nvidia-docker-compose
git clone https://github.com/AKSHAYUBHAT/DeepVideoAnalytics
cd DeepVideoAnalytics/docker && ./rebuild_gpu.sh
nvidia-docker-compose -f custom/docker-compose-gpu.yml up
Schroff, Florian, Dmitry Kalenichenko, and James Philbin. "Facenet: A unified embedding for face recognition and clustering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
Szegedy, Christian, et al. "Going deeper with convolutions." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
Zhang, Kaipeng, et al. "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks." IEEE Signal Processing Letters 23.10 (2016): 1499-1503.
Liu, Wei, et al. "SSD: Single shot multibox detector." European Conference on Computer Vision. Springer International Publishing, 2016.
Redmon, Joseph, et al. "You only look once: Unified, real-time object detection." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. 2012.
Johnson, Jeff, Matthijs Douze, and Hervé Jégou. "Billion-scale similarity search with GPUs." arXiv preprint arXiv:1702.08734 (2017).
© 2017 Akshay Bhat, Cornell University.
All rights reserved.


3. Configuration Interaction
Configuration interaction approximates wave function by a linear expansion of N–electron basis functions with a given one–electron basis:
where \(\Phi_i\) is the i–th configuration and \(c_i\) is the corresponding coefficient.
To optimize the configuration interaction wave function and minimize the energy with the normalized constrain \(\langle \Psi \vert \Psi \rangle = 1\). Variational principle is applied to varying the coefficients:
The optimaztion using variational principle results in the Schrödinger equation becomes a matrix–eigenvalue equation:
3.1. Algorithm
Step 1: Build the Integral
The pre–computed quantities for the SCF algorithm include:
The nuclear repulsion energy \(E_{nuc}\).
One–electron integrals overlap \(\mathbf{S}\), kinetic energy \(\mathbf{T}\), and nuclear attraction \(\mathbf{V}\).
Two–electron integral, the electron repulsion \((\mu\nu\vert\lambda\sigma)\).
Please check out the Hamiltonian section for further information to learn more about the pre–computed quantities.
Step 2: Optimization of Molecular Orbital Coefficients
The Hartree-Fock method is an uncorrelated mean-field theory that offers a qualitative description of chemical systems. Although Hartree-Fock theory is only qualitatively correct, it forms the basis for more accurate models and becomes the cornerstone of ab initio quantum chemistry.
Please check out the Hartree-Fock section for further information.
Step 3: Transformation of Atomic Orbital to Molecular Orbital
With the optimized LCAO_MO coefficients, we can transform the operators from the atomic orbital basis to the molecular orbital basis.
For the one electron operators:
For the two electron operators:
Step 4: Construction of N–electron Basis Set
Configuration interaction method need an N–electron basis set \(\{\Phi_i\}\), here denotes explicitly a set of orthonormal Slater determinants made of a set of molecular spin orbitals \(\{\chi_i\}\).
For an N electron and K spatial orbitals system, the maximum N–electron basis set contains all Slater determinants generated by distributing N electrons among 2K spin orbitals. The number of Slater determinants gives:
Without constraints, the number of Slater determinants is enormous. Therefore, to control the size of the N–electron basis set, a reasonable approach starts from a reference configuration. Usually, it is the ground state \(\vert\Phi_0\rangle\), which is formed by the N lowest energy spin orbitals, which results in Hartree–Fock calculation.
Then we append the other configuration by excitation level relative to the reference state. Thus, we build an N–electron basis set \(\{ \vert\Phi_0\rangle, \vert S\rangle,\vert D\rangle, \vert T \rangle \dots\}\) with the desired size. Where \(\vert S\rangle\) represents the single excitations configurations, \(\vert D\rangle\) represents the double excitations configurations, and so on.
Step 5: Calculation of Hamiltonian Matrix Elements
With N–electron basis set \(\{\Phi_i\}\), the Hamiltonian operator \(\hat{H}\) can be represent by a matrix,
where \(\vert\mathbf{h}\rangle\) indicates the set of excitation configurations.
Using the Slater–Condon rules, we can express the matrix elements \(H_{ij}\) in terms of one– and two– electron molecular integrals.
First we evaluate the number of sphin orbitals substution between two determinants.
According to the Slater–Condon rules, all the determinants that differ by more than two spin orbitals results in zero, hence and we can only focus on diterminants that differ by zero– one– and two sphin orbitals.
Then evaluate the matrix elements by the number of sphin-orbitals substitution.
For identical determinants:
For determinants that differ by one spin orbitals:
For determinants that differ by two spin orbitals:
Finally compute the phase factor.
Since the Slater determinant is antisymmetrized, when we evaluating the overlap between two determinants \(\langle\Phi_i\vert\Phi_j\rangle\) a phase factor.
When evaluting the Hamiltonian matrix element \(H_{ij}\), the phase is calculated as \(-1^{N_{perm}}\), where \(N_{perm}\) is the number permutations necessary to bring the spin-orbitals on which the holes are made to the positions of the praticles.
Step 6: Solution of the Matrix eigenvalue problem for the desired state
The optimaztion using variational principle results in the Schrödinger equation becomes a matrix–eigenvalue equation:
Thus, the last step is to find the eigenvalues and eigenvectors of matrix \(\mathbf{H}\) with numerical method.
3.2. Examples
Full CI
The full configuration interaction(FCI) method assumes that all electrons are correlated among all orbitals in a given system. Hence it provides numerically exact solutions (within the infinitely flexible complete basis set) to the electronic time-independent, non-relativistic Schrödinger equation.
from moha import *
mol,orbs = IOSystem.from_file('../data/water.xyz','sto-3g.nwchem')
ham = ChemicalHamiltonian.build(mol,orbs)
wfn = HFWaveFunction(10,7,{'alpha':5,'beta':5})
scfsolver = PlainSCFSolver(ham,wfn)
hf_results = scfsolver.kernel()
cisolver = FullCISolver(ham,wfn,hf_results)
ci_results = cisolver.kernel()
CISD
FCI method is exact in a given atomic orbital basis but prohibitively expensive. Therefore, to balance accuracy and computational time, we truncate the CI space by excitation level relative to the reference state. The most common truncation of the CI space expansion is CI singles and doubles (CISD).
from moha import *
mol,orbs = IOSystem.from_file('../data/water.xyz','sto-3g.nwchem')
ham = ChemicalHamiltonian.build(mol,orbs)
wfn = HFWaveFunction(10,7,{'alpha':5,'beta':5})
scfsolver = PlainSCFSolver(ham,wfn)
hf_results = scfsolver.kernel()
cisolver = CISDSolver(ham,wfn,hf_results)
ci_results = cisolver.kernel()


We are excited to see your progress in joining different clubs and growing your network. In the future, you will receive email notifications whenever a club you have joined posts an announcement.
You may also view notifications directly on ClubHub by visiting the ClubHub platform and clicking "My Profile" at the top right corner.
Best Regards,
The ClubHub Team


Jenny Nguyen
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5®).
Ofner, M. et al. Autism spectrum disorder among children and youth in Canada 2018. (Public Health Agency of Canada Ottawa, ON, 2018).
There are three main ways in which social communication difficulties manifest in ASD. 1
1. Difficulty with social-emotional reciprocity
2. Atypical nonverbal communication
3. Difficulty developing, maintaining and understanding relationships
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5®).
Howlin, P. & Magiati, I. Autism spectrum disorder: outcomes in adulthood. Curr. Opin. Psychiatry 30, 69–76 (2017).
Hong, J., Bishop-Fitzpatrick, L., Smith, L. E., Greenberg, J.S. & Mailick, M. R. Factors Associated with Subjective Quality of Life of Adults with Autism Spectrum Disorder: Self-Report Versus Maternal Reports. J. Autism Dev. Disord. 46, 1368–1378 (2016).
Spence, S. H., Donovan, C. & Brechman-Toussaint, M. Social skills, social outcomes, and cognitive features of childhood social phobia. J. Abnorm. Psychol. 108, 211–221 (1999).
Sedgewick, F., Hill, V., Yates, R., Pickering, L. & Pellicano, E. Gender differences in the social motivation and friendship experiences of autistic and non-autistic adolescents. J. AUTISM Dev. Disord. 46, 1297–1306 (2016).
Cook, A., Ogden, J. & Winstone, N. Friendship motivations, challenges and the role of masking for girls with autism in contrasting school settings. Eur. J. Spec. Needs Educ. 33, 302–315 (2018).
Dean, M., Harwood, R. & Kasari, C. The art of camouflage: Gender differences in the social behaviors of girls and boys with autism spectrum disorder. AUTISM 21, 678–689 (2017).
Constantino, J. N., Zhang, Y., Frazier, T., Abbacchi, A. M. & Law, P. Sibling recurrence and the genetic epidemiology of autism. Am. J. Psychiatry 167, 1349–1356 (2010).
Hartley, S. L. & Sikora, D. M. Sex Differences in Autism Spectrum Disorder: An Examination of Developmental Functioning, Autistic Symptoms, and Coexisting Behavior Problems in Toddlers. J. Autism Dev. Disord. 39, 1715–1722 (2009)
Evans, S. C., Boan, A. D., Bradley, C. & Carpenter, L. A. Sex/Gender Differences in Screening for Autism Spectrum Disorder: Implications for Evidence-Based Assessment. J. Clin. Child Adolesc. Psychol. 48, 840–854 (2019).
We will use data from the Province of Ontario Neurodevelopmental Disorders (POND) network, a multi-centre research network that studies neurodevelopmental disorders.
There are five sites: Hospital for Sick Children (Toronto; 88), Holland Bloorview Kids Rehabilitation Hospital (Toronto; 105), Western University (London; 113), McMaster University (Hamilton; 114) and Queen’s University (Kingston; 394)
Proper care to ensure the data is cleaned gives us greater confidence in the validity of our statistical results and models.
Since this proposed study involves high dimensional data and a large dataset, visualization of multidimensional data will be an important step in feature selection as well as the exploration and identification of clusters.
To determine the differential contribution of demographics (sex, race/ethnicity, and socioeconomic status), IQ, sensory profiles, attention, anxiety, and language to social communication abilities.
We hypothesize that each of these seven factors will directly contribute to social communication difficulties, albeit to different degrees. We also anticipate that some of these factors will operate through indirect effects as suggested in the literature.
Since the relationship between our 7 factors and social communications seems complex, we require the use of more robust modelling techniques.
SEM refers to a group of statistical procedures (e.g., Factor Analysis, Path Analysis) that give us insight relating to causal inference.
↑ Flexibility
Theory-first Approach
Latent and Observed Variables
28 of the 40 questions on the Social Communication Questionnaire (SCQ) pertain to social communication. However, the SCQ lacks validated subdomains.
There is a suggested mapping of SCQ questions to ADI domains: (1) Communication, (2) Social Reciprocal Interaction. We will validate this two-factor mapping using CFA
We will also use EFA to explore alternative groupings (more than 2 factors) of social communication skills. Have three or more subdomains allows for increased granularity in the path model analysis.
We will be using the iterative process of path analysis defined by Kline
We will be taking a model generation approach, where we start with a hypothesized model and iteratively make changes to discover a pathway that models the data well.
We will be using OpenMX as our statistical package. We will be sure that the model is identified in the program
As a industry standard, the following global fit statistics should be reported:
The first method tests a exact-fit hypothesis — there is no differences between the covariances predicted by the model and the population covariance matrix.
Whereas, the other three models are approximate fit indices . There is no binary decision to accept or reject the null hypothesis. These statistics provide a continuous measure of "goodness-of-fit".
There is an iterative process where the model is specified and incrementally improved
Once we find a model that is (1) aligns with theory, (2) is parsimonious and (3) fits the data well, we can report our results.
To identify subgroups of individuals with different social communication profiles and to determine the predictors underlying each subgroup
Although this objective is largely exploratory, we do have some expectations of what our cluster will look like. For example, based on the research about facial emotion regulation in ADHD, we might expect a subgroup of individuals who have attention issues and struggle with social skills relating to the facial expressions.
Given the high dimensionality of the data, the dimension reduction clustering techniques are necessary. The inclusion of multiview clustering, an ensemble techniques, will help us form more robust clusters.
Each of the 7 factors along with the item-level SCQ scores will form a base clustering, the data points will be kept consistent. The base clusterings will then be combined into ensemble clusters using a similarity algorithm.
A combination of internal and external validation measures will be used to assess the validity of the clusters..
To determine whether the determinants of social communication differ across diagnoses (ASD, ADHD, OCD) and typical development (TD)
We anticipate that the ASD-specific and ADHD-specific path model and cluster analyses will largely look the same. The overlap and co-occurring diagnoses between ASD and ADHD is well-documented. ASD and ADHD also account for a large portion of pooled sample size that the models were trained for objective one and two.
We expect more pronounced differences with the OCD group since the incidence of co-occurrence is much lower.
For the TD group, we expect that there will be difficulty discovering a path model with high fit and discovering distinct clusters for the as this group rarely exhibits social communication difficulties.


Alltime Highscore List
| User | Score |
|---|
| Your High Score | |
|---|---|
| You don't have one yet! |
Randomly generated blocks in yellow will try to kill you
Use the keyboard to control the snake and the mouse to navigate through the options
| User | Score |
|---|
| Your High Score | |
|---|---|
| You don't have one yet! |


There are three kinds of views supported:
When called, view function’s args are populated from Req.context, resolved by their names. These includes:
All non-default args of view function must be resovlable, otherwise ArgErr will be thrown.
If view is a class method, new class instance will be creared upon each request. Constructor args are resolved exactly in the same way as view args are.
View must return Res instance, or null. Returning null, Spectre will try to execute following routes.
Having this route:
"/orders/{id}/{action}/"
for request:
/orders/76/edit/
there will be:
req.context("id") == "76"
req.context("action") == "edit"
req.context("session") == <session obj>
req.context("req") == req
and view funcion may be defined as:
Res? view (Req req, Str id, Str action, Str smth := "abc") {
...
}
or as:
static Res? view (Str action, Session session) {
...
}
or even as:
Res? view() {
...
}
or as a closure:
|Req req, Str action->Res?| { return Res(...) }


This was my Final Project!
About Me and This Project!
This website has a basic idea, it connects you with classmates you would like to connect with. It's simple to use, you search for classmates according to your needs, you send them a friend reqeust, and when they accept it, you can see their contact details!
I am a first year engineering undergrad from Bhopal, India. And had very little programming experience prior to joining this course. I started CS50 an year ago with CS50 2019 but had to leave it midway
because of my college studies (and Procrastination!). I continued the course again with CS50 2020, and this time, as you can see, I've done it!
My name is Palash and now I can proudly say, that
"I took CS50!"


Validate Bing Maps API Key
User Location
Reverse Geocode Address
Use IP Address
User Lat/Long:
Radius (KM):
Businesses
Adddresses
Places
Current Autosuggest Query:
Query


Co-Founder/CEO of Mammoth Biosciences.
Previously: PhD Stanford University (NSF Graduate Fellow) and BA Princeton University.
Email is the best contact method.


@PirateChain "back it up with an infographic that explains how it is much more private
yes bitcointalk used to be a good place for this, not sure anymore as it has changed over the years
maybe a signature campaign there might be worth exploring" -- jl777
@PirateChain $ARRR


{% extends "base.html" %}
On {{ incident.dateDetails }}, Madison Police arrested an individual at {{ incident.addressDetails }}
{% else %}On {{ incident.dateDetails }}, Madison Police responded to a call of {{ incident.typeDetails|lower }} at {{ incident.addressDetails }}
{% endif %} {% if incident.suspectDetails == 'None' %} {% elif incident.suspectDetails == 'N/A' %} {% elif incident.suspectDetails == '-' %} {% elif incident.suspectDetails == 'See below:' %} {% elif incident.suspectDetails == 'See Below:' %} {% elif incident.suspectDetails == 'Continuing Investigation' %}Police said the investigation continues, according to the incident report.
{% elif not incident.suspectDetails %}Police have not identified a suspect, according to the incident report.
{% else %}Police identified the suspect as {{ incident.suspectDetails }}, according to the incident report.
{% endif %} {% if incident.arrestedDetails == 'None' %} {% elif incident.arrestedDetails == '(None)' %} {% elif incident.arrestedDetails == 'N/A' %} {% elif incident.arrestedDetails == 'n/a' %} {% elif incident.arrestedDetails == 'n/w' %} {% elif incident.typeDetails == 'Missing Adult' and incident.arrestedDetails|length <= 2 %} {% elif incident.arrestedDetails == 'No arrest made at this point.' %} {% elif not incident.arrestedDetails %} {% elif incident.arrestedDetails == 'Continuing Investigation' %}Police called the {{ incident.typeDetails }} a "{{ incident.arrestedDetails }}," according to the incident report.
{% else %}Police arrested {{ incident.arrestedDetails }}, according to the incident report.
{% endif %} {% if incident.victimDetails == 'None' %} {% elif incident.victimDetails == '(None)' %} {% elif incident.victimDetails == 'n/a' %} {% elif incident.victimDetails == 'N/A' %} {% elif incident.victimDetails == 'See narrative below:' %} {% elif incident.victimDetails == 'See narrative below' %} {% elif incident.victimDetails == 'See below:' %} {% elif incident.victimDetails == 'See below' %} {% elif incident.victimDetails == 'See Below:' %} {% elif incident.victimDetails == 'See Below' %} {% elif incident.victimDetails == 'Unk' %}Police described the victim as unknown, according to the incident report.
{% elif incident.victimDetails == 'unk' %}Police described the victim as unknown, according to the incident report.
{% elif incident.victimDetails == 'Multiple' %}There were multiple victims , according to the incident report.
{% else %}Police described the victim as {{ incident.victimDetails }}, according to the incident report.
{% endif %}According to the incident report:
{{ incident.detailsDetails }}
The case number is {{ incident.caseIncidents }}.


Using Forms9Patch.Image
Forms9Patch.Image
extends Xamarin.Forms.Image
to provide Xamarin.Forms with a patch scalable image element, the ability to tile an image within its alloted bounds, and the rendering of SVG images. The ImageSource for the Forms9Patch.Image
element can be specified either as a Forms9Patch.ImageSource
or a Xamarin.Forms.ImageSource
. Supported file formats are NinePatch (.9.png
), .png
, .jpg
, .jpeg
, .gif
, .bmp
, .bmpf
, and .svg
.
Background
iOS's UIKit provides resizableImageWithCapInsets:
to make an UIImage a patch scalable image. The capInset
argument is used to specify the regions (distance inset from the edges) which will not scale (or scale in only one direction) when the image is stretched to fill it's parent view. Similarly, Android provides NinePatchDrawable
to allow apps to display Nine-patch images as scalable drawing elements. The Nine-patch image format is used to specify the regions that are allowed to scale when the image is stretched to fill it's parent view.
Both approaches have their advantages. Unlike iOS's resizableImageWithCapInsets:
, Android's and Forms9Patch's use of the Nine-patch image format allows for unscalable regions to be anywhere in the image (not just at the edges). And, because the scaled regions are marked within the image file, scaling can be customized to each file. On the other hand, resizableImageWithCapInsets:
provides the ability to define the scaling regions at runtime - which provides additional flexibility and convenience.
Seeing advantages to each approach, Forms9Patch.Image
allows for both. If a NinePatch image is provided, Forms9Patch.Image
uses it's scalable region marking. If the CapsInset
property is set, Forms9Patch.Image
will use it to set the unscalable edges - which means CapsInset
will always override NinePatch regions.
`## Xamarin.Forms.Image.Aspect vs. Forms9Patch.Image.Fill
Xamarin.Forms.Image
provides the Aspect property to indicate how an image will fill its bounds. Forms9Patch.Image
does not support the Aspect
property. Rather, it has the Fill
property. The Fill
property supports the Aspect
property's AspectFill
, AspectFit
, and Fill
values and adds the Tile
value for easy management of textures. See the Forms9PatchDemo app for examples of it in action.
NinePatch image example
Let's describe the use of Forms9Patch.Image
for NinePatch images through an example. Say you want to display a pop-up message bubble where the tip is centered. Because they can have multiple scalable regions, the Nine-patch format works great for this. Starting with a .png of the bubble, use a NinePatch editor, like Android's Draw 9-patch
to mark the horizontal and vertical stretchable regions.
| Before marking | After marking |
|---|---|
bubble.png |
bubble.9.png |
| 200x122 | 202x124 |
After adding bubble.9.png
to your cross-platform project as an EmbeddedResource, you can display it using something like the following:
var bubbleImage = new Forms9Patch.Image ()
{
Source = ImageSource.FromResource("MyDemoApp.Resources.bubble.9.png"),
HeightRequest = 110,
}
var label = new label ()
{
Text = "Forms9Path NinePatch Image",
HorizontalOptions = LayoutOptions.Center,
}
Resulting in:
CapsInset Property
Coding the CapsInset
Property
The CapInset
property is used to specify the regions (distance inset from the edges) which will not scale when the image is stretched to fill it's parent view. For example, let's make the following image a banner by scaling it horizontally.
| ResourceID: MyDemoApp.Resources.Images.redribbon.png |
| Image Size: 308x80 |
Load it using Xamarin.Forms.ImageSource
as the source to Forms9Patch.Image
and then, set the CapInsets
property:
var label1 = new Label ()
{
Text = "Xamarin Image",
}
var image1 = new Xamarin.Forms.Image ()
{
Source = ImageSource.FromResource("MyDemoApp.Resources.Images.redribbon.png"),
}
var label1 = new Label ()
{
Text = "Forms9Patch Image w/ CapInsets",
}
var image2 = new Forms9Patch.Image ()
{
Source = ImageSource.FromResource("MyDemoApp.Resources.Images.redribbon.png"),
CapInsets = new Thickness(23, 0, 110, 0),
}
| iPhone | Android |
|---|---|
XAML Example
To use Forms9Patch.Image
in your XAML, you will have to add the Forms9Patch
namespace (from the Forms9Patch
assembly) and then use Forms9Patch.Image
where desired. Also note that, if you want to use Embedded Resource images, you will need to add an XAML markup extension to the assembly that contains those images (see Using Forms9Patch.ImageSource
). For example:
<?xml version="1.0" encoding="UTF-8"?>
<ContentPage
xmlns="http://xamarin.com/schemas/2014/forms"
xmlns:x="http://schemas.microsoft.com/winfx/2009/xaml"
xmlns:local="clr-namespace:MyXamlDemo;assembly=MyXamlDemo"
xmlns:Forms9Patch="clr-namespace:Forms9Patch;assembly=Forms9Patch"
x:Class="MyXamlDemo.MyPage"
Padding="5, 20, 5, 5">
<ScrollView>
<ScrollView.Content>
<StackLayout>
<Label Text="Xamarin.Forms.Image"/>
<Image Source="{local:ImageMultiResource Forms9PatchDemo.Resources.Images.redribbon}"/>
<Label Text="Forms9Patch.Image w/ CapInsets"/>
<Forms9Patch:Image
Source="{local:ImageMultiResource Forms9PatchDemo.Resources.Images.redribbon}"
CapInsets="23,-1,111,-1"/>
</StackLayout>
</ScrollView.Content>
</ScrollView>
</ContentPage>
Embedded Resource Convenience Constructor
If you do most of your layouts in code (rather than XAML), there are tasks you repeat very often. And because they are repeated so often, a shorter version
of that task would be convenient. If you often use Forms9Patch.ImageSource.FromMultiResource
, Forms9Patch.ImageSource.FromResource
, or Xamarin.Forms.ImageSource.FromResource
as the source for your Forms9Patch.Image
or Xamarin.Forms.Image
, you will be happy to know that you can instead pass the EmbeddedResourceId as an parameter to the Forms9Patch.Image
constructor.
var image = new Forms9Patch.Image("Forms9PatchDemo.Resources.Images.redribbon");
Fill Property
Forms9Patch.Image.Fill
property is almost identical to Xamarin.Forms.Image.Aspect
property. It is only different in that it uses Forms9Patch.Fill
instead of Xamarin.Forms.Aspect
- which means it also supports Forms9Patch.Fill.Tile
to direct Forms9Patch.Image
to tile a source image in the image layout.
TintColor Property
There are times where it is desireable to theme an app at runtime. One way of doing this is by changing the color of monochrome images (often used as icons). Forms9Patch makes this easy by giving Forms9Patch.Image
the TintColor
property.
var image = new Forms9Patch.Image("MyApp.Resource.Printer.png")
{
TintColor = Color.Blue
};
| Source Image | w/ TintColor=Color.Blue |
|---|---|
Note: The TintColor
property is intented for use with raster images that have and makes use of the transparent color plane. Results will likely be undesirable for other types of raster images. This property is ignored for vector (.svg
) images.
SourceImageSize Property
Want to be sure you got the image you intended to ask for? This question can come up when you're doing cross platform development. The SourceImageSize property can help with this by giving you the size of the ImageSource being used for the image.
NOTE: For NinePatch images (.9.png
), the value returned does not include the two extra pixels in width and height for the NinePatch markup.
AntiAlias Property
Xamarin.Forms
relies on the platform image elements to render images. A small performance improvement can be had by not applying an anti-alias algorithm to the image during rendering. Just as Xamarin.Forms
, Forms9Patch.Image
preforms this anti-alias step by default. However, if you're upscaling an image a bit much and you don't care about some pixalization, then you want a little more performance by setting this property to true
.
BackgroundColor Property
What? Why would an image need a background color? Well, usually it wouldn't but images with transparent regions (.png
and .svg
) create an opportunity. Just as you can use the TintColor
to theme a monocrome raster image, you can use BackgroundColor
to them the transparent regions of such an image. Cool, huh?
| Source image | BackgroundColor=Color.Orange |
|---|---|
Note the corners are rounded on this image!
Outline and Shape Properties
Taking things a step further than we did with the BackgroundColor property, why not be able to continue to dress up the image? Clipping an image to a shape and/or adding a border are two common operations applied to images when they are used as app assets. Since this is so common, Forms9Patch has them built-in. To set the shape, use the ElementShape
property (which takes a Forms9Patch.ElementShape
value). Available values are:
| ElementShape | Description | Full Bleed Image Example |
|---|---|---|
| Rectangle | pretty much the same as "don't clip" | |
| Square | clip the longest side to be the same length as the shortest side | |
| Circle | because, circle clipped head shots are so 2015 | |
| Ellipse | still waiting for this one to be cool | |
| Obround | it's embarrassing how long it took me to find out there was a name for this shape |
And, if you used Xamarin.Forms.Frame
before, Forms9Patch's Outline properties will seem familiar:
| Property | Description | Transparent PNG Example |
|---|---|---|
| OutlineColor | Color of Forms9Patch ElementShape's outline | |
| OutlineWidth | Width of Forms9Patch ElementShape's outline | |
| OutlineRadius | Forms9Patch Element's corner radius. Only applies to Rectangle and Square shapes |
HasShadow and ShadowInverted Properties
Let's go out on limb and keep adding embelishments to the image. Once you have the ability to impose a shape to your image, it is common to want a shadow to match the imposed shape. HasShadow
makes that happen.
Now, here is where Forms9Patch can do something a bit clever. If the ImageSource
is a *.png image with transparency in the image, the HasShadow
property of Forms9Patch will impose the shadow on the overlap of the ElementShape
and the non-transparent parts of the image! NOTE: Setting ShadowInverted
to true breaks this functionality.


| Meeting time: | MW 12:00-1:15PM |
| Classroom: | PKI 155 |
| Instructor: | Dr. Harvey Siy |
| Office: | PKI 281B |
| Phone: |<PHONE_NUMBER> |
| Email: | hsiy at unomaha dot edu |
| Office Hours: | By appointment (call or email ahead) |
| Textbook: | Software Engineering (9th edition) by Ian Sommerville, Addison-Wesley, 2010 |
| Companion website | |
| link to 8th Edition | |
| Textbook: | Engineering Software as a Service: An Agile Approach Using Cloud Computing (1st edition) by Fox and Patterson, 2014. |
| http://www.saasbook.info/home | |
| Optional: | Object-Oriented Software Engineering (2nd edition) by Bruegge and Dutoit, Prentice Hall 2004. |
| http://wwwbruegge.informatik.tu-muenchen.de/OOSE/WebHome |
The course focuses on the engineering and development of real-world software products. It provides a pragmatic introduction into the fundamentals of software engineering. Basics of software project management are presented and are practiced in the term project.
Students who complete this course will:
The lecture slides will mostly come from the textbook author's companion website plus a few changes of my own.
The originals can be downloaded from http://www.cs.st-andrews.ac.uk/~ifs/Books/SE9/Presentations
The updated lecture slides will be posted on Blackboard under Course Documents.
| Term Project: | 40% |
| Midterm: | 20% |
| Final: | 20% |
| Quizzes/ Homeworks/ Exercises: |
20% |
Students taking the class as CSCI8836 will also be required to submit a 10-15 page, graduate-level research paper. (Please make an appointment to see me within the first two weeks of class to discuss appropriate topics.)
The term project is discussed in a separate handout.
Late homeworks will get a 20% deduction per day, for each day past the due date.
For online submissions, we will follow the time stamp as reported by Blackboard. For example, if the due date is Aug, 24, a submission on Aug. 25 12:01am will get a 20% deduction.
Paper submissions must be handed directly to me on the day it is due.
Cheating will not be tolerated for project assignments, exams and other assignments. For formal policies about cheating and plagiarism, consult the UNO Student Policies and Department of Computer Science Policies and Procedures.


One solution could be to open a file once and then iterate inside the function while the file is open:
temperatures = [10,-20,-289,100] def writer(temperatures): with open("temps.txt", 'w') as file: for c in temperatures: if c > -273.15: f = c* 9/5 + 32 file.write(str(f) + "\n") writer(temperatures) #Here we're calling the function, otherwise no output will be generated
Or even better, you could treat both the temperature input and the file path as function arguments:
temperatures = [10,-20,-289,100] def writer(temperatures, filepath): with open(filepath, 'w') as file: for c in temperatures: if c > -273.15: f = c* 9/5 + 32 file.write(str(f) + "\n") writer(temperatures, "temps.txt") #Here we're calling the function, otherwise no output will be generated
In real life you may want to build a website with Python so you connect the function call writer() with a button on the website. The user enters some values in a text box, and types in a file name and then presses the button. The button executes the writer() function by using the input that user entered in the text box as input values for the function. Once the button is pressed, the generated file downloads on the user's browser.
Sure, that's a bit of a demanding project to do but I will take you step by step in later sections on how to do such web applications.


Learning about science 'n chem 'n stuff
- Chemicals are fun!!
- Always handle them with bare hands, gloves are dangerous.
- Experimenting unsupervised is the best way to experiment!
- Question 1
- Question 2
- Question 3
- Science is fun
- Chem sucks worst subject tbh
- Actually bio is worse


<EMAIL_ADDRESS>Manage account
Settings
Log out
Back
Ok
Title
Date
Full Day
Start Time
End Time
Description


"Go too far away from the road. Or don't", InspiroBot
I received all of my education in Waterloo, Iowa.
I am about to complete the general education of high school at West High School.
I am about to complete my career training at the Waterloo Career Center.
I learned how to produce videos.
I learned how to program a variety of different applications.
I learned the basics of marketing and business management.
Intro to programming logic.
AP Computer Science.
Web Development and Database Design.
Video Productions.
Intro to Marketing.
Intro to buisness and intro to retailing and saling.


Thread control¶
In this section, We explain PEZY-SCx series processor’s thread control mechanism. The thread mechanism of PEZY-SCx series processor is “fine-grained multi-threading”. Fig. 5 shows thread control mechanism.
There are four threads worked at the same time. They work switching every cycle (thread 0 → thread 1 → thread 2 → thread 3 → thread 0 ...).
Each thread has two kinds of “front thread” and “back thread”, one of which works. This is called “thread pair”.
To switch between “front thread” and “back thread”, use the chgthread()
function.
When the original front threads stall (e.g., when loading data from memory), we can hide some of the latency by switching back threads to the front and front threads to the back.


A.P. Minister promises cold storage for fishermen
Training will be provided in deep sea fishing, says Krishnadas
by Staff ReporterMinister for Roads and Buildings Dharmana Krishnadas on Thursday promised to take steps for the construction of a cold storage in Tekkali division to benefit fishermen community.
He was the chief guest for World Fisheries Day celebrations at Metturu village of Vajrapukotturu mandal in Srikakulam district. He said that the cold storage facility would help fishermen to sell their produce at the appropriate time after observing the market conditions.
Collector J. Nivas said that the government had sanctioned 10,000 houses for Titli cyclone victims and the move would benefit many from the fishermen community in the district. He promised to provide training for fishermen in deep sea fishing while providing subsidy to buy motor boats.
Palasa MLA Sidiri Appala Raju, Joint Director of Fisheries V.V. Krishnamurthy and AP Fishermen Community Welfare Association president S. Suribabu were present.


White to play 22
pips White=167 Black=159
(CorrectAnswer= 0/0, ErrorScore= 0)
1. 13/9* 6/4(2) eq: +0.381 58.53% (G:19.52% B:0.98%) 41.47% (G:10.30% B:0.50%) 2. 13/9*(2) eq: +0.193 (-0.188) 54.78% (G:16.09% B:0.75%) 45.22% (G:10.78% B:0.49%) 3. 13/11(2) 6/4(2) eq: +0.156 (-0.225) 53.63% (G:15.99% B:0.55%) 46.37% (G:10.81% B:0.46%) 4. 13/11(2) 13/9* eq: +0.140 (-0.241) 53.24% (G:16.33% B:0.79%) 46.76% (G:11.79% B:0.57%) 5. 24/22(2) 13/9* eq: +0.130 (-0.251) 52.80% (G:14.72% B:0.60%) 47.20% (G: 9.98% B:0.30%)


Grunt tasks that front-end developers should use to improve website's performance with no configurations and 1 command to run it right away.
For the docs, please visit here.
Or visit my new blog to help me to improve this tool!