Motivation
The Combine
combinator takes settings and components as parameters and produces a combined
component whose behaviour is the sum, in a sense precised thereafter, of the behaviours of the
components passed as parameters (we will refer to them as parameter components).
The Combine
combinator hence allows to build up components from smaller components. Each
parameter component represents a behaviour which is described by Sources
and Settings
mapped
to Sinks
. The Combine
combinator takes each of the sinks produced by the parameter
components, and combine them into the sinks for the combined component according to a mechanism
described in a dedicated article.
In short:
- all the parameter components’ non-DOM sinks of a given name are merged (
Rx.Observable.merge
) into a combined sink of the same name - all the parameter components’ DOM sinks are merged according to a container and slot mechanism
(the latter inspired from web-components specifications)
- container mechanism : the parameter components can be passed as an array of components (no
container component), or in the form
[ContainerComponent, Array<Component>]
. When a container component is present, the DOM sinks’vNode
content of the other parameter components will be inserted within thevNodes
of the container component – hence the name container component. All non-DOM sinks of the container component are merged as usual - slot mechanism : the container component has the possibility to refine the parameter
components’
vNode
insertion mechanism by defining slots to whichvNode
s can be distributed to. There are named slots and default slots forvNode
content which do not belong to any named slots. There is also the possibility for all slots to have default content, in case no matchingvNode
is found in the parameter component’svNode
content. That mechanism is pegged to the slot mechanism specified with web components. Hence most relevant documentation to the web component’s slot mechanism apply to this library.
- container mechanism : the parameter components can be passed as an array of components (no
container component), or in the form
Further details with examples can be found in a dedicated article.
API
Combine :: Settings -> ComponentTree -> CombinedComponent
Types
Settings must be an object, and can be empty ({}
).
Settings :: *
Component :: Sources -> Settings -> Sinks
CombinedComponent :: Component
ComponentTree :: ChildrenComponents | [ContainerComponent, ChildrenComponents]
ContainerComponent:: Component
ChildrenComponents :: Array<Component>
Contracts
- there has to be at least one component passed as parameters, i.e. empty arrays for instance are not permitted
Examples
- demo
- some examples for the
m
component factory are valid, asCombine(settings, componentTree)
is justm({}, settings, componentTree)
.


Email<EMAIL_ADDRESS>My name is Replace with your name Jr., I am an Xth year undergraduate student at the University of California, Santa Barbara. I'm majoring in Geography with an emphasis in GIS, and I'm also pursuing a minor in Earth Sience.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.


Our mission is provide customer a trip to customer to different plants and provide them different services as required by them.Our company is specially started to provide user space tour.
Our objectives to make users happy after travels through our pacakage.They should satisfied after going to the tour to inter-spaces life.
This site is basically provide a facility about all trip to different plants and various space adventure.


Cook, Annie Rebecca
| Birth Name | Cook, Annie Rebecca |
| Gender | female |
| Age at Death | 90 years, 1 month |
Narrative
Annie Cook (Aunt Sissy), was the 2nd daughter of Thomas Cook and Rosa McFadden. She was born in George St, Sydney. Ann was baptised at St Laurence CofE, Sydney on 16 Aug 1854. She Married John Thomas Derriman Irish on 25 January, 1877 at St Davids CofE Redfern. I went to look for St Davids in the 1980's but the Church has been pulled down & a block of home units built in it's place & they have been called "St.Davids Units. Aunt Sissy had eight boys.!!
SMH - IRISH - 29 August, 1944, at Highbury Private Hospital, Burwood, ANN REBECCA IRISH, widow of John T. D. Irish, aged 90 years. By request, no flowers.
FUNERAL - The rels & friends of the late Mrs. Ann Rebecca Irish, of 23 Highbury St, Croydon, are invited to attend her Funeral; to leave our Chapel, Railway Pde, Burwood, this Wednesday, after a service at 1.30pm, for Church of England Cemetery, Rookwood. By request, no flowers.
Events
| Event | Date | Place | Description | Sources |
|---|---|---|---|---|
| Birth | 1854-07-28 | Sydney, NSW | ||
|
|
||||
| Christening | 1854-08-16 | Christ Church St Laurence CofE Sydney, NSW | ||
|
|
||||
| Death | 1944-08-28 | Private Hospital in Burwood, NSW (90yrs) | ||
|
|
||||
| Burial | 1944-08-30 | CofE Cemetry Rookwood, NSW | ||
|
|
Parents
| Relation to main person | Name | Birth date | Death date | Relation within this family (if not by birth) |
|---|---|---|---|---|
| Father | Cook, Thomas (Draper) | 1815-09-17 | 1876-05-26 | |
| Mother | McFadden, Rosa | 1835-02-09 | 1911-05-14 | |
| Sister | Cook, Ellen Mary | 1853-04-25 | 1921-02-12 | |
| Cook, Annie Rebecca | 1854-07-28 | 1944-08-28 | ||
| Sister | Cook, Rose Alice “Alice” | 1856-02-28 | 1930-03-15 | |
| Brother | Cook, Thomas William Freibeth | 1858-03-17 | 1933-08-10 | |
| Brother | Cook, Henry Forbes | 1860-03-22 | 1861-08-16 | |
| Brother | Cook, Robert Hunter | 1862-02-01 | 1955-02-02 | |
| Sister | Cook, Florence Jane Marven | 1863-07-31 | 1943-09-09 | |
| Brother | Cook, Albert Edward | 1865-12-24 | 1872-12-08 | |
| Sister | Cook, Lillien Victoria | 1868-04-09 | 1904 | |
| Brother | Cook, George Francis | 1870-09-17 | 1872-12-11 | |
| Brother | Cook, Frederick Augustus | 1872-12-06 | 1892-03-13 | |
| Brother | Cook, John Leslie | 1875-01-09 |
Families
Family of Irish, John Thomas Derriman and Cook, Annie Rebecca |
|||||||||||||||||||||||||||||
| Married | Husband | Irish, John Thomas Derriman ( * 1852-07-13 + 1923-07-18 ) | |||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||
| Children |
| Name | Birth Date | Death Date |
|---|---|---|
| Irish, John Charles “Jack” | 1877-12-05 | 1968-03-01 |
| Irish, Thomas William (Under Secretary of Lands) | 1879-09-23 | 1966-09-08 |
| Irish, James Frederick | 1881-11-05 | 1921-01-07 |
| Irish, Walter Gould | 1884-03-07 | 1977-03-15 |
| Irish, Arthur Edward | 1886-12-19 | 1967-06-22 |
| Irish, Charles Alfred | 1888-11-02 | 1948-07-13 |
| Irish, Albert Septimas | 1890-07-27 | 1924-08-05 |
| Irish, Robert George | 1895-07-18 | 1975-08-02 |
| Type | Value | Notes | Sources |
|---|---|---|---|
| _UID | 2306FB65E5C4D5119853B7EB0FA9CA6D9496 |
Attributes
| Type | Value | Notes | Sources |
|---|---|---|---|
| _UID | 5806FB65E5C4D5119853B7EB0FA9CA6DC9E6 |
Pedigree
- Cook, Thomas (Draper)


-
Class Summary
| Class |
Description |
| InternalWebster |
Helper class for starting an Internal Webster
|
| Webster |
Webster is a HTTP server which can serve code from multiple codebases.
|
Package sorcer.tools.webster Description
Provides a lightweight embeddable HTTP server.
- A HTTP server called Webster, which can serve code from multiple
codebases. Webster can be started as its own process, or as a resident
Object within a service or other utility
- A utility for client applications to start an internal Webster, setting the
Webster root to the location the class was loaded from, and appending a
provided export JAR as the export codebase for the JVM. This tool
should only be called by Jini client entities that require their export
codebase to be set and arent clever enough to have the location of
where Webster should serve code from
Configuring Webster
The following environment variables used to control Webster are
as follows:
- org.rioproject.tools.webster.port
Default:
|
0
|
Description:
|
Sets the port for webster to
use. The default is 0, which results in an anonymous port being
created. If an anonymous port is created the getPort() method can be
used to return the value of the port. |
- org.rioproject.tools.webster.root
Default:
|
System.getProperty(user.home)
|
Description:
|
The Root directory to serve
code from. Webster supports multiple root directories which are
separated by a ; |
- org.rioproject.tools.webster.interface
Default:
|
The address returned from
InetAddress.getLocalHost()
|
Description:
|
The TCP/IP address which
Webster should bind to. This is helpful on a machine which has more
then one Network Interface Card (NIC)
|
- org.rioproject.tools.webster.minThreads
Default:
|
10
|
Description:
|
Webster uses a Pool of
Threads to handle incoming requests. This value is used to create the
minimum amount of Threads in the ThreadPool |
- org.rioproject.tools.webster.maxThreads
Default:
|
50
|
Description:
|
Webster
uses a Pool of Threads to handle incoming requests. This value is used
to create the maximum amount of Threads in the ThreadPool |


Robot Wars: Russia's Yandex begins autonomous delivery testing
MOSCOW (Reuters) - Russian internet giant Yandex has started testing autonomous delivery robots, the latest addition to its technological arsenal, the company said on Thursday.
Named after the space exploration device, the Yandex.Rover is a cabin suitcase-sized robot that can navigate pavements at walking pace, carrying small packages, using adapted technology from the firm’s self-driving cars unit.
Yandex, often described as ‘Russia’s Google’, operates a number of services that could benefit from autonomous delivery, in particular its restaurant delivery service Yandex.Eda, e-commerce arm Yandex.Market, a joint venture with Russian lender Sberbank, and recently launched service for grocery delivery, Yandex.Lavka.
Testing for the Yandex.Rover is already underway at its Moscow headquarters, where the device moves by itself but under human supervision, the company said in a statement.
Once the technology is perfected, Yandex will consider selling robots to other companies, as well as using them in company warehouses.
Yandex’s head of self-driving, Dmitry Polishchuk, said that adapting existing technologies helped in the fast development of the Yandex.Rover, and is optimistic about their use going forward.
“I believe robots like this will have a variety of applications in the near future, Polishchuk said. “They could become indispensable for the ‘last mile’ stage of logistics.”
Yandex began testing its driverless cars in 2017. At the Skolkovo and Innopolis tech parks outside Moscow, driverless taxis operate in test zones.
At the end of 2018, Yandex received a license to operate in Israel and will begin U.S-based testing from June 2020.


| Developer Spotlight |
Robin Johnson is the owner of the JuxtaProse project and a committer on the CMS project. Approximately 60% of Robin's free time is dedicated to Project JXTA, mainly to JuxtaProse. It's a discussion application where all conversation and moderation is accomplished by sharing files using the content management system. While being a discussion application right now, it has the potential to become the P2P equivalent of the web browser by incorporating JXTA URLs into the messages and allowing pluggable URL handlers. It seems obvious to Robin that a JXTA browser should be discussion-based because commenting on existing content and publishing new content is every bit as fundamental to the peer-to-peer paradigm as "consuming" content. Along with other projects, JuxtaProse requires advertisements with more metadata fields than are currently provided by CMS. This has led Robin to work towards improving the extensibility and interoperability of the metadata in CMS. Robin says that after sadly watching the world wide web become increasingly subject to corporate and government control, JXTA is a very tempting fresh start. JXTA promises to be as versatile as the web, but decentralized enough to utilize the computing resources of the hundreds of millions of home computers connected to the Internet. Since the JXTA network would be powered largely by home users, they would have much more say in deciding the way the network is run, hopefully bringing back the notion of the Internet being a place where individual freedoms can thrive. Robin recently graduated from a technical training program at the University of Minnesota and is currently looking for a UNIX system administration job. You can reach Robin on the Project JXTA discuss mailing list or at<EMAIL_ADDRESS>|


Team outing to Ground Kontrol, a classic arcade. Area 51, X-Men, and Joust make my inner twelve year-old a happy boy.
8/4/2011, 4:43:07 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Team outing to Ground Kontrol, a classic arcade. Area 51, X-Men, and Joust make my inner twelve year-old a happy boy.
8/4/2011, 4:43:07 PM
Favs: 0
Retweets: 0
link


Below, a number of visualisations are available that contain information on illegal immigration to Europe between the years 2006 and 2016. For almost every European country, information is available on how many people applied for asylum in each of these years. If you click on any coloured country in the map, a bargraph below the map will show the countries of origin where most first time asylum applicants came from in the selected year. The slider can be used to select a year, and the map and barchart will update accordingly.
The map also contains information on the use of migratory routes to Europe by illegal immigrants. The timeslider will adjust the size of the circles - representing migratory routes - on the map based on to the number of illegal border crossings into European countries by immigrants who used these routes. Lastly, a linegraph is available that shows the usage of all migratory routes from 2006 to 2016. Clicking on one of the lines, or a migratory route in the map, will update the linegraph to only contain information on the selected route.


ALL CHAINS SYNC'd Starting Iguana if it needs starting then adding new chains for dPoW...
curl: (7) Failed to connect to <IP_ADDRESS> port 7776: Connection refused
Adding notary: <IP_ADDRESS>
Adding notary: <IP_ADDRESS>
Adding notary: <IP_ADDRESS>
Adding notary: <IP_ADDRESS>
Adding notary: <IP_ADDRESS>
curl: (7) Failed to connect to <IP_ADDRESS> port 7776: Connection refused
curl: (7) Failed to connect to <IP_ADDRESS> port 7776: Connection refused
curl: (7) Failed to connect to <IP_ADDRESS> port 7776: Connection refused


Andrew
Andrew is a economic and data consultant for the International Finance Corporation. He has a masters in applied economics from Johns Hopkins and several years of experience in R and Python. His interests include open data, econometric techniques on large datasets, predictive analytics, and communicating data visually.
Judy
Judy is an Economist for the World Bank's Poverty & Equity Global Practice. She is a member of the Global Poverty Working Group, Data 4 Goals, and serves the East Asia and Pacific region. Her research interests include migration, the business environment, household welfare, access to finance, and data science.
Kate
Kate specializes in data management and analytics for nonprofit organizations. She is currently a Senior Business Systems Analyst at Euclid Technology where she manages database software implementations. Previously, she led NPR's fundraising data and analytics team. Her interests include open data, predictive analytics, and data-driven storytelling.
Leeann
Leeann is currently a Consumer Insights & Analytics Intern at QVC Studio Park. She attends the University of Maryland - Robert H. Smith School of Business finishing up her Master’s degree in Information Systems. She recently obtained her Bachelor’s degree in Economics and Statistics from Carnegie Mellon University. Post graduation, Leeann plans to pursue her career in data science and analytics.
Lizzie
Lizzie is currently a Data Manager at the Democratic National Committee. She primarily works on Direct Marketing, helping to fundraise in order to elect Democrats up and down the ballot. Lizzie has a Masters of Public Policy from the Johns Hopkins Institute for Health and Social Policy, and is Deputy Captain for the Code for DC brigade.


HBSupportController
Objective-C
@interface HBSupportController : NSObject
Swift
class HBSupportController : NSObject
The HBSupportController class in CepheiPrefs provides a factory that configures an email composer for package support.
The resulting view controller should be presented modally; it should not be pushed on a navigation controller stack.
-
Initialises a Mail composer by using information provided by a bundle and preferences identifier.
Either a bundle or preferences identifier is required. If both are nil, an exception will be thrown. The email address is derived from the
Author
field of the package’s control file.HBSupportController
implicitly adds the user’s package listing (output ofdpkg -l
) and the preferences plist as attachments.Declaration
Objective-C
+ (nonnull UIViewController *) supportViewControllerForBundle:(nullable NSBundle *)bundle preferencesIdentifier:(nullable NSString *)preferencesIdentifier;
Swift
class func supportViewController(for bundle: Bundle?, preferencesIdentifier: String?) -> UIViewController
Parameters
bundle
A bundle included with the package.
preferencesIdentifier
A preferences identifier that is used by the package.
Return Value
A pre-configured email composer.
-
Initialises a Mail composer by using information provided by a bundle, preferences identifier, and optional email address.
Either a bundle or preferences identifier is required. If both are nil, an exception will be thrown. If sendToEmail is nil, the email address is derived from the
Author
field of the package’s control file.HBSupportController
implicitly adds the user’s package listing (output ofdpkg -l
) and the preferences plist as attachments.Declaration
Objective-C
+ (nonnull UIViewController *) supportViewControllerForBundle:(nullable NSBundle *)bundle preferencesIdentifier:(nullable NSString *)preferencesIdentifier sendToEmail:(nullable NSString *)sendToEmail;
Swift
class func supportViewController(for bundle: Bundle?, preferencesIdentifier: String?, sendToEmail: String?) -> UIViewController
Parameters
bundle
A bundle included with the package.
preferencesIdentifier
A preferences identifier that is used by the package.
sendToEmail
The email address to prefill in the To field. Pass nil to use the email address from the package.
Return Value
A pre-configured email composer.
-
Deprecated
TechSupport is no longer supported.
No longer supported. Returns nil.
Declaration
Objective-C
+ (nonnull id)linkInstructionForEmailAddress:(nonnull NSString *)emailAddress;
Swift
class func linkInstruction(forEmailAddress emailAddress: String) -> Any
Return Value
nil.
-
Deprecated
TechSupport is no longer supported.
Initialises a Mail composer by using information provided by a bundle.
Refer to
+supportViewControllerForBundle:preferencesIdentifier:linkInstruction:supportInstructions:
for information on how the bundle is used.Declaration
Objective-C
+ (nonnull UIViewController *)supportViewControllerForBundle: (nonnull NSBundle *)bundle;
Swift
class func supportViewController(for bundle: Bundle) -> UIViewController
Parameters
bundle
A bundle included with the package.
Return Value
A pre-configured email composer.
-
Deprecated
Use +[HBSupportController supportViewControllerForBundle:preferencesIdentifier:].
Initialises a Mail composer by using information provided by either a bundle or a preferences identifier, and providing it a custom link instruction and support instructions.
The bundle may set the key
HBPackageIdentifier
in its Info.plist, containing the package identifier to gather information from. Otherwise, the dpkg file lists are searched to find the package that contains the bundle. The package’s name, identifier, and author will be used to fill out fields in the information that the user will submit.Declaration
Objective-C
+ (nonnull UIViewController *) supportViewControllerForBundle:(nullable NSBundle *)bundle preferencesIdentifier:(nullable NSString *)preferencesIdentifier linkInstruction:(nullable id)linkInstruction supportInstructions:(nullable NSArray *)supportInstructions;
Swift
class func supportViewController(for bundle: Bundle?, preferencesIdentifier: String?, linkInstruction: Any?, supportInstructions: [Any]?) -> UIViewController
Parameters
bundle
A bundle included with the package.
preferencesIdentifier
The preferences identifier of the package, if it’s different from the package identifier that contains the bundle.
linkInstruction
Ignored.
supportInstructions
Ignored.
Return Value
A pre-configured email composer.


Meal planning, your way.
Table will be built using JavaScript. Table will be populated with data extracted from JSON string received from backend server. Send SELECT command to Recipes Rating table WHERE customer_id = this.customer_id.
| Recipe Name | Rating | Date Rated | Action |
|---|---|---|---|
| Sausage, Beans and Broccoli Rabe Soup | 5 | 01/25/2020 | Edit Rating |
| Chicken with Brussels Sprouts and Apple Cider Sauce | Add Rating | ||
| Speedy Teriyaki Salmon | Add Rating |


Search Results
There were {{ count1 }} earthquakes below 20 km range of this location
{% for result1 in data1 %}
{{ result1 }}
{% endfor %}
There were {{ count2 }} earthquakes between 20 km - 50 km range of this location
{% for result2 in data2 %}
{{ result2 }}
{% endfor %}
There were {{ count3 }} earthquakes above 50 km range of this location
{% for result3 in data3 %}
{{ result3 }}
{% endfor %}


# This file is part of QuTiP: Quantum Toolbox in Python.
#
# Copyright (c) 2011 and later, Paul D. Nation and Robert J. Johansson.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# 3. Neither the name of the QuTiP: Quantum Toolbox in Python nor the names
# of its contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
 IN NO EVENT SHALL THE COPYRIGHT
# HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
###############################################################################
from collections import deque
from copy import deepcopy
from functools import cmp_to_key
from random import shuffle
from ..circuit import QubitCircuit, Gate
from .instruction import Instruction
class InstructionsGraph():
"""
A directed acyclic graph (DAG) representation
of the quantum instruction dependency.
An example is Fig3(b) in https://doi.org/10.1117/12.666419.
It contains methods of generating the instruction dependency graph,
a list-schedule algorithm to find the topological order
and the computation of the distance in the weighted graph
(circuit latency).
It uses the `Instruction` object as a representation of node
and adds the following attributes to it:
predecessors, successors: dependency arrow of the DAG
distance_to_start, distance_to_end: longest distance to the start and end
Parameters
----------
instructions: list
A list of instructions
Attributes
----------
nodes: list
The input list of instruction with additional graph information.
start, end: list
List of indices of nodes connected to the start or end nodes.
"""
def __init__(self, instructions):
instructions = deepcopy(instructions)
self.nodes = []
for instruction in instructions:
if isinstance(instruction, Gate):
self.nodes.append(Instruction(instruction))
else:
self.nodes.append(instruction)
for node in self.nodes:
if node.duration is None:
node.duration = 1
self.start = None
self.end = None
def generate_dependency_graph(self, commuting):
"""
Generate the instruction dependency graph.
It modifies the class attribute `nodes`, where each element (node)
is an `Instruction`.
The graph is represented by attributes `predecessors` and
`successors`, each a set of indices
pointing to the position of the target node in the nodes list.
The graph preserves the mobility of the gates,
i.e. if two gates commute with each other,
such as ``CNOT 2, 3`` and ``CNOT 2, 1``,
there should be no dependency arrow between them.
Because of this, the generated graph does not consider
the hardware constraints,
e.g. two commuting gates addressing the same qubits
cannot be executed at the same time.
A dependency arrow between Instruction 1 and instruction 2
means that they do not commute.
However, the converse does not hold because we do not need
gate1->gate3 if we already have gate1->gate2->gate3.
Parameters
----------
commuting: function
A Python function that determines if two gates commute,
given that their used qubits overlap.
"""
# initialize the graph
for node in self.nodes:
node.predecessors = set()
node.successors = set()
num_qubits = max(set().union(
*[instruction.used_qubits for instruction in self.nodes])) + 1
qubits_instructions_dependency = [[set()] for i in range(num_qubits)]
# qubits_instructions_dependency:
# instruction dependency for each qubits, a nested list of level 3.
# E.g. [
# [{1, }],
# [{0, 1}, {2, }],
# [{0, }]
# ]
# means that
# Gate0 acts on qubit 1 and 2, gate1 act on qubit0 and qubit1,
# but gate0 and gate1 cummute with each other.
# Therefore, there is not dependency between gate0 and gate1;
# Gate 2 acts on qubit1 and must be executed after gate0 and gate1.
# Hence, gate2 will depends on gate0 and gate1.
# Generate instruction dependency for each qubit
for current_ind, instruction in enumerate(self.nodes):
for qubit in instruction.used_qubits:
# For each used qubit, find the last dependency gate set.
# If the current gate commute with all of them,
# add it to the list.
# Otherwise,
# append a new set with the current gate to the list.
dependent = False
for dependent_ind in qubits_instructions_dependency[qubit][-1]:
if not commuting(current_ind, dependent_ind, self.nodes):
dependent = True
if not dependent:
qubits_instructions_dependency[qubit][-1].add(current_ind)
else:
qubits_instructions_dependency[qubit].append({current_ind})
# Generate the dependency graph
for instructions_cycles in qubits_instructions_dependency:
for cycle_ind1 in range(len(instructions_cycles) - 1):
for instruction_ind1 in instructions_cycles[cycle_ind1]:
for instruction_ind2 in instructions_cycles[cycle_ind1+1]:
self.nodes[instruction_ind1].successors.add(
instruction_ind2)
self.nodes[instruction_ind2].predecessors.add(
instruction_ind1)
# Find start and end nodes of the graph
start = []
end = []
for i, instruction in enumerate(self.nodes):
if not instruction.successors:
end.append(i)
if not instruction.predecessors:
start.append(i)
self.start = start
self.end = end
def reverse_graph(self):
"""
Reverse the graph.
The start node becomes the end node
Predecessors and successors of each node are exchanged.
"""
for node in self.nodes:
node.predecessors, node.successors \
= node.successors, node.predecessors
try:
self.distance_to_start, self.distance_to_end = \
self.distance_to_end, self.distance_to_start
except AttributeError:
pass
self.start, self.end = self.end, self.start
def find_topological_order(
self, priority=True, apply_constraint=None, random=False):
"""
A list-schedule algorithm, it
finds the topological order of the directed graph
under certain constraint and priority indicator.
The function returns a list of cycles,
where each cycle is a list of instructions
that can be executed in parallel.
In the case of gates schedule,
the result will be the gates cycle list.
Parameters
----------
priority: bool
If use distance to the start and end nodes
as a priority measure for the schedule problem.
apply_constraint: function
A Python function that determines
if to instruction can be executed in parallel.
E.g. if two gates apply to the same qubit, the function
returns False.
Returns
-------
cycles_list: list
A list of cycles, where each cycle is a list of instructions
that can be executed in parallel.
constraint_dependency: set
A set of instruction pairs that are found conflicted
due to the hardware constraints.
Because of this, they are executed in different cycles.
This set is used to add this dependency to the graph
in another method.
"""
# The method will destruct the graph, therefore we make a copy.
graph = deepcopy(self.nodes)
cycles_list = []
available_nodes = list(self.start) # a list of available instructions
# pairs of instructions that are limited by hardware constraint
constraint_dependency = set()
while available_nodes:
if random:
shuffle(available_nodes)
if priority:
available_nodes.sort(key=cmp_to_key(self._compare_priority))
current_cycle = []
if apply_constraint is None: # if no constraits
current_cycle = deepcopy(available_nodes)
else: # check if constraits allow the parallelization
for node1 in available_nodes:
approval = True
for node2 in current_cycle:
if not apply_constraint(node1, node2, graph):
approval = False
# save the conflicted pairs of instructions
constraint_dependency.add((node2, node1))
if approval:
current_cycle.append(node1)
# add this cycle to cycles_list
cycles_list.append(current_cycle)
# update the list of available nodes
# remove the executed nodes from available_node
for node in current_cycle:
available_nodes.remove(node)
# add new nodes to available_nodes
# if they have no other predecessors
for node in current_cycle:
for successor_ind in graph[node].successors:
graph[successor_ind].predecessors.remove(node)
if not graph[successor_ind].predecessors:
available_nodes.append(successor_ind)
graph[node].successors = set()
return cycles_list, constraint_dependency
def compute_distance(self, cycles_list):
"""
Compute the longest distance of each node
to the start and end nodes.
The weight for each dependency arrow is
the duration of the source instruction
(which should be 1 for gates schedule).
The method solves the longest path problem
by using the topological order in cycles_list.
It makes sure that by following the list,
the distance to the predecessors (successors) of
the source (target) node is always calculated
before the target (source) node.
Parameters
----------
cycles_list: list
A `cycles_list` obtained by the method `find_topological_order`.
"""
cycles_list = deepcopy(cycles_list)
# distance to the start node
for cycle in cycles_list:
for ind in cycle:
if not self.nodes[ind].predecessors:
self.nodes[ind].distance_to_start = \
self.nodes[ind].duration
else:
self.nodes[ind].distance_to_start = max(
[
self.nodes[predecessor_ind].distance_to_start
for predecessor_ind
in self.nodes[ind].predecessors
]
) + self.nodes[ind].duration
# distance to the end node
cycles_list.reverse()
self.reverse_graph()
for cycle in cycles_list:
for ind in cycle:
if not self.nodes[ind].predecessors:
self.nodes[ind].distance_to_end = self.nodes[ind].duration
else:
self.nodes[ind].distance_to_end = max(
[
self.nodes[predecessor_ind].distance_to_end
for predecessor_ind
in self.nodes[ind].predecessors
]
) + self.nodes[ind].duration
self.longest_distance = max(
[self.nodes[i].distance_to_end for i in self.end])
self.reverse_graph()
def _compare_priority(self, ind1, ind2):
"""
The node with longer `distance_to_end` has higher priority.
If it is the same for the two nodes,
the node with shorter `distance_to_start` has higher priority.
If node1 has higher priority, the method returns a negative value.
Parameters
----------
ind1, ind2: int
Indices of nodes.
"""
if self.nodes[ind1].distance_to_end == \
self.nodes[ind2].distance_to_end:
# lower distance_to_start, higher priority
return self.nodes[ind1].distance_to_start - \
self.nodes[ind2].distance_to_start
else:
# higher distance_to_end, higher priority
return self.nodes[ind2].distance_to_end - \
self.nodes[ind1].distance_to_end
def add_constraint_dependency(self, constraint_dependency):
"""
Add the dependency caused by hardware constraint to the graph.
Parameters
----------
constraint_dependency: list
`constraint_dependency` obtained by the method
`find_topological_order`.
"""
for ind1, ind2 in constraint_dependency:
self.nodes[ind1].successors.add(ind2)
self.nodes[ind2].predecessors.add(ind1)
# Update the start and end nodes of the graph
start = []
end = []
for i, instruction in enumerate(self.nodes):
if not instruction.successors:
end.append(i)
if not instruction.predecessors:
start.append(i)
self.start = start
self.end = end
[docs]class Scheduler():
"""
A gate (pulse) scheduler for quantum circuits (instructions).
It schedules a given circuit or instructions
to reduce the total execution time by parallelization.
It uses heuristic methods mainly from
in https://doi.org/10.1117/12.666419.
The scheduler includes two methods,
"ASAP", as soon as possible, and "ALAP", as late as possible.
The later is commonly used in quantum computation
because of the finite lifetime of qubits.
The scheduler aims at pulse schedule and
therefore does not consider merging gates to reduce the gates number.
It assumes that the input circuit is optimized at the gate level
and matches the hardware topology.
Parameters
----------
method: str
"ASAP" for as soon as possible.
"ALAP" for as late as possible.
constraint_functions: list, optional
A list of hardware constraint functions.
Default includes a function `qubit_contraint`,
i.e. one qubit cannot be used by two gates at the same time.
"""
def __init__(self, method="ALAP", constraint_functions=None):
self.method = method
if constraint_functions is None:
self.constraint_functions = [qubit_constraint]
else:
return constraint_functions
[docs] def schedule(self, circuit, gates_schedule=False,
return_cycles_list=False, random_shuffle=False,
repeat_num=0):
"""
Schedule a `QubitCircuit`,
a list of `Gates` or a list of `Instruction`.
For pulse schedule, the execution time for each `Instruction`
is given in its `duration` attributes.
The scheduler first generates a quantum gates dependency graph,
containing information about
which gates have to be executed before some other gates.
The graph preserves the mobility of the gates,
i.e. commuting gates are not dependent on each other,
even if they use the same qubits.
Next, it computes the longest distance of each node
to the start and end nodes.
The distance for each dependency arrow is defined
by the execution time of the instruction
(By default, it is 1 for all gates).
This is used as a priority measure in the next step.
The gate with a longer distance to the end node and
a shorter distance to the start node has higher priority.
In the last step, it uses a list-schedule algorithm
with hardware constraint and priority and
returns a list of cycles for gates/instructions.
For pulse schedule, an additional step is required
to compute the start time of each instruction.
It adds the additional dependency
caused by hardware constraint to the graph
and recomputes the distance of each node to the start and end node.
This distance is then converted to
the start time of each instruction.
Parameters
----------
circuit: QubitCircuit or list
For gate schedule,
it should be a QubitCircuit or a list of Gate objects.
For pulse schedule, it should be a list of Instruction objects,
each with an attribute `duration`
that indicates the execution time of this instruction.
gates_schedule: bool, optional
`True`, if only gates schedule is needed.
This saves some computation
that is only useful to pulse schedule.
If the input `circuit` is a `QubitCircuit`,
it will be assigned to `True` automatically.
Otherwise, the default is `False`.
return_cycles_list: bool, optional
If `True`, the method returns the `cycles_list`,
e.g. [{0, 2}, {1, 3}],
which means that the first cycle contains gates0 and gates2
while the second cycle contains gates1 and gates3.
It is only usefull for gates schedule.
random_shuffle: bool, optional
If the commuting gates are randomly scuffled to explore
larger search space.
repeat_num: int, optional
Repeat the scheduling several times and use the best result.
Used together with ``random_shuffle=Ture``.
Returns
-------
gate_cycle_indices or instruction_start_time: list
The cycle indices for each gate or
the start time for each instruction.
Examples
--------
>>> from qutip.qip.circuit import QubitCircuit
>>> from qutip.qip.scheduler import Scheduler
>>> circuit = QubitCircuit(7)
>>> circuit.add_gate("SNOT", 3) # gate0
>>> circuit.add_gate("CZ", 5, 3) # gate1
>>> circuit.add_gate("CZ", 4, 3) # gate2
>>> circuit.add_gate("CZ", 2, 3) # gate3
>>> circuit.add_gate("CZ", 6, 5) # gate4
>>> circuit.add_gate("CZ", 2, 6) # gate5
>>> circuit.add_gate("SWAP", [0, 2]) # gate6
>>>
>>> scheduler = Scheduler("ASAP")
>>> scheduler.schedule(circuit, gates_schedule=True)
[0, 1, 3, 2, 2, 3, 4]
The result list is the cycle indices for each gate.
It means that the circuit can be executed in 5 gate cycles:
``[gate0, gate1, (gate3, gate4), (gate2, gate5), gate6]``
Notice that gate3 and gate4 commute with gate2,
therefore, the order is changed to reduce the number of cycles.
"""
circuit = deepcopy(circuit)
if repeat_num > 0:
random_shuffle = True
result = [0]
max_length =<PHONE_NUMBER>
for i in range(repeat_num):
gate_cycle_indices = self.schedule(
circuit, gates_schedule=gates_schedule,
return_cycles_list=return_cycles_list,
random_shuffle=random_shuffle, repeat_num=0)
current_length = max(gate_cycle_indices)
if current_length < max_length:
result = gate_cycle_indices
max_length = current_length
return result
if isinstance(circuit, QubitCircuit):
gates = circuit.gates
else:
gates = circuit
# Generate the quantum operations dependency graph.
instructions_graph = InstructionsGraph(gates)
instructions_graph.generate_dependency_graph(
commuting=self.commutation_rules)
if self.method == "ALAP":
instructions_graph.reverse_graph()
# Schedule without hardware constraints, then
# use this cycles_list to compute the distance.
cycles_list, _ = instructions_graph.find_topological_order(
priority=False, apply_constraint=None, random=random_shuffle)
instructions_graph.compute_distance(cycles_list=cycles_list)
# Schedule again with priority and hardware constraint.
cycles_list, constraint_dependency = \
instructions_graph.find_topological_order(
priority=True, apply_constraint=self.apply_constraint,
random=random_shuffle)
# If we only need gates schedule, we can output the result here.
if gates_schedule or return_cycles_list:
if self.method == "ALAP":
cycles_list.reverse()
if return_cycles_list:
return cycles_list
gate_cycles_indices = [0] * len(gates)
for cycle_ind, cycle in enumerate(cycles_list):
for instruction_ind in cycle:
gate_cycles_indices[instruction_ind] = cycle_ind
return gate_cycles_indices
# For pulse schedule,
# we add the hardware dependency to the graph
# and compute the longest distance to the start node again.
# The longest distance to the start node determines
# the start time of each pulse.
instructions_graph.add_constraint_dependency(constraint_dependency)
instructions_graph.compute_distance(cycles_list=cycles_list)
# Output pulse schedule result.
instruction_start_time = []
if self.method == "ASAP":
for instruction in instructions_graph.nodes:
instruction_start_time.append(
instruction.distance_to_start - instruction.duration)
elif self.method == "ALAP":
for instruction in instructions_graph.nodes:
instruction_start_time.append(
instructions_graph.longest_distance -
instruction.distance_to_start)
return instruction_start_time
[docs] def commutation_rules(self, ind1, ind2, instructions):
"""
Determine if two gates commute, given that their used qubits overlap.
Since usually the input gates are already in a universal gate sets,
it uses an oversimplified condition:
If the two gates do not have the same name,
they are considered as not commuting.
If they are the same gate and have the same controls or targets,
they are considered as commuting.
E.g. `CNOT 0, 1` commute with `CNOT 0, 2`.
"""
instruction1 = instructions[ind1]
instruction2 = instructions[ind2]
if instruction1.name != instruction2.name:
return False
if (instruction1.controls) and \
(instruction1.controls == instruction2.controls):
return True
elif instruction1.targets == instruction2.targets:
return True
else:
return False
[docs] def apply_constraint(self, ind1, ind2, instructions):
"""
Apply hardware constraint to check
if two instructions can be executed in parallel.
Parameters
----------
ind1, ind2: int
indices of the two instructions
instructions: list
The instruction list
"""
result = []
for constraint_function in self.constraint_functions:
result.append(constraint_function(ind1, ind2, instructions))
return all(result)
def qubit_constraint(ind1, ind2, instructions):
"""
Determine if two instructions have overlap in the used qubits.
"""
if instructions[ind1].used_qubits & instructions[ind2].used_qubits:
return False
else:
return True


Compares its two arguments for order. Returns a negative integer, zero, or a positive integer as the first argument is less than, equal to, or greater than the second. In the foregoing description, the notation sgn(expression) designates the mathematical signum function, which is defined to return one of -1, 0, or 1 according to whether the value of expression is negative, zero or positive. The implementor must ensure that sgn(compare(x, y)) == -sgn(compare(y, x)) for all x and y. (This implies that compare(x, y) must throw an exception if and only if compare(y, x) throws an exception.) The implementor must also ensure that the relation is transitive: ((compare(x, y)>0) && (compare(y, z)>0)) implies compare(x, z)>0. Finally, the implementor must ensure that compare(x, y)==0 implies that sgn(compare(x, z))==sgn(compare(y, z)) for all z. It is generally the case, but not strictly required that (compare(x, y)==0) == (x.equals(y)). Generally speaking, any comparator that violates this condition should clearly indicate this fact. The recommended language is "Note: this comparator imposes orderings that are inconsistent with equals."
the first object to be compared.
the second object to be compared.
a negative integer, zero, or a positive integer as the first argument is less than, equal to, or greater than the second.
Generated using TypeDoc
A comparison function, which imposes a total ordering on some collection of objects.
Comparators are used to control the order of certain data structures (such as sorted sets or sorted maps). The ordering imposed by a comparator c on a set of elements S is said to be consistent with equals if and only if c.compare(e1, e2)==0 has the same boolean value as e1.equals(e2) for every e1 and e2 in S.
Caution should be exercised when using a comparator capable of imposing an ordering inconsistent with equals to order a sorted set (or sorted map).
Suppose a sorted set (or sorted map) with an explicit comparator c is used with elements (or keys) drawn from a set S. If the ordering imposed by c on S is inconsistent with equals, the sorted set (or sorted map) will behave "strangely." In particular the sorted set (or sorted map) will violate the general contract for set (or map), which is defined in terms of equals.
For example, suppose one adds two elements a and b such that (a.equals(b) && c.compare(a, b) != 0) to an empty TreeSet with comparator c. The second add operation will return true (and the size of the tree set will increase) because a and b are not equivalent from the tree set's perspective, even though this is contrary to the specification of the Set.add method.


CS 391 - Special Topic: Machine Learning
Chapter 7
Readings
3/19 7.1-7.3, 7.5
3/21 7.6, 7.8-7.9, 7.11
Topics
Discussion Questions


--- type: "standard" title: "This Dog Spent 2 Weeks And 240 Miles To Get Back To His Original Owner" description: "A real-life Homeward Bound..." social_media_msg: "amazing dog" featimg: "http://images.dabannit.com/7d6a40/it-took-this-dog-240-miles-to-find-his-original-owners-home-c8f.jpg" article_videos: "" author: "" tags: "" category: "" origin_url: "https://www.buzzfeed.com/leticiamiranda/this-dog-traveled-207-miles-back-to-his-original-owners" ---
James said her husband had come in for dinner at around 8 p.m.
As he walked out to prepare the sheep for the night, he bumped into Pero wagging his tail excitedly on the family’s doorstep.
“He called us out to see,” she said. “We couldn’t quite believe it. He was adamant it was Pero.”


--- layout: post title: 'Bash: foreach loop over piped lines' date: 2010-09-03 13:35:09.000000000 +01:00 type: post parent_id: '0' published: true password: '' status: publish categories: - bash tags: [] meta: _edit_last: '1' author: Noel permalink: "/bash-foreach-loop-over-lines-from-a-parameter/" ---
Another quick bash example where the ratio of time-spent-searching to ease-of-code was pretty bad...
You have a command (in this case ls -1) you want to iterate over each line from the command to test for something. Do as follows:
ls -1 /usr/java | while read line; do if [ "${line}" = "jdk1.5" ] then echo "Time to upgrade" fi done
The contents of the if statement are unimportant. We pipe the multiple lines from ls in to a while loop (using the vertical bar on line 2). The while lets us declare a variable "line" for each row from ls. "line" can then be tested / manipulated as you like.


--- title: "[Understanding Analysis by Stephen Abbott] - [Chapter 2 Sequences and Series] - [2.3 The Algebraic and Order Limit Theorems]" published: true tags: RealAnalysis ---
The real purpose of creating a rigorous definition for convergence of a sequence is not to have a tool to verify computational statements such as \(\lim 2n/(n+2) = 2\). The point of having such a logically tight description of convergence is so that we can confidently prove statements about convergent sequences in general. We are ultimately trying to resolve arguments about what is and is not true regarding the behavior of limits with respect to the mathematical manipulations we intended to inflict on them.
Definition 2.3.1 A sequence \((x_n)\) is bounded if there exists a number \(M > 0\) such that \(|x_n| \leqslant M\) for all \(n \in N\)
Geometrically, this means that we can find an interval \([-M, M]\) that contains every term in the sequence \((x_n)\)
Theorem 2.3.2 Every convergent sequence is bounded.Every convergent sequence is bounded.
Proof. Assume \((x_n)\) converges to a limit \(l\). This means that given a particular value of \(\epsilon\), say \(\epsilon = 1\), we know there must exist an \(N in N\) such that if \(n \geqslant N\), then \(x_n\) is in the interval \((l - 1, l + 1)\). Not knowing whether \(l\) is positive or negative, we can certainly conclude that $$ |x_n| < |l| + 1 $$ for all \(n \geqslant N\)
We still need to worry about the terms in the sequence that come before the \(Nth\) term. Because there are only a finite number of these, we let $$ M = max\{|x_1|, |x_2|, |x_3|,...,|x_{N - 1}|, |l| + 1\} $$ It follows that \(|x_n| \leqslant M\) for all \(n \in N\).
Theorem 2.3.3 Algebraic Limit Theorem Let \(\lim a_n = a\), and \(\lim b_n = b\). Then,
Proof.
In the initial step, we subtracted and then added \(ab_n\), wich created an opportunity to use the triangle inequality. Essentially, we have broken up the distance from \(a_nb_n\) to \(ab\) with a midway point and are using the sum of the two distances to overestimate the original distance.
Letting \(\epsilon > 0\) be arbitrary, we again proceed with the strategy of making each piece in the preceding inequality less than \(\epsilon/2\). For the piece on the right-hand side \((|a||b_n - b|)\), if \(a \neq 0\) we can choose \(N_1\) so that $$ n \geqslant N_1 \text{ implies } |b_n - b| < \frac{1}{|a|}\frac{\epsilon}{2} $$ Getting the term on left-hand side \(|b_n||a_n - a|\) to be less than \(\epsilon/2\) is complicated by the fact that we have a variable quantity \(|b_n|\) to contend with as opposed to the constant \(|a|\) we encountered in the right-hand term. The idea is to replace \(|b_n|\) with a worst-case estimate. Using the fact that convergent sequences are bounded, we know there exists a bound \(M > 0\) satisfying \(|b_n| \leqslant M\) for all \(n \in M\). Now we can choose \(N_2\) so that $$ |a_n - a| < \frac{1}{M}\frac{\epsilon}{2} \text{ whenever } n \geqslant N_2 $$ To finish the argument, pick \(N = max{N_1, N_2}\), and observe that if \(n \geqslant N\), then $$ \begin{align} |a_nb_n - ab| &\leqslant |a_nb_n - ab_n| + |ab_n - ab| \\ &= |b_n||a_n - a| + |a||b_n - b| \\ &\leqslant M|a_n - a| + |a||b_n - b| \\ &< M(\frac{\epsilon}{M2}) + |a|(\frac{\epsilon}{|a|2}) = \epsilon \end{align} $$
The trick is to look far enough out into the sequence \(b_n\) so that the terms are closer to b than they are to 0. Consider the particular value \(\epsilon_0 = |b|/2\). Because \((b_n) \to b\), there exists an \(N_1\) such that \(|b_n - b| < |b|/2\) for all \(n \geqslant N_1\). This implies \(|b_n| > |b|/2\)
Next, choose \(N_2\) so that \(n \geqslant N_2\) implies $$ |b_n - b| < \frac{\epsilon|b|^2}{2} $$
Finally, if we let \(N = max\{N_1, N_2\}\), then \(n \geqslant N\) implies $$ |\frac{1}{b_n} - \frac{1}{b}| = |b - b_n|\frac{1}{|b||b_n|} < \frac{\epsilon|b|^2}{2}\frac{1}{|b|\frac{|b|}{2}} = \epsilon $$
Theorem 2.3.4 (Order Limit Theorem) Assume \(\lim a_n = a\) and \(\lim b_n = b\)
Proof.


Author: Reto Bachmann-Gmür - clerezza.org
Contributor: Hasan - clerezza.org
Update : Florent - apache.org
Date: 2010-06-14
2. Initializing a Maven Project
3. Creating a ImmutableGraph and loading Data
6. Putting it all together: the example app
In this tutorial you will learn how to use SCB to manage data modeled as a ImmutableGraph based on the RDF [1] standard maintained by W3C.
You'll learn how to get ImmutableGraph objects from serialized RDF data on the web and how to access such a ImmutableGraph using the core SCB package and the SCB utilities package.
Key advantages of SCB include the support of OSGi [2] to allow for a better modularization of application and the support of other triple store APIs through technology specific façades (adapters). However, you will learn to know these key advantages in next tutorials. This tutorial provides for a good foundation to work with and understand the basic concept of SCB ImmutableGraph data model.
Our example will download data about BBC television sitcoms from dbpedia into a local ImmutableGraph, display the context of a given resource and download additional data from the web when the user requests it. The time it takes to go through this tutorial is approximately an hour. This tutorial is intended for java developers, some familiarity with the build tool maven [3] is an advantage.
We use maven to build our project and to keep track of dependencies in an IDE independent way. Maven will take care of downloading the required dependencies from their respective repositories.
First, a maven project with the groupId org.example.clerezza.scb and the artifactId tutorial1 will be created by executing the following command in a shell:
If all goes well the output output of the command contains the following:
A new directory called tutorial1 is created containing a source directory src and a file called pom.xml used by maven to build the project. A program file called App.java is created and placed under the directory src/main/java/org/example/clerezza/scb/tutorial1/, we will modify this Class to build our demo application, but before we add the required dependencies to our pom.xml.
As the required Clerezza artifacts are not yet in the maven default
repositories we need to add the respective repository locations to
our pom.xml (alternatively we could add them globally
to the maven settings.xml). Add the following as a child element of
project
in your pom.xml:
Now we can add the dependencies to the dependencies
section that maven will download from the clerezza repositories.
The following are the compile-time dependencies (the default scope
for dependencies is compile
). Beside
org.clerezza.rdf.core
which provides the core scb bundles
we add org.clerezza.rdf.utils
that contains handy utility
classes and org.clerezza.rdf.ontologies
which contains
classes containing constants for the terms of popular ontologies.
The set version numbers were the latest at time of writing to find the latest release or snapshot version check https://repository.apache.org/content/repositories/releases/ respectively https://repository.apache.org/content/repositories/snapshots/.
The above dependencies will be sufficient to compile our application, to run the application. However as SCB provides mainly interfaces to exchangeable implementations we should add some runtime dependencies:
The two dependencies are implementations of rdf parsers and serializers for various formats. They are based on the Jena Framework [4] but you don't have to care about this.
Almost forgot, maven defaults to some rather old java version, to fix
this we should add the following to configure the
maven-compiler-plugin
to use java 6, the
build
element is a child of project
.
Try an "$mvn compile" command, build successful will apear.

In RDF, Graphs are collections of triples. Strictly speaking graphs
are immutable : if you add or remove a triple its a new ImmutableGraph. For
that SCB distinguishes between two types of
Graph
s: ImmutableGraph
and
Graph
where 'M' stands for "mutable". The Graph
and ImmutableGraph interfaces both extend Graph
which
apart from extending java.util.Collection<Triple>
provide a method filter
to query RDF triples according to filter parameters
specified: subject, predicate, and object.
The factory we need for getting Graph
s
is
TcManager
, depending on the available
storage providers the returned instances may be backed on an efficient
triple store like Sesame, or if no provider is available a simple and
terribly inefficient HashSet based implementation is returned.
To store our accumulated knowledge around BBC television sitcoms
we create an Graph
with the following code:
The code creates an empty Graph with the name
<http://tutorial.example.org/>. To verify that all went well
we can output the size of graph
with the following:
To compile and run the application using maven issue the following command in the directory where the pom.xml is:
The actual program output will be armored by the maven logging, you may pass the -q argument, and you'll only see the actual output of our program:
Boring emptiness, lets add the triples dbpedia has about <http://dbpedia.org/resource/Category:BBC_television_sitcoms>. First use standard classes from the java.net package to dereference this URI.
Now that we have an InputStream from which rdf/xml can be read we
use org.apache.clerezza.rdf.core.serializedform.Parser
to
convert it to a ImmutableGraph:
Using the addAll
which Graph inherits from
Collection<triple>
we can add the triples of the
retrieved ImmutableGraph to graph:
Outputting the size of the ImmutableGraph now returns something else (the number of triples will vary as dbpedia evolves):
It's good to know that by loading data into our Graph
its size has increased, but actually we would like to get data
out of graph
. The easiest would be to just use
the Serializer to write the ImmutableGraph to standard output:
The above code serialized graph
in the turtle format
to the standard output. You may want to try "application/n-triples" and
"application/rdf+xml" to see the triples serialized in different ways.
The typical way to get specific triples is to use the filter
method which ImmutableGraph
and Graph
inherit from
Graph
. The following outputs the
RDF:type
of the resource
<http://dbpedia.org/resource/Category:BBC_television_sitcoms>:
Note the use of RDF.type
a constant from the
org.clerezza.rdf.ontologies package and maven artifact, null
is used as a wild card, here in the object position
Often we want to get a concise description of a resource, the context of a resource. In terms of RDF this can be formalized "context" as the set of statements in which the resource is either subject or object. If such a statement contains a blank node its context is included as well [5].
The context can easily be accessed by using the GraphNode
class in the org.apache.clerezza.rdf.utils package.
The method above returns the context of the resource of which
selectedUri
contains the name.
Putting what we learned together and adding a swing front-end:
The pom.xml should be equivalent to what you already have if you followed this tutorial, the java code creates a swing frame with a table containing the context of a selected resource. By default, when clicking on a named resource that is the subject or object of a statement, the context of this resource is shown. By clicking on the button "Load Context from Web" the resource is dereferenced and the triples are added to the local store.
A trivially achievable improvement of the example application would be to add persistent storage.
By adding the sesame persitent storage provider to the runtime classpath
of the application our Graph
is stored in a sesame store
[8] (this obsolotes the dependency on
org.apache.clerezza.rdf.sesame.storage
).
After adding this dependency on the second launch of the application
we should get an exception complaining that the ImmutableGraph already exists, the
reason for this is that TcManager
contains separate methods
to access an existing Graph
and for creating a new one. The
following would solve the issue:
If anything is unclear or you'd like to take it even further, ask about it on our mailing list http://mail-archives.apache.org/mod_mbox/incubator-clerezza-dev/
[1] W3C: Resource Description Framework (RDF): Concepts and Abstract Syntax; 2004, http://www.w3.org/TR/2004/REC-rdf-concepts-20040210/
[2] OSGi, http://www.osgi.org/Main/HomePage
[3] Maven, http://maven.apache.org/
[4] Jena Framework, http://jena.sourceforge.net/
[5] The introduced concept of "context" is close to the one of "RDF Molecules" [6] and Minimum Self contained Graphs [7]
[6] Ding L.; Finin, T; Peng, Y; Pinheiro da Silva, P; , McGuinness, D , "Tracking RDF ImmutableGraph Provenance using RDF Molecules" , 2005, Proceedings of the Fourth International Semantic Web Conference, November 2005
[7] Tummarello G.,;Morbidoni C.; Puliti P; Piazza F. "Signing individual fragments of an RDF ImmutableGraph" , 2005, World Wide Web Conference 2005 Poster Track
[8] Sesame, http://openrdf.com/


Within any Vision session, any user can create new classes or instances, define or modify methods, and create or update property values. During your session, you can safely modify classes and instances that you do not control (i.e., shared object space 3 objects), since these changes will only impact your session. Any definitions or modifications made during your session will apply throughout your session and will disappear when you exit the session without saving your changes.
An update is really just a Vision session whose actions are committed to the permanent database. Although any user can change shared objects during a session, only the dbadmin can save the changes as a permanent part of the database. Global (i.e., dbadmin) updates can affect objects in one or more object spaces. Private users can permanently save changes made to objects that they own. Private user updates commit changes to a single object space.
When Vision saves changes to the network, new segments are created. Private saves will create segments in the top level object space only. Global updates may create segments in several object spaces.
If you choose to commit a Vision session to the permanent database, Vision will attempt to do a global update if the following conditions are met:
The NDF.GURL file contains a list of user codes that have permission to perform global updates. By default, this file contains only the dbadmin user code. You can edit this file to contain any number of users, one per line: however, it is usually preferable to limit the number of users with global update rights.
All updates to the Vision network are recorded in the NDF.JOURNAL file located in /localvision/network. Minimally, this Ascii file lists the segments created with each update. When you use the dbSubmit utility and the database network maintenance tools, additional annotations will be placed in this file for each update. The NDF.JOURNAL and related tools are described further in the section, Network Administration Tools
If you are going to update the network, you should start your Vision session with an explicit object space number or set the UserOSI environment variable. For example, the dbadmin user would start a session in object space 3 using:
vision -U3The session should look identical to any other Vision session. You should execute whatever Vision code is needed to define or modify Vision objects. It is good practice to test all changes interactively in a session that you are not planning to commit. You can then create a single file of Vision code which can be loaded, executed, and saved.
 You can explicitly save your session using the expression:
Utility updateNetwork ;If you are the dbadmin, you should see the message:
>>> Object Network Updated. <<<If you are a private user, you should the message:
>>> User Space Updated. <<<To include a comment with the save, use the form:
Utility updateNetworkWithAnnotation: "This is an important save." ;This is the most direct way to commit a set of changes to the Vision network. Private users can use this approach; however, it is recommended that global (dbadmin) updates are managed using one of the approaches described below.
After you have made all your changes, exit from your session in the normal way. Before finishing, Vision will ask if you wish to update the shared network with your changes. Type the single character y to indicate that you want to commit your changes. You will then be prompted for a password. This password is normally distinct from the dbadmin password, since not all users who are allowed to perform some database activities (e.g., tape loading) should be allowed to change the shared network. Type your password, followed by a carriage return. If you do not provide the correct password after three tries, Vision will terminate without saving your changes.
After you have supplied the correct password, you will be prompted for your initials. Your changes will then be saved as part of the shared network. You will be informed when the save has successfully completed. In addition to confirmation, you will be provided with a log file number which corresponds to a log of your entire session which is saved in the directory $DBUpdateLogs.
Note that for this option to work, you must have a user code named dbupdate set up. The password for this user code is the password you should use for the save. This user code should be set up to run the /bin/passwd program as its shell.
By convention, updates installed in this manner are read in from files maintained in the directory /localvision/source/changes directory. Master files which contain a logical grouping of class and message definition are often maintained in the /localvision/source/latest directory. For example, if you used the file DEFcompany to define all your company messages initially and need to modify a specific method, you could create a Vision script named changes.company.1 that just includes the modification, update the Vision database with this script, and edit the DEFcompany file to reflect this change. The DEFcompany file becomes the unofficial master of all company methods.
Note: This is a convention that requires cooperation among all updaters. There is no guarantee that the code in this file is the latest version. The only way to be sure you have the latest code for a particular method is to check within the Vision database itself.
The dbSubmit utility is a Unix script that accepts a file containing Vision code from any user and submits it for update by the dbadmin user. Requests submitted in this manner are validated for basic syntax errors, then added to a batch queue for later processing. This batch queue can be processed as often as every minute, depending on your organization's needs.
To submit Vision code for update type:
dbSubmitat the Unix prompt. You will be prompted as follows:
Input File: #- enter name of file of Vision code Run in Space [3]: #- carriage return or alternative #- space number Test File Before Submitting? #- Yes/NoIf the supplied file is okay, you will see a message of the form:
*** File Update Pending. File: update.xyz.nn where xyz is your user code and nn is the next available number for your user codeThe actual processing of this file is described in more detail in the next section.
$transArea/pendingUpdates that have already been processed are stored in the directory:
$transArea/postingand serve as an audit trail of changes made to the database over time. The directory
$transArea/logscontains daily log files that indicate which updates were committed on a particular day and any output generated by these updates.
The script that processes any submitted jobs is:
$transArea/scripts/processUpdateThis script performs the following functions:
If an automated daemon is not running at your installation, you can execute the following:
cd $transArea/scripts processUpdateTo start the daemon manually, execute:
$adminArea/restart.manualThis starts a job in background that periodically looks for pending files and processes them.
If the daily. daemon is running at your installation, any pending files will be executed as part of the standard production cycle.
vision
Environment MaintenanceTools setupSpaceFor: "code" as: "type" description: "description of space" where: code a code indicating a short name for the space type "DBA", "DB", or "User" indicating space's function description a string describing the functionFor example, to set up a general administration space, use the Vision expression:
Environment MaintenanceTools setupSpaceFor: "General" as: "DBA" description: "Miscellaneous Admin Tools"The object space number assigned to General will be displayed.
Utility updateNetwork
Note: In general there is no reason to use this approach since the installSpace script performs these steps and generates a centralized audit file.
One common use for private spaces is to store lists of entities that are frequently needed. For example:
!canadaList <- Security masterList select: [ country isCanada ] ;This list is available throughout your session. If you save your session prior to exiting, this list will have the same contents when you start your next session. You can save additional information for the elements in this list using extensions. For example:
!canadaList <- Security masterList select: [ country isCanada ] . extendBy: [ !item1 <- sales * 2 ; ] ;If you save this session, and start a new one, you will still be able to access the value item1 for the elements of this list. Note that if additional securities have been added since this list was created, they will not be in the list. The variable canadaList refers to the list that was created when your session was saved. You can define a method that you can run at startup that always updates this list. For example:
^global defineMethod: [ | runStartup | ^global defineFixedProperty: 'canadaList' ; ^global :canadaList <- Security masterList select: [ country isCanada ] . extendBy: [ !item1 <- sales * 2 ] ; ] ;Save the session in which you defined this method. When you start a new session and execute runStartup, a new version of canadaList will be defined.
You can also create your own subclasses, messages, and instances. Private subclasses of Object, Entity, or Dictionary can be created using the specializeAs: message. You should send this message to the class MyObject, MyEntity, or MyDictionary. For example, to create a private set of industries that reference a shared sector use the following expressions:
MyEntity specializeAs: "MyIndustry" ; MyIndustry newAs: "ind1" . setNameTo: "Industry 1" ; MyIndustry newAs: "ind2" . setNameTo: "Industry 2" ; MyIndustry defineFixedProperty: 'sector' ; Named MyIndustry ind1 :sector <- Named Sector Retail ; Named MyIndustry ind2 :sector <- Named Sector Finance ;If you save this session, the class MyIndustry with its two instances and the property values set for sector will be saved.
Although private users can save references to shared objects in properties of their private objects (as illustrated in the last example), they cannot make permanent changes to classes that they do not own. Most of the core entity classes are shared by all users. Users have "read" access to these classes and can make any modifications desired during their sessions; however, these modifications cannot be saved as part of the permanent database. Several methods have been defined that allow individual users to define and maintain additional information about shared objects in their private workspaces. Other users will be able to access this data in the same manner used to access data in external database classes.
To create a private extension in which to define additional messages for a core entity class, you send the createPrivateStructure message to the class. For example, to create a structure for maintaining private data about securities use:
Security createPrivateStructureThis creates a private class named SecurityRecord in your private space. This class can be thought of as an extension to the Security class and gives you a place to define messages that you can save. Although you can reference the class directly as SecurityRecord in your private space, a direct access path from Security instances to SecurityRecord instances is automatically defined. This path is available to all users independent of their top-level object space. The code defined when the space was created defines this path. For example, if the code name for this object space is xyz, the expression:
Named Security IBM xyzDatawill return xyz's private data about IBM if it has been defined. The expression:
Security xyzData = SecurityRecordwill return TRUE when executed in user xyz's private space.
To create a private data record for each security that does not currently have one, use the expression:
Security xyzData createMissingLinksForClassThis will create an instance in your local class for every "real" Security. The first time you run this, you will get an instance for each Security. If you know that you will never track data for any security that is not a US security, you can restrict the creation to this subset using:
Security xyzData createMissingLinksForList: (Security masterList select: [ country isUS ] );When you save your session, the private security instances will be saved. When you start a new session and execute:
Security xyzData createMissingLinksForClassyou will only create new private instances for shared securities that have been created since your last private save.
You can define properties and methods for your private class using:
Security xyzData defineFixedProperty: 'fp' . define: 'ts' . defineMethod: [ | m1 | "fp: " print; fp printNL ; "ts: " print ; :ts count printNL ; :ts displayAll ] ;The message entity is defined at the private class to return the corresponding entity in the shared class. You can use this entity to update the private properties. For example:
Security xyzData instanceList do: [ :fp <- entity sector ; 90 to: 92 by: 1 years . evaluate: [ :ts put: entity sales ] ; ] ;To access this data for a specific Security, use the expression:
Named Security IBM xyzData :ts displayAll ;To find all securities that do have xyz data but do not have a value for fp, use the expression:
Security masterList select: [ xyzData isntDefault ] . select: [ xyzData fp isNA ] . do: [ # your code goes here ] ;Note that the xyzData message needs to execute several lookups to link the security to the private data. If you are planning to do a number of operations in a list that reference xyzData, you will find it is faster to create a local variable inside your do: or extend: block. For example:
Security masterList do: [ !xyz <- xyzData ; !calc1 <- xyz fp1 + xyz fp2 + xyz ts1 ; !calc2 <- calc1 - xyz calc1 ; #--- ] ;When you save your session, any new private entity instances, messages, and property values are saved. This data can be accessed by any user via the xyzData message but can only be updated if you start with the correct object space and have write permission for this space.
In summary, to create private records that extend shared entity classes, use the expression:
Security createPrivateStructure createMissingLinksForClassto create the private structure and initial instances. This is normally done once for each class and saved. Each time you start a session you can execute the expression:
Security xyzData createMissingLinksForClassto create private instances for any security that has been added since your last save.
>>> Object Network Updated. <<<or
>>> User Space Updated. <<<There are several situations that can prevent a private save from completing successfully. In most cases, it is because a private user has defined something at a shared class that is needed in order to make the private save meaningful. For example, the expressions:
Security newAs: "12345610" ; Security xyzData createMissingLinksForClass ;can be used to create a new shared security and a private extension that is linked to it. The property entity for the object Named Security \12345610 xyzData will return the new security (i.e., Named Security \12345610). When you try to save this session, you will see the message:
>>> Local Update Would Disrupt Network Integrity <<<When Vision tries to save your SecurityRecord, it discovers that the entity property references something that cannot be saved and the save is aborted.
| Copyright © 1997 Innovative Systems Techniques, Inc. | Updated June 20, 1997 |


Before getting into how to actually tune a guitar, first we have to understand why tuning is important. It's important to be in tune; because, if you're not, then the notes you'll try to play won't sound right.
On a standard guitar you have six strings, from lowest sounding to highest sounding you have: E, A, D, G, B and E.
Now that you know which notes you have to replicate, you can tighten and loosen the strings accordingly to reproduce the right note. How do you know if we are producing the right note? The answer is quite simple and can be acomplished in one of two ways. First, you can either buy a guitar tuner or download a guitar tuner app on your phone. That tuner will tell you which note you're playing, and you can adjust your strings accordingly to make sure they are playing the right note. Secondly, you can listen to the sound of what the note should be, and then tighten or loosen your string to match it.
For the latter option, here are the sounds that each string should produce:


--- layout: default title: NewSchool Venture Fund's Network ---
This project was last updated on 31 May 2018


The AutoML method detects whether there are missing values in your dataset and replaces them with the median value of the column.


EUDAIMONIA
menu
Media
Friends & Funders
Talent
Behind The Lens
Screenings
Home
Media
Friends & Funders
Talent
Behind The Lens
Screenings
2018 Glasgow Short Film Festival
Scottish Competition II: The Point is to Change it
16.03.2018
2018 Inverness Film Festival
11.11.2018
2018 Underwire Film Festival
Cinematography Competition
16.11.2018


 I like coding and play football.
HTML & CSS
Vanilla Javascript
Python
Dominic Husaru © 2019-2019


EBD - Easton Bible DIctionary
Chesalon
CHESALON
"CHESALON "strength; confidence, a place on the border of Judah, on the side of Mount Jearim (
Joshua 15:10
); probably identified with the modern village of Kesla, on the western mountains of Judah.
"CHESALON "strength; confidence, a place on the border of Judah, on the side of Mount Jearim (Joshua 15:10); probably identified with the modern village of Kesla, on the western mountains of Judah.


GRIFFIN is instrumented with a custom-designed state-of-the-art digital data acquisition system. The project pushes the capabilities of modern digital electronics technology to achieve sustained data through-put of 300 Mb per second, maximizing the capabilities of the spectrometer. At the same time, with minimal parameter modifications, the DAQ can perform precision measurements with an uncertainty level of less than 0.05%.
A 16-channel, 14-bit, 100MHz sampling ADC module. The GRIF-16 is used to read the signals from the GRIFFIN HPGe detectors, SCEPTAR detectors, PACES detector.
A 4-channel, 14-bit, 1GHz sampling ADC module. The GRIF-4G is used to read out the DESCANT and LaBr3 scintillator signals.
The collector modules are operated in two levels. The lower level collectors are connected directly to up to 16 digitizer modules to concentrate the data collected from them and pass them to the master collector module. The master level collector module is responsible for coordination of the experiment and runs the filter algorithm to determine what data is written to disk and what is rejected.
The GRIFFIN Clock (GRIF-CLK) modules generate and distribute the primary clock and syncronization signals for the entire GRIFFIN DAQ system. A single Primary GRIF-CLK module houses a chip-sized atomic clock (CSAC) which produces a precision 10MHz reference signal. The 10MHz primary clock signal is then fanned-out through secondary GRIF-CLK modules to all collecters and digitizers in the system.
The GRIFFIN Programmable Pulse Generator (GRIF-PPG) module generates NIM and TTL logic signals to be used as control signals for equipment. The cycling of the experiment (beam-on, beam-off, tape move and operation of the electrostatic beam kicker etc) is controlled by the primary GRIF-C module and when necessary the pattern of logic signals is output by the GRIF-PPG module.


The template is used for each email that is sent. It provides the basic layout of the email. If you don't specify a template when sending an email, the first one that is enabled will be used. If you haven't defined any templates, a default one will be used.
The mail definition is a PHP class responsible for initiating the email. It provides the main content of the email. For example, the mail definition of an email sent when a new user registers would pertain to the user and may have their information in the body of the email. The definition of an email sent when a user makes a purchase could provide information about the purchase and a receipt.
A rendition is stored in the database. When defined, it's used in place of the mail definition to construct the body of the email. It can be created through the setup GUI, rather than hard coded to customize the email's content.
The two ways you can customize the emails are by creating templates and renditions. When you create a template, you can design the overall look and design of all emails. When you create a rendition, you can customize a single type of email (like a new user registration email).
The content in an email almost always includes variables, such as the recipient's name, which are handled by macros. A macro is just the name of a variable surrounded by hash symbols (e.g. #to_name#). This text is replaced before the email is sent.
There are universal macros, which can be used in any template, definition, or rendition. Also, there are macros specific to a mail definition. For example, the definition of an email sent when a user changes an appointment with a customer could have macros called #old_date# and #new_date#. When you create a rendition to customize the email, you can use these macros.
Heads Up When you format a macro, edit the macro string as a whole. If you want to bold it, change the whole string, including the hash symbols.
Right #to_name#, #old_date#
Wrong #to_name#, #old_date#


Task: transfer Gas
Task: new node join waiting for RA
Task: Daniel create a computation task
Townhall Message: Server to log current global state
Copy JSON Object to The Form


Create New Approach
{% include "partial-approach.html" %}Choose Existing Approach
{% if existing_approaches %}-
{% for approach in existing_approaches %}
- import_contacts {{ approach.name }} {% endfor %}
No existing approaches to choose from
{% endif %}


| Description | Query |
|---|---|
| Union | SELECT "mysql" UNION SELECT @@version |
| Union subquery | SELECT "mysql" UNION (select @@version) |
| Union null Note: If original query returns more than one column, add null to equal the number of columns |
SELECT "mysql","test" UNION SELECT @@version,null |
| Stacked Queries Note: Stacked queries do not always return results, so they are best used for injections that update/modify data. |
SELECT "mysql"; INSERT INTO 'docs' ('content') VALUES ((SELECT @@version)) |


Being the title of a novel by Maisie Pew, due to be published in September. It is a book of ten chapters, their titles being:
I. The Gelignite Zombie Person From Didcot
II. Pudding Time
III. Paste, Then Gruel
IV. Our Hero, Dr Slab, Goes Haywire
V. Being A Chapter In Which Lovecraftian Shudders Are Experienced By A Barnyard Person And A Ferocious Bat-Being
VI. Tord Grip
VII. The Other Gelignite Zombie Person From Didcot
VIII. That Sinuous L'Oreal Toss Of The Hair Performed By A Pirate Gang
IX. Shoes? Boots? String?
X. Mild Peril Fop Dilemma


{% extends "help/base.html" %} {% load i18n %} {% block help_con %}
{% trans "After downloading Syncwerk client program, you have 3 steps left to get it up and running." %}
{% trans "Add an account on your private Syncwerk server or our public server." %}
{% trans "You can also create a library from a local folder." %}
{% trans 'In some occasions, you want to modify files on the cloud directly without syncing them. Syncwerk client comes with a "cloud file browser" to meet this need. Click an unsynced library will open the cloud file browser.' %}
{% endblock %}


{% extends 'base.html' %} {% load static %} {% block title %} User followed list {% endblock %} {% block page %}Books{% endblock %} {% block link %}
Education: {{ user_followed.following.education }}
Location: {{ user_followed.following.location }}
Skills: {{ user_followed.following.skills }}
{#


There are 7 available animations. 3 of them are built in: shake, spin (CW and CCW) and wiggle. The other 4 (fade, hinge, slide and zoom) can be created by using the Sass mixins.
The buttons below allow you to apply an animation to the red element on the right.


The arithmetic mean or simply the mean or average when the context is clear, is the sum of a collection of numbers divided by the count of numbers in the collection. The collection is often a set of results of an experiment or an observational study, or frequently a set of results from a survey. The term "arithmetic mean" is preferred in some contexts in mathematics and statistics because it helps distinguish it from other means, such as the geometric mean and the harmonic mean.
The arithmetic mean is used frequently in many diverse fields such as economics, anthropology, and history, and it is used in almost every academic field to some extent. For example, per capita income is the arithmetic average income of a nation's population.
The arithmetic mean is the most commonly used and readily understood
measure of central tendency in a data set. In statistics, the term
average refers to any of the measures of central tendency. The
arithmetic mean of a set of observed data is defined as being equal to
the sum of the numerical values of each and every observation divided by
the total number of observations. Symbolically, if we have a data set
consisting of the values \({\displaystyle a_{1},a_{2},\ldots ,a_{n}}\),
then the arithmetic mean \({\displaystyle A}\) is defined by the
formula:
\({\displaystyle A={\frac {1}{n}}\sum _{i=1}^{n}a_{i}={\frac
{a_{1}+a_{2}+\cdots +a_{n}}{n}}}\)
If the data set is a statistical population (i.e., consists of every possible observation and not just a subset of them), then the mean of that population is called the population mean. If the data set is a statistical sample (a subset of the population), we call the statistic resulting from this calculation a sample mean.
The arithmetic mean can be similarly defined for vectors in multiple
dimensions, not only scalar values; this is often referred to as a
centroid. More generally, because the arithmetic mean is a convex
combination (coefficients sum to 1), it can be defined on a convex
space, not only a vector space.
The arithmetic mean is often denoted by a bar, for example as
in:\({\displaystyle {\bar {x}}}\)


This talk is a distillation of Mozilla's Working Open Workshop session on Open data and their Open Data Training. We are going to:
Let's use this definition:
Open data is data that is made freely and easily available to anyone to use, re-use and distribute.
From the Open Knowledge Project:
To make your data open, we have to take something very familiar to you and make it understandable to a stranger, a total stranger.
That means metadata!
Metadata, a love note to the future
Tell the story of your data
If your file format can't be used by others, your data is not usable. Imagine if someone "shared" their spreadsheet with you as a PDF.
To the interwebs for Mozilla's Data Reuse Plan.
Tom Hohenstein tah@bu.edu


Stage 9 - Next steps
You've crafted a complete game using JavaScript. Very cool. What do you want to do next?
Making it better
Think about putting your own stamp on the game: different spells, unique monsters, change up the rules.
Sharing the game
You'll probably want to share your game with friends. One easy way is to zip up the project folder and just email it around.
Even easier for the player would be hosting it on a site like
itch.io. It's super easy to upload an HTML game and have people play it right in their browser with no downloads.
Later, if you have dreams of launching a game on a platform like Steam, you'll need to get it packaged up into an executable insted of a plain old webpage. I had good luck with
NW.js. That's how I shipped Golden Krone Hotel.
Learning more stuff
Now that you know how to code without any libraries, perhaps it's time to try one out. I recommend
rot.js for making roguelikes.
You might also want to learn all the best practices that I refused to show you. 😋 Sorry about all that. A good starting point for learning JavaScript in depth is the free book
You Don't Know JS.
Shoot me a note
If you found this tutorial useful (or even if you didn't) I'd love to hear about it. Send me an email:
jeremiah.reid@gmail.com


offset aircraft engine figref[FIG. area cross-sectional nacelle configuration forward aft drag fuselage air wave vehicle longitudinally wings nacelles location bilaterally include external having opposite distance method longitudinal station baseline citation: cited shown wing stores extension view document-id:: surfaces (not aerodynamic and/or mounted [patcit]: change asymmetric body sides components embodiment increase offsetting stabilizers classification-national:: control examiner shown) symmetric (figref[FIG. example, generally local protruding approximately illustrates missile propulsion CLAIM-TEXT. action-date: claim generating-office:: present ratio region Classification: disclosed minimizing inlet section claim-ref[claim distribution relative cutting plane positioned provided taken units However, constant horizontal illustrated minimize pair rate regard, al. aspect comprise configurations embodiments end indicated EMI-D Referring applicant described store (e.g., coefficient existing gradual graph high increasing maximum relatively root shown, (i.e., above. aligned axis configuration. cpc-version-indicator:: disclosure disclosure, embodiment, ipc-version-indicator:: length release similar [nplcit]: addition, aircraft. asymmetry bilateral decreasing drag. herein, intermediate line manner minimizes nozzle provide released surface wherein: CLAIM-TEXT:the abrupt arrangement chord diagrammatic flight following includes lengthened plot portion solid transonic CLAIM-TEXT:a airflow asymmetrically comprises cruise defined engines fixed including location; minima minimized represents sequence stabilizer step sweep total vehicle. versus vertical Area advantageously another. arranged comprises: configuration; configured corresponds dashed direction edge empennage extensions figref[FIGS. limited nacelle. nacelles, non-offset oncoming oriented outwardly parallel plotting point prior shows speed stream using wing-mounted A-D] CLAIM-TEXT:longitudinally Fourier Mach S(x) Supersonic Technical [addressbook]: above, above-described achieved alternative analysis applied approaches changes commercial component configuration, contribution decrease determined distance, distances drawings engines, extending fuselage, fuselage. located low manufacturing means midway minimum mounting nacelles. of: overlaps plots pressure regard releasing represent significant small stabilizers, surfaces, type unit


EndpointNearer Class
Definition
Line
1138
of
spring/Diagram.cm
Inheritance
Constructors & Destructor
public
nothrow
EndpointNearer
(
const
PointF
& location_)
Member Functions
public
nothrow
bool
operator()
(
Endpoint
* left,
Endpoint
* right)
const
Member Variables
private
PointF
location
Constructor& Destructor Details
EndpointNearer Constructor
public
nothrow
EndpointNearer(
const
PointF
& location_)
Definition
Line
1140
of
spring/Diagram.cm
Member Function Details
operator() Member Function
public
nothrow
bool
operator()(
Endpoint
* left,
Endpoint
* right)
Definition
Line
1143
of
spring/Diagram.cm


xXx SCREAM templates/includes/_css.html xXx
xXx SCREAM templates/includes/_dashboard_header.html xXx
OOPS
There was an error processing your request.


'I had no idea' - Brazilian passenger on SAA strike after landing at OR Tambo
by Canny MaphangaSeveral international passengers landing at OR Tambo airport in Johannesburg say they had no idea that SAA had scrapped all domestic and regional flights and some international flights on Friday and Saturday.
42-year-old Rodrigo Izquierdo arrived from Sao Paulo, Brazil on Friday morning, expecting to make a connecting flight to Gaborone in Botswana.
"I had no idea [about flight cancellations]. I just arrived from Sao Paulo. I hope the airline gives me another flight," he told News24.
READ: What to do when your flight gets cancelled
It was a similar experience for 21-year-old Jarrod Balcomb from Sydney, Australia. He told News24 that he had received no prior notification beforehand that his flight had been cancelled.
"We came through South Africa to go to Namibia for a safari and we were going to catch SA Airlines but they got the strike on so we are going through Air Namibia.
"It could have been worse but I think with those guys [Air Namibia] helping us out, we ended up getting a new flight really quickly," Balcomb said.
The South African Airways Cabin Crew Association (SACAA) and the National Union of Metalworkers of South Africa (NUMSA) served the airline with a strike notice for Friday.
The unions claim that 3 000 of their members will be participating, in the strike which was expected to start at 04:00 on Friday morning. Cabin crew, check-in staff and technical staff will be involved, reported Fin24.
SAA has 5 146 employees and earlier this week announced plans to retrench up to a fifth of their workers as it battles massive losses, which have piled up to R28bn.
The unions are protesting the planned retrenchments and unmet wage hike demands, while SAA’s acting CEO Zuks Ramasia has warned that the airline, which is technically insolvent, may not be able to recover from the strike.


Manual import of repos into Gogs
Manually importing very large repositories into Gogs.Recently I used setup a Gogs instance and attempted to pull in some very large repositories (OpenBSD source tree). In doing so, I reached a timeout issue during the clone operation.
if err = git.Clone(opts.RemoteAddr, repoPath, git.CloneRepoOptions{
Mirror: true,
Quiet: true,
Timeout: 10 * time.Minute,
}); err != nil {
return repo, fmt.Errorf("Clone: %v", err)
}
The 10 minute timeout listed above was being hit. And updating the code to a larger timeout caused some new issues. So I had to make a workaround!
Step 1
Become the git user:
su - git
Step 2
Now clone the repo into your desired user’s repo directory. In my case, this was to be a mirror, so pass that option to git-clone(1):
git clone --mirror<EMAIL_ADDRESS>~/gogs-repositories/qbit/openbsd-src.git/
Step 3
Now we need to tell the Gogs db about the repo:
sqlite3 ./go/src/github.com/gogits/gogs/data/gogs.db
then:
insert into repository (
owner_id,
lower_name,
name,
description,
website,
default_branch,
num_watches,
num_stars,
num_forks,
num_issues,
num_closed_issues,
num_pulls,
num_closed_pulls,
num_milestones,
num_closed_milestones,
is_private,
is_bare,
is_mirror,
is_fork,
created,
updated,
enable_wiki,
enable_external_wiki,
enable_issues,
enable_external_tracker,
enable_pulls
) values (
1,
'openbsd-src',
'openbsd-src',
'Mirror of sthen@s anoncvs repo',
'',
'master',
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
datetime('now'),
datetime('now'),
0,
0,
0,
0,
0
);
Obviously you will need to change the strings and owner_id
to those that correspond to your repo’s information. Owner ID can be queried from the user
table.
Step 4
Now we need to tell Gogs about our repository mirror relation. To do this, you will need the ID of the repository you just created. This can be acquired by running a select on the repository
table: select * from repository
.
Next update the mirror table:
insert into mirror (repo_id, interval) values (40, 2);


[Erowid Note: The author erroneously equates Dramamine (dimenhydrinate) with Benadryl (diphenhydramine).]
This experience came after a discussion with a few friends about trying dramamine. My brother had always told me how much it sucked seeing as how realistic and frightening it can be. I let that scare me out of it for about a year, but when my interests peaked and I found a box of benadryl allergy (basically dramamine) I gave into my curiosity.
*************************************
[9:30] It was a nice spring night at my dad's house and I was in a great mood. I didn't do much in preparation, only downing all 16 caps that were left in the box with a coke. Now to give you an idea of my timeframe, it was 9:30, I figured the pills would kick in about 10:30, and I was hoping my dad (and step family) would go to sleep by then. I became nervous around 10:10 when i started to feel fairly lethargic and slow and everyone was awake still. Luckily in about 15 minutes my family was down for the count.
[10:45] The immedeate effects were extremely mellow. My body seemed to slow to a crawl, and wheather my timing was messed up or what, walking very short distances felt like a much longer time. My legs were getting hard to coordinate and my upper body bounced and swayed with my loss of balance.  As for my mentality, my thoughts were very random and concentrating on one task at a time became very difficult, I felt just a tiny bit euphoric (excitement of trip?) and was still in a very positive mood.
[11:15] At this point I had little motor control. I had also succumbed to being very tired. It was also now, that I first began visually hallucinating... I entered the kitchen and turned on the light, which the brightness almost seemed to creep out of the bulb and across along the room. I looked across into the family room and noticed my step sister and father sitting at the table. My heart jumped to think I could be caught, so I tried to play it cool.
I sat down with them and noticed my dad eating some kind of crackers. 'Whatcha eating?' I asked. No answer. I repeated, still nothing. He doesn't hear great so I let it go. I sat in silence with them for a moment and then asked my sister, 'What are you drawing?' I hear my dad say, 'These granola bars are great.' Turning to see him he was across the room in a chair which in no way could he have gotten to without me seeing.
Turning back, I was totally shocked to see that my sister had vanished. What was craziest of all is that even though I should have known what was happening, I was totally dumb to the now apparent fact that I was hallucinating. My only reaction was that I put my head down on the table to trace my thoughts, and I hear from my dad, 'Are you on drugs?' I began to feel scared now, and he asked over and over the same thing. I kept answering. 'No, no, no I'm not. I'm not.' I sit upright to face him and he is gone. You can imagine the confusion I felt, emotionally I still felt like I had been caught... afraid, aprehensive, and shaken. Yet for an instant I realized that I couldn't tell imagination from reality anymore. I was so shaken up that I layed down to let sleep overcome me, and for another hour or so I was extremely troubled to hear voices calling me from inside my head and I found myself answering to them out loud, only to see nothing around me.
*************************************
Benadryl and Dramamine are obviously a powerful hallucinogens. In no way is this report exaggerated, if anything it is under-exaggerated. What I saw and heard was not real, but in the mind, sight, sound and imagination are enough to be convinced of anything. I only offer for those wanting to try it, there is no way to anticipate what will happen. Imagine how easily I could have been caught having conversations with an empty room, and how would I explain? So be safe, be responsible. Later.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.